Reflection
List of Cases by Chapter
Chapter 1 Development Projects in Lagos, Nigeria 2 “Throwing Good Money after Bad”: the BBC’s
Digital Media Initiative 10 MegaTech, Inc. 29 The IT Department at Hamelin Hospital 30 Disney’s Expedition Everest 31 Rescue of Chilean Miners 32
Chapter 2 Tesla’s $5 Billion Gamble 37 Electronic Arts and the Power of Strong Culture
in Design Teams 64 Rolls-Royce Corporation 67 Classic Case: Paradise Lost—The Xerox Alto 68 Project Task Estimation and the Culture of “Gotcha!” 69 Widgets ’R Us 70
Chapter 3 Project Selection Procedures: A Cross-Industry
Sampler 77 Project Selection and Screening at GE: The Tollgate
Process 97 Keflavik Paper Company 111 Project Selection at Nova Western, Inc. 112
Chapter 4 Leading by Example for the London Olympics—
Sir John Armitt 116 Dr. Elattuvalapil Sreedharan, India’s Project
Management Guru 126 The Challenge of Managing Internationally 133 In Search of Effective Project Managers 137 Finding the Emotional Intelligence to Be a Real Leader 137 Problems with John 138
Chapter 5 “We look like fools.”—Oregon’s Failed Rollout
of Its ObamacareWeb Site 145 Statements of Work: Then and Now 151 Defining a Project Work Package 163 Boeing’s Virtual Fence 172 California’s High-Speed Rail Project 173 Project Management at Dotcom.com 175 The Expeditionary Fighting Vehicle 176
Chapter 6 Engineers Without Borders: Project Teams Impacting
Lives 187 Tele-Immersion Technology Eases the Use of Virtual
Teams 203 Columbus Instruments 215 The Bean Counter and the Cowboy 216 Johnson & Rogers Software Engineering, Inc. 217
Chapter 7 The Building that Melted Cars 224 Bank of America Completely Misjudges Its Customers 230 Collapse of Shanghai Apartment Building 239 Classic Case: de Havilland’s Falling Comet 245 The Spanish Navy Pays Nearly $3 Billion for a Submarine
That Will Sink Like a Stone 248 Classic Case: Tacoma Narrows Suspension Bridge 249
Chapter 8 Sochi Olympics—What’s the Cost of National
Prestige? 257 The Hidden Costs of Infrastructure Projects—The Case
of Building Dams 286 Boston’s Central Artery/Tunnel Project 288
Chapter 9 After 20 Years and More Than $50 Billion, Oil is No Closer
to the Surface: The Caspian Kashagan Project 297
Chapter 10 Enlarging the Panama Canal 331 Project Scheduling at Blanque Cheque Construction (A) 360 Project Scheduling at Blanque Cheque Construction (B) 360
Chapter 11 Developing Projects Through Kickstarter—Do Delivery
Dates Mean Anything? 367 Eli Lilly Pharmaceuticals and Its Commitment to Critical
Chain Project Management 385 It’s an Agile World 396 Ramstein Products, Inc. 397
Chapter 12 Hong Kong Connects to the World’s Longest Natural
Gas Pipeline 401 The Problems of Multitasking 427
Chapter 13 New York City’s CityTime Project 432 Earned Value at Northrop Grumman 451 The IT Department at Kimble College 463 The Superconducting Supercollider 464 Boeing’s 787 Dreamliner: Failure to Launch 465
Chapter 14 Duke Energy and Its Cancelled Levy County Nuclear
Power Plant 478 Aftermath of a “Feeding Frenzy”: Dubai and Cancelled
Construction Projects 490 New Jersey Kills Hudson River Tunnel Project 497 The Project That Wouldn’t Die 499 The Navy Scraps Development of Its Showpiece
Warship—Until the Next Bad Idea 500
Project ManageMent achieving coMPetitive advantage
Jeffrey K. Pinto Pennsylvania State University
Boston Columbus Indianapolis New York San Francisco Hoboken Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto Delhi
Mexico City São Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
F o u r t h E d i t i o n
To Mary Beth, my wife, with the most profound thanks and love for her unwavering support. And, to our children, Emily, AJ, and Joseph—three “projects” that are definitely
over budget but that are performing far better than I could have hoped!
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Library of Congress Cataloging-in-Publication Data
Pinto, Jeffrey K. Project management : achieving competitive advantage/Jeffrey K. Pinto.—Fourth edition. pages cm Includes index. ISBN 978-0-13-379807-4 (alk. paper)—ISBN 0-13-379807-0 (alk. paper) 1. Project management. I. Title. HD69.P75P5498 2016 658.4'04—dc23 2014036595
10 9 8 7 6 5 4 3 2 1
ISBN 10: 0-13-379807-0 ISBN 13: 978-0-13-379807-4
iii
BrIEF COnTEnTS
Preface xiii
Chapter 1 Introduction: Why Project Management? 1
Chapter 2 The Organizational Context: Strategy, Structure, and Culture 36
Chapter 3 Project Selection and Portfolio Management 76
Chapter 4 Leadership and the Project Manager 115
Chapter 5 Scope Management 144
Chapter 6 Project Team Building, Conflict, and Negotiation 186
Chapter 7 Risk Management 223
Chapter 8 Cost Estimation and Budgeting 256
Chapter 9 Project Scheduling: Networks, Duration Estimation, and Critical Path 296
Chapter 10 Project Scheduling: Lagging, Crashing, and Activity Networks 330
Chapter 11 Advanced Topics in Planning and Scheduling: Agile and Critical Chain 366
Chapter 12 Resource Management 400
Chapter 13 Project Evaluation and Control 431
Chapter 14 Project Closeout and Termination 477
Appendix A The Cumulative Standard Normal Distribution 509
Appendix B Tutorial for MS Project 2013 510
Appendix C Project Plan Template 520
Glossary 524
Company Index 534
Name Index 535
Subject Index 538
iv
COnTEnTS
Preface xiii
Chapter 1 IntroduCtIon: Why ProjeCt ManageMent? 1 Project Profile: Development Projects in Lagos, Nigeria 2
Introduction 4
1.1 What Is a Project? 5 General Project Characteristics 6
1.2 Why Are Projects Important? 9 Project Profile: “Throwing Good Money after Bad”: the BBC’s Digital
Media Initiative 10
1.3 Project Life Cycles 13 ◾ Box 1.1: Project Managers in Practice 15
1.4 Determinants of Project Success 16 ◾ Box 1.2: Project Management Research in Brief 19
1.5 Developing Project Management Maturity 19
1.6 Project Elements and Text Organization 23 Summary 27 • Key Terms 29 • Discussion Questions 29 • Case Study 1.1 MegaTech, Inc. 29 • Case Study 1.2 The IT Department at Hamelin Hospital 30 • Case Study 1.3 Disney’s Expedition Everest 31 • Case Study 1.4 Rescue of Chilean Miners 32 • Internet Exercises 33 • PMP Certification Sample Questions 34 • Notes 34
Chapter 2 the organIzatIonal Context: Strategy, StruCture, and Culture 36
Project Profile: Tesla’s $5 Billion Gamble 37
Introduction 38
2.1 Projects and Organizational Strategy 39
2.2 Stakeholder Management 41 Identifying Project Stakeholders 42 Managing Stakeholders 45
2.3 Organizational Structure 47
2.4 Forms of Organizational Structure 48 Functional Organizations 48 Project Organizations 50 Matrix Organizations 53 Moving to Heavyweight Project Organizations 55
◾ Box 2.1: Project Management Research in Brief 56
2.5 Project Management Offices 57
2.6 Organizational Culture 59 How Do Cultures Form? 61 Organizational Culture and Project Management 63 Project Profile: Electronic Arts and the Power of Strong Culture in Design Teams 64
Summary 65 • Key Terms 67 • Discussion Questions 67 • Case Study 2.1 Rolls-Royce Corporation 67 • Case Study 2.2 Classic Case: Paradise Lost—The Xerox Alto 68 • Case Study 2.3 Project Task Estimation and the Culture of “Gotcha!” 69 • Case Study 2.4 Widgets ’R Us 70 • Internet Exercises 70 • PMP Certification Sample Questions 70 • Integrated Project—Building Your Project Plan 72 • Notes 74
Contents v
Chapter 3 ProjeCt SeleCtIon and PortfolIo ManageMent 76 Project Profile: Project Selection Procedures: A Cross-Industry Sampler 77
Introduction 78
3.1 Project Selection 78
3.2 Approaches to Project Screening and Selection 80 Method One: Checklist Model 80 Method Two: Simplified Scoring Models 82 Limitations of Scoring Models 84 Method Three: The Analytical Hierarchy Process 84 Method Four: Profile Models 88
3.3 Financial Models 90 Payback Period 90 Net Present Value 92 Discounted Payback 94 Internal Rate of Return 94 Choosing a Project Selection Approach 96 Project Profile: Project Selection and Screening at GE: The Tollgate Process 97
3.4 Project Portfolio Management 98 Objectives and Initiatives 99 Developing a Proactive Portfolio 100 Keys to Successful Project Portfolio Management 103 Problems in Implementing Portfolio Management 104
Summary 105 • Key Terms 106 • Solved Problems 107 • Discussion Questions 108 • Problems 108 • Case Study 3.1 Keflavik Paper Company 111 • Case Study 3.2 Project Selection at Nova Western, Inc. 112 • Internet Exercises 113 • Notes 113
Chapter 4 leaderShIP and the ProjeCt Manager 115 Project Profile: Leading by Example for the London Olympics—Sir John Armitt 116
Introduction 117
4.1 Leaders Versus Managers 118
4.2 How the Project Manager Leads 119 Acquiring Project Resources 119 Motivating and Building Teams 120 Having a Vision and Fighting Fires 121 Communicating 121
◾ Box 4.1: Project Management Research in Brief 124
4.3 Traits of Effective Project Leaders 125 Conclusions about Project Leaders 126 Project Profile: Dr. Elattuvalapil Sreedharan, India’s Project Management Guru 126
4.4 Project Champions 127 Champions—Who Are They? 128 What Do Champions Do? 129 How to Make a Champion 130
4.5 The New Project Leadership 131 ◾ Box 4.2: Project Managers in Practice 132
Project Profile: The Challenge of Managing Internationally 133
4.6 Project Management Professionalism 134
vi Contents
Summary 135 • Key Terms 136 • Discussion Questions 136 • Case Study 4.1 In Search of Effective Project Managers 137 • Case Study 4.2 Finding the Emotional Intelligence to Be a Real Leader 137 • Case Study 4.3 Problems with John 138 • Internet Exercises 141 • PMP Certification Sample Questions 141 • Notes 142
Chapter 5 SCoPe ManageMent 144 Project Profile: “We look like fools.”—Oregon’s Failed Rollout of Its Obamacare
Web Site 145
Introduction 146
5.1 Conceptual Development 148 The Statement of Work 150 The Project Charter 151 Project Profile: Statements of Work: Then and Now 151
5.2 The Scope Statement 153 The Work Breakdown Structure 153 Purposes of the Work Breakdown Structure 154 The Organization Breakdown Structure 159 The Responsibility Assignment Matrix 160
5.3 Work Authorization 161 Project Profile: Defining a Project Work Package 163
5.4 Scope Reporting 164 ◾ Box 5.1: Project Management Research in Brief 165
5.5 Control Systems 167 Configuration Management 167
5.6 Project Closeout 169 Summary 170 • Key Terms 171 • Discussion Questions 171 • Problems 172 • Case Study 5.1 Boeing’s Virtual Fence 172 • Case Study 5.2 California’s High-Speed Rail Project 173 • Case Study 5.3 Project Management at Dotcom.com 175 • Case Study 5.4 The Expeditionary Fighting Vehicle 176 • Internet Exercises 178 • PMP Certification Sample Questions 178 • MS Project Exercises 179 • Appendix 5.1: Sample Project Charter 180 • Integrated Project— Developing the Work Breakdown Structure 182 • Notes 184
Chapter 6 ProjeCt teaM BuIldIng, ConflICt, and negotIatIon 186 Project Profile: Engineers Without Borders: Project Teams Impacting Lives 187
Introduction 188
6.1 Building the Project Team 189 Identify Necessary Skill Sets 189 Identify People Who Match the Skills 189 Talk to Potential Team Members and Negotiate with Functional Heads 189 Build in Fallback Positions 191 Assemble the Team 191
6.2 Characteristics of Effective Project Teams 192 A Clear Sense of Mission 192 A Productive Interdependency 192 Cohesiveness 193 Trust 193 Enthusiasm 193 Results Orientation 194
Contents vii
6.3 Reasons Why Teams Fail 194 Poorly Developed or Unclear Goals 194 Poorly Defined Project Team Roles and Interdependencies 194 Lack of Project Team Motivation 195 Poor Communication 195 Poor Leadership 195 Turnover Among Project Team Members 196 Dysfunctional Behavior 196
6.4 Stages in Group Development 196 Stage One: Forming 197 Stage Two: Storming 197 Stage Three: Norming 198 Stage Four: Performing 198 Stage Five: Adjourning 198 Punctuated Equilibrium 198
6.5 Achieving Cross-Functional Cooperation 199 Superordinate Goals 199 Rules and Procedures 200 Physical Proximity 201 Accessibility 201 Outcomes of Cooperation: Task and Psychosocial Results 201
6.6 Virtual Project Teams 202 Project Profile: Tele-Immersion Technology Eases the Use
of Virtual Teams 203
6.7 Conflict Management 204 What Is Conflict? 205 Sources of Conflict 206 Methods for Resolving Conflict 208
6.8 Negotiation 209 Questions to Ask Prior to the Negotiation 209 Principled Negotiation 210 Invent Options for Mutual Gain 212 Insist on Using Objective Criteria 213
Summary 214 • Key Terms 214 • Discussion Questions 215 • Case Study 6.1 Columbus Instruments 215 • Case Study 6.2 The Bean Counter and the Cowboy 216 • Case Study 6.3 Johnson & Rogers Software Engineering, Inc. 217 • Exercise in Negotiation 219 • Internet Exercises 220 • PMP Certification Sample Questions 220 • Notes 221
Chapter 7 rISk ManageMent 223 Project Profile: The Building that Melted Cars 224
Introduction 225 ◾ Box 7.1: Project Managers in Practice 227
7.1 Risk Management: A Four-Stage Process 228 Risk Identification 228 Project Profile: Bank of America Completely Misjudges Its Customers 230
Risk Breakdown Structures 231 Analysis of Probability and Consequences 231 Risk Mitigation Strategies 234
viii Contents
Use of Contingency Reserves 236 Other Mitigation Strategies 237 Control and Documentation 237 Project Profile: Collapse of Shanghai Apartment Building 239
7.2 Project Risk Management: An Integrated Approach 241 Summary 243 • Key Terms 244 • Solved Problem 244 • Discussion Questions 244 • Problems 244 • Case Study 7.1 Classic Case: de Havilland’s Falling Comet 245 • Case Study 7.2 The Spanish Navy Pays Nearly $3 Billion for a Submarine That Will Sink Like a Stone 248 • Case Study 7.3 Classic Case: Tacoma Narrows Suspension Bridge 249 • Internet Exercises 251 • PMP Certification Sample Questions 251 • Integrated Project—Project Risk Assessment 253 • Notes 255
Chapter 8 CoSt eStIMatIon and BudgetIng 256 Project Profile: Sochi Olympics—What’s the Cost of National Prestige? 257
8.1 Cost Management 259 Direct Versus Indirect Costs 260 Recurring Versus Nonrecurring Costs 261 Fixed Versus Variable Costs 261 Normal Versus Expedited Costs 262
8.2 Cost Estimation 262 Learning Curves in Cost Estimation 266
◾ Box 8.1: Project Management Research in Brief 270 Problems with Cost Estimation 272
◾ Box 8.2: Project Management Research in Brief 274
8.3 Creating a Project Budget 275 Top-Down Budgeting 275 Bottom-Up Budgeting 276 Activity-Based Costing 276
8.4 Developing Budget Contingencies 278 Summary 280 • Key Terms 281 • Solved Problems 282 • Discussion Questions 283 • Problems 284 • Case Study 8.1 The Hidden Costs of Infrastructure Projects—The Case of Building Dams 286 • Case Study 8.2 Boston’s Central Artery/Tunnel Project 288 • Internet Exercises 290 • PMP Certification Sample Questions 290 • Integrated Project—Developing the Cost Estimates and Budget 292 • Notes 294
Chapter 9 ProjeCt SChedulIng: netWorkS, duratIon eStIMatIon, and CrItICal Path 296
Project Profile: After 20 Years and More Than $50 Billion, Oil is No Closer to the Surface: The Caspian Kashagan Project 297
Introduction 298
9.1 Project Scheduling 299
9.2 Key Scheduling Terminology 300
9.3 Developing a Network 302 Labeling Nodes 303 Serial Activities 303 Concurrent Activities 303 Merge Activities 304 Burst Activities 305
9.4 Duration Estimation 307
Contents ix
9.5 Constructing the Critical Path 311 Calculating the Network 311 The Forward Pass 312 The Backward Pass 314 Probability of Project Completion 316 Laddering Activities 318 Hammock Activities 319 Options for Reducing the Critical Path 320
◾ Box 9.1: Project Management Research in Brief 321 Summary 322 • Key Terms 323 • Solved Problems 323 • Discussion Questions 325 • Problems 325 • Internet Exercises 327 • MS Project Exercises 328 • PMP Certification Sample Questions 328 • Notes 329
Chapter 10 ProjeCt SChedulIng: laggIng, CraShIng, and aCtIvIty netWorkS 330
Project Profile: Enlarging the Panama Canal 331
Introduction 333
10.1 Lags in Precedence Relationships 333 Finish to Start 333 Finish to Finish 334 Start to Start 334 Start to Finish 335
10.2 Gantt Charts 335 Adding Resources to Gantt Charts 337 Incorporating Lags in Gantt Charts 338 ◾ Box 10.1: Project Managers in Practice 338
10.3 Crashing Projects 340 Options for Accelerating Projects 340 Crashing the Project: Budget Effects 346
10.4 Activity-on-Arrow Networks 348 How Are They Different? 348 Dummy Activities 351 Forward and Backward Passes with AOA Networks 352 AOA Versus AON 353
10.5 Controversies in the Use of Networks 354 Conclusions 356 Summary 356 • Key Terms 357 • Solved Problems 357 • Discussion Questions 358 • Problems 358 • Case Study 10.1 Project Scheduling at Blanque Cheque Construction (A) 360 • Case Study 10.2 Project Scheduling at Blanque Cheque Construction (B) 360 • MS Project Exercises 361 • PMP Certification Sample Questions 361 • Integrated Project—Developing the Project Schedule 363 • Notes 365
Chapter 11 advanCed toPICS In PlannIng and SChedulIng: agIle and CrItICal ChaIn 366
Project Profile: Developing Projects Through Kickstarter—Do Delivery Dates Mean Anything? 367
Introduction 368
11.1 Agile Project Management 369 What Is Unique About Agile PM? 370
x Contents
Tasks Versus Stories 371 Key Terms in Agile PM 372 Steps in Agile 373 Sprint Planning 374 Daily Scrums 374 The Development Work 374 Sprint Reviews 375 Sprint Retrospective 376 Problems with Agile 376
◾ Box 11.1: Project Management Research in Brief 376
11.2 Extreme Programming (XP) 377
11.3 The Theory of Constraints and Critical Chain Project Scheduling 377 Theory of Constraints 378
11.4 The Critical Chain Solution to Project Scheduling 379 Developing the Critical Chain Activity Network 381 Critical Chain Solutions Versus Critical Path Solutions 383
Project Profile: Eli Lilly Pharmaceuticals and Its Commitment to Critical Chain Project Management 385
11.5 Critical Chain Solutions to Resource Conflicts 386
11.6 Critical Chain Project Portfolio Management 387 ◾ Box 11.2: Project Management Research in Brief 390
11.7 Critiques of CCPM 391 Summary 391 • Key Terms 393 • Solved Problem 393 • Discussion Questions 394 • Problems 394 • Case Study 11.1 It’s an Agile World 396 • Case Study 11.2 Ramstein Products, Inc. 397 • Internet Exercises 398 • Notes 398
Chapter 12 reSourCe ManageMent 400 Project Profile: Hong Kong Connects to the World’s Longest Natural
Gas Pipeline 401
Introduction 402
12.1 The Basics of Resource Constraints 402 Time and Resource Scarcity 403
12.2 Resource Loading 405
12.3 Resource Leveling 407 Step One: Develop the Resource-Loading Table 411 Step Two: Determine Activity Late Finish Dates 412 Step Three: Identify Resource Overallocation 412 Step Four: Level the Resource-Loading Table 412
12.4 Resource-Loading Charts 416 ◾ Box 12.1: Project Managers in Practice 418
12.5 Managing Resources in Multiproject Environments 420 Schedule Slippage 420 Resource Utilization 420 In-Process Inventory 421 Resolving Resource Decisions in Multiproject Environments 421 Summary 423 • Key Terms 424 • Solved Problem 424 • Discussion Questions 425 • Problems 425 • Case Study 12.1 The Problems of Multitasking 427 • Internet Exercises 428 • MS Project Exercises 428 • PMP Certification Sample Questions 429 • Integrated Project—Managing Your Project’s Resources 430 • Notes 430
Contents xi
Chapter 13 ProjeCt evaluatIon and Control 431 Project Profile: New York City’s CityTime Project 432
Introduction 433
13.1 Control Cycles—A General Model 434
13.2 Monitoring Project Performance 435 The Project S-Curve: A Basic Tool 435 S-Curve Drawbacks 436 Milestone Analysis 437 Problems with Milestones 438 The Tracking Gantt Chart 439 Benefits and Drawbacks of Tracking Gantt Charts 440
13.3 Earned Value Management 440 Terminology for Earned Value 441 Creating Project Baselines 442 Why Use Earned Value? 443 Steps in Earned Value Management 444 Assessing a Project’s Earned Value 445
13.4 Using Earned Value to Manage a Portfolio of Projects 450 Project Profile: Earned Value at Northrop Grumman 451
13.5 Issues in the Effective Use of Earned Value Management 452
13.6 Human Factors in Project Evaluation and Control 454 Critical Success Factor Definitions 456 Conclusions 458 Summary 458 • Key Terms 459 • Solved Problem 459 • Discussion Questions 460 • Problems 461 • Case Study 13.1 The IT Department at Kimble College 463 • Case Study 13.2 The Supercon- ducting Supercollider 464 • Case Study 13.3 Boeing’s 787 Dreamliner: Failure to Launch 465 • Internet Exercises 468 • MS Project Exercises 468 • PMP Certification Sample Questions 469 • Appendix 13.1: Earned Schedule* 470 • Notes 475
Chapter 14 ProjeCt CloSeout and terMInatIon 477 Project Profile: Duke Energy and Its Cancelled Levy County Nuclear
Power Plant 478
Introduction 479
14.1 Types of Project Termination 480 ◾ Box 14.1: Project Managers in Practice 480
14.2 Natural Termination—The Closeout Process 482 Finishing the Work 482 Handing Over the Project 482 Gaining Acceptance for the Project 483 Harvesting the Benefits 483 Reviewing How It All Went 483 Putting It All to Bed 485 Disbanding the Team 486 What Prevents Effective Project Closeouts? 486
14.3 Early Termination for Projects 487 Making the Early Termination Decision 489 Project Profile: Aftermath of a “Feeding Frenzy”: Dubai and Cancelled
Construction Projects 490
xii Contents
Shutting Down the Project 490 ◾ Box 14.2: Project Management Research in Brief 492
Allowing for Claims and Disputes 493
14.4 Preparing the Final Project Report 494 Conclusion 496 Summary 496 • Key Terms 497 • Discussion Questions 497 • Case Study 14.1 New Jersey Kills Hudson River Tunnel Project 497 • Case Study 14.2 The Project That Wouldn’t Die 499 • Case Study 14.3 The Navy Scraps Development of Its Showpiece Warship—Until the Next Bad Idea 500 • Internet Exercises 501 • PMP Certification Sample Questions 502 • Appendix 14.1: Sample Pages from Project Sign-off Document 503 • Notes 507
Appendix A The Cumulative Standard Normal Distribution 509
Appendix B Tutorial for MS Project 2013 510
Appendix C Project Plan Template 520
Glossary 524
Company Index 534
Name Index 535
Subject Index 538
xiii
PrEFACE
Project management has become central to operations in industries as diverse as construction and information technology, architecture and hospitality, and engineering and new product development; therefore, this text simultaneously embraces the general principles of project management while addressing specific examples across the wide assortment of its applications. This text approaches each chapter from the perspective of both the material that is general to all disciplines and project types and that which is more specific to alternative forms of projects. One way this is accomplished is through the use of specific, discipline-based examples to illus- trate general principles as well as the inclusion of cases and Project Profiles that focus on more specific topics (e.g., Chapter 5’s treatment of IT “death march” projects).
Students in project management classes come from a wide and diverse cross section of uni- versity majors and career tracks. Schools of health, business, architecture, engineering, information systems, and hospitality are all adding project management courses to their catalogs in response to the demands from organizations and professional groups that see their value for students’ future careers. Why has project management become a discipline of such tremendous interest and applica- tion? The simple truth is that we live in a “projectized” world. Everywhere we look we see people engaged in project management. In fact, project management has become an integral part of practi- cally every firm’s business model.
This text takes a holistic, integrated approach to managing projects, exploring both technical and managerial challenges. It not only emphasizes individual project execution, but also provides a strategic perspective, demonstrating the means with which to manage projects at both the program and portfolio levels.
At one time, project management was almost exclusively the property of civil and con- struction engineering programs where it was taught in a highly quantitative, technical man- ner. “Master the science of project management,” we once argued, “and the ‘art’ of project management will be equally clear to you.” Project management today is a complex, “manage- ment” challenge requiring not only technical skills but a broad-based set of people skills as well. Project management has become the management of technology, people, culture, stake- holders, and other diverse elements necessary to successfully complete a project. It requires knowledge of leadership, team building, conflict resolution, negotiation, and influence in equal measure with the traditional, technical skill set. Thus, this textbook broadens our focus beyond the traditional project management activities of planning and scheduling, project control, and termination, to a more general, inclusive, and, hence, more valuable perspective of the project management process.
What’s NeW iN the foUrth editioN?
New features
• Agile Project Management • Project Charters • MS Project 2013 Step-by-Step Tutorials • Appendix—Project Execution Plan Template • New Project Managers in Practice Profiles • Risk Breakdown Structures • Extreme Programming • Updated Problems in Chapters • New Project Management Research in Brief: “Does Agile Work?” • All MS Project Examples and Screen Captures Updated to MS Project 2013 • All Project Management Body of Knowledge (PMBOK) Referencing Updated to
5th Edition • Quarterly Updates for All Book Adopters on Latest Cases and Examples in Project
Management
Updated Project Profiles
Chapter 1 Introduction: Why Project Management? • Development Projects in Lagos, Nigeria • “Throwing Good Money after Bad”: The BBC’s Digital Media Initiative
Chapter 2 The Organizational Context: Strategy, Structure, and Culture • Tesla’s $5 Billion Gamble • Electronic Arts and the Power of Strong Culture in Design Teams
Chapter 3 Project Selection and Portfolio Management • Project Selection Procedures: A Cross-Industry Sampler
Chapter 4 Leadership and the Project Manager • Leading by Example for the London Olympics—Sir John Armitt • Dr. E. Sreedharan, India’s Project Management Guru
Chapter 5 Scope Management • “We look like fools.” Oregon’s Failed Rollout of Their Obamacare Website • Boeing’s Virtual Fence • California’s High-Speed Rail Project—What’s the Latest News? • The Expeditionary Fighting Vehicle
Chapter 6 Project Team Building, Conflict, and Negotiation • Engineers without Borders: Project Teams Impacting Lives
Chapter 7 Risk Management • The Building That Melted Cars • Bank of America Completely Misjudges Its Customers • Collapse of Shanghai Apartment Building • The Spanish Navy Pays Nearly $3 Billion for a Submarine That Will Sink Like a Stone
Chapter 8 Cost Estimation and Budgeting • Sochi Olympics—What’s the Cost of National Prestige? • The Hidden Costs of Infrastructure ProjectsThe Case of Building Dams
Chapter 9 Project Scheduling: Networks, Duration Estimation, and Critical Path • After 20 Years and More than $50 Billion, Oil Is No Closer to the Surface: The Caspian
Kashagan Project Chapter 10 Project Scheduling: Lagging, Crashing, and Activity Networks • Enlarging the Panama Canal
Chapter 11 Critical Chain Project Scheduling • Developing Projects through Kickstarter—Do Delivery Dates Mean Anything? • Eli Lilly Pharmaceutical’s Commitment to Critical Chain Project Scheduling
Chapter 12 Resource Management • Hong Kong Connects to the World’s Longest Natural Gas Pipeline
Chapter 13 Project Evaluation and Control • New York City’s CityTime Project • Boeing’s 787 Dreamliner: Failure to Launch (with update) • Earned Value Management at Northrop Grumman
Chapter 14 Project Closeout and Termination • Duke Energy and Its Cancelled Levy County Nuclear Power Plant • Aftermath of a “Feeding Frenzy”—Dubai and Cancelled Construction Projects • New Jersey Kills Hudson River Tunnel Project • The Navy Scraps Development of Its Showpiece Warship—Until the Next Bad Idea
oUr focUs
This textbook employs a managerial, business-oriented approach to the management of projects. Thus we have integrated Project Profiles into the text.
• Project Profiles—Each chapter contains one or more Project Profiles that highlight cur- rent examples of project management in action. Some of the profiles reflect on significant
xiv Preface
Preface xv
achievements; others detail famous (and not-so-famous) examples of project failures. Because they cover diverse ground (IT projects, construction, new product development, and so forth), there should be at least one profile per chapter that is meaningful to the class’s focus. There is a deliberate effort made to offer a combination of project success stories and project failures. While successful projects can be instructive, we often learn far more from examining the variety of reasons why projects fail. As much as possible, these stories of success and failure are intended to match up with the chapters to which they are attached. For example, as we study the uses of projects to implement corporate strategy, it is useful to consider Elon Musk’s $5 billion dollar decision to develop a “gigafactory” to produce batteries for his Tesla automobiles.
The book blends project management within the context of the operations of any successful or- ganization, whether publicly held, private, or not-for-profit. We illustrate this through the use of end-of-chapter cases.
• Cases—At the end of each chapter are some final cases that take specific examples of the material covered in the chapter and apply them in the alternate format of case studies. Some of the cases are fictitious, but the majority of them are based on real situations, even where aliases mask the real names of organizations. These cases include discussion ques- tions that can be used either for homework or to facilitate classroom discussions. There are several “classic” project cases as well, highlighting some famous (and infamous) examples of projects whose experiences have shaped our understanding of the discipline and its best practices.
Further, we explore both the challenges in the management of individual projects as well as broad- ening out this context to include strategic, portfolio-level concepts. To do this, we ask students to develop a project plan using MS Project 2013.
• Integrated Project Exercises—Many of the chapters include an end-of-chapter feature that is unique to this text: the opportunity to develop a detailed project plan. A very beneficial exercise in project management classes is to require students, either in teams or individu- ally, to learn the mechanics of developing a detailed and comprehensive project plan, in- cluding scope, scheduling, risk assessment, budgeting, and cost estimation. The Integrated Project exercises afford students the opportunity to develop such a plan by assigning these activities and illustrating a completed project (ABCups, Inc.) in each chapter. Thus, students are assigned their project planning activities and have a template that helps them complete these exercises.
And finally, we have integrated the standards set forth by the world’s largest governing body for project management. The Project Management Institute (PMI) created the Project Management Body of Knowledge (PMBOK), which is generally regarded as one of the most comprehensive frameworks for identifying the critical knowledge areas that project managers must understand if they are to master their discipline. The PMBOK has become the basis for the Project Management Professional (PMP) certification offered by PMI for professional project managers.
• Integration with the PMBOK—As a means to demonstrate the coverage of the critical PMBOK elements, readers will find that the chapters in this text identify and cross-list the corresponding knowledge areas from the latest, fifth edition of PMBOK. Further, all terms (including the Glossary) are taken directly from the most recent edition of the PMBOK.
• Inclusion of Sample PMP Certification Exam Questions—The Project Management Professional (PMP) certification represents the highest standard of professional qualifi- cation for a practicing project manager and is administered by the Project Management Institute. As of 2014, there were more than 600,000 PMPs worldwide. In order to attain PMP certification, it is necessary for candidates to undergo a comprehensive exam that tests their knowledge of all components of the PMBOK. This text includes a set of sample PMP certification exam questions at the end of most of the chapters, in order to give read- ers an idea of the types of questions typically asked on the exam and how those topics are treated in this book.
xvi Preface
other PoiNts of distiNctioN
The textbook places special emphasis on blending current theory, practice, research, and case studies in such a manner that readers are given a multiple-perspective exposure to the project management process. A number of in-chapter features are designed to enhance student learning, including:
• MS Project Exercises—An additional feature of the text is the inclusion at the end of several chapters of some sample problems or activities that require students to generate MS Project output files. For example, in Chapter 9 on scheduling, students must create an MS Project network diagram. Likewise, other reports can be assigned to help students become mini- mally adept at interacting with this program. It is not the purpose of this text to fully develop these skills but rather to plant the seeds for future application.
• Research in Brief—A unique feature of this text is to include short (usually one-page) text boxes that highlight the results of current research on the topics of interest. Students often find it useful to read about actual studies that highlight the text material and provide additional information that expands their learning. Although not every chapter includes a “Research in Brief” box, most have one and, in some cases, two examples of this feature.
• Project Managers in Practice—An addition to this text is the inclusion of several short profiles of real, practicing project managers from a variety of corporate and project settings. These profiles have been added to give students a sense of the types of real-world challenges project managers routinely face, the wide range of projects they are called to manage, and the satisfac- tions and career opportunities available to students interested in pursuing project manage- ment as a career.
• Internet Exercises—Each chapter contains a set of Internet exercises that require students to search the Web for key information and perform other activities that lead to student learn- ing through outside-of-class, hands-on activities. Internet exercises are a useful supplement, particularly in the area of project management, because so much is available on the World Wide Web relating to projects, including cases, news releases, and Internet-based tools for analyzing project activities.
• MS Project 2013 Tutorials—Appendix B at the end of the text features two in-depth tutorials that instruct students in the rudiments of developing a project schedule, resource leveling, and critical path development. A second tutorial instructs students in methods for updating the project plan, generating output files such as earned value metrics, and tracking ongoing project activities. These tutorials are not intended to substitute for fuller instruction in this valuable software, but they do provide a critical means for initial familiarization with the package.
• Project Execution Plan Template—Appendix C provides a template for developing a fully evolved project execution plan. Instructors using previous versions of this text noted the value in requiring that students be able to create a project plan and requested a more comprehensive template that could be employed. This template addresses the critical elements of project scope, as well as offers a method for putting these details in a logical sequence.
instructor resources At the Instructor Resource Center, www.pearsonhighered.com/irc, instructors can easily register to gain access to a variety of instructor resources available with this text in downloadable format. If assistance is needed, our dedicated technical support team is ready to help with the media supple- ments that accompany this text. Visit http://247.pearsoned.com for answers to frequently asked questions and toll-free user support phone numbers.
The following supplements are available with this text:
• Instructor’s Solutions Manual • Test Bank • TestGen® Computerized Test Bank • PowerPoint Presentation
Preface xvii
ackNoWledgmeNts
In acknowledging the contributions of past and present colleagues to the creation of this text, I must first convey my deepest thanks and appreciation for the 30-year association with my origi- nal mentor, Dr. Dennis Slevin of the University of Pittsburgh’s Katz Graduate School of Business. My collaboration with Denny on numerous projects has been fruitful and extremely gratifying, both professionally and personally. In addition, Dr. David Cleland’s friendship and partnership in several ventures has been a great source of satisfaction through the years. A frequent collaborator who has had a massive influence on my thinking and approach to understanding project manage- ment is Professor Peter W.G. Morris, lately of University College London. Working with him has been a genuine joy and constant source of inspiration. Additional mentors and colleagues who have strongly influenced my thinking include Samuel Mantel, Jr., Rodney Turner, Erik Larson, David Frame, Francis Hartman, Jonas Soderlund, Young Kwak, Rolf Lundin, Lynn Crawford, Graham Winch, Terry Williams, Francis Webster, Terry Cooke-Davies, Hans Thamhain, and Karlos Artto. Each of these individuals has had a profound impact on the manner in which I view, study, and write about project management. Sadly, 2014 saw the passing of three of these outstanding project management scholars—Hans Thamhain, Sam Mantel and Francis Hartman. I hope that my efforts help, in some small part, to keep their vision and contributions alive.
Over the years, I have also been fortunate to develop friendships with some professional project managers whose work I admire enormously. They are genuine examples of the best type of project manager: one who makes it all seem effortless while consistently performing minor miracles. In par- ticular, I wish to thank Mike Brown of Rolls-Royce for his friendship and example. I would also like to thank friends and colleagues from the Project Management Institute, including Lew Gedansky, Harry Stephanou, and Eva Goldman, for their support for and impact on this work.
I am indebted to the reviewers of this text whose numerous suggestions and critiques have been an invaluable aid in shaping its content. Among them, I would like to especially thank the following:
Kwasi Amoako-Gyampah— University of North Carolina, Greensboro Ravi Behara—George Mason University Jeffrey L. Brewer—Purdue University Dennis Cioffi—George Washington University David Clapp—Florida Institute of Technology Bruce DeRuntz—Southern Illinois University at Carbondale Ike Ehie—Kansas State University Michael H. Ensby—Clarkson University Lynn Fish—Canisius College Linda Fried—University of Colorado, Denver Mario Guimaraes—Kennesaw State University Richard Gunther—California State University, Northridge Brian Gurney—Montana State University, Billings Gary Hackbarth—Iowa State University Mamoon M. Hammad—George Washington University Scott Robert Homan—Purdue University John Hoxmeier—Colorado State University Alex Hutchins—ITT Technical Institute Richard Jensen—Hofstra University Robert Key—University of Phoenix Homayoun Khamooshi—George Washington University Dennis Krumwiede—Idaho State University George Mechling—Western Carolina University Julia Miyaoka—San Francisco State University
xviii Preface
LaWanda Morant—ITT Technical Institute Robert Morris—Florida State College at Jacksonville James Muller—Cleveland State University Kenneth E. Murphy—Willamette University John Nazemetz—Oklahoma State University Patrick Penfield—Syracuse University Ronald Price—ITT Techincal Institute Ronny Richardson—Southern Polytechnic State University John Sherlock—Iona College Gregory Shreve—Kent State University Randall G. Sleeth—Virginia Commonwealth University Kimberlee Snyder—Winona State University Jeff Trailer—California State University, Chico Leo Trudel—University of Maine Oya Tukel—Cleveland State University Darien Unger—Howard University Amy Valente—Cayuga Community College Stephen Whitehead—Hilbert College
I would also like to thank my colleagues in the Samuel Black School of Business at Penn State, the Behrend College. Additionally, my thanks goes to Dana Johnson of Michigan Technological University for preparing the PowerPoints for this edition, and Geoff Willis of University of Central Oklahoma for preparing the Test Bank. Extra-special thanks go to Kerri Tomasso for her help in preparing the final manuscript and for her integral role in permissions research and acquisitions. I am espe- cially indebted to Khurrum Bhutta, who accuracy checked this edition. I am very grateful for his time and effort, and any errors that may remain are entirely my own.
In developing the cases for this edition of the textbook, I was truly fortunate to develop wonderful professional relationships with a number of individuals. Andrea Finger and Kathleen Prihoda of Disney were wonderfully helpful and made time in their busy schedules to assist me in developing the Expedition Everest case for this text. Stephanie Smith, Mohammed Al-Sadiq, Bill Mowery, Mike Brown, Julia Sweet, and Kevin O’Donnell provided me with invaluable information on their job responsibilities and what it takes to be a successful project manager.
Finally, I wish to extend my sincere thanks to the people at Pearson for their support for the text during its development, including Dan Tylman, editor, and Claudia Fernandes, program manager. I also would like to thank the Pearson editorial, production, and marketing staffs.
feedBack
The textbook team and I would appreciate hearing from you. Let us know what you think about this textbook by writing to college.marketing@pearson.com. Please include “Feedback about Pinto” in the subject line.
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Finally, it is important to reflect on an additional salient issue as you begin your study of project management: Most of you will be running a project long before you are given wider management responsibilities in your organizations. Successful project managers are the lifeblood of organizations and bear the imprint of the fast track. I wish you great success!
Jeffrey K. Pinto, Ph.D. Andrew Morrow and Elizabeth Lee Black Chair
Management of Technology Samuel Black School of Business Penn State, the Behrend College
jkp4@psu.edu
1
1 ■ ■ ■
Introduction Why Project Management?
Chapter Outline Project Profile
Development Projects in Lagos, Nigeria introduction 1.1 What is a Project?
General Project Characteristics 1.2 Why are Projects imPortant?
Project Profile “Throwing Good Money after Bad”:
The BBC’s Digital Media Initiative 1.3 Project life cycles Project managers in Practice
Stephanie Smith, Westinghouse Electric Company
1.4 determinants of Project success Project Management Research in Brief Assessing Information Technology (IT) Project
Success
1.5 develoPing Project management maturity
1.6 Project elements and text organization
Summary Key Terms Discussion Questions Case Study 1.1 MegaTech, Inc. Case Study 1.2 The IT Department at Hamelin
Hospital Case Study 1.3 Disney’s Expedition Everest Case Study 1.4 Rescue of Chilean Miners Internet Exercises PMP Certification Sample Questions Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand why project management is becoming such a powerful and popular practice in business.
2. Recognize the basic properties of projects, including their definition. 3. Understand why effective project management is such a challenge. 4. Differentiate between project management practices and more traditional, process-oriented
business functions. 5. Recognize the key motivators that are pushing companies to adopt project management
practices. 6. Understand and explain the project life cycle, its stages, and the activities that typically occur
at each stage in the project. 7. Understand the concept of project “success,” including various definitions of success, as well
as the alternative models of success.
2 Chapter 1 • Introduction
8. Understand the purpose of project management maturity models and the process of bench- marking in organizations.
9. Identify the relevant maturity stages that organizations go through to become proficient in their use of project management techniques.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Definition of a Project (PMBoK sec. 1.2) 2. Definition of Project Management (PMBoK sec. 1.3) 3. Relationship to Other Management Disciplines (PMBoK sec. 1.4) 4. Project Phases and the Project Life Cycle (PMBoK sec. 2.1)
The world acquires value only through its extremes and endures only through moderation; extremists make the world great, the moderates give it stability.1
Project Profile
Development Projects in lagos, Nigeria
Lagos is the capital of Nigeria and home to an estimated 15–20 million people, making its population larger than London or Beijing. As the largest and fastest-growing city in sub-Saharan Africa (estimates are that 600,000 people are added to Lagos’ population each year), Lagos is in desperate need of developing and maintaining infrastructure to support its population, while supporting its claim as a high-technology hub on the African continent. Considering that about 85% of the world’s population resides in the developing world and transitioning economies, and nearly two-thirds of that population is below the age of 35, the need for infrastructure to support critical human needs is im- mense. About 70% of the city’s population is believed to live in slums, while a 2006 United Nations report estimated that only 10% of households in the Lagos Metropolitan area were directly connected to a municipal water supply. In spite of these problems, Nigeria is Africa’s biggest economy, driven by economic growth in Lagos, home to film and fashion industries, financial markets, and consumer goods manufacturers.
The list of critical items on the list for urban improvement is large. For example, for a city of more than 15 million, electricity is scarcely to be found. Lagos power stations only generate a mere 2,000 megawatts of electricity—less than half of that available for a single city block in midtown Manhattan! “We have about two hours, maybe, of public power a day,” says Kola Karim, CEO of Nigeria’s Shoreline Energy International. “It’s unbearable.” Everywhere in the city people are using gasoline or diesel generators to supply power when the inevitable rolling blackouts resume.
Additionally, Lagos is critically short on housing. To overcome this shortage people of Lagos resort to living in shanty towns, one such shanty town is Makoko. Makoko is situated on the mainland’s Lagos lagoon. Home to several hundred thousand inhabitants, Makoko lacks access to basic services, including clean drinking water, electricity, and waste disposal, and is prone to severe environmental and health hazards. Consisting of rickety dwellings on stilts perched over the foul-smelling lagoon, Makoko is one of the many chaotic human settlements that have sprouted in Lagos in recent years. As these cities spread out and move too close to major bridges or electrical towers, the govern- ment periodically sends in troops to demolish portions of the floating village.
How did the city get to this point? A big reason was a lack of forethought and development planning. In metro- politan Lagos there are 20,000 people per square kilometer with thousands more arriving each day. Given the physical constraints of the city, originally built on a narrow strip of land and bordering the ocean, there is just not enough space to absorb the new inhabitants. Urban planning, as we know it today, simply did not exist and the city swelled organi- cally, without forethought or a sense of direction. Thus, Lagos has no urban transportation system, few functioning traffic lights, and a crumbling and outdated road system.
The problems do not stop there. Land prices in Lagos are extremely high, due to lack of space for commercial development. However, because of the unreliable electricity supply that makes elevator use questionable, there are few high-rise apartments or office buildings in the city. Banks have been reluctant to invest in real estate trans- actions because of past failures and general economic instability. Faced with the need to drastically change the direction of the city, Babatunde Fashola, Lagos’ visionary governor who took power in 2010, has launched a series
Project Profile 3
of urban development projects to address a variety of the city’s needs. Fashola has announced $50 billion in new infrastructure projects for Lagos, to be developed over the next 10 years. These new project initiatives include the following:
lagos Metro Blue line
The blue line is a major cosmopolitan light-rail transport project to connect districts in Nigeria’s largest city. Designed to ease congestion and speed up journey times for the city’s inhabitants, the Blue Line will run between Marina and Okokomaiko, stopping at 13 stations, and is part of the Lagos Rail Mass Transit program implemented by the govern- ment. Originally proposed in 2008, funding issues have pushed the launch of the Blue Line back to at least 2015. The Line is set to cost $1.2 billion and will be funded by the Lagos State Government.
eko Atlantic
Eko Atlantic is an ambitious land reclamation project, a pioneering residential and business development located on Victoria Island, along its upmarket Bar Beach coastline. The project is being built on three and a half square miles of land reclaimed from the Atlantic Ocean and is expected to provide accommodation for 250,000 people and employ- ment opportunities for a further 150,000. The complex will function as a city-within-a-city, including recreational facilities, business and shopping districts, and modern conveniences.
Bus rapid-transit System
To ease the crush of public transportation, the Bus Rapid Transport (BRT) system was introduced 10 years ago to streamline and modernize the motley collection of buses that had transported residents around the city. Lagos has long suffered from an unregulated transportation system in which a variety of different “buses,” ranging from bat- tered minibuses to old, yellow-painted school buses, competed for customers. Fares were also unregulated, leaving
Figure 1.1 traffic congestion in lagos, Nigeria
Source: Femi Ipaye/Xinhua Press/Corbis
(continued)
4 Chapter 1 • Introduction
introduction
Projects are one of the principal means by which we change our world. Whether the goal is to split the atom, tunnel under the English Channel, introduce Windows 9, or plan the next Summer Olympic Games in Rio de Janeiro, the means through which to achieve these challenges remains the same: project management. Project management has become one of the most popular tools for organizations, both public and private, to improve internal operations, respond rapidly to exter- nal opportunities, achieve technological breakthroughs, streamline new product development, and more robustly manage the challenges arising from the business environment. Consider what Tom Peters, best-selling author and management consultant, has to say about project management and its place in business: “Projects, rather than repetitive tasks, are now the basis for most value- added in business.”3 Project management has become a critical component of successful business operations in worldwide organizations.
One of the key features of modern business is the nature of the opportunities and threats posed by external events. As never before, companies face international competition and the need to pursue commercial opportunities rapidly. They must modify and introduce products constantly, respond to customers as fast as possible, and maintain competitive cost and operating levels. Does performing all these tasks seem impossible? At one time, it was. Conventional wisdom held that a company could compete using a low-cost strategy or as a product innovator or with a focus on customer service. In short, we had to pick our competitive niches and concede others their claim to market share. In the past 20 years, however, everything turned upside down. Companies such as General Electric, Apple, Ericksson, Boeing, and Oracle became increasingly effective at realiz- ing all of these goals rather than settling for just one. These companies seemed to be successful in every aspect of the competitive model: They were fast to market and efficient, cost-conscious and customer-focused. How were they performing the impossible?
Obviously, there is no one answer to this complex question. There is no doubt, however, that these companies shared at least one characteristic: They had developed and committed themselves to project management as a competitive tool. Old middle managers, reported Fortune magazine,
are dinosaurs, [and] a new class of manager mammal is evolving to fill the niche they once ruled: project managers. Unlike his biological counterpart, the project manager is more agile and adaptable than the beast he’s displacing, more likely to live by his wits than throwing his weight around.4
Effective project managers will remain an indispensable commodity for successful organiza- tions in the coming years. More and more companies are coming to this conclusion and adopting
drivers free to charge whatever fares they chose. “They might charge $1 in the morning for one trip one way and by afternoon they can go to $3,” says Dayo Mobereola, managing director of the Lagos Metropolitan Area Transport Authority, noting that commuters spend on average 40% of their income on transportation. Before the project was announced, the city had projected that it would transport 60,000 passengers daily, but now it transports over 200,000 passengers daily. The BRT system has reduced waiting times at bus stops, the travel time across the city, all at a reduced rate when compared to the old system.
Schools, Bridges, and Power Plants
Part of the aggressive infrastructure modernization includes improving traffic by building the first suspension bridge in West Africa, as well as adding a number of new schools around the city. Two new power plants are also slated to be constructed, bringing a more dependable source of power to the city, including powering street lights to ease crime and other problems. The city has even launched a fleet of brand new garbage trucks to deal with the 10,000 tons of waste generated every day.
Lagos’ modernization efforts in recent years have come not a moment too soon in support of its citizens. As Professor Falade observed, these efforts to modernize the city’s facilities are a breath of fresh air. “The difference is clear, the evidence is the improved landscape of Lagos in the urban regeneration project.”2
1.1 What Is a Project? 5
project management as a way of life. Indeed, companies in such diverse industries as construction, heavy manufacturing, insurance, health care, finance, public utilities, and software are becoming project savvy and expecting their employees to do the same.
1.1 What is a Project?
Although there are a number of general definitions of the term project, we must recognize at the outset that projects are distinct from other organizational processes. As a rule, a process refers to ongoing, day-to-day activities in which an organization engages while producing goods or services. Processes use existing systems, properties, and capabilities in a continuous, fairly repetitive manner.5 Projects, on the other hand, take place outside the normal, process-oriented world of the firm. Certainly, in some organizations, such as construction, day-to-day processes center on the creation and development of projects. Nevertheless, for the majority of organizations, project management activities remain unique and separate from the manner in which more routine, process-driven work is performed. Project work is continuously evolving, establishes its own work rules, and is the antith- esis of repetition in the workplace. As a result, it represents an exciting alternative to business as usual for many companies. The challenges are great, but so are the rewards of success.
First, we need a clear understanding of the properties that make projects and project manage- ment so unique. Consider the following definitions of projects:
A project is a unique venture with a beginning and end, conducted by people to meet estab- lished goals within parameters of cost, schedule, and quality.6
Projects [are] goal-oriented, involve the coordinated undertaking of interrelated activities, are of finite duration, and are all, to a degree, unique.7
A project can be considered to be any series of activities and tasks that: • Have a specific objective to be completed within certain specifications • Have defined start and end dates • Have funding limits (if applicable) • Consume human and nonhuman resources (i.e., money, people, equipment) • Are multifunctional (i.e., cut across several functional lines)8
[A project is] [o]rganized work toward a predefined goal or objective that requires resources and effort, a unique (and therefore risky) venture having a budget and schedule.9
Probably the simplest definition is found in the Project Management Body of Knowledge (PMBoK) guide of the Project Management Institute (PMI). PMI is the world’s largest professional project management association, with more than 450,000 members worldwide as of 2014. In the PMBoK guide, a project is defined as “a temporary endeavor undertaken to create a unique product, ser- vice, or result” (p. 553).10
Let us examine the various elements of projects, as identified by these set of definitions.
• Projects are complex, one-time processes. A project arises for a specific purpose or to meet a stated goal. It is complex because it typically requires the coordinated inputs of numerous members of the organization. Project members may be from different departments or other organizational units or from one functional area. For example, a project to develop a new software application for a retail company may require only the output of members of the Information Systems group working with the marketing staff. On the other hand, some proj- ects, such as new product introductions, work best with representation from many functions, including marketing, engineering, production, and design. Because a project is intended to fulfill a stated goal, it is temporary. It exists only until its goal has been met, and at that point, it is dissolved.
• Projects are limited by budget, schedule, and resources. Project work requires that members work with limited financial and human resources for a specified time period. They do not run indefinitely. Once the assignment is completed, the project team disbands. Until that point, all its activities are constrained by limitations on budget and personnel availability. Projects are “resource-constrained” activities.
• Projects are developed to resolve a clear goal or set of goals. There is no such thing as a project team with an ongoing, nonspecific purpose. The project’s goals, or deliverables,
6 Chapter 1 • Introduction
define the nature of the project and that of its team. Projects are designed to yield a tangible result, either as a new product or service. Whether the goal is to build a bridge, implement a new accounts receivable system, or win a presidential election, the goal must be specific and the project organized to achieve a stated aim.
• Projects are customer-focused. Whether the project is responding to the needs of an internal organizational unit (e.g., accounting) or intended to exploit a market opportunity external to the organization, the underlying purpose of any project is to satisfy customer needs. In the past, this goal was sometimes overlooked. Projects were considered successful if they attained technical, budgetary, and scheduling goals. More and more, however, companies have real- ized that the primary goal of a project is customer satisfaction. If that goal is neglected, a firm runs the risk of “doing the wrong things well”—pursuing projects that may be done efficiently but that ignore customer needs or fail commercially.
general Project characteristics
Using these definitional elements, we can create a sense of the key attributes that all projects share. These characteristics are not only useful for better understanding projects, but also offer the basis for seeing how project-based work differs from other activities most organizations under- take. Projects represent a special type of undertaking by any organization. Not surprisingly, the challenges in performing them right are sometimes daunting. Nevertheless, given the manner in which business continues to evolve on a worldwide scale, becoming “project savvy” is no longer a luxury: It is rapidly becoming a necessity.
Projects are characterized by the following properties:11
1. Projects are ad hoc endeavors with a clear life cycle. Projects are nontraditional; they are activities that are initiated as needed, operate for a specified time period over a fairly well understood development cycle, and are then disbanded. They are temporary operations.
2. Projects are building blocks in the design and execution of organizational strategies. As we will see in later chapters, projects allow organizations to implement companywide strategies. They are the principal means by which companies operationalize corporate-level objectives. In effect, projects are the vehicles for realizing company goals. For example, Intel’s strat- egy for market penetration with ever newer, smaller, and faster computer chips is realized through its commitment to a steady stream of research and development projects that allows the company to continually explore the technological boundaries of electrical and computer engineering.
3. Projects are responsible for the newest and most improved products, services, and organi- zational processes. Projects are tools for innovation. Because they complement (and often transform) traditional process-oriented activities, many companies rely on projects as vehi- cles for going beyond conventional activities. Projects are the stepping-stones by which we move forward.
4. Projects provide a philosophy and strategy for the management of change. “Change” is an abstract concept until we establish the means by which we can make real alterations in the things we do and produce. Projects allow organizations to go beyond simple statements of intent and to achieve actual innovation. For example, whether it is Chevrolet’s Volt electric car or Apple’s newest iPhone upgrade, successful organizations routinely ask for customer input and feedback to better understand their likes and dislikes. As the vehicle of change, the manner in which a company develops its projects has much to say about its ability to inno- vate and commitment to change.
5. Project management entails crossing functional and organizational boundaries. Projects epitomize internal organizational collaboration by bringing together people from various functions across the company. A project aimed at new product development may require the combined work of engineering, finance, marketing, design, and so forth. Likewise, in the global business environment, many companies have crossed organizational boundaries by forming long-term partnerships with other firms in order to maximize opportunities while emphasizing efficiency and keeping a lid on costs. Projects are among the most common means of promoting collaboration, both across functions and across organizations.
6. The traditional management functions of planning, organizing, motivation, directing, and control apply to project management. Project managers must be technically well versed,
1.1 What Is a Project? 7
proficient at administrative functions, willing and able to assume leadership roles, and, above all, goal-oriented: The project manager is the person most responsible for keeping track of the big picture. The nature of project management responsibilities should never be underestimated because these responsibilities are both diverse and critical to project success.
7. The principal outcomes of a project are the satisfaction of customer requirements within the constraints of technical, cost, and schedule objectives. Projects are defined by their limitations. They have finite budgets, definite schedules, and carefully stated specifica- tions for completion. For example, a term paper assignment in a college class might include details regarding form, length, number of primary and secondary sources to cite, and so forth. Likewise, in the Disney’s Expedition Everest case example at the end of the chapter, the executive leading the change process established clear guidelines regarding performance expectations. All these constraints both limit and narrowly define the focus of the project and the options available to the project team. It is the very task of managing successful project development within such specific constraints that makes the field so challenging.
8. Projects are terminated upon successful completion of performance objectives—or earlier in their life cycle, if results no longer promise an operational or strategic advantage. As we have seen, projects differ from conventional processes in that they are defined by limited life cycles. They are initiated, completed, and dissolved. As important alternatives to conven- tional organizational activities, they are sometimes called “temporary organizations.”12
Projects, then, differ from better-known organizational activities, which often involve repetitive processes. The traditional model of most firms views organizational activities as consistently performing a discrete set of activities. For example, a retail-clothing establishment buys, stocks, and sells clothes in a continuous cycle. A steel plant orders raw materials, makes steel, and ships finished products, again in a recurring cycle. The nature of these operations focuses our atten- tion on a “process orientation,” that is, the need to perform work as efficiently as possible in an ongoing manner. When its processes are well understood, the organization always seeks better, more efficient ways of doing the same essential tasks. Projects, because they are discrete activities, violate the idea of repetition. They are temporary activities that operate outside formal channels. They may bring together a disparate collection of team members with different kinds of functional expertise. Projects function under conditions of uncertainty, and usually have the effect of “shaking up” normal corporate activities. Because of their unique characteristics, they do not conform to common standards of operations; they do things differently and often reveal new and better ways of doing things. Table 1.1 offers some other distinctions between project-based work and the more traditional, process-based activities. Note a recurring theme: Projects operate in radical ways that consistently violate the standard, process-based view of organizations.
Consider Apple’s development of the iPod, a portable MP3 player that can be integrated with Apple’s popular iTunes site to record and play music downloads. Apple, headed by its former chairman, the late Steven Jobs, recognized the potential in the MP3 market, given the enormous popularity (and, some would say, notoriety) of file-sharing and downloading music through
table 1.1 Differences Between Process and Project Management13
Process Project
Repeat process or product New process or product Several objectives One objective Ongoing One shot—limited life People are homogenous More heterogeneous Well-established systems in place to integrate efforts Systems must be created to integrate efforts Greater certainty of performance, cost, schedule Greater uncertainty of performance, cost, schedule Part of line organization Outside of line organization Bastions of established practice Violates established practice Supports status quo Upsets status quo
Source: R. J. Graham. (1992). “A Survival Guide for the Accidental Project Manager,” Proceedings of the Annual Project Management Institute Symposium. Drexel Hill, PA: Project Management Institute, pp. 355–61. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
8 Chapter 1 • Introduction
the Internet. The company hoped to capitalize on the need for a customer-friendly MP3 player, while offering a legitimate alternative to illegal music downloading. Since its introduction in 2003, consumers have bought nearly 400 million iPods and purchased more than 25 billion songs through Apple’s iTunes online store. In fact, Apple’s iTunes division is now the largest U.S. market for music sales, accounting for 29% of all music sold in the United States and 64% of the digital music market.
In an interview, Jobs acknowledged that Apple’s business needed some shaking up, given the steady but unspectacular growth in sales of its flagship Macintosh personal computer, still holding approximately 13% of the overall PC market. The iPod, as a unique venture within Apple, became a billion-dollar business for the company in only its second year of existence. So popular has the iPod become for Apple that the firm created a separate business unit, moving the product and its support staff away from the Mac group. “Needless to say, iPod has become incredibly popular, even among people who aren’t diehard Apple fanatics,” industry analyst Paolo Pescatore told NewsFactor, noting that Apple recently introduced a smaller version of the product with great success. “In short, they have been very successful thus far, and I would guess they are looking at this realignment as a way to ensure that success will continue.”14
A similar set of events are currently unfolding, centered on Apple’s introduction and succes- sive upgrades of its iPad tablet. Among the numerous features offered by the iPad is the ability to download books (including college textbooks) directly from publishers, effectively eliminating the traditional middlemen—bookstores—from the process. So radical are the implications of the iPad that competitors have introduced their own models (such as Samsung’s Galaxy tablet) to capture a share of this market. Meanwhile, large bookstores are hoping to adapt their business models to the new electronic reality of book purchase by offering their own readers (for example, Kindle for Amazon). Some experts are suggesting that within a decade, tablets and other electronic readers will make traditional books obsolete, capturing the majority of the publishing market. These are just some examples of the way that project-driven technological change, such as that at Apple, is reshaping the competitive landscape.
Given the enthusiasm with which project management is being embraced by so many orga- nizations, we should note that the same factors that make project management a unique undertak- ing are also among the main reasons why successful project management is so difficult. The track record of project management is by no means one of uninterrupted success, in part because many companies encounter deep-rooted resistance to the kinds of changes needed to accommodate a “project philosophy.” Indeed, recent research into the success rates for projects offers some grim conclusions:
• A study of more than 300 large companies conducted by the consulting firm Peat Marwick found that software and/or hardware development projects fail at the rate of 65%. Of compa- nies studied, 65% reported projects that went grossly over budget, fell behind schedule, did not perform as expected, or all of the above. Half of the managers responding indicated that these findings were considered “normal.”15
• A study by the META Group found that “more than half of all (information technology) IT projects become runaways—overshooting their budgets and timetables while failing to deliver fully on their goals.”16
• Joe Harley, the Chief Information Officer at the Department for Work and Pensions for the UK government, stated that “only 30%” of technology-based projects and programs are a success—at a time when taxes are funding an annual budget of £14bn (over $22 billion) on public sector IT, equivalent to building 7,000 new primary schools or 75 hospitals a year.17
• The United States Nuclear Security Administration has racked up $16 billion in cost over- runs on 10 major projects that are a combined 38 years behind schedule, the Government Accountability Office reports. For example, at Los Alamos National Laboratory, a seven-year, $213 million upgrade to the security system that protects the lab’s most sensitive nuclear bomb-making facilities does not work. A party familiar with the organization cites a “perva- sive culture of tolerating the intolerable and accepting the unacceptable.”18
• According to the 2004 PriceWaterhouseCoopers Survey of 10,640 projects valued at $7.2 billion, across a broad range of industries, large and small, only 2.5% of global businesses achieved 100% project success, and more than 50% of global business projects failed. The Chaos Summary 2013 survey by The Standish Group reported similar findings: The majority of all projects were
1.2 Why Are Projects Important? 9
either “challenged” (due to late delivery, being over budget, or delivering less than required features) or “failed” and were canceled prior to completion, or the product developed was never used. Researchers have concluded that the average success rate of business-critical application development projects is 39%. Their statistics have remained remarkably steady since 1994.19
• The Special Inspector General for Iraq Reconstruction (SIGIR) reported that more than $8 billion of the $53 billion the Pentagon spent on thousands of Iraqi reconstruction projects was lost due to “fraud, waste, and abuse.” Hundreds were eventually canceled, with 42% of the terminated projects ended because of mismanagement or shoddy construction. As part of their final 2013 report, SIGIR noted: “We found that incomplete and unstandardized databases left us unable to identify the specific use of billions of dollars spent on projects.”20
These findings underscore an important point: Although project management is becoming popular, it is not easy to assimilate into the conventional processes of most firms. For every firm discovering the benefits of projects, many more underestimate the problems involved in becoming “project savvy.”
These studies also point to a core truth about project management: We should not overesti- mate the benefits to be gained from project management while underestimating the commitment required to make a project work. There are no magic bullets or quick fixes in the discipline. Like any other valuable activity, project management requires preparation, knowledge, training, and commitment to basic principles. Organizations wanting to make use of project-based work must recognize, as Table 1.1 demonstrates, that its very strength often causes it to operate in direct con- tradiction to standard, process-oriented business practices.
1.2 Why are Projects imPortant?
There are a number of reasons why projects and project management can be crucial in helping an organization achieve its strategic goals. David Cleland, a noted project management researcher, suggests that many of these reasons arise from the very pressures that organizations find them- selves facing.21
1. Shortened product life cycles. The days when a company could offer a new product and depend on having years of competitive domination are gone. Increasingly, the life cycle of new products is measured in terms of months or even weeks, rather than years. One has only to look at new products in electronics or computer hardware and software to observe this trend. Interestingly, we are seeing similar signs in traditional service-sector firms, which also have recognized the need for agility in offering and upgrading new services at an increas- ingly rapid pace.
2. Narrow product launch windows. Another time-related issue concerns the nature of oppor- tunity. Organizations are aware of the dangers of missing the optimum point at which to launch a new product and must take a proactive view toward the timing of product intro- ductions. For example, while reaping the profits from the successful sale of Product A, smart firms are already plotting the best point at which to launch Product B, either as a product upgrade or a new offering. Because of fierce competition, these optimal launch opportunities are measured in terms of months. Miss your launch window, even by a matter of weeks, and you run the risk of rolling out an also-ran.
3. Increasingly complex and technical products. It has been well-documented that the average automobile today has more computing power than the Apollo 11 space capsule that allowed astronauts to walk on the moon. This illustrates a clear point: the world today is complex. Products are complicated, technically sophisticated, and difficult to produce efficiently. The public’s appetite for “the next big thing” continues unabated and substantially unsatisfied. We want the new models of our consumer goods to be better, bigger (or smaller), faster, and more complex than the old ones. Firms constantly upgrade product and service lines to feed this demand. That causes multiple problems in design and production as we continually seek to push the technical limits. Further, in anticipating future demand, many firms embark on expensive programs of research and development while attempting to discern con- sumer tastes. The effect can be to erroneously create expensive and technically sophisticated
10 Chapter 1 • Introduction
projects that we assume the customer will want. For example, Rauma Corporation of Finland developed a state-of-the-art “loader” for the logging industry. Rauma’s engineers loaded the product with the latest computerized gadgetry and technologies that gave the machine a space-age feel. Unfortunately, the chief customer for the product worked in remote regions of Indonesia, with logistics problems that made servicing and repairing the loaders impracti- cal. Machines that broke down had to be airlifted more than 1,000 miles to service centers. Since the inception of this project, sales of the logging machinery have been disappointing. The project was an expensive failure for Rauma and serves to illustrate an important point: Unless companies find a way to maintain control of the process, an “engineering for engi- neering’s sake” mentality can quickly run out of control.22
4. Global markets. The early twenty-first century has seen the emergence of enormous new markets for almost every type of product and service. Former closed or socialist societies, as well as rapidly developing economies such as Brazil, China, Vietnam, and India, have added huge numbers of consumers and competitors to the global business arena. The increased glo- balization of the economy, coupled with enhanced methods for quickly interacting with cus- tomers and suppliers, has created a new set of challenges for business. These challenges also encompass unique opportunities for those firms that can quickly adjust to this new reality. In the global setting, project management techniques provide companies with the ability to link multiple business partners, and respond quickly to market demand and supplier needs, while remaining agile enough to anticipate and respond to rapid shifts in consumer tastes. Using project management, successful organizations of the future will recognize and learn to rapidly exploit the prospects offered by a global business environment.
5. An economic period marked by low inflation. One of the key indicators of economic health is the fact that inflation has been kept under control. In most of the developed Western econo- mies, low inflation has helped to trigger a long period of economic expansion, while also helping provide the impetus for emerging economies, such as those in India and China, to expand rapidly. Unfortunately, low inflation also limits the ability of businesses to maintain profitability by passing along cost increases. Companies cannot continue to increase profit margins through simply raising prices for their products or services. Successful firms in the future will be those that enhance profits by streamlining internal processes—those that save money by “doing it better” than the competition. As a tool designed to realize goals like inter- nal efficiency, project management is a means by which to bolster profits.
These are just some of the more obvious challenges facing business today. The key point is that the forces giving rise to these challenges are not likely to abate in the near future. In order to meet these challenges, large, successful companies such as General Electric, 3M, Apple, Samsung, Bechtel, and Microsoft have made project management a key aspect of their operating philosophies.
Project Profile
“throwing Good Money after Bad”: the BBc’s Digital Media initiative
The British Broadcasting Corporation (BBC) recently announced the cancelation of a major Information Technology (IT) project intended to update their vast broadcast operations. The project, called the Digital Media Initiative (DMI), was originally budgeted at £81.7 million ($140 million) and was developed to eliminate the outdated filing systems and use of old-fashioned, analog videotape with its expensive archival storage. The BBC is one of the world’s largest and most widely recognized news and media organizations; it is publically funded and under British government oversight. The DMI project was intended to save the organization millions annually by eliminating the cost of expensive and out- dated storage facilities, while moving all media content to a modern, digital format. As an example of a large-scale IT project, the plan for DMI involved media asset management, archive storage and retrieval systems, and media sharing capabilities.
The DMI project was begun in 2008 when the BBC contracted with technology service provider Siemens, with consulting expertise to be provided by Deloitte. Interestingly, the BBC never put the contract out for competitive bid- ding, reasoning that it already had a 10-year support contract with Siemens and trusted Siemens’ judgment on project development. As part of this “hands-off” attitude, executives at the BBC gave Siemens full control of the project, and
1.2 Why Are Projects Important? 11
apparently little communication flowed back and forth between the organizations. The BBC finally grew concerned with the distant relationship that was developing between itself and the contractor when Siemens began missing important delivery milestones and encountering technical difficulties. After one year, the BBC terminated its $65 million contract with Siemens and sued the company for damages, collecting approximately $47 million in a court settlement. Still, losing nearly $20 million in taxpayer money after only one year, with nothing to show for it, did not bode well for the future.
Having been burned by this relationship with an outside contractor, the BBC next tried to move the project “in house,” assigning its own staff and project manager to continue developing the DMI. The project was under the overall control of the BBC’s Chief Technology Officer, John Linwood. It was hoped that the lessons learned from the first-round failure of the project would help improve the technology and delivery of the system throughout the organization. Unfortunately, the project did no better under BBC control. Reports started surfacing as early as 2011 that the project was way behind schedule, was not living up to its promises, and, in fact, had been failing most testing along the way. However, although there are claims that the BBC was well aware of the flaws in the project as early as 2011, the picture it presented to the outside world, including Parliamentary oversight committees, was relentlessly upbeat. The BBC’s Director General, Mark Thompson, appeared before a committee in 2011 and told them DMI was definitely on schedule and was actually working already: “There are many programs that are already being made with DMI and some have gone to air and are going to air,” he told Members of Parliament.
The trouble was, the project was not working well at all. Continual failures with the technology were widely known within the project team and company executives, but reports suggest that concerns were buried under a flood of rosy projections. In fact, a later report on the project by an outside consulting firm suggests that throughout 2012, the deteriorating fortunes of DMI were not accurately reported either within management or, critically, to the BBC Trust. For example, the BBC’s own internal project management office issued a “code red” warning of imminent project failure in February that wasn’t reported to the trust until six months later. The CTO, John Linwood, maintained that the project did work, would lead to a streamlined and more cost-effective method for producing media, and did not waver from that view throughout these years.
This rosy view hid a deeper problem: the technology just was not working well. Different views emerged as to why DMI was not progressing. To the “technologists,” there was nothing wrong with the system; it did deliver work- ing technology, but the project was undermined by would-be users who never bought into the original vision and who continually changed their requirements. They believed that DMI was failing not because it did not work, but as a result of internal politics. On the other side were those who questioned the development of the project because the technology, whether it had been “delivered” or not, never really worked, certainly not at the scale required to make it adopted across the whole organization. Further, it was becoming evident that off-the-shelf technology existed in the marketplace which did some of what DMI promised but which, critically, already worked well. Why, then, was the BBC spending so much time and money trying to create its own system out of thin air?
Figure 1.2 BBc Digital initiative Project
Source: Roberto Herrett/Loop Images/Corbis (continued)
12 Chapter 1 • Introduction
Project management also serves as an excellent training ground for future senior executives in most organizations. One unique aspect of projects is how they blend technical and behavioral chal- lenges. The technical side of project management requires managers to become skilled in project selection, budgeting and resource management, planning and scheduling, and tracking projects. Each of these skills will be discussed in subsequent chapters. At the same time, however, project managers face the equally strong challenge of managing the behavioral, or “people,” side of proj- ects. Projects, being temporary endeavors, require project managers to bring together individuals from across the organization, quickly mold them into an effective team, manage conflict, provide leadership, and engage in negotiation and appropriate political behavior, all in the name of project success. Again, we will address these behavioral challenges in this text. One thing we know is: Project managers who emphasize one challenge and ignore the other, whether they choose to focus on the technical or behavioral side of project management, are not nearly as successful as those who seek to become experts in both. Why is project management such a useful training ground for senior executives? Because it provides the first true test of an individual’s ability to master both the technical and human challenges that characterize effective leaders in business. Project managers, and their projects, create the kind of value that companies need to survive and prosper.
According to a news report, it was not until April 2013 that events demonstrated the ongoing problems with DMI. During BBC coverage of the death and funeral of Margaret Thatcher, news staff worked feverishly to transfer old archived analog videotape to digital format in order to produce footage for background on the life and career of the former Prime Minister. So poorly did the new digital archive system work that it was reported that tapes had to be physically transported around London by taxi and subway system to get to their locations while video transfer work was being carried out by private production companies. All this after nearly four years working to develop DMI!
The failure of the system during Thatcher’s funeral was the final straw. In May 2013 the new Director General of the BBC, Lord Hall, announced the cancellation of the project and that the BBC’s chief technology officer, John Linwood, was to be suspended pending an external investigation into the management of the DMI project. It was later revealed that a senior BBC manager had expressed grave doubts about DMI to BBC Chairman Lord Patten one year before the project was cancelled. He had also claimed that there was a “very significant risk” that the National Audit Office had been misled about the actual progress of DMI in 2011. Other BBC executives had also voiced similar concerns for about two years before DMI was abandoned. The final cost of the project to the BBC and British taxpayers has been estimated at about $160 million. BBC Trust member Anthony Fry remarked that the DMI had been a “complete catastrophe” and said that the project was “probably the most serious, embarrassing thing I have ever seen.”
Members of Parliament, looking into the failure of DMI, also had a number of very pointed criticisms of the project, executive oversight of DMI, and the operations of the BBC in general. Margaret Hodge MP, Chair of the Committee of Public Accounts, summed up the project in her Parliament report:
“The BBC’s Digital Media Initiative was a complete failure. License fee payers paid nearly £100 million ($160 million) for this supposedly essential system but got virtually nothing in return.
The main output from the DMI is an archive catalogue and ordering system that is slower and more cumbersome than the 40-year-old system it was designed to replace. It has only 163 regular users and a running cost of £3 million ($5.1 million) a year, compared to £780,000 ($1.3 million) a year for the old system.
When my Committee examined the DMI’s progress in February 2011, the BBC told us that the DMI was “an abso- lutely essential have to have” and that a lot of the BBC’s future was tied up in the successful delivery of the DMI.
The BBC also told us that it was using the DMI to make many programs and was on track to complete the system in 2011 with no further delays. This turned out not to be the case.
The BBC was far too complacent about the high risks involved in taking it in-house. No single individual had overall responsibility or accountability for delivering the DMI and achieving the benefits, or took ownership of problems when they arose.
Lack of clearly defined responsibility and accountability meant the Corporation failed to respond to warning sig- nals that the program was in trouble.”
Bad planning, poor corporate governance, excessively optimistic projections, and a cloak of secrecy regarding the real status of the Digital Media Initiative project all resulted in a very public black eye for one of the most respected broadcasting organizations in the world. It is likely that the causes of the failure of the DMI project will be debated for years to come, but at a minimum this story should be a cautionary tale for organizations developing sophisticated IT projects.23
1.3 Project Life Cycles 13
1.3 Project liFe cycles
Imagine receiving a term paper assignment in a college class. Our first step would be to develop a sense of the assignment itself—what the professor is looking for, how long the paper should be, the number of references required, stylistic expectations, and so forth. Once we have familiarized our- selves with the assignment, our next step would be to develop a plan for how we intend to proceed with the project in order to complete it by the due date. We make a rough guess about how much time will be needed for the research, writing the first draft, proofreading the paper, and completing the final draft; we use this information to create some tentative milestones for the various compo- nents of the assignment. Next, we begin to execute our plan, doing the library or online research, creating an outline, writing a draft, and so forth. Our goal is to complete the assignment on time, doing the work to our best possible ability. Finally, after turning in the paper, we file or discard our reference materials, return any books to the library, breathe a sigh of relief, and wait for the grade.
This example represents a simplified but useful illustration of a project’s life cycle. In this case, the project consisted of completing the term paper to the standards expected of the instructor in the time allowed. A project life cycle refers to the stages in a project’s development. Life cycles are important because they demonstrate the logic that governs a project. They also help us develop our plans for carrying out the project. They help us decide, for example, when we should devote resources to the project, how we should evaluate its progress, and so forth. Consider the simplified model of the project life cycle shown in Figure 1.3, which divides the life cycle into four distinct phases: conceptualization, planning, execution, and termination.
• Conceptualization refers to the development of the initial goal and technical specifications for a project. The scope of the work is determined, necessary resources (people, money, physical plant) identified, and important organizational contributors or stakeholders signed on.
• Planning is the stage in which all detailed specifications, schematics, schedules, and other plans are developed. The individual pieces of the project, often called work packages, are bro- ken down, individual assignments made, and the process for completion clearly delineated. For example, in planning our approach to complete the term paper, we determine all the necessary steps (research, drafts, editing, etc.) in the process.
• During execution, the actual “work” of the project is performed, the system developed, or the product created and fabricated. It is during the execution phase that the bulk of project team labor is performed. As Figure 1.3 shows, project costs (in man hours) ramp up rapidly during this stage.
• Termination occurs when the completed project is transferred to the customer, its resources reassigned, and the project formally closed out. As specific subactivities are completed, the project shrinks in scope and costs decline rapidly.
These stages are the waypoints at which the project team can evaluate both its performance and the project’s overall status. Remember, however, that the life cycle is relevant only after the proj- ect has actually begun. The life cycle is signaled by the actual kickoff of project development,
Conceptualization Planning Execution Termination
Man-hours of work
Figure 1.3 Project life cycle Stages
14 Chapter 1 • Introduction
the development of plans and schedules, the performance of necessary work, and the comple- tion of the project and reassignment of personnel. When we evaluate projects in terms of this life cycle model, we are given some clues regarding their subsequent resource requirements; that is, we begin to ask whether we have sufficient personnel, materials, and equipment to support the project. For example, when beginning to work on our term paper project, we may discover that it is necessary to purchase a PC or hire someone to help with researching the topic. Thus, as we plan the project’s life cycle, we acquire important information regarding the resources that we will need. The life cycle model, then, serves the twofold function of project timing (schedule) and proj- ect requirements (resources), allowing team members to better focus on what and when resources are needed.
The project life cycle is also a useful means of visualizing the activities required and chal- lenges to be faced during the life of a project. Figure 1.4 indicates some of these characteristics as they evolve during the course of completing a project.24 As you can see, five components of a proj- ect may change over the course of its life cycle:
• Client interest: The level of enthusiasm or concern expressed by the project’s intended cus- tomer. clients can be either internal to the organization or external.
• Project stake: The amount of corporate investment in the project. The longer the life of the project, the greater the investment.
• Resources: The commitment of financial, human, and technical resources over the life of the project.
• Creativity: The degree of innovation required by the project, especially during certain development phases.
• Uncertainty: The degree of risk associated with the project. Riskiness here reflects the number of unknowns, including technical challenges that the project is likely to face. Uncertainty is highest at the beginning because many challenges have yet to be identified, let alone addressed.
Each of these factors has its own dynamic. Client interest, for example, follows a “U-shaped” curve, reflecting initial enthusiasm, lower levels of interest during development phases, and renewed interest as the project nears completion. Project stake increases dramatically as the proj- ect moves forward because an increasing commitment of resources is needed to support ongoing activities. Creativity, often viewed as innovative thought or applying a unique perspective, is high at the beginning of a project, as the team and the project’s client begin developing a shared vision of the project. As the project moves forward and uncertainty remains high, creativity also contin- ues to be an important feature. In fact, it is not until the project is well into its execution phase, with defined goals, that creativity becomes less important. To return to our example of the term
Execution Termination
Uncertainty
Creativity
Resources
Project Stake
Client Interest
Time
Intensity Level
Planning Concep- tualization
Figure 1.4 Project life cycles and their effects
Source: Victor Sohmen. (2002, July). “Project Termination: Why the Delay?” Paper presented at PMI Research Conference, Seattle, WA. Project Management Institute, Sohmen, Victor. “Project termination: Why the delay?” PMI Research Conference. Proceedings, p. 467–475. Paper presented at PMI Research Conference. Project Management Institute, Inc (2002). Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
1.3 Project Life Cycles 15
paper project, in many cases, the “creativity” needed to visualize a unique or valuable approach to developing the project is needed early, as we identify our goals and plan the process of achiev- ing them. Once identified, the execution phase, or writing the term paper, places less emphasis on creativity per se and more on the concrete steps needed to complete the project assignment.
The information simplified in Figure 1.4 is useful for developing a sense of the competing issues and challenges that a project team is likely to face over the life cycle of a project. Over time, while certain characteristics (creativity, resources, and uncertainty) begin to decrease, other ele- ments (client interest and project stake) gain in importance. Balancing the requirements of these elements across the project life cycle is just one of the many demands placed on a project team.
Figure 1.5 Stephanie Smith—Westinghouse electric
Source: Jeffrey Pinto/Pearson Education, Inc.
Box 1.1
Project Managers in Practice
Stephanie Smith, Westinghouse Electric Company
Stephanie Smith is a project manager in the nuclear industry, working for Westinghouse Electric Company while living in Phoenix, Arizona. She earned her undergraduate degree in Biological Sciences from the University of Pittsburgh and subsequently a master’s degree in Teaching. After teaching Biology and Environmental Sciences for four years, Stephanie decided on a career change and was hired as a Software Librarian at Westinghouse. Her job was to manage software created by multiple teams of engineers for use in nuclear power plants while also developing programmatic documentation such as program plans and program quality plans, document creation plans, and a program for technical editing of engineering documentation. After about a year of program-level support, she gained further experience working on large projects in nuclear protection and safety monitoring where, in addition to her other duties, she interacted with the members of the Nuclear Regulatory Commission.
As a project manager in the nuclear industry, the majority of the projects Stephanie has worked on are intended to perform first-of-a-kind engineering to develop products for use in nuclear power plants. This re- quires a strong technical skill set. However, Stephanie is quick to note that having the technical abilities alone does not prepare you for project management nor will it allow you to do your job to the best of your abilities. “Aside from the technical nature of this work, the majority of my effort is spent utilizing project management skills to develop and implement projects according to customer, internal quality, and regulatory requirements.” Communication skills are critical, Stephanie argues, as “I regularly interact with my project team, upper man- agement, and the customer to track project progress in terms of schedule, budget, and quality.”
Stephanie is responsible for ensuring that technical problems are resolved as efficiently as possible, which is one of her greatest challenges, given the industry and the need to thoroughly think through problems,
(continued)
16 Chapter 1 • Introduction
1.4 determinants oF Project success
Definitions of successful projects can be surprisingly elusive.25 How do we know when a project is successful? When it is profitable? If it comes in on budget? On time? When the developed product works or sells? When we achieve our long-term payback goals? Generally speaking, any definition of project success must take into consideration the elements that define the very nature of a project: that is, time (schedule adherence), budget, functionality/quality, and customer satisfaction. At one time, managers normally applied three criteria of project success:
• Time. Projects are constrained by a specified time frame during which they must be com- pleted. They are not supposed to continue indefinitely. Thus the first constraint that governs project management involves the basic requirement: the project should come in on or before its established schedule.
• Budget. A second key constraint for all projects is a limited budget. Projects must meet bud- geted allowances in order to use resources as efficiently as possible. Companies do not write blank checks and hope for the best. Thus the second limit on a project raises the question: Was the project completed within budget guidelines?
• Performance. All projects are developed in order to adhere to some initially determined technical specifications. We know before we begin what the project is supposed to do or how the final product is supposed to operate. Measuring performance, then, means determining whether the finished product operates according to specifications. The project’s clients natu- rally expect that the project being developed on their behalf will work as expected. Applying this third criterion is often referred to as conducting a “quality” check.
This so-called triple constraint was once the standard by which project performance was routinely assessed. Today, a fourth criterion has been added to these three (see Figure 1.6):
• Client acceptance. The principle of client acceptance argues that projects are developed with customers, or clients, in mind, and their purpose is to satisfy customers’ needs. If cli- ent acceptance is a key variable, then we must also ask whether the completed project is
effectively manage risks, and make prudent decisions regarding the safety of the product, all with an eye to- ward satisfying customers and regulatory agencies. “Risks must be effectively managed, particularly in the nuclear industry, for cost and safety reasons; therefore, I am always conscious that decisions we make have to be within carefully laid-out standards of safety.” She is also responsible for contract management within her projects. This entails Stephanie working with customers and upper management to further define vague language in the contract so that work can be completed according to expectations. These meetings are also critical for project scope definition and control, skills project managers use on a daily basis.
“Without a strong foundation in project management fundamentals, I simply could not do my job,” Stephanie argues. “My daily work is centered on the ability to effectively implement both the hard and soft skills of project management (i.e., the technical and people-oriented behaviors). Strong communication and leadership skills are very important in my daily work. Not a day goes by that I am not receiving and transmitting information among upper management, my team, and the customer. My work is dynamic, and regardless of how much planning is done, unanticipated events come up, which is where the need for flexibility comes in. The resolution of these problems requires significant communication skills and patience.”
The greatest opportunity Stephanie sees in her work is supporting the development of clean energy worldwide. The nuclear industry has shed its old images and emerged in the current era as one of the cleanest and safest forms of energy. Nuclear power and project management are fast-growing and rapid- paced fields, and they require people interested in adapting to the unique challenges they offer. The work is demanding but, ultimately, highly rewarding. “In supporting a global effort for clean energy, I have the opportunity to work with very bright and energetic people, and I truly do learn something new every day. I encourage the novice or undergraduate to identify your greatest strengths, and try to develop a vision of how to apply those strengths to achieve the lifestyle you want. Do you see yourself in an office setting? Do you see yourself working in the field? One of the real advantages of project management careers is that they offer a level of flexibility and freedom that you rarely find in other office settings. Project management is challenging but the rewards can be impressive—both in terms of money and the satisfaction of seeing the results of your efforts.”
1.4 Determinants of Project Success 17
acceptable to the customer for whom it was intended. Companies that evaluate project suc- cess strictly according to the original “triple constraint” may fail to apply the most important test of all: the client’s satisfaction with the completed project.
We can also think of the criteria for project success in terms of “internal” versus “external” conditions. When project management was practiced primarily by construction and other heavy industries, its chief value was in maintaining internal organizational control over expenditures of money and time. The traditional triple-constraint model made perfect sense. It focused internally on efficiency and productivity measures. It provided a quantifiable measure of personnel evalua- tion, and it allowed accountants to control expenses.
More recently, however, the traditional triple-constraint model has come under increasing criticism as a measure of project success. The final product, for example, could be a failure, but if it has been delivered in time and on budget and satisfies its original specifications (however flawed), the project itself could still be declared a success. Adding the external criterion of client acceptance corrects such obvious shortcomings in the assessment process. First, it refocuses cor- porate attention outside the organization, toward the customer, who will probably be dissatisfied with a failed or flawed final product. Likewise, it recognizes that the final arbiter of project success is not the firm’s accountants, but rather the marketplace. A project is successful only to the extent that it benefits the client who commissioned it. Finally, the criterion of client acceptance requires project managers and teams to create an atmosphere of openness and communication throughout the development of the project.
Consider one example. In his book, What Customers Really Want, author Scott McKain relates how a coach bus company that transports music stars (i.e., clients either lease or purchase the com- pany’s buses) was originally planning to spend a great deal on a project to improve the interior of its vehicles because they believed that with these upgrades, customers would be willing to pay more to lease their buses. However, prior to starting a full-blown overhaul of their fleet, execu- tives decided to ask past customers what they thought about this plan. Surprisingly, the company found that while its customers did want nice interiors, the single most important factor in selecting a coach company was the bus driver (i.e., a “nice guy,” someone who could get the music stars to their destination safely, who would also serve as a good ambassador for the band with fans). Based on this information, the company dropped their original project and instead initiated a driver education program to teach their drivers how to communicate more effectively with customers and how to retain and grow customer goodwill. The company also started compensating drivers according to how well they served the customer and how well they cultivated long-term relation- ships with them. Once the company did that, it moved from fourth in the marketplace to first, and grew from 28 to 56 coaches.26
An additional approach to project assessment argues that another factor must always be taken into consideration: the promise that the delivered product can generate future opportunities, whether commercial or technical, for the organization.27 In other words, it is not enough to assess
Success
Client Acceptance
Budget
Time Performance
Figure 1.6 the New Quadruple constraint
18 Chapter 1 • Introduction
a project according to its immediate success. We must also evaluate it in terms of its commercial success as well as its potential for generating new business and new opportunities. Figure 1.7 illustrates this scheme, which proposes four relevant dimensions of success:
• Project efficiency: Meeting budget and schedule expectations. • Impact on customer: Meeting technical specifications, addressing customer needs, and cre-
ating a project that satisfies the client’s needs. • Business success: Determining whether the project achieved significant commercial success. • Preparing for the future: Determining whether the project opened new markets or new
product lines or helped to develop new technology.
This approach challenges the conventional triple-constraint principle for assessing project success. Corporations expect projects not only to be run efficiently (at the least) but also to be developed to meet customer needs, achieve commercial success, and serve as conduits to new business opportunities. Even in the case of a purely internal project (e.g., updating the software for a firm’s order-entry system), project teams need to focus both on customer needs and an assess- ment of potential commercial or technical opportunities arising from their efforts.
A final model, offered recently, also argues against the triple-constraint model as a measure of project success. According to Atkinson,29 all groups that are affected by a project (stakeholders) should have a hand in assessing its success. The context and type of a project may also be relevant in specifying the criteria that will most clearly define its success or failure. Table 1.2 shows the Atkinson
Importance
Project Completion
1 Project
Efficiency
2 Impact on the
Customer
3 Business Success
4 Preparing for
the Future
Time
Figure 1.7 four Dimensions of Project Success importance
Source: A. J. Shenhar, O. Levy, and D. Dvir. (1997). “Mapping the Dimensions of Project Success,” Project Management Journal, 28(2): 12. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
table 1.2 Understanding Success criteria
iron triangle information System Benefits (organization) Benefits (Stakeholders)
Cost Maintainability Improved efficiency Satisfied users
Quality Reliability Improved effectiveness Social and environmental impact
Time Validity Increased profits Personal development
Information quality Strategic goals Professional learning, contractors’ profits
Use Organization learning Capital suppliers, content
Reduced waste Project team, economic impact to surrounding community
1.5 Developing Project Management Maturity 19
Box 1.2
Project Management research in Brief
Assessing Information Technology (IT) Project Success
As noted earlier in this chapter, IT projects have a notoriously checkered history when it comes to successful implementation. Part of the problem has been an inability to define the characteristics of a successful IT proj- ect in concrete terms. The criteria for IT project success are often quite vague, and without clear guidelines for project success, it is hardly any wonder that so many of these projects do not live up to predevelopment expectations. In 1992 and again in 2003, two researchers, W. DeLone and E. McLean, analyzed several previ- ous studies of IT projects to identify the key indicators of success. Their findings, synthesized from previous research, suggest that, at the very least, IT projects should be evaluated according to six criteria:
• System quality. The project team supplying the system must be able to assure the client that the implemented system will perform as intended. All systems should satisfy certain criteria: They should, for example, be easy to use, and they should supply quality information.
• Information quality. The information generated by the implemented IT must be the information required by users and be of sufficient quality that it is “actionable”: In other words, generated informa- tion should not require additional efforts to sift or sort the data. System users can perceive quality in the information they generate.
• Use. Once installed, the IT system must be used. Obviously, the reason for any IT system is its useful- ness as a problem-solving, decision-aiding, and networking mechanism. The criterion of “use” assesses the actual utility of a system by determining the degree to which, once implemented, it is used by the customer.
• User satisfaction. Once the IT system is complete, the project team must determine user satisfaction. One of the thorniest issues in assessing IT project success has to do with making an accurate determina- tion of user satisfaction with the system. Yet, because the user is the client and is ultimately the arbiter of whether or not the project was effective, it is vital that we attain some measure of the client’s satis- faction with the system and its output.
• Individual impact. All systems should be easy to use and should supply quality information. But beyond satisfying these needs, is there a specific criterion for determining the usefulness of a system to the client who commissioned it? Is decision making faster or more accurate? Is information more retrievable, more affordable, or more easily assimilated? In short, does the system benefit users in the ways that are most important to those users?
• Organizational impact. Finally, the supplier of the system must be able to determine whether it has a positive impact throughout the client organization. Is there, for example, a collective or synergistic effect on the client corporation? Is there a sense of good feeling, or are there financial or operational metrics that demonstrate the effectiveness or quality of the system?
DeLone and McLean’s work provides an important framework for establishing a sense of IT project suc- cess. Companies that are designing and implementing IT systems must pay early attention to each of these criteria and take necessary steps to ensure that the systems that they deliver satisfy them.28
model, which views the traditional “iron triangle” of cost, quality, and time as merely one set of com- ponents in a comprehensive set of measures. Of course, the means by which a project is to be mea- sured should be decided before the project is undertaken. A corporate axiom, “What gets measured, gets managed,” suggests that when teams understand the standards to which a project is being held, they will place more appropriate emphases on the various aspects of project performance. Consider, for example, an information system setting. If the criteria of success are improved operating effi- ciency and satisfied users, and if quality is clearly identified as a key benefit of the finished product, the team will focus its efforts more strongly on these particular aspects of the project.
1.5 develoPing Project management maturity
With the tremendous increase in project management practices among global organizations, a recent phenomenon has been the rise of project maturity models for project management orga- nizations. Project management maturity models are used to allow organizations to benchmark the best practices of successful project management firms. Project management maturity models recognize that different organizations are currently at different levels of sophistication in their best
20 Chapter 1 • Introduction
practices for managing projects. For example, it would be reasonable to expect an organization such as Boeing (aircraft and defense systems) or Fluor-Daniel (industrial construction) to be much more advanced in how they manage projects, given their lengthy histories of project initiatives, than a company that has only recently developed an emphasis on project-based work.
The purpose of benchmarking is to systematically manage the process improvements of proj- ect delivery by a single organization over a period of time.30 Because there are many diverse dimen- sions of project management practice, it is common for a new organization just introducing project management to its operations to ask, “Where do we start?” That is, which of the multiple project management processes should we investigate, model, and apply to our organization? Maturity mod- els provide the necessary framework to first, analyze and critically evaluate current practices as they pertain to managing projects; second, compare those practices against those of chief competitors or some general industry standard; and third, define a systematic route for improving these practices.
If we accept the fact that the development of better project management practices is an evo- lutionary process, involving not a sudden leap to top performance but rather a systematic commit- ment to continuous improvement, maturity models offer the template for defining and then achiev- ing such progressive improvement.31 As a result, most effective project maturity models chart both a set of standards that are currently accepted as state-of-the-art as well as a process for achieving significant movement toward these benchmarks. Figure 1.8 illustrates one approach to defining current project management practices a firm is using.32 It employs a “spider web” methodology in which a set of significant project management practices have first been identified for organizations within a specific industry. In this example, a firm may identify eight components of project man- agement practice that are key for success, based on an analysis of the firm’s own needs as well as through benchmarking against competing firms in the industry. Note that each of the rings in the diagram represents a critical evaluation of the manner in which the organization matches up with industry standards. Suppose we assigned the following meanings to the different ratings:
ring level Meaning
0 Not defined or poor
1 Defined but substandard
2 Standardized
3 Industry leader or cutting edge
1
2
3
Project Scheduling
Control Practices
Coaching, Auditing, and Evaluating Projects
Portfolio Management
Structural Support for Project Management
Personnel Development for Projects
Networking Between Projects
Project Stakeholder Management
0
Figure 1.8 Spider Web Diagram for Measuring Project Maturity
Source: R. Gareis. (2001). “Competencies in the Project-Oriented Organization,” in D. Slevin, D. Cleland, and J. Pinto, The Frontiers of Project Management Research. Newtown Square, PA: Project Management Institute, pp. 213–24, figure on p. 216. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
1.5 Developing Project Management Maturity 21
Following this example, we may decide that in terms of project team personnel develop- ment or project control systems, our practices are poor relative to other competitors and rate those skills as 0. On the other hand, perhaps our scheduling processes are top-notch, enabling us to rate them as a 3. Figure 1.9 shows an example of the same spider web diagram with our relative skill levels assigned across the eight key elements of project management we have defined. This exercise helps us to form the basis for where we currently are in terms of project management sophistication, a key stage in any maturity model in which we seek to move to a higher level.
Once we have established a sense of our present project management abilities, as well as our shortcomings, the next step in the maturity model process is to begin charting a step-by-step, incre- mental path to our desired goal. Table 1.3 highlights some of the more common project maturity models and the interim levels they have identified en route to the highest degree of organization- wide project expertise. Several of these models were developed by private project management consultancies or professional project organizations.
It is interesting to compare and contrast the four maturity models highlighted in Table 1.3. These examples of maturity models are taken from the most well-known models in the field, including Carnegie Mellon University’s Software Engineering Institute’s (SEI) Capability Maturity Model, Harold Kerzner ’s Maturity Model, ESI International’s Project Framework, and the maturity model developed by the Center for Business Practices.33 Illustrating these dimensions in pyramid form, we can see the progression toward project management maturity (Figure 1.10). Despite some differences in terminology, a clear sense of pattern exists among these models. Typically they start with the assumption that project management practices within a firm are not planned and are not collectively employed; in fact, there is likely no common lan- guage or methods for undertaking project management. As the firm grows in project maturity, it begins to adopt common practices, starts programs to train cadres of project management professionals, establishes procedures and processes for initiating and controlling its projects, and so forth. Finally, by the last stage, not only is the organization “project-savvy,” but it also has progressed beyond simply applying project management to its processes and is now actively exploring ways to continuously improve its project management techniques and procedures. It is during the final stage that the organization can be truly considered “project mature”; it has internalized all necessary project management principles and is actively seeking to move beyond them in innovative ways.
1
2
3
Project Scheduling
Control Practices
Coaching, Auditing, and Evaluating Projects
Portfolio Management
Structural Support for Project Management
Personnel Development for Projects
Networking Between Projects
Project Stakeholder Management
0
Figure 1.9 Spider Web Diagram with embedded organizational evaluation
Source: R. Gareis. (2001). “Competencies in the Project-Oriented Organization,” in D. Slevin, D. Cleland, and J. Pinto, The Frontiers of Project Management Research. Newtown Square, PA: Project Management Institute, pp. 213–24, figure on p. 216. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
t a
b l e 1
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22
1.6 Project Elements and Text Organization 23
Project maturity models have become very useful in recent years precisely because they reflect the growing interest in project management while highlighting one of the recurring prob- lems: the lack of clear direction for companies in adopting, adapting, and improving these pro- cesses for optimal use. The key feature of these models is the important recognition that change typically does not occur abruptly; that is, companies that desire to become skilled in their project management approaches simply cannot progress in immediate steps from a lack of project man- agement understanding to optimal project practices. Instead, the maturity models illustrate that “maturity” is an ongoing process, based on continuous improvement through identifiable incre- mental steps. Once we have an accurate picture of where we fit into the maturity process, we can begin to determine a reasonable course of action to progress to our desired level. In this manner, any organization, no matter how initially unskilled in project management, can begin to chart a course toward the type of project organization it hopes to become.
1.6 Project elements and text organization
This text was written to provide a holistic, managerial-based approach to project management. The text is holistic in that it weaves together the wide variety of duties, responsibilities, and knowledge that successful project managers must acquire. Project management is a comprehensive and excit- ing undertaking. It requires us to understand aspects of management science in building sched- ules, assigning resources, monitoring and controlling our projects, and so forth. At the same time, successful project managers also must integrate fundamental issues of behavioral science, involv- ing knowledge of human beings, leadership practices, motivation and team development, conflict resolution, and negotiation skills. Truly, a “science-heavy” approach to this subject will make us no more successful in our future project management responsibilities than will a focus that retains an exclusively “people-based” outlook. Project management is an exciting and challenging blend of the science and art of management.
Figure 1.11 offers a model for the organization of this text. The figure is a Gantt chart, a proj- ect scheduling and control device that we will become more familiar with in Chapter 10. For now, however, we can apply it to the structure of this book by focusing on some of its simpler features. First, note that all chapters in the book are listed down the left-hand column. Across the bottom and running from left to right is a simple time line that illustrates the point at which each of the chapters’ topics will be introduced. For simplicity’s sake, I have divided the X-axis time line into four distinct project phases that roughly follow the project life cycle discussed earlier in this chap- ter: (1) Foundation, (2) Planning, (3) Implementation, and (4) Termination. Notice how some of the topics we will cover are particularly relevant only during certain phases of the project while
Low Maturity
Ad hoc process, no common language, little support
Moderate Maturity
Defined practices, training programs, organizational support
Institutionalized, seeks continuous
improvement
High Maturity
Figure 1.10 Project Management Maturity—A Generic Model
24 Chapter 1 • Introduction
others, such as project leadership, are significant across much of the project’s life cycle. Among the benefits of setting up the text to follow this sequence are that, first, it shows the importance of blending the human-based topics (leadership and team building) directly with the more ana- lytical or scientific elements of project management. We cannot compartmentalize our approach to project management as either exclusively technical or behavioral; the two are opposite sides of the same coin and must be appreciated jointly. Second, the structure provides a simple logic for ordering the chapters and the stage of the project at which we are most likely to concern ourselves with these topics. Some concepts, as illustrated by the figure, are more immediately concerned with project planning while others become critical at later phases in the project. Appreciating the elements of project management and their proper sequencing is an important learning guide. Finally, the figure offers an intuitively appealing method for visually highlighting the structure and flow we will follow across the topics in the text.
The foundation stage helps us with our fundamental understanding of what projects are and how they are typically managed in modern organizations. As part of that understanding, we must necessarily focus on the organizational setting within which projects are created, selected, and devel- oped. Some of the critical issues that can affect the manner in which projects are successfully imple- mented are the contextual issues of a firm’s strategy, structure, and culture. Either these elements are set up to support project-based work or they are not. In the former case, it is far easier to run projects and achieve positive results for the organization. As a result, it is extremely helpful for us to clearly understand the role that organizational setting, or context, plays in project management.
In Chapter 3 we explore the process of project screening and selection. The manner in which a firm selects the projects it chooses to undertake is often critical to its chances of successful devel- opment and commercial profitability. Chapter 4 introduces the challenges of project management from the perspective of the project leader. Project management is an extremely “leader-intensive” undertaking: The project manager is the focal point of the project, often functioning as a miniature CEO. The more project managers understand about project leadership and the skills required by effective project managers, the better companies can begin training project managers within their own ranks.
The second phase is related to the up-front issues of project planning. Once a decision to proceed has been made, the organization must first select a suitable project manager to oversee the development process. Immediately, this project manager is faced with a number of responsibilities, including:
1. Selecting a team—Team building and conflict management are the first challenges that proj- ect managers face.
2. Developing project objectives and a plan for execution—Identifying project requirements and a logical plan to develop the project are crucial.
3. Performing risk management activities—Projects are not developed without a clear sense of the risks involved in their planning and implementation.
4. Cost estimating and budgeting—Because projects are resource-constrained activities, careful budgeting and cost estimation are critical.
Foundation Planning Implementation Termination
Figure 1.11 organization of text
1.6 Project Elements and Text Organization 25
5. Scheduling—The heart of project planning revolves around the process of creating clear, aggressive, yet reasonable schedules that chart the most efficient course to project completion.
6. Managing resources—The final step in project planning is the careful management of project resources, including project team personnel, to most efficiently perform tasks.
Chapter 5, which discusses project scope management, examines the key features in the over- all plan. “Project scope management” is something of an umbrella term under which we consider a number of elements in the overall project planning process. This chapter elaborates the variety of planning techniques and steps for getting a project off on the right foot.
Chapter 6 addresses some of the behavioral challenges project managers face in terms of effective team building and conflict management. This chapter looks at another key component of effective human resource management: the need to create and maintain high-performance teams. Effectively building and nurturing team members—often people from very different back- grounds—is a constant challenge and one that requires serious consideration. Conflict occurs on a number of levels, not just among team members, but between the team and project stakeholders, including top management and customers. This chapter will identify some of the principal causes of conflict and explain various methods for resolving it.
Chapter 7 deals with project risk management. In recent years, this area of project manage- ment has become increasingly important to companies that want to ensure, as far as possible, that project selection choices are appropriate, that all the risks and downside potential have been con- sidered, and that, where appropriate, contingency plans have been developed. Chapter 8 covers budgeting and cost estimation. Because project managers and teams are held to both standards of performance and standards of cost control, it is important to understand the key features of cost estimation and budgeting.
Chapters 9 and 10 focus on scheduling methodologies, which are a key feature of project management. These chapters offer an in-depth analysis of various project-scheduling tools, dis- cuss critical software for project scheduling, and explain some recent breakthroughs in project scheduling. Chapter 11 covers some important recent developments in project scheduling, the agile project planning methodology, and the development and application of critical chain proj- ect scheduling. Chapter 12 considers the challenges of resource allocation. Once various project activities have been identified, we must make sure they work by allocating the resources needed to support them.
The third process in project management, implementation, is most easily understood as the stage in which the actual “work” of the project is being performed. For example, engineers and other technical experts determine the series of tasks necessary to complete the overall project, including their individual task responsibilities, and each of the tasks is actively managed by the manager and team to ensure that there are no significant delays that can cause the project to exceed its schedule. Chapter 13 addresses the project challenges of control and evaluation. During the implementation phase, a considerable amount of ambiguity regarding the status of the project is possible unless specific, practical steps are taken to establish a clear method for tracking and con- trolling the project.
Finally, the processes of project termination reflect the fact that a project is a unique organi- zational endeavor, marked by a specified beginning and ending. The process of closing down a project, whether due to the need to “kill” it because it is no longer viable or through the steps of a planned termination, offers its own set of challenges. A number of procedures have been devel- oped to make this process as smooth and logical as possible. Chapter 14 discusses the elements in project closeout— the phase in which the project is concluded and resources (both monetary and human) are reassigned.
This book was written to help create a new generation of effective project managers. By exploring the various roles of project managers and addressing the challenges and opportunities they constantly face, we will offer a comprehensive and integrative approach to better understand the task of project management—one that explores the full range of strategic, technical, and behav- ioral challenges and duties for project managers.
This text also includes, at the end of relevant chapters, a series of activities designed to help students develop comprehensive project plans. It is absolutely essential that persons complet- ing a course in project management carry away with them practical knowledge about the steps
26 Chapter 1 • Introduction
involved in creating a project, planning its development, and overseeing its work. Future manag- ers need to develop the skills to convert the theories of project management into the successful practice of the craft. With this goal in mind, the text contains a series of exercises designed to help professors and students construct overall project plans. Activities involve the development, from beginning to end, of a project plan, including narrative, risk analysis, work breakdown structure, activity estimation and network diagramming, resource leveling and project budgeting, and so forth. In order to add a sense of realism to the process, later chapters in the book also include a series of hypothetical problems. By the end of the course, students should have created a compre- hensive project document that details the necessary steps in converting project plans into practi- cal accomplishments.
As a template for providing examples, the text employs a hypothetical company called ABCups Inc., which is about to initiate an important project. Chapter-ending activities, including exercises in scheduling, budgeting, risk management, and so forth, will often include examples created from the ABCups project for students to use as a model for their own work. In this way, students will be presented both with a challenge and with an example for generating their own deliverables as they progressively build their project plans.
Several software packages are available for planning and tracking the current status of a project. Some of them (e.g., products by SAP and Oracle) are large, quite complex, and capable of linking project management functions to other critical through-put operations of a company. Other desktop software packages are more readily accessible and easier to interpret for the aver- age novice interested in improving his or her project management skills. This text uses examples throughout from Microsoft’s Project 2013, including screen captures, to illustrate how MSP 2013 can be used for a variety of planning and tracking purposes. Additionally, some simple tutorials are included in the appendices at the end of the text to give readers a feel for how the software works and some of the features it offers. As a method for learning the capabilities of the soft- ware, it’s a start. For those committed to fully learning one of these project management schedul- ing packages, I encourage you to investigate alternative packages and, once you have made your choice, invest in a comprehensive training manual.
An additional feature of this text is the linkage between concepts that are discussed through- out and the Project Management Body of Knowledge (PMBoK), which was developed by the Project Management Institute (PMI). As the world’s leading professional organization for project management and with nearly half a million members, PMI has been in the forefront of efforts to standardize project management practices and codify the necessary skills to be successful in our field. Now in its fifth edition, the PMBoK identifies ten critical “knowledge areas” of project man- agement skills and activities that all practitioners need to master in order to become fully trained in their profession. These knowledge areas, which are shown in Figure 1.12, encompass a broad overview of the component processes for project management. Although it is not my intention to create a text to serve as a primer for taking a professional certification exam, it is important for us to recognize that the skills we develop through reading this work are directly applicable to the professional project management knowledge areas.
Students will find several direct links to the PMBoK in this text. First, the key terms and their definitions are intended to follow the updated, fifth edition PMBoK glossary (included as an appen- dix at the end of the text). Second, chapter introductions will also highlight references to the PMBoK as we address them in turn. We can see how each chapter not only adds to our knowledge of project management but also directly links to elements within the PMBoK. Finally, many end-of-chapter exercises and Internet references will require direct interaction with PMI through its Web site.
As an additional link to the Project Management Institute and the PMBoK, this text will include sample practice questions at the end of relevant chapters to allow students to test their in-depth knowledge of aspects of the PMBoK. Nearly 20 years ago, PMI instituted its Project Management Professional (PMP) certification as a means of awarding those with an expert knowl- edge of project management practice. The PMP certification is the highest professional designation for project management expertise in the world and requires in-depth knowledge in all nine areas of the PMBoK. To date, more than 600,000 project professionals worldwide have attained the PMP certification and the numbers are steadily growing each year. The inclusion of questions at the end of the relevant chapters offers students a way to assess how well they have learned the impor- tant course topics, the nature of PMP certification exam questions, and to point to areas that may require additional study in order to master this material.
Summary 27
This text offers an opportunity for students to begin mastering a new craft—a set of skills that is becoming increasingly valued in contemporary corporations around the world. Project manag- ers represent the new corporate elite: a corps of skilled individuals who routinely make order out of chaos, improving a firm’s bottom line and burnishing their own value in the process. With these goals in mind, let us begin.34
12.1 Plan Procurement Management 12.2 Conduct Procurements 12.3 Control Procurements 12.4 Close Procurements
11.1 Plan Risk Management 11.2 Identify Risks 11.3 Perform Qualitative Risk Analysis 11.4 Perform Quantitative Risk Analysis 11.5 Plan Risk Responses 11.6 Control Risks
10.1 Plan Communications Management 10.2 Manage Communications 10.3 Control Communications
8.1 Plan Quality Management 8.2 Perform Quality Assurance 8.3 Control Quality
7.1 Plan Cost Management 7.2 Estimate Costs 7.3 Determine Budget 7.4 Control Costs
6.1 Plan Schedule Management 6.2 Define Activities 6.3 Sequence Activities 6.4 Estimate Activity Resources 6.5 Estimate Activity Durations 6.6 Develop Schedule 6.7 Control Schedule
Project Management
4.1 Develop Project Charter 4.2 Develop Project Management Plan 4.3 Direct & Manage Project Work 4.4 Monitor & Control Project Work 4.5 Perform Integrated Change Control 4.6 Close Project or Phase
4. Integration Management
5.1 Plan Scope Management 5.2 Collect Requirements 5.3 Define Scope 5.4 Create WBS 5.5 Validate Scope 5.6 Control Scope
5. Scope Management 6. Time Management
9.1 Plan HR Management 9.2 Acquire Project Team 9.3 Develop Project Team 9.4 Manage Project Team
9. Human Resource Management
12. Procurement Management11. Risk Management
13. Stakeholder Management
8. Quality Management
10. Communications Management
7. Cost Management
13.1 Identify Stakeholders 13.2 Plan Stakeholder Management 13.3 Manage Stakeholder Engagement 13.4 Control Stakeholder Engagement
Figure 1.12 overview of the Project Management institute’s PMBoK Knowledge Areas
Source: Project Management Institute. (2013). A Guide to the Project Management Body of Knowledge (PMBoK Guide), 5th ed. Project Management Institute, Inc. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
Summary
1. Understand why project management is becoming such a powerful and popular practice in business. Project management offers organizations a number of practical competitive advantages, including the ability to be both effective in the marketplace and efficient with the use of organizational resources, and the ability to achieve technological break- throughs, to streamline new-product development, and to manage the challenges arising from the busi- ness environment.
2. recognize the basic properties of projects, includ- ing their definition. Projects are defined as
temporary endeavors undertaken to create a unique product or service. Among their key properties are that projects are complex, one-time processes; proj- ects are limited by budget, schedule, and resources; they are developed to resolve a clear goal or set of goals; and they are customer-focused.
3. Understand why effective project management is such a challenge. Projects operate outside of nor- mal organizational processes, typified by the work done by functional organizational units. Because they are unique, they require a different mind- set: one that is temporary and aimed at achieving
28 Chapter 1 • Introduction
a clear goal within a limited time frame. Projects are ad hoc endeavors with a clear life cycle. They are employed as the building blocks in the design and execution of organizational strategies, and they provide a philosophy and a strategy for the man- agement of change. Other reasons why they are a challenge include the fact that project management requires the crossing of functional and organiza- tional boundaries while trying to satisfy the mul- tiple constraints of time, budget, functionality, and customer satisfaction.
4. differentiate between project management prac- tices and more traditional, process-oriented busi- ness functions. Projects involve new process or product ideas, typically with one objective or a lim- ited set of objectives. They are one-shot activities with a defined beginning and end, employing a het- erogeneous group of organizational members as the project team. They operate under circumstances of change and uncertainty, outside of normal organiza- tional channels, and are intended to upset the status quo and violate established practice, if need be, in order to achieve project goals. Process-oriented func- tions adhere more closely to rigid organizational rules, channels of communication, and procedures. The people within the functional departments are homogenous, engaged in ongoing activities, with well-established systems and procedures. They rep- resent bastions of established practice designed to reinforce the organization’s status quo.
5. recognize the key motivators that are pushing companies to adopt project management practices. Among the key motivators in pushing organiza- tions to adopt project management are (1) shortened product life cycles, (2) narrow product launch win- dows, (3) increasingly complex and technical prod- ucts, (4) the emergence of global markets, and (5) an economic period marked by low inflation.
6. Understand and explain the project life cycle, its stages, and the activities that typically occur at each stage in the project. The project life cycle is a mechanism that links time to project activities and refers to the stages in a project’s development. The common stages used to describe the life cycle for a project are (1) conceptualization, (2) planning, (3) execution, and (4) termination. A wide and diverse set of activities occurs during different life cycle stages; for example, during the conceptualization phase, the basic project mission and scope is devel- oped and the key project stakeholders are signed on to support the project’s development. During plan- ning, myriad project plans and schedules are cre- ated to guide the development process. Execution requires that the principal work of the project be performed, and finally, during the termination stage,
the project is completed, the work is finished, and the project is transferred to the customer.
7. Understand the concept of project “success,” including various definitions of success, as well as the alternative models of success. Originally, project success was predicated simply on a triple- constraint model that rewarded projects if they were completed with regard to schedule, budget, and functionality. This model ignored the emphasis that needs to be placed on project clients, however. In more accurate terms, project success involves a “quadruple constraint,” linking the basic project metrics of schedule adherence, budget adherence, project quality (functionality), and customer satis- faction with the finished product. Other models of project success for IT projects employ the measures of (1) system quality, (2) information quality, (3) use, (4) user satisfaction, (5) individual impact, and (6) organizational impact.
8. Understand the purpose of project management maturity models and the process of benchmarking in organizations. Project management maturity models are used to allow organizations to bench- mark the best practices of successful project man- agement firms. Project maturity models recognize that different organizations are at different levels of sophistication in their best practices for manag- ing projects. The purpose of benchmarking is to systematically manage the process improvements of project delivery by a single organization over a period of time. As a firm commits to implement- ing project management practices, maturity models offer a helpful, multistage process for moving for- ward through increasing levels of sophistication of project expertise.
9. identify the relevant maturity stages that organiza- tions go through to become proficient in their use of project management techniques. Although there are a number of project maturity models, sev- eral of the most common share some core features. For example, most take as their starting point the assumption that unsophisticated organizations initi- ate projects in an ad hoc fashion, with little overall shared knowledge or procedures. As the firm moves through intermediate steps, it will begin to initiate processes and project management procedures that diffuse a core set of project management techniques and cultural attitudes throughout the organization. Finally, the last stage in maturity models typically recognizes that by this point the firm has moved beyond simply learning the techniques of project management and is working at continuous improve- ment processes to further refine, improve, and solidify project management philosophies among employees and departments.
Case Study 1.1 29
Key Terms
Benchmarking (p. 20) Client acceptance (p. 16) Clients (p. 14) Budget (p. 16)
Deliverables (p. 5) Performance (p. 16) Process (p. 5) Project (p. 5)
Project life cycle (p. 13) Project management (p. 8) Project management maturity models (p. 19)
Project success (p. 16) Stakeholders (p. 13) Time (p. 16) Triple constraint (p. 16)
Discussion Questions
1.1 What are some of the principal reasons why project manage- ment has become such a popular business tool in recent years?
1.2 What do you see as being the primary challenges to introducing a project management philosophy in most organizations? That is, why is it difficult to shift to a project- based approach in many companies?
1.3 What are the advantages and disadvantages of using proj- ect management?
1.4 What key characteristics do all projects possess? 1.5 Describe the basic elements of a project life cycle. Why is
an understanding of the life cycle relevant for our under- standing of projects?
1.6 Think of a successful project and an unsuccessful project with which you are familiar. What distinguishes the two, both in terms of the process used to develop them and their outcomes?
1.7. Consider the Expedition Everest case at the end of the chapter: What elements in Disney’s approach to
developing its theme rides do you find particularly im- pressive? How can a firm like Disney balance the need for efficiency and smooth development of projects with the desire to be innovative and creative? Based on this case, what principles appear to guide its development process?
1.8 Consider the six criteria for successful IT projects. Why is IT project success often so difficult to assess? Make a case for some factors being more important than others.
1.9 As organizations seek to become better at managing projects, they often engage in benchmarking with other companies in similar industries. Discuss the concept of benchmarking. What are its goals? How does bench- marking work?
1.10 Explain the concept of a project management maturity model. What purpose does it serve?
1.11 Compare and contrast the four project management maturity models shown in Table 1.3. What strengths and weaknesses do you perceive in each of the models?
CaSe STuDy 1.1 MegaTech, Inc.
MegaTech, Inc., designs and manufactures automo- tive components. For years, the company enjoyed a stable marketplace, a small but loyal group of custom- ers, and a relatively predictable environment. Though slowly, annual sales continued to grow until recently hitting $300 million. MegaTech products were popular because they required little major updating or yearly redesign. The stability of its market, coupled with the consistency of its product, allowed MegaTech to fore- cast annual demand accurately, to rely on production runs with long lead times, and to concentrate on inter- nal efficiency.
Then, with the advent of the North American Free Trade Agreement (NAFTA) and other international trade agreements, MegaTech found itself competing with auto parts suppliers headquartered in countries around the world. The company was thrust into an
unfamiliar position: It had to become customer-focused and quicker to market with innovative products. Facing these tremendous commercial challenges, top manage- ment at MegaTech decided to recreate the company as a project-based organization.
The transition, though not smooth, has nonethe- less paid big dividends. Top managers determined, for instance, that product updates had to be much more frequent. Achieving this goal meant yearly redesigns and new technologies, which, in turn, meant making innovative changes in the firm’s operations. In order to make these adjustments, special project teams were formed around each of the company’s prod- uct lines and given a mandate to maintain market competitiveness.
At the same time, however, MegaTech wanted to maintain its internal operating efficiencies. Thus
(continued)
30 Chapter 1 • Introduction
all project teams were given strict cost and schedule guidelines for new product introductions. Finally, the company created a sophisticated research and devel- opment team, which is responsible for locating likely new avenues for technological change 5 to 10 years down the road. Today, MegaTech operates project teams not only for managing current product lines but also for seeking longer-term payoffs through applied research.
MegaTech has found the move to project man- agement challenging. For one thing, employees are still rethinking the ways in which they allocate their time and resources. In addition, the firm’s success rate with new projects is still less than management had hoped. Nevertheless, top managers feel that, on balance, the shift to project management has given
the company the operating advantage that it needed to maintain its lead over rivals in its globally com- petitive industry. “Project management,” admits one MegaTech executive, “is certainly not a magic pill for success, but it has started us thinking about how we operate. As a result, we are doing smarter things in a faster way around here.”
Questions
1. What is it about project management that of- fers MegaTech a competitive advantage in its industry?
2. What elements of the marketplace in which MegaTech operates led the firm to believe that proj- ect management would improve its operations?
CaSe STuDy 1.2 The IT Department at Hamelin Hospital
Hamelin Hospital is a large (700-bed) regional hospi- tal in the northeastern United States. The information technology (IT) department employs 75 people and has an operating budget of over $35 million. The de- partment is responsible for managing 30–40 projects, ranging from small (redesigning computer screens) to very large, such as multimillion-dollar system develop- ment projects that can run for over a year. Hamelin’s IT department has been growing steadily, reflecting the hospital’s commitment to expanding its informa- tion storage and processing capacities. The two princi- pal functions of the IT department are developing new software applications and maintaining the current in- formation system. Project management is a way of life for the department.
The IT department jobs fall into one of five cat- egories: (1) help-desk technician, (2) programmer, (3) senior programmer, (4) systems analyst, and (5) proj- ect manager. Help-desk technicians field queries from computer system users and solve a wide range of problems. Most new hires start at the help desk, where they can become familiar with the system, learn about problem areas, become sensitive to users’ frustrations and concerns, and understand how the IT department affects all hospital operations. As individuals move up the ladder, they join project teams, either as program- mers or systems analysts. Finally, five project manag- ers oversee a constantly updated slate of projects. In addition, the workload is always being supplemented by new projects. Team personnel finish one assignment
and then move on to a new one. The typical IT depart- ment employee is involved in seven projects, each at a different stage of completion.
The project management system in place at Hamelin is well regarded. It has spearheaded a tre- mendous expansion of the hospital’s IT capabilities and thus helped the hospital to gain a competitive advantage over other regional hospitals. Recently, in fact, Hamelin began “farming out” its IT services on a fee-for-service basis to competing hospitals needing help with their records, administration, order-entry systems, and so forth. Not surprisingly, the results have improved the hospital’s bottom line: At a time when more and more health care organizations are feeling the effects of spiraling health care costs, Hamelin’s IT department has helped the hospital sustain continuous budget increases, additional staffing, a larger slate of projects, and a track record of success.
Questions
1. What are the benefits and drawbacks of starting most new hires at the help-desk function?
2. What are the potential problems with requiring project team members to be involved in multiple projects at the same time? What are the potential advantages?
3. What signals does the department send by mak- ing “project manager” the highest position in the department?
Case Study 1.3 31
CaSe STuDy 1.3 Disney’s Expedition Everest
One of the newest thrill rides to open in the Walt Disney World Resort may just be the most impressive. As Disney approached its 50th anniversary, the company wanted to celebrate in a truly special way. What was its idea? Create a park attraction that would, in many ways, serve as the link between Disney’s amazing past and its prom- ising future. Disney showed that it was ready to pull out all stops in order to get everything just right.
In 2006, The Walt Disney Company introduced Expedition Everest in Disney’s Animal Kingdom Park at Lake Buena Vista, Florida. Expedition Everest is more than just a roller coaster. It is the embodiment of the Disney spirit: a ride that combines Disney’s trademark thrills, unexpected twists and turns, incredible attention to detail, and impressive project management skills.
First, let’s consider some of the technical details of Expedition Everest:
• With a peak of just under 200 feet, the ride is con- tained within the tallest of 18 mountains created by Disney’s Imagineers at Disney parks worldwide.
• The ride contains nearly a mile of track, with twists, tight turns, and sudden drops.
• The Disney team created a Yeti: an enormous, fur-covered, Audio-Animatronics monster pow- ered by a set of hydraulic cylinders whose com- bined thrust equals that of a Boeing 747 airliner. Through a series of sketches, computer-animated drawings, sculptures, and tests that took more than two years to perfect, Disney created and pro- grammed its Abominable Snowman to stand over 10 feet tall and serve as the focal point of the ride.
• More than 900 bamboo plants, 10 species of trees, and 110 species of shrubs were planted to re-create the feeling of the Himalayan lowlands surrounding Mount Everest.
• More than 1,800 tons of steel were used to construct the mountain. The covering of the framework was done using more than 3,000 prefabricated “chips” created from 25,000 individual computer-molded pieces of steel.
• To create the proper color schemes, 2,000 gallons of stain and paint were used on rockwork and throughout the village Disney designed to serve as a backdrop for the ride.
• More than 2,000 handcrafted items from Asia are used as props, cabinetry, and architectural ornamentation.
Building an attraction does not come easily or quickly for Disney’s Imagineers. Expedition Everest
was several years in development as Disney sent teams, including Walt Disney Imagineering’s Creative Executive Joe Rohde, on repeated trips to the Himalayas in Nepal to study the lands, architecture, colors, ecol- ogy, and culture in order to create the most authentic setting for the new attraction. Disney’s efforts reflect a desire to do much more than provide a world-class ride experience; they demonstrate the Imagineers’ eagerness to tell a story—a story that combines the mythology of the Yeti figure with the unique history of the Nepalese living in the shadow of the world’s tallest mountain. Ultimately, the attraction, with all its background and thematic elements, took nearly five years to complete.
Riders on Expedition Everest gain a real feel for the atmosphere that Disney has worked so hard to cre- ate. The guests’ adventure starts by entering the build- ing of the “Himalayan Escape” tour company, complete with Norbu and Bob’s booking office to obtain permits for their trip. Overhead flutter authentic prayer flags from monasteries in Nepal. Next, guests pass through Tashi’s General Store and Bar to stock up on supplies for their journey to the peak of the mountain. Finally, guests pass through an old tea warehouse that contains a remarkable museum of artifacts reflecting Nepal’s culture, a history of the Himalayas, and tales of the Yeti, which is said to inhabit the slopes of Mount Everest. It is only now that guests are permitted to board the Anandapur Rail Service for their trip to the peak. Each train is modeled after an aging, steam-engine train, seating 34 guests per train.
Over the next several minutes, guests are trans- ported up the roller coaster track, through a series of winding turns, until their encounter with the Yeti. At this point another unique feature of the attraction emerges: The train begins rushing backward down the track, as though it were out of control. Through the balance of the ride, guests experience a landscape of sights and sounds culminating in a 50 mph final dash down the mountain and back to the safety of the Nepalese village.
Disney’s approach to the management of projects such as Expedition Everest is to combine careful plan- ning, including schedule and budget preparation, with the imagination and vision for which the company is so well known. Creativity is a critical element in the development of new projects at Disney. The company’s Imagineers include some of the most skilled artists and computer-animation experts in the world. Although it is easy to be impressed by the technical knowledge of Disney’s personnel, it is important to remember that each new project is approached with an understanding
(continued)
32 Chapter 1 • Introduction
of the company’s underlying business and attention to market projections, cost control, and careful project management discipline. New attraction proposals are carefully screened and researched. The result is the creation of some of the most innovative and enjoyable rides in the world. Disney does not add new attractions to its theme parks frequently, but when it does so, it does so with style!
Questions
1. Suppose you were a project manager for Disney. Based on the information in this case, what
critical success metrics do you think the com- pany uses when designing a new ride; that is, how would you prioritize the needs for addressing project cost, schedule, quality, and client acceptance? What evidence supports your answer?
2. Why is Disney’s attention to detail in its rides unique? How does the company use the “atmo- sphere” discussed in the case to maximize the experience while minimizing complaints about length of wait for the ride?
CaSe STuDy 1.4 Rescue of Chilean Miners
On October 13, 2010, Foreman Luiz Urzua stepped out of the rescue capsule to thunderous applause and cries of “Viva, Chile!”; he was the last of 33 miners rescued after spending 70 days trapped beneath 2,000 feet of earth and rock. Following a catastrophic collapse, the miners were trapped in the lower shafts of the mine, initially without contact with the surface, leaving the world in suspense as to their fate. Their discovery and ultimate rescue are a story of courage, resourcefulness, and ultimately, one of the most successful projects in recent times.
The work crew of the San Jose copper and gold mine near Copiapo, in northern Chile, were in the middle of their shift when suddenly, on August 5, 2010, the earth shook and large portions of the mine tunnels collapsed, trapping 33 miners in a “workshop” in a lower gallery of the mine. Though they were temporarily safe, they were nearly a half mile below the surface, with no power and food for two days. Worse, they had no means of com- municating with the surface, so their fate remained a mystery to the company and their families. Under these conditions, their main goal was simple survival, con- serving and stretching out meager food supplies for 17 days, until the first drilling probe arrived, punching a hole in the ceiling of the shaft where they were trapped. Once they had established contact with the surface and provided details of their condition, a massive rescue operation was conceived and undertaken.
The first challenge was simply keeping the min- ers alive. The earliest supply deliveries down the nar- row communication shaft included quantities of food and water, oxygen, medicine, clothing, and necessities for survival as well as materials to help the miners pass their time. While groups worked to keep up the miners’ spirits, communicating daily and passing along mes- sages from families, other project teams were formed to begin developing a plan to rescue the men.
The challenges were severe. Among the signifi- cant questions that demanded practical and immediate answers were:
1. How do we locate the miners? 2. How quickly can we drill relief shafts to their
location? 3. How do we bring them up safely?
The mine tunnels had experienced such dam- age in the collapse that simply digging the miners out would have taken several months. A full-scale res- cue operation was conceived to extract the miners as quickly as possible. The U.S.-Chilean company Geotec Boyles Brothers, a subsidiary of Layne Christensen Company, assembled the critical resources from around the world. In western Pennsylvania, two com- panies that were experienced in mine collapses in the South American region were brought into the project. They had UPS ship a specialty drill, capable of creating wide-diameter shafts, large enough to fit men without collapsing. The drill arrived within 48 hours, free of charge. In all, UPS shipped more than 50,000 pounds of specialty equipment to the drilling and rescue site. The design of the rescue pod was the work of a NASA engi- neer, Clinton Cragg, who drew on his experience as a former submarine captain in the Navy and directed a team of 20 to conceive of and develop a means to carry the miners one at a time to the surface.
Doctors from NASA and U.S. submarine experts arrived at the mine site in mid-August, to assess the psychological state of the miners. Using their expertise in the physical and mental pressures of dealing with extended isolation, they worked with local officials to develop an exercise regimen and a set of chores for the workers in order to give them a sense of structure and responsibilities. The miners knew that help was being
Internet Exercises 33
assembled, but they had no notion of the technical chal- lenges of making each element in the rescue succeed. Nevertheless, with contact firmly established with the surface through the original contact drill shaft, the min- ers now began receiving news, updates from the surface, and a variety of gifts to ease the tedium of waiting.
The United States also provided an expert driller, Jeff Hart, who was called from Afghanistan, where he was helping American forces find water at forward operating bases, to man the specialty drilling machine. The 40-year-old drilled for 33 straight days, through tough conditions, to reach the men trapped at the mine floor. A total of three drilling rigs were erected and began drilling relief shafts from different directions. By September 17, Hart’s drill (referred to as “Plan B”) reached the miners, though the diameter of the shaft was only 5 inches. It would take a few weeks to ream the shaft with progressively wider drill bits to the final 25-inch diameter necessary to support the rescue cap- sules being constructed. Nevertheless, the rescue team was exuberant over the speed with which the shaft reached the trapped miners. Because of the special skills of the mining professionals, it is estimated that they cut more than two months off the time that experts expected this phase of the operation to take.
The first rescue capsule, named Phoenix, arrived at the site on September 23, with two more under con- struction and due to be shipped in two weeks. The Phoenix capsule resembled a specially designed cylin- drical tube. It was 13 feet long and weighed 924 pounds with an interior width of 22 inches. It was equipped with oxygen and a harness to keep occupants upright, communication equipment, and retractable wheels. The idea was for the capsule to be narrow enough to be lowered into the rescue shaft but wide enough for one person at a time to be fitted inside and brought back to the surface. To ensure that all 33 miners would fit into the Phoenix, they were put on special liquid diets and given an exercise regimen to follow while waiting for the final preparations to be made.
Finally, after extensive tests, the surface team decided that the shaft was safe enough to support the
rescue efforts and lowered the first Phoenix capsule into the hole. In two successive trips, the capsule car- ried down a paramedic and rescue expert who vol- unteered to descend into the mine to coordinate the removal of the miners. The first rescued miner broke the surface just after midnight on October 13 follow- ing a 15-minute ride in the capsule. A little more than 22 hours later, the shift manager, Urzua, was brought out of the mine, ending a tense and stressful rescue project.
The rescue operation of the Chilean miners was one of the most successful emergency projects in recent memory. It highlighted the ability of people to work together, marshal resources, gather support, and use innovative technologies in a humanitarian effort that truly captured the imagination of the world. The chal- lenges that had to be overcome were significant: first, the technical problems associated with simply finding and making contact with survivors; second, devising a means to recover the men safely; third, undertaking special steps to ensure the miners’ mental and physi- cal health remained strong; and finally, requiring all parties to develop and rely on radical technologies that had never been used before. In all these challenges, the rescue team performed wonders, recovering and restoring to their families all 33 trapped miners. On November 7, just one month after the rescue, one of the miners, Edison Pena, realized his own personal dream: running in and completing the New York City mara- thon. Quite an achievement for a man who had just spent more than two months buried a half mile below the surface of the earth!35
Questions
1. What does the story of the Chilean miners res- cue suggest to you about the variety of ways that project management can be used in the modern world?
2. Successful project management requires clear organization, careful planning, and good execu- tion. How were each of these traits shown in this rescue example?
Internet exercises
1.1 The largest professional project management organiza- tion in the world is the Project Management Institute (PMI). Go to its Web site, www.pmi.org, and examine the links you find. Which links suggest that project man- agement has become a sophisticated and vital element in corporate success? Select at least three of the related links and report briefly on the content of these links.
1.2 Go to the PMI Web site and examine the link “Membership.” What do you discover when you begin navigating among the various chapters and cooperative organizations
associated with PMI? How does this information cause you to rethink project management as a career option?
1.3 Go to www.pmi.org/Business-Solutions/OPM3-Case-Study- Library.aspx and examine some of the cases included on the Web page. What do they suggest about the challenges of managing projects successfully? The complexity of many of today’s projects? The exciting breakthroughs or opportunities that projects allow us to exploit?
1.4 Using your favorite search engine (Google, Yahoo!, etc.), type in the keywords “project” and “project management.”
34 Chapter 1 • Introduction
Notes
Randomly select three of the links that come up on the screen. Summarize what you find.
1.5 Go to the Web site for the Software Engineering Institute of Carnegie Mellon University at https://resources.sei.cmu. edu/asset_files/SpecialReport/1994_003_001_16265.pdf and access the software process maturity questionnaire. What are some of the questions that IT companies need to consider when assessing their level of project management maturity?
PMP certificAtion sAMPle QUestions
1. The majority of the project budget is expended upon: a. Project plan development. b. Project plan execution. c. Project termination. d. Project communication.
2. Which of the following is the most critical component of the triple constraint?
a. Time, then cost, then quality. b. Quality, then budget, then time. c. Scope. d. They are all of equal importance unless otherwise
stated.
3. Which of the following best describes a project stakeholder?
a. A team member. b. The project manager.
c. Someone who works in an area affected by the project.
d. All of the above are stakeholders.
4. All of the following are elements in the definition of a project, except:
a. A project is time-limited. b. A project is unique. c. A project is composed of unrelated activities. d. A project is undertaken for a purpose.
5. All of the following distinguish project management from other process activities, except:
a. There are no fundamental differences between project and process management.
b. Project management often involves greater cer- tainty of performance, cost, and schedule.
c. Process management operates outside of line organizations.
d. None of the above correctly distinguish project from process management.
Answers: 1. b—The majority of a project budget is spent during the execution phase; 2. d—Unless otherwise stated, all elements in the triple-constraint model are equally critical; 3. d—All of the examples listed are types of project stakeholders; 4. c—A project is composed of “interrelated” activities; 5. d—None of the answers given correctly differentiates “process” from “project” management.
1. Valery, Paul, quoted in “Extreme chaos” (Boston: Standish Group International, 2001).
2. Duthiers, V., and Kermeliotis, T. (2012, August 22). “Lagos of the future: Megacity’s ambitious plans.” CNN. http://edition.cnn.com/2012/08/22/business/lagos- urbanization-regeneration-infrastructure/; Walt, V. (2014, June 30). “Africa’s Big Apple,” Fortune, pp. 92–94; Ogunbiyi, T. (2014, February 6). “On Lagos’ investment in infrastructure development,” Business Day. http:// businessdayonline.com/2014/02/on-lagos-investment- in-infrastructure-development/#.U6hKwPldV8E; Joy, O. (2013, October 10). “Tech cities and mega dams: Africa’s giant infrastructure projects,” CNN. http://edition. cnn.com/2013/10/10/business/tech-cities-dams-africa- infrastructure/; Curnow, R. and Kermeliotis, T. (2012, April 5). “The daily grind of commuting in Africa’s economic hubs,” CNN. http://edition.cnn.com/2012/04/05/world/ africa/commuting-africa/index.html?iref=allsearch
3. Peters, Thomas. (1994). Liberation Management: Necessary Disorganization for the Nanosecond Nineties. New York: Fawcett Books.
4. Stewart, Thomas H. (1995). “The corporate jungle spawns a new species,” Fortune, July 10, pp. 179–80.
5. Gilbreath, Robert D. (1988). “Working with pulses not streams: Using projects to capture opportunity,” in Cleland, D., and King, W. (Eds.), Project Management Handbook. New York: Van Nostrand Reinhold, pp. 3–15.
6. Buchanan, D. A., and Boddy, D. (1992). The Expertise of the Change Agent: Public Performance and Backstage Activity. London: Prentice Hall.
7. Frame, J. D. (1995). Managing Projects in Organizations, 2nd ed. San Francisco, CA: Jossey-Bass. See also Frame, J. D. (2002). The New Project Management, 2nd ed. San Francisco, CA: Jossey-Bass.
8. Kerzner, H. (2003). Project Management, 8th ed. New York: Wiley.
9. Field, M., and Keller, L. (1998). Project Management. London: The Open University.
10. Project Management Institute. (2013). A Guide to the Project Management Body of Knowledge, 5th ed. Newtown Square, PA: PMI.
11. Cleland, D. I. (2001). “The discipline of project manage- ment,” in Knutson, J. (Ed.), Project Management for Business Professionals. New York: Wiley, pp. 3–22.
12. Lundin, R. A., and Soderholm, A. (1995). “A theory of the temporary organization,” Scandinavian Journal of Management, 11(4): 437–55.
13. Graham, R. J. (1992). “A survival guide for the acciden- tal project manager.” Proceedings of the Annual Project Management Institute Symposium. Drexel Hill, PA: Project Management Institute, pp. 355–61.
14. Sources: http://macs.about.com/b/a/087641.htm; Mossberg, W. S. (2004). “The music man,” Wall Street Journal, June 14, p. B1. Project Management Institute, Sohmen, Victor. “Project termination: Why the delay?” PMI Research Conference. Proceedings, p. 467–475. Paper presented at PMI Research Conference. Project Management Institute, Inc (2002). Copyright and all rights reserved. Material from this publication has been reproduced with the per- mission of PMI.
Notes 35
15. Pinto, J. K., and Millet, I. (1999). Successful Information Systems Implementation: The Human Side, 2nd ed. Newtown Square, PA: PMI.
16. Kapur, G. K. (1998). “Don’t look back to create the future.” Presentation at the Frontiers of Project Management Conference, Boston, MA.
17. Ted Ritter ( 2007, May 17). Public sector IT projects have only 30% success rate - CIO for Department for Work and Pensions. Retrieved from: http://www.computerweekly.com/blogs/ public-sector/2007/05/public-sector-it- projects-have.html
18. Clausing, J., and Daly, M. (2013, September 14). “US nuclear agency faulted for laxity and overspending,” Boston Globe. www.bostonglobe.com/news/nation/2013/09/13/ nation-bloated-nuclear-spending-comes-under-fire/ O2uP7gv06vTAEw0AIcCIlL/story.html
19. “How to establish an organizational culture that pro- motes projects,” www.bia.ca/articles/HowToEstablisha ProjectManagementCulture.htm; Standish Group. (2006). The Trends in IT Value report; Standish Group. (2013). Chaos Manifesto 2013. Boston, MA.
20. Kelley, M. (2008, November 18). “$600M spent on can- celed contracts,” USA Today, p. 1; Francis, D. (2014, June 12). “How squandered U.S. money fuels Iraqi insurgents,” Fiscal Times. www.thefiscaltimes.com/Articles/2014/06/12/How- Squandered-US-Money-Fuels-Iraq-s-Insurgents; Mulrine, A. (2013, July 12). “Rebuilding Iraq: Final report card on US efforts highlights massive waste,” Christian Science Monitor. www. csmonitor.com/USA/Military/2013/0712/Rebuilding-Iraq- Final-report-card-on-US-efforts-highlights-massive-waste
21. Cleland, D. I. (1994). Project Management: Strategic Design and Implementation. New York: McGraw-Hill; Pinto, J. K., and Rouhiainen, P. (2001). Building Customer-Based Project Organizations. New York: Wiley; Gray, C. F., and Larson, E. W. (2003). Project Management, 2nd ed. Burr Ridge, IL: McGraw-Hill.
22. Petroski, H. (1985). To Engineer Is Human—The Role of Failure in Successful Design. London: St. Martin’s Press.
23. Hewlett, S. (2014, February 3). “BBC’s Digital Media Initiative failed because of more than poor oversight,” The Guardian. www.theguardian.com/media/media-blog/ 2014/ feb/03/bbc-digital-media-initiative-failed-mark-thompson; Conlan, T. (2013, May 24). “BBC axes £98m technology proj- ect to avoid ‘throwing good money after bad,’” The Guardian. www.theguardian.com/media/2013/may/24/bbc-tech- nology-project-digital-media-initiative; Commons Select Committee. (2014, April 10). “BBC’s Digital Media Initiative a complete failure.” www.parliament.uk/business/com- mittees/committees-a-z/commons-select/public-accounts- committee/news/bbc-dmi-report-substantive/; BBC. (2013, December 18). “BBC ‘not effective’ in running failed £100m IT scheme.” www.bbc.com/news/entertainment- arts-25433174; Daniel, E., and Ward, J. (2013, June). “BBC’s DMI project failure is a warning to all organisations,” Computer Weekly. www.computerweekly.com/opinion/ BBCs-DMI-project-failure-is-a-warning-to-all-organisations
24. Sohmen, Victor. (2002, July). “Project termination: Why the delay?” Paper presented at PMI Research Conference, Seattle, WA.
25. Freeman, M., and Beale, P. (1992). “Measuring project suc- cess,” Project Management Journal, 23(1): 8–17.
26. Morris, P. W. G. (1997). The Management of Projects. Thomas Telford: London; McKain, S. (2005). What Customers Really Want. Thomas Nelson: Nashville, TN.
27. Shenhar, A. J., Levy, O., and Dvir, D. (1997). “Mapping the dimensions of project success,” Project Management Journal, 28(2): 5–13.
28. DeLone, W. H., and McLean, E. R. (1992). “Information systems success: The quest for the dependent variable,” Information Systems Research, 3(1): 60–95; Seddon, P. B. (1997). “A respecification and extension of the DeLone and McLean model of IS success,” Information Systems Research, 8(3): 249–53; DeLone, W. H., and McLean, E. R. (2003). “The DeLone and McLean model of information system suc- cess: A ten-year update,” Journal of Management Information Systems, 19(4): 9–30.
29. Atkinson, R. (1999). “Project management: Cost, time and quality, two best guesses and a phenomenon, it’s time to accept other success criteria,” International Journal of Project Management, 17(6): 337–42; Cooke-Davies, T. (2002). “The ‘real’ success factors on projects,” International Journal of Project Management, 20(3): 185–90; Olson, D. L. (2001). Introduction to Information Systems Project Management. Burr Ridge, IL: Irwin/McGraw-Hill.
30. Pennypacker, J. S., and Grant, K. P. (2003). “Project man- agement maturity: An industry benchmark,” Project Management Journal, 34(1): 4–11; Ibbs, C. W., and Kwak, Y. H. (1998). “Benchmarking project management organiza- tions,” PMNetwork, 12(2): 49–53.
31. Reginato, P. E., and Ibbs, C. W. (2002). “Project manage- ment as a core competency,” Proceedings of PMI Research Conference 2002, Slevin, D., Pinto, J., and Cleland, D. (Eds.), The Frontiers of Project Management Research. Newtown Square, PA: Project Management Institute, pp. 445–50.
32. Crawford, K. (2002). Project Management Maturity Model: Providing a Proven Path to Project Management Excellence. New York: Marcel Dekker; Foti, R. (2002). “Implementing maturity models,” PMNetwork, 16(9): 39–43; Gareis, R. (2001). “Competencies in the project-oriented organiza- tion,” in Slevin, D., Cleland, D., and Pinto, J. (Eds.), The Frontiers of Project Management Research. Newtown Square, PA: Project Management Institute, pp. 213–24; Gareis, R., and Huemann, M. (2000). “Project management compe- tencies in the project-oriented organization,” in Turner, J. R., and Simister, S. J. (Eds.), The Gower Handbook of Project Management, 3rd ed. Aldershot, UK: Gower, pp. 709–22; Ibbs, C. W., and Kwak, Y. H. (2000). “Assessing project man- agement maturity,” Project Management Journal, 31(1): 32–43.
33. Humphrey, W. S. (1988). “Characterizing the software pro- cess: A maturity framework,” IEEE Software, 5(3): 73–79; Carnegie Mellon University. (1995). The Capability Maturity Model: Guidelines for Improving the Software Process. Boston, MA: Addison-Wesley; Kerzner, H. (2001). Strategic Planning for Project Management Using a Project Management Maturity Model. New York: Wiley; Crawford, J. K. (2002). Project Management Maturity Model. New York: Marcel Dekker; Pritchard, C. (1999). How to Build a Work Breakdown Structure: The Cornerstone of Project Management. Arlington, VA: ESI International.
34. Jenkins, Robert N. (2005). “A new peak for Disney,” St. Petersburg Times Online, www.sptimes.com/2005/12/11/ news_pf/travel/A_new_peak_for_Disney.
35. www.cnn.com/2010/WORLD/americas/10/15/chile. mine.rescue.recap/index.html; www.cnn.com/2010/ OPINION/10/12/gergen.miners/index.html; www. t h e n e w a m e r i c a n . c o m / i n d e x . p h p / o p i n i o n / s a m - blumenfeld/5140-how-americans-engineered-the-rescue- of-the-chilean-miners
36
2 ■ ■ ■
The Organizational Context Strategy, Structure, and Culture
Chapter Outline Project Profile
Tesla’s $5 Billion Gamble introduction 2.1 Projects and organizational
strategy 2.2 stakeholder ManageMent
Identifying Project Stakeholders Managing Stakeholders
2.3 organizational structure 2.4 forMs of organizational
structure Functional Organizations Project Organizations Matrix Organizations Moving to Heavyweight Project
Organizations Project ManageMent research in Brief
The Impact of Organizational Structure on Project Performance
2.5 Project ManageMent offices
2.6 organizational culture How Do Cultures Form? Organizational Culture and Project
Management Project Profile
Electronic Arts and the Power of Strong Culture in Design Teams
Summary Key Terms Discussion Questions Case Study 2.1 Rolls-Royce Corporation Case Study 2.2 Classic Case: Paradise Lost—The
Xerox Alto Case Study 2.3 Project Task Estimation and the
Culture of “Gotcha!” Case Study 2.4 Widgets ‘R Us Internet Exercises PMP Certification Sample Questions Integrated Project—Building Your
Project Plan Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand how effective project management contributes to achieving strategic objectives. 2. Recognize three components of the corporate strategy model: formulation, implementation,
and evaluation. 3. See the importance of identifying critical project stakeholders and managing them within the
context of project development. 4. Recognize the strengths and weaknesses of three basic forms of organizational structure and
their implications for managing projects. 5. Understand how companies can change their structure into a “heavyweight project
organization” structure to facilitate effective project management practices. 6. Identify the characteristics of three forms of project management office (PMO).
7. Understand key concepts of corporate culture and how cultures are formed. 8. Recognize the positive effects of a supportive organizational culture on project management
practices versus those of a culture that works against project management.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Project Procurement Management (PMBoK sec. 12) 2. Identify Stakeholders (PMBoK sec. 13.1) 3. Plan Stakeholder Management (PMBoK 13.2) 4. Manage Stakeholder Engagement (PMBoK 13.3) 5. Organizational Influences on Project Management (PMBoK sec. 2.1) 6. Organizational Structures (PMBoK sec. 2.1.3) 7. Organizational Cultures and Styles (PMBoK sec. 2.1.1) 8. Enterprise Environmental Factors (PMBoK sec. 2.1.5)
Project Profile
case—tesla’s $5 Billion Gamble
Tesla Motors, developer of the iconic Model S “electric sports car,” recently unveiled plans to create a “gigafactory” in order to produce batteries to power its automobiles. The concept was introduced by Tesla’s owner, Elon Musk, who called the proposed battery plant the world’s largest, and would lead to hiring 6,500 new workers and creating thou- sands of ancillary jobs in the process. Musk’s plan is to develop a factory that will cover 10 million square feet of space with a manufacturing capacity to produce 35 gigawatt hours of batteries per year. To put this in perspective, Tesla’s closest competitor in producing car batteries would be Nissan’s battery factory in Tennessee, which employs only 300 workers and can turn out 4.8 gigawatt hours of batteries. In setting their sights on building the world’s largest battery factory, Tesla (and Elon Musk) are gambling that demand for electric cars is rapidly growing. Musk’s plan is for the plant to start producing batteries by 2017, which puts pressure on the company to break ground by the end of 2014.
Tesla’s first car, the Tesla Model S, is a fully-electric powered sports car that has generated huge publicity for its performance, styling, and quality. Consumer Reports gave the car a “99” rating; its highest score ever. Selling for over $80,000 per car, however, has limited the market for the Tesla Model S to the very affluent. As a result, Tesla has already announced plans for a mid-priced car, the Gen III, which is expected to have a starting price of around $35,000. Tesla’s challenge lies in reducing the cost of its batteries. For example, the 85 kilowatt-hour battery pack for the Model S can cost over $25,000. Clearly, for a mid-priced car to be a possibility, Tesla has to find a way to lower battery costs, with an initial target of a 30% reduction.
With the promise of such a massive factory, including the thousands of jobs the project would bring, it is no sur- prise that a number of western states are actively competing to be the host site for the structure. Officials in Arizona, Nevada, New Mexico, and Texas have all promised tax breaks, the opportunity for Tesla to open their own retail stores statewide, and a list of other incentives for them to agree to build in their state.
Not everyone has greeted Tesla’s plan with enthusiasm, however. For example, Volkswagen CEO Martin Winterkorn recently observed that the current supply of car batteries was more than enough, given the slow accep- tance rate with which electric cars are entering the American marketplace. Sales of electric vehicles remain small—less than 1% of the total U.S. market. The U.S. government spent more than $1 billion on new electric-vehicle battery plants as part of the Obama administration’s economic stimulus, but many of those plants now run at just 15% to 20% of capacity. Numerous CEOs of car companies, battery makers, and others with a stake in the automotive industry share concerns about the advisability of devoting such huge capital investment in one factory for a market that is, at best, slowly developing.
Tesla, with sales of just over 22,400 cars last year, is already the largest buyer of lithium-ion battery cells in the world. Its plans to sell 500,000 vehicles means that its own demand would be greater than the demand for every laptop, mobile phone, and tablet sold in the world. To help meet this demand, as well as offset some of the cost of the huge factory project, Elon Musk has been negotiating with some skeptical potential partners, including Panasonic’s automo- tive and industrial systems subsidiary, to invest in the new Gigafactory and run battery-cell production. Tesla executives
(continued)
Project Profile 37
38 Chapter 2 • The Organizational Context
argue that they need a plant to guarantee future supplies of the millions of battery cells they need at the reduced costs that come from economies of scale and logistics savings.
The risks in taking on this huge project are not solely technical or demand-based. Given Tesla’s tight timetable for completion of the factory, there is concern that it may not be possible to complete a structure within the window Mr. Musk envisions. While it may be doable, there is no doubt that the vision to imagine, design, and build a Gigafactory makes this a unique opportunity, coupled with significant risks.1
IntroductIon
For successful project management, the organizational setting matters—its culture, its structure, and its strategy each play an integral part, and together they create the environment in which a project will flourish or founder. For example, a project’s connection to your organization’s overall strategy, the care with which you staff the team, and the goals you set for the proj- ect can be critical. Similarly, your organization’s policies, structure, culture, and operating systems can work to support and promote project management or work against the ability to effectively run projects. Contextual issues provide the backdrop around which project activi- ties must operate, so understanding what is beneath these issues truly contributes to under- standing how to manage projects. Issues that affect a project can vary widely from company to company.
Before beginning a project, the project manager and team must be certain about the struc- ture of the organization as it pertains to their project and the tasks they seek to accomplish. As clearly as possible, all reporting relationships must be specified, the rules and procedures that will govern the project must be established, and any issues of staffing the project team must be identified. General Electric’s efforts to acquire French conglomerate Alstom for $17 billion has been an enormously complicated undertaking, involving the combined efforts of multiple business units, financial analysis, and constant interaction with Alstom’s principle stakeholders, especially the French government. As part of their strategy, GE must identify the business groups that can be blended in with their own organization, units that are redundant to GE operations, and a logical organizational structure to best link the combined organization
FIgure 2.1 the tesla Model S “Skateboard” design with the flat battery pack located in the base of the car
Source: Car Culture/Corbis
2.1 Projects and Organizational Strategy 39
together in as efficient a manner as possible. Integrating Alstom’s nearly 85,000 employees and global business units with their own operations makes GE’s efforts a showcase in the project management of a strategic acquisition.
For many organizations, projects and project management practices are not the operating norm. In fact, as Chapter 1 discussed, projects typically exist outside of the formal, process- oriented activities associated with many organizations. As a result, many companies are sim- ply not structured to allow for the successful completion of projects in conjunction with other ongoing corporate activities. The key challenge is discovering how project management may best be employed, regardless of the structure the company has adopted. What are the strengths and weaknesses of various structural forms and what are their implications for our ability to manage projects? This chapter will examine the concept of organizational culture and its roots and implications for effective project management. By looking closely at three of the most important contextual issues for project management—strategy, organizational structure, and culture—you will see how the variety of structural options can affect, either positively or negatively, the firm’s ability to manage projects.
2.1 Projects and organIzatIonal strategy
strategic management is the science of formulating, implementing, and evaluating cross-functional decisions that enable an organization to achieve its objectives.2 In this section we will consider the relevant components of this definition as they apply to project management. Strategic management consists of the following elements:
1. Developing vision statements and mission statements. Vision and mission statements establish a sense of what the organization hopes to accomplish or what top managers hope it will become at some point in the future. Vision statements describe the organi- zation in terms of where it would like to be in the future. Effective vision statements are both inspirational and aspirational. A corporate vision serves as a focal point for members of the organization who may find themselves pulled in different directions by competing demands. In the face of multiple expectations and even contradictory efforts, an ultimate vision can serve as a “tie breaker,” which is highly beneficial in establishing priorities. A sense of vision is also an extremely important source of moti- vation and purpose. As the Book of Proverbs points out: “Where there is no vision, the people perish” (Prov. 29:18).3 Mission statements explain the company’s reason for exis- tence and support the vision. Many firms apply their vision and mission statements to evaluating new project opportunities as a first screening device. For example, Bechtel Corporation, a large construction organization, employs as its vision the goal of being “the world’s premier engineering, construction, and project management company.”4 For Bechtel, this means (1) Customers and partners will see Bechtel as integral to their success; (2) People will be proud to work at Bechtel; and (3) Communities will regard Bechtel as “ responsible—and responsive.” Projects they undertake must support this vision and those that do not are not pursued.
2. Formulating, implementing, and evaluating. Projects, as the key ingredients in strategy implementation, play a crucial role in the basic process model of strategic management. A firm devotes significant time and resources to evaluating its business opportunities through developing a corporate vision or mission, assessing internal strengths and weak- nesses as well as external opportunities and threats, establishing long-range objectives, and generating and selecting among various strategic alternatives. All these components relate to the formulation stage of strategy. Within this context, projects serve as the vehicles that enable companies to seize opportunities, capitalize on their strengths, and implement overall corporate objectives. New product development, for example, fits neatly into this framework. New products are developed and commercially introduced as a compa- ny’s response to business opportunities. Effective project management enables firms to efficiently and rapidly respond.
3. Making cross-functional decisions. Business strategy is a corporate-wide venture, requiring the commitment and shared resources of all functional areas to meet overall
40 Chapter 2 • The Organizational Context
table 2.1 Projects reflect Strategy
Strategy Project
Technical or operating initiatives (such as new distribution strategies or decentralized plant operations)
Construction of new plants or modernization of facilities
Development of products for greater market penetration and acceptance
New product development projects
New business processes for greater streamlining and efficiency Reengineering projects
Changes in strategic direction or product portfolio reconfiguration New product lines
Creation of new strategic alliances Negotiation with supply chain members (including suppliers and distributors)
Matching or improving on competitors’ products and services Reverse engineering projects
Improvement of cross-organizational communication and efficiency in supply chain relationships
Enterprise IT efforts
Promotion of cross-functional interaction, streamlining of new product or service introduction, and improvement of departmental coordination
Concurrent engineering projects
objectives. Cross-functional decision making is a critical feature of project management, as experts from various functional groups come together into a team of diverse personalities and backgrounds. Project management work is a natural environment in which to opera- tionalize strategic plans.
4. Achieving objectives. Whether the organization is seeking market leadership through low-cost, innovative products, superior quality, or other means, projects are the most effective tools to allow objectives to be met. A key feature of project management is that it can potentially allow firms to be effective in the external market as well as inter- nally efficient in operations; that is, it is a great vehicle for optimizing organizational objectives, whether they incline toward efficiency of production or product or process effectiveness.
Projects have been called the “stepping-stones” of corporate strategy.5 This idea implies that an organization’s overall strategic vision is the driving force behind its project development. For example, 3M’s desire to be a leading innovator in business gives rise to the creation and man- agement of literally hundreds of new product development projects within the multinational organization every year. Likewise, Rubbermaid Corporation is noted for its consistent pursuit of new product development and market introduction. The manner in which organizational strategies affect new project introductions will be addressed in greater detail in the chapter on project selection (Chapter 3). Projects are the building blocks of strategies; they put an action-oriented face on the strategic edifice. Some examples of how projects operate as strategic building blocks are shown in Table 2.1. Each of the examples illustrates the underlying theme that projects are the “operational reality” behind strategic vision. In other words, they serve as the building blocks to create the reality a strategy can only articulate.
The tows matrix (See Figure 2.2) is a useful way to see the links between projects and an organization’s strategic choices. TOWS comes from the acronym for “Threats–Opportunities– Weaknesses–Strengths” and refers to the challenges companies face in both their internal envi- ronment (within the organization) and their external environment (outside the company). In first identifying and then formulating strategies for addressing internal strengths and weak- nesses and external opportunities and threats, firms rely on projects as a device for pursuing these strategic choices. As Figure 2.2 suggests, once an organization determines the appropri- ate strategies to pursue (e.g., “maxi-maxi” strategy), it can then identify and undertake project choices that support this TOWS matrix. Projects offer companies the ability to create concrete means for realizing strategic goals.6
2.2 Stakeholder Management 41
An organization’s strategic management is the first important contextual element in its proj- ect management approaches. Because projects form the building blocks that allow us to implement strategic plans, it is vital that there exist a clear sense of harmony, or complementarity, between strategy and projects that have been selected for development. In a later section, we will add to our understanding of the importance of creating the right context for projects by adding an additional variable into the mix: the organization’s structure.
2.2 stakeholder ManageMent
Organizational research and direct experience tell us that organizations and project teams cannot operate in ways that ignore the external effects of their decisions. One way to understand the rela- tionship of project managers and their projects to the rest of the organization is through employing stakeholder analysis. stakeholder analysis is a useful tool for demonstrating some of the seem- ingly irresolvable conflicts that occur through the planned creation and introduction of any new project. Project stakeholders are defined as all individuals or groups who have an active stake in the project and can potentially impact, either positively or negatively, its development.7 Project stakeholder analysis, then, consists of formulating strategies to identify and, if necessary, manage for positive results the impact of stakeholders on the project.
Stakeholders can affect and are affected by organizational actions to varying degrees.8 In some cases, a corporation must take serious heed of the potential influence some stakeholder groups are capable of wielding. In other situations, a stakeholder group may have relatively little power to influence a company’s activities but its presence may still require attention. Contrast, for example, the impact that the government has on regulating the tobacco indus- try’s activities with the relative weakness of a small subcontractor working for Oracle on new software development. In the first case, the federal government has, in recent years, strongly limited the activities and sales strategies of the tobacco companies through the threat of regula- tion and litigation. On the other hand, Oracle, a large organization, can easily replace one small subcontractor with another.
Stakeholder analysis is helpful to the degree that it compels firms to acknowledge the poten- tially wide-ranging effects, both intended and unintended, that their actions can have on various stakeholder groups.9 For example, the strategic decision to close an unproductive manufacturing facility may make good business sense in terms of costs versus benefits that the company derives from the manufacturing site. However, the decision to close the plant has the potential to unleash
External Opportunities (O)
Internal Strengths (S)
Internal Weaknesses (W)
SO “Maxi-Maxi” Strategy
ST “Maxi-Mini” Strategy
WT “Mini-Mini” Strategy
WO “Mini-Maxi” Strategy
Develop projects that use strengths to maximize
opportunities
Develop projects that use strengths to minimize
threats
Develop projects that minimize weaknesses and
avoid threats
Develop projects that minimize weaknesses by
taking advantage of opportunities
1. 2. 3.
1. 2. 3.
1. 2. 3.
1. 2. 3.
External Threats (T)
FIgure 2.2 toWS Matrix
42 Chapter 2 • The Organizational Context
a torrent of stakeholder complaints in the form of protests and challenges from local unions, work- ers, community leaders in the town affected by the closing, political and legal groups, environmen- tal concerns, and so forth. Sharp managers will consider the impact of stakeholder reaction as they weigh the possible effects of their strategic decisions.
Just as stakeholder analysis is instructive for understanding the impact of major strate- gic decisions, project stakeholder analysis is extremely important when it comes to managing projects. The project development process itself can be directly affected by stakeholders. This relationship is essentially reciprocal in that the project team’s activities can also affect external stakeholder groups.10 Some common ways the client stakeholder group has an impact on proj- ect team operations include agitating for faster development, working closely with the team to ease project transfer problems, and influencing top management in the parent organization to continue supporting the project. The project team can reciprocate this support through actions that show willingness to closely cooperate with the client in development and transition to user groups.
The nature of these various demands can place them seemingly in direct conflict. That is, in responding to the concerns of one stakeholder, project managers often unwittingly find themselves having offended or angered another stakeholder who has an entirely different agenda and set of expectations. For example, a project team working to install a new software application across the organization may go to such levels to ensure customer satisfaction that they engage in countless revisions of the package until they have, seemingly, made their customers happy. However, in doing so, the overall project schedule may now have slipped to the point where top management is upset by the cost and schedule overruns. In managing projects, we are challenged to find ways to balance a host of demands and still maintain supportive and constructive relationships with each important stakeholder group.
Identifying Project stakeholders
Internal stakeholders are a vital component in any stakeholder analysis, and their impact is usually felt in relatively positive ways; that is, while serving as limiting and control- ling influences (in the case of the company accountant), for example, most internal stake- holders want to see the project developed successfully. On the other hand, some external stakeholder groups operate in manners that are quite challenging or even hostile to project development. Consider the case of spikes in the price of oil. With oil prices remain- ing unstable, ranging from $60 to above $100 per barrel through much of 2014, the impact on the global economy, attempting to emerge from the Great Recession, has been severe. Many groups in the United States have advocated taking steps to lessen the country’s dependence on foreign oil, including offshore exploration and the development of a new generation of nuclear power plants. Hydraulic fracturing (“fracking”) technology has been widely embraced as a means for developing shale deposits across the country, resulting in projections that the United States will go from a net importer of 1.5 trillion cubic feet of natural gas in 2012 to an exporter by 2016. Environmental groups, however, continue to oppose these steps, vowing to use litigation, political lobbying, and other measures to resist the development of these alter- native energy sources. As a recent example of the danger, they cite the Deepwater Horizon disaster that leaked thousands of barrels of oil into the Gulf of Mexico. Political efforts by environmentalists and their supporters have effectively delayed for years the development of the 1,700-mile-long Keystone XL oil pipeline from Canada’s oil sands region to refineries in Texas. Cleland refers to these types of external stakeholders as intervenor groups, defined as groups external to the project but possessing the power to effectively intervene and disrupt the project’s development.11
Among the set of project stakeholders that project managers must consider are:
Internal
• Top management • Accounting • Other functional managers • Project team members
2.2 Stakeholder Management 43
External
• Clients • Competitors • Suppliers • Environmental, political, consumer, and other intervenor groups
clIents Our focus throughout this entire book will be on maintaining and enhancing client rela- tionships. In most cases, for both external and internal clients, a project deals with an investment. Clients are concerned with receiving the project from the team as quickly as possible because the longer the project implementation, the longer the money invested sits without generating any re- turns. As long as costs are not passed on to them, clients seldom are overly interested in how much expense is involved in a project’s development. The opposite is usually the case, however. Costs typically must be passed on, and customers are avidly interested in getting what they pay for. Also, many projects start before client needs are fully defined. Product concept screening and clarification are often made part of the project scope of work (see Chapter 5). These issues—costs and client needs—are two strong reasons why many customers seek the right to make suggestions and request alterations in the project’s features and operating characteristics well into the schedule. Customers feel, with justification, that a project is only as good as it is acceptable and useful. This sets a certain flexibility requirement and requires willingness from the project team to be amenable to specification changes.
Another important fact to remember about dealing with client groups is that the term client does not in every case refer to the entire customer organization. The reality is often far more complex. A client firm consists of a number of internal interest groups, and in many cases they have different agendas. For example, a company can probably readily identify a number of distinct clients within the customer organization, including the top management team, engineering groups, sales teams, on-site teams, manufacturing or assembly groups, and so on. Under these normal circumstances, it becomes clear that the process of formulating a stakeholder analysis of a customer organization can be a complex undertaking.
The challenge is further complicated by the need to communicate, perhaps using different business language, with the various customer stakeholder groups (see Figure 2.3). Preparing a presentation to deal with the customer ’s engineering staff requires mastery of technical infor- mation and solid specification details. On the other hand, the finance and contractual people are looking for tightly presented numbers. Formulating stakeholder strategies requires you first to acknowledge the existence of these various client stakeholders, and then to formulate a coordinated plan for uncovering and addressing each group’s specific concerns and learning how to reach them.
Parent Organization
External Environment
Top Management
Accountant Project Team
Project Manager
Clients
Other Functional Managers
FIgure 2.3 Project Stakeholder relationships
44 Chapter 2 • The Organizational Context
coMPetItors Competitors can be an important stakeholder element because they are affected by the successful implementation of a project. Likewise, should a rival company bring a new product to market, the project team’s parent organization could be forced to alter, delay, or even abandon its project. In assessing competitors as a project stakeholder group, project managers should try to uncover any information available about the status of a competitor’s projects. Further, where possible, any apparent lessons a competitor may have learned can be a source of useful informa- tion for a project manager who is initiating a similar project. If a number of severe implementation problems occurred within the competitor’s project, that information could offer valuable lessons in terms of what to avoid.
suPPlIers Suppliers are any group that provides the raw materials or other resources the proj- ect team needs in order to complete the project. When a project requires a significant supply of externally purchased components, the project manager needs to take every step possible to ensure steady deliveries. In most cases this is a two-way street. First, the project manager has to ensure that each supplier receives the information necessary to implement its part of the proj- ect in a timely way. Second, the project manager must monitor the deliveries so they are met according to plan. In the ideal case, the supply chain becomes a well-greased machine that au- tomatically both draws the input information from the project team and delivers the products without excessive involvement of the project manager. For example, in large-scale construction projects, project teams daily must face and satisfy an enormous number of supplier demands. The entire discipline of supply chain management is predicated on the ability to streamline logistics processes by effectively managing the project’s supply chain.12 When this process fails or is disrupted the consequences can be severe, as in the case of the catastrophic tsunami that struck the northeastern coast of Japan in March 2011, The supply chains and product develop- ment capabilities of Japanese corporations were badly damaged. Economists estimate that the natural disaster cost the country’s economy over $300 billion. Further, numerous corporations (both Japanese companies and those that are their supply chain partners) were affected by the disaster. Japan manufactures 20% of the world’s semiconductor products, leading to serious shortages and delivery delays for companies such as Intel, Toshiba, and Apple.
Intervenor grouPs Environmental, political, social, community-activist, or consumer groups that can have a positive or negative effect on the project’s development and successful launch are referred to as intervenor groups.13 That is, they have the capacity to intervene in the project development and force their concerns to be included in the equation for project imple- mentation. There are some classic examples of intervenor groups curtailing major construction projects, particularly in the nuclear power plant construction industry. As federal, state, and even local regulators decide to involve themselves in these construction projects, intervenors have at their disposal the legal system as a method for tying up or even curtailing projects. For example, while wind farms supply more than half of the electricity needs for the country of Denmark, an alternative energy “wind farm” project being proposed for sites off the coast of Cape Cod, Massachusetts, have encountered strong resistance from local groups opposed to the threat from these farms ruining the local seascape. Litigation has tied this wind farm project up for years and shows no sign of being approved in the near future. Prudent project managers need to make a realistic assessment of the nature of their projects and the likelihood that one intervenor group or another may make an effort to impose its will on the development process.
toP ManageMent In most organizations, top management holds a great deal of control over project managers and is in the position to regulate their freedom of action. Top management is, after all, the body that authorizes the development of the project through giving the initial “go” de- cision, sanctions additional resource transfers as they are needed by the project team, and supports and protects project managers and their teams from other organizational pressures. Top manage- ment requires that the project be timely (they want it out the door quickly), cost-efficient (they do not want to pay more for it than they have to), and minimally disruptive to the rest of the functional organization.
accountIng The accountant’s raison d’être in the organization is maintaining cost efficiency of the project teams. Accountants support and actively monitor project budgets and, as such, are
2.2 Stakeholder Management 45
sometimes perceived as the enemy by project managers. This perception is wrong minded. To be able to manage the project, to make the necessary decisions, and to communicate with the customer, the project manager has to stay on top of the cost of the project at all times. An efficient cost control and reporting mechanism is vital. Accountants perform an important administrative service for the project manager.
FunctIonal Managers Functional managers who occupy line positions within the tradition- al chain of command are an important stakeholder group to acknowledge. Most projects are staffed by individuals who are essentially on loan from their functional departments. In fact, in many cases, project team members may only have part-time appointments to the team; their functional managers may still expect a significant amount of work out of them per week in performing their functional responsibilities. This situation can create a good deal of confusion, conflict, and the need for negotiation between project managers and functional supervisors and lead to seriously divided loyalties among team members, particularly when performance evaluations are conducted by functional managers rather than the project manager. In terms of simple self-survival, team members often maintain closer allegiance to their functional group than to the project team.
Project managers need to appreciate the power of the organization’s functional managers as a stakeholder group. Functional managers are not usually out to discourage project development. Rather, they have loyalty to their functional roles, and they act and use their resources accordingly, within the limits of the company’s structure. Nevertheless, as a formidable stakeholder group, functional managers need to be treated with due consideration by project managers.
Project teaM MeMbers The project team obviously has a tremendous stake in the project’s out- come. Although some may have a divided sense of loyalty between the project and their functional group, in many companies the team members volunteer to serve on projects and, hopefully, receive the kind of challenging work assignments and opportunities for growth that motivate them to perform effectively. Project managers must understand that their project’s success depends on the commitment and productivity of each member of the project team. Thus, team members’ impact on the project is, in many ways, more profound than that of any other stakeholder group.
Managing stakeholders
Project managers and their companies need to recognize the importance of stakeholder groups and proactively manage with their concerns in mind. Block offers a useful framework of the political process that has application to stakeholder management.14 In his framework, Block suggests six steps:
1. Assess the environment. 2. Identify the goals of the principal actors. 3. Assess your own capabilities. 4. Define the problem. 5. Develop solutions. 6. Test and refine the solutions.
assess the envIronMent Is the project relatively low-key or is it potentially so significant that it will likely excite a great deal of attention? For example, when EMC Corporation, a large computer manufacturer, began development of a new line of minicomputers and storage units with the potential for either great profits or serious losses, it took great care to first determine the need for such a product. Going directly to the consumer population with market research was the key to assessing the external environment. Likewise, one of the shapers of autonomous and near-autonomous care technology (driverless cars) has been companies such as Google working closely with consumers to determine their expectations and comfort level with the technology. In testing to date, autonomous vehicles have driven over 700,000 miles with only one accident (which was human-caused). Current projections are that a safe and workable driverless car could be ready for release as early as 2017. Ultimately, it is estimated that over 1 billion automobiles and trucks worldwide and over 450,000 civilian and military aircraft could be affected by this new technology.15
46 Chapter 2 • The Organizational Context
IdentIFy the goals oF the PrIncIPal actors As a first step in fashioning a strategy to defuse negative reaction, a project manager should attempt to paint an accurate portrait of stakehold- er concerns. Fisher and Ury16 have noted that the positions various parties adopt are almost invariably based on need. What, then, are the needs of each significant stakeholder group regarding the project? A recent example will illustrate this point. A small IT firm specializing in network solutions and software development recently contracted with a larger publishing house to develop a simulation for college classroom use. The software firm was willing to negotiate a lower-than-normal price for the job because the publisher suggested that excellent performance on this project would lead to future business. The software organization, inter- ested in follow-up business, accepted the lower fee because its more immediate needs were to gain entry into publishing and develop long-term customer contacts. The publisher needed a low price; the software developer needed new market opportunities.
Project teams must look for hidden agendas in goal assessment. It is common for departments and stakeholder groups to exert a set of overt goals that are relevant, but often illusionary.17 In haste to satisfy these overt or espoused goals, a common mistake is to accept these goals on face value, without looking into the needs that may drive them or create more compelling goals. Consider, for example, a project in a large, project-based manufacturing company to develop a comprehensive proj- ect management scheduling system. The project manager in charge of the installation approached each department head and believed that he had secured their willingness to participate in creating a scheduling system centrally located within the project management division. Problems developed quickly, however, because IT department members, despite their public professions of support, began using every means possible to covertly sabotage the implementation of the system, delaying comple- tion of assignments and refusing to respond to user requests. What was their concern? They believed that placing a computer-generated source of information anywhere but in the IT department threat- ened their position as the sole disseminator of information. In addition to probing the overt goals and concerns of various stakeholders, project managers must look for hidden agendas and other sources of constraint on implementation success.
assess your own caPabIlItIes As Robert Burns said, “Oh wad some Power the giftie gie us/To see oursels as ithers see us!”18 Organizations must consider what they do well. Likewise, what are their weaknesses? Do the project manager and her team have the political savvy and a sufficiently strong bargaining position to gain support from each of the stakeholder groups? If not, do they have connections to someone who can? Each of these questions is an example of the importance of the project team understanding its own capacities and capabilities. For example, not everyone has the contacts to upper management that may be necessary for ensuring a steady flow of support and resources. If you realistically determine that political acumen is not your strong suit, then the solution may be to find someone who has these skills to help you.
deFIne the ProbleM We must seek to define problems both in terms of our own perspective and in consideration of the valid concerns of the other party. The key to developing and maintaining strong stakeholder relationships lies in recognizing that different parties can have very different but equally legitimate perspectives on a problem. When we define problems not just from our viewpoint but also by trying to understand how the same issue may be perceived by stakeholders, we are operating in a “win-win” mode. Further, we must be as precise as possible, staying focused on the specifics of the problem, not generalities. The more accurately and honestly we can define the problem, the better able we will be to create meaningful solution options.
develoP solutIons There are two important points to note about this step. First, developing solutions means precisely that: creating an action plan to address, as much as possible, the needs of the various stakeholder groups in relation to the other stakeholder groups. This step constitutes the stage in which the project manager, together with the team, seeks to manage the political process. What will work in dealing with top management? In implementing that strategy, what reaction is likely to be elicited from the accountant? The client? The project team? Asking these questions helps the project manager develop solutions that acknowledge the interrelationships of each of the relevant stakeholder groups. The topics of power, political behavior, influence, and negotiation will be discussed in greater detail in Chapter 6.
As a second point, it is necessary that we do our political homework prior to developing solutions.19 Note the late stage at which this step is introduced. Project managers can fall into a
2.3 Organizational Structure 47
trap if they attempt to manage a process with only fragmentary or inadequate information. The philosophy of “ready, fire, aim” is sometimes common in stakeholder management. The result is a stage of perpetual firefighting during which the project manager is a virtual pendulum, swinging from crisis to crisis. Pendulums and these project managers share one characteristic: They never reach a goal. The process of putting out one fire always seems to create a new blaze.
test and reFIne the solutIons Implementing the solutions implies acknowledging that the project manager and team are operating under imperfect information. You may assume that stake- holders will react to certain initiatives in predictable ways, but such assumptions can be errone- ous. In testing and refining solutions, the project manager and team should realize that solution implementation is an iterative process. You make your best guesses, test for stakeholder reactions, and reshape your strategies accordingly. Along the way, many of your preconceived notions about the needs and biases of various stakeholder groups must be refined as well. In some cases, you will have made accurate assessments. At other times, your suppositions may have been dangerously naive or disingenuous. Nevertheless, this final step in the stakeholder management process forces the project manager to perform a critical self-assessment. It requires the flexibility to make accurate diagnoses and appropriate midcourse corrections.
When done well, these six steps form an important method for acknowledging the role that stake- holders play in successful project implementation. They allow project managers to approach “political stakeholder management” much as they would any other form of problem solving, recognizing it as a multivariate problem as various stakeholders interact with the project and with one another. Solutions to political stakeholder management can then be richer, more comprehensive, and more accurate.
An alternative, simplified stakeholder management process consists of planning, organizing, directing, motivating, and controlling the resources necessary to deal with the various internal and external stakeholder groups. The various stakeholder management functions are interlocked and repetitive; that is, this stakeholder management process is really best understood as a cycle. As you continually assess the environment, you refine the goals of the principal stakeholders. Likewise, as you assess your own capabilities, define the problems and possible solutions, you are constantly observing the environment to make sure that your proposed solutions are still valid. Finally, in testing and refining these solutions, it is critical to ensure that they will be the optimal alterna- tives, given likely changes in the environment. In the process of developing and implementing your plans, you are likely to uncover new stakeholders whose demands must also be considered. Further, as the environment changes or as the project enters a new stage of its life cycle, you may be required to cycle through the stakeholder management model again to verify that your old man- agement strategies are still effective. If, on the other hand, you deem that new circumstances make it necessary to alter those strategies, you must work through this stakeholder management model anew to update the relevant information.
2.3 organIzatIonal structure
The word structure implies organization. People who work in an organization are grouped so that their efforts can be channeled for maximum efficiency. organizational structure consists of three key elements:20
1. Organizational structure designates formal reporting relationships, including the number of levels in the hierarchy and the span of control of managers and supervisors. Who reports to whom in the structural hierarchy? This is a key component of a firm’s structure. A span of control determines the number of subordinates directly reporting to each supervisor. In some structures, a manager may have a wide span of control, suggesting a large number of subor- dinates, while other structures mandate narrow spans of control and few individuals report- ing directly to any supervisor. For some companies, the reporting relationship may be rigid and bureaucratic; other firms require flexibility and informality across hierarchical levels.
2. Organizational structure identifies the grouping together of individuals into departments and departments into the total organization. How are individuals collected into larger groups? Starting with the smallest, units of a structure continually recombine with other units to create larger groups, or organizations of individuals. These groups, referred to as departments, may be grouped along a variety of different logical patterns. For example, among the most common reasons for
48 Chapter 2 • The Organizational Context
creating departments are (1) function—grouping people performing similar activities into similar departments, (2) product—grouping people working on similar product lines into departments, (3) geography—grouping people within similar geographical regions or physical locations into depart- ments, and (4) project—grouping people involved in the same project into a department. We will discuss some of these more common departmental arrangements in detail later in this chapter.
3. Organizational structure includes the design of systems to ensure effective communication, coordination, and integration of effort across departments. This third feature of organizational structure refers to the supporting mechanisms the firm relies on to reinforce and promote its structure. These supporting mechanisms may be simple or complex. In some firms, a method for ensuring effective communication is simply to mandate, through rules and procedures, the manner in which project team members must communicate with one another and the types of information they must routinely share. Other companies use more sophisticated or complex methods for promoting coordination, such as the creation of special project offices apart from the rest of the company where project team members work for the duration of the project. The key thrust behind this third element in organizational structure implies that simply creating a logical ordering or hierarchy of personnel for an organization is not sufficient unless it is also supported by systems that ensure clear communication and coordination across the departments.
It is also important to note that within the project management context two distinct structures operate simultaneously, and both affect the manner in which the project is accomplished. The first is the overall structure of the organization that is developing the project. This structure consists of the arrangement of all units or interest groups participating in the development of the project; it includes the project team, the client, top management, functional departments, and other relevant stakeholders. The second structure at work is the internal structure of the project team; it specifies the relationship between members of the project team, their roles and responsibilities, and their interaction with the project manager. The majority of this chapter examines the larger structure of the overall organization and how it pertains to project management. The implications of internal project team structure will be discussed here but explored more thoroughly in Chapter 6.
2.4 ForMs oF organIzatIonal structure
Organizations can be structured in an infinite variety of ways, ranging from highly complex to extremely simple. What is important to understand is that typically the structure of an organization does not happen by chance; it is the result of a reasoned response to forces acting on the firm. A num- ber of factors routinely affect the reasons why a company is structured the way it is. Operating envi- ronment is among the most important determinants or factors influencing an organization’s structure. An organization’s external environment consists of all forces or groups outside the organization that have the potential to affect the organization. Some elements in a company’s external environment that can play a significant role in a firm’s activities are competitors, customers in the marketplace, the government and other legal or regulatory bodies, general economic conditions, pools of available human or financial resources, suppliers, technological trends, and so forth. In turn, these organiza- tional structures, often created for very sound reasons in relation to the external environment, have a strong impact on the manner in which projects are best managed within the organization. As we will see, each organizational type offers its own benefits and drawbacks as a context for creating projects.
Some common structural types classify the majority of firms. These structure types include the following:
1. Functional organizations—Companies are structured by grouping people performing similar activities into departments.
2. Project organizations—Companies are structured by grouping people into project teams on temporary assignments.
3. Matrix organizations—Companies are structured by creating a dual hierarchy in which functions and projects have equal prominence.
Functional organizations
The functional structure is probably the most common organizational type used in business today. The logic of the functional structure is to group people and departments performing similar activi- ties into units. In the functional structure, it is common to create departments such as accounting,
2.4 Forms of Organizational Structure 49
Board of Directors
Chief Executive
Vice President of Marketing
Vice President of Finance
Vice President of Research
New Product Development
Testing
Research Labs
Quality
Market Research
Sales
After-Market Support
Advertising
Logistics
Outsourcing
Distribution
Warehousing
Manufacturing
Accounting Services
Contracting
Investments
Employee Benefits
Vice President of Production
FIgure 2.4 example of a functional organizational Structure
marketing, or research and development. Division of labor in the functional structure is not based on the type of product or project supported, but rather according to the type of work performed. In an organization having a functional structure, members routinely work on multiple projects or support multiple product lines simultaneously.
Figure 2.4 shows an example of a functional structure. Among the clear strengths of the functional organization is efficiency; when every accountant is a member of the accounting department, it is possible to more efficiently allocate the group’s services throughout the orga- nization, account for each accountant’s work assignments, and ensure that there is no duplica- tion of effort or unused resources. Another advantage is that it is easier to maintain valuable intellectual capital when all expertise is consolidated under one functional department. When you need an expert on offshore tax implications for globally outsourced projects, you do not have to conduct a firmwide search but can go right to the accounting department to find a resi- dent expert.
The most common weakness in a functional structure from a project management perspec- tive relates to the tendency for employees organized this way to become fixated on their concerns and work assignments to the exclusion of the needs of other departments. This idea has been labeled functional siloing, named for the silos found on farms (see Figure 2.5). Siloing occurs when similar people in a work group are unwilling or unable to consider alternative viewpoints, col- laborate with other groups, or work in cross-functional ways. For example, within Data General Corporation, prior to its acquisition by EMC, squabbles between engineering and sales were con- stant. The sales department complained that its input to new product development was mini- mized as the engineering department routinely took the lead on innovation without meaningful consultation with other departments. Likewise, Robert Lutz, former President of Chrysler, argued that an ongoing weakness at the automobile company was the inability of the various functional departments to cooperate with and recognize the contributions of each other. Another weakness of functional structures is a generally poor responsiveness to external opportunities and threats. Communication channels tend to run up and down the hierarchy, rather than across functional boundaries. This vertical hierarchy can overload, and decision making takes time. Functional structures also may not be very innovative due to the problems inherent in the design. With siloed functional groups typically having a restricted view of the overall organization and its goals, it is difficult to achieve the cross-functional coordination necessary to innovate or respond quickly to market opportunities.
For project management, an additional weakness of the functional structure is that it provides no logical location for a central project management function. Top management may assign a project and delegate various components of that project to specialists within the dif- ferent functional groups. Overall coordination of the project, including combining the efforts of the different functions assigned to perform project tasks, must then occur at a higher, top management level. A serious drawback for running projects in this operating environment is
50 Chapter 2 • The Organizational Context
Vice President of Marketing
Vice President of Research
New Product Development
Testing
Board of Directors
Chief Executive
Research Labs
Quality
Market Research
Sales
After-Market Support
Advertising
Vice President of Production
Logistics
Outsourcing
Distribution
Warehousing
Manufacturing
Vice President of Finance
Accounting Services
Contracting
Investments
Employee Benefits
FIgure 2.5 the Siloing effect found in functional Structures
that they often must be layered, or applied on top of the ongoing duties of members of func- tional groups. The practical effect is that individuals whose main duties remain within their functional group are assigned to staff projects; when employees owe their primary allegiance to their own department, their frame of reference can remain functional. Projects can be tem- porary distractions in this sense, taking time away from “real work.” This can explain some of the behavioral problems that occur in running projects, such as low team member motivation or the need for extended negotiations between project managers and department supervisors for personnel to staff project teams.
Another project-related problem of the functional organization is the fact that it is easy to suboptimize the project’s development.21 When the project is developed as the brainchild of one department, that group’s efforts may be well considered and effective. In contrast, departments not as directly tied to or interested in the project may perform their duties to the minimum pos- sible level. A successful project-based product or service requires the fully coordinated efforts of all functional groups participating in and contributing to the project’s development.
Another problem is that customers are not the primary focus of everyone within the function- ally structured organization. The customer in this environment might be seen as someone else’s problem, particularly among personnel whose duties tend to be supportive. Customer require- ments must be met, and projects must be created with a customer in mind. Any departmental representatives on the project team who have not adopted a “customer-focused” mind-set add to the possibility of the project coming up short.
Summing up the functional structure (see Table 2.2), as it relates to the external environment, the functional structure is well suited to firms with relatively low levels of external uncertainty because their stable environments do not require rapid adaptation or responsiveness. When the environment is relatively predictable, the functional structure works well because it emphasizes efficiency. Unfortunately, project management activities within the functionally organized firm can often be problematic when they are applied in settings for which this structure’s strengths are not well suited. As the above discussion indicates, although there are some ways in which the func- tional structure can be advantageous to managing projects, in the main, it is perhaps the poorest form of structure when it comes to getting the maximum performance out of project management assignments.22
Project organizations
Project organizations are those that are set up with their exclusive focus aimed at running projects. Construction companies, large manufacturers such as Boeing or Airbus, pharmaceutical firms, and many software consulting and research and development organizations are organized as pure
2.4 Forms of Organizational Structure 51
table 2.2 Strengths and Weaknesses of functional Structures
Strengths for Project Management Weaknesses for Project Management
1. Projects are developed within the basic func- tional structure of the organization, requiring no disruption or change to the firm’s design.
1. Functional siloing makes it difficult to achieve cross-functional cooperation.
2. Enables the development of in-depth knowledge and intellectual capital.
2. Lack of customer focus.
3. Allows for standard career paths. Project team members only perform their duties as needed while maintaining maximum connection with their functional group.
3. Projects generally take longer to complete due to structural problems, slower communication, lack of direct ownership of the project, and competing priorities among the functional departments.
4. Projects may be suboptimized due to varying interest or commitment across functional boundaries.
project organizations. Within the project organization, each project is a self-contained business unit with a dedicated project team. The firm assigns resources from functional pools directly to the project for the time period they are needed. In the project organization, the project manager has sole control over the resources the unit uses. The functional departments’ chief role is to coordinate with project managers and ensure that there are sufficient resources available as they need them.
Figure 2.6 illustrates a simple form of the pure project structure. Projects Alpha and Beta have been formed and are staffed by project team members from the company’s functional groups. The project manager is the leader of the project and the staff all report to her. The staffing decisions and duration of employees’ tenure with the project are left to the discretion of the project manager, who is the chief point of authority for the project. As the figure suggests, there are several advan- tages to the use of a pure project structure.
• First, the project manager does not occupy a subordinate role in this structure. All major deci- sions and authority remain under the control of the project manager.
• Second, the functional structure and its potential for siloing or communication problems are bypassed. As a result, communication improves across the organization and within the proj- ect team. Because authority remains with the project manager and the project team, decision making is speeded up. Project decisions can occur quickly, without lengthy delays, as func- tional groups are consulted or allowed to veto project team decisions.
Vice President of Projects
Vice President of Production
Vice President of Marketing
Vice President of Finance
Vice President of Research
Board of Directors
Chief Executive
Project Alpha
Project Beta
FIgure 2.6 example of a Project organizational Structure
52 Chapter 2 • The Organizational Context
table 2.3 Strengths and Weaknesses of Project Structures
Strengths for Project Management Weaknesses for Project Management
1. Assigns authority solely to the project manager.
1. Setting up and maintaining teams can be expensive.
2. Leads to improved communication across the organization and among functional groups.
2. Potential for project team members to develop loyalty to the project rather than to the overall organization.
3. Promotes effective and speedy decision making.
3. Difficult to maintain a pooled supply of intellectual capital.
4. Promotes the creation of cadres of project management experts.
4. Concern among project team members about their future once the project ends.
5. Encourages rapid response to market opportunities.
• Third, this organizational type promotes the expertise of a cadre of project management professionals. Because the focus for operations within the organization is project-based, everyone within the organization understands and operates with the same focus, ensuring that the organization maintains highly competent project management resources.
• Finally, the pure project structure encourages flexibility and rapid response to environmental opportunities. Projects are created, managed, and disbanded routinely; therefore, the abil- ity to create new project teams as needed is common and team formation can be quickly undertaken.
Although there are a number of advantages in creating dedicated project teams using a proj- ect structure (see Table 2.3), this design does have some disadvantages that should be considered.
• First, the process of setting up and maintaining a number of self-contained project teams can be expensive. The different functional groups, rather than controlling their resources, must provide them on a full-time basis to the different projects being undertaken at any point. This can result in forcing the project organization to hire more project specialists (e.g., engineers) than they might need otherwise, with a resulting loss of economies of scale.
• Second, the potential for inefficient use of resources is a key disadvantage of the pure project organization. Organizational staffing may fluctuate up and down as the number of projects in the firm increases or decreases. Hence, it is possible to move from a state in which many projects are running and organizational resources are fully employed to one in which only a few projects are in the pipeline, with many resources underutilized. In short, manpower requirements across the organization can increase or decrease rapidly, making staffing prob- lems severe.
• Third, it is difficult to maintain a supply of technical or intellectual capital, which is one of the advantages of the functional structure. Because resources do not typically reside within the functional structure for long, it is common for them to shift from project to project, prevent- ing the development of a pooled knowledge base. For example, many project organizations hire technically proficient contract employees for various project tasks. These employees may perform their work and, once finished and their contract is terminated, leave the organi- zation, taking their expertise with them. Expertise resides not within the organization, but differentially within the functional members who are assigned to the projects. Hence, some team members may be highly knowledgeable while others are not sufficiently trained and capable.
• A fourth problem with the pure project form has to do with the legitimate concerns of project team members as they anticipate the completion of the project. What, they wonder, will be in their future once their project is completed? As noted above, staffing can be inconsistent, and often project team members finish a project only to discover that they are not needed for new assignments. Functional specialists in project organizations do not have the kind of permanent “home” that they would have in a functional organization, so their concerns are
2.4 Forms of Organizational Structure 53
justified. In a similar manner, it is common in pure project organizations for project team members to identify with the project as their sole source of loyalty. Their emphasis is project- based and their interests reside not with the larger organization, but within their own project. When a project is completed, they may begin searching for new challenges, and may even leave the company for appealing new assignments.
Matrix organizations
One of the more innovative organization designs to emerge in the past 30 years has been the matrix structure. The matrix organization, which is a combination of functional and project activities, seeks a balance between the functional organization and the pure project form. The way it achieves this balance is to emphasize both function and project focuses at the same time. In practical terms, the matrix structure creates a dual hierarchy in which there is a balance of authority between the project emphasis and the firm’s functional departmentalization. Figure 2.7 illustrates how a matrix organization is set up; note that the vice president of projects occupies a unique reporting relation- ship in that the position is not formally part of the organization’s functional department structure. The vice president is the head of the projects division and occupies one side of the dual hierarchy, a position shared with the CEO and heads of functional departments.
Figure 2.7 also provides a look at how the firm staffs project teams. The vice president of projects controls the activities of the project managers under his authority. They, however, must work closely with functional departments to staff their project teams through loans of personnel from each functional group. Whereas in functional organizations project team personnel are still almost exclusively under the control of the functional departments and to some degree serve at the pleasure of their functional boss, in the matrix organizational structure these personnel are shared by both their departments and the project to which they are assigned. They remain under the authority of both the project manager and their functional department supervisor. Notice, for example, that the project manager for Project Alpha has negotiated the use of two resources (personnel) from the vice president of marketing, 1.5 resources from production, and so forth. Each project and project manager is responsible for working with the functional heads to determine the optimal staffing needs, how many people are required to perform necessary project activities, and when they will be available. Questions such as “What tasks must be accomplished on this proj- ect?” are best answered by the project manager. However, other equally important questions, such as “Who will perform the tasks?” and “How long should the tasks take?”, are matters that must be jointly negotiated between the project manager and the functional department head.
Vice President of Projects
Project Alpha
Vice President of Production
Vice President of Marketing
Vice President of Finance
Vice President of Research
Board of Directors
Chief Executive
Project Beta
2 resources
1 resource 2 resources 2 resources 2.5 resources
3 resources1.5 resources 1 resource
FIgure 2.7 example of a Matrix organizational Structure
54 Chapter 2 • The Organizational Context
It is useful to distinguish between three common forms of the matrix structure: the weak matrix (sometimes called the functional matrix), the balanced matrix, and the strong matrix (sometimes referred to as a project matrix). In a weak matrix, functional departments maintain control over their resources and are responsible for managing their components of the project. The project manager’s role is to coordinate the activities of the functional departments, typically as an administrator. She is expected to prepare schedules, update project status, and serve as the link between the depart- ments with their different project deliverables, but she does not have direct authority to control resources or make significant decisions on her own. The goal of the balanced matrix is to equally distribute authority and resource assignment responsibility between the project manager and the functional department head. In a strong matrix, the balance of power has further shifted in favor of the project manager. She now controls most of the project activities and functions, including the assignment and control of project resources, and has key decision-making authority. Although func- tional managers have some input into the assignment of personnel from their departments, their role is mostly consultative. The strong matrix is probably the closest to a “project organization” mentality that we can get while working within a matrix environment.
Creating an organizational structure with two bosses may seem awkward, but there are some important advantages to this approach, provided certain conditions are met. Matrix structures are useful under circumstances in which:23
1. There is pressure to share scarce resources across product or project opportunities. When an organization has scarce human resources and a number of project opportunities, it faces the challenge of using its people and material resources as efficiently as possible to support the maximum number of projects. A matrix structure provides an environment in which the company can emphasize efficient use of resources for the maximum number of projects.
2. There is a need to emphasize two or more different types of output. For example, the firm may need to promote its technical competence (using a functional structure) while continu- ally creating a series of new products (requiring a project structure). With this dual pressure for performance, there is a natural balance in a matrix organization between the functional emphasis on technical competence and efficiency and the project focus on rapid new product development.
3. The environment of the organization is complex and dynamic. When firms face the twin challenges of complexity and rapidly shifting environmental pressures, the matrix structure promotes the exchange of information and coordination across functional boundaries.
In the matrix structure, the goal is to create a simultaneous focus on the need to be quickly responsive to both external opportunities and internal operating efficiencies. In order to achieve this dual focus, equal authority must reside within both the project and the functional groups. One advantage of the matrix structure for managing projects is that it places project management parallel to functional departments in authority. This advantage highlights the enhanced status of the project manager in this structure, who is expected to hold a similar level of power and control over resources as department managers. Another advantage is that the matrix is specifically tailored to encour- age the close coordination between departments, with an emphasis on producing projects quickly and efficiently while sharing resources among projects as they are needed. Unlike the functional structure, in which projects are, in effect, layered over a structure that is not necessarily supportive of their processes, the matrix structure balances the twin demands of external responsiveness and internal efficiency, creating an environment in which projects can be performed expeditiously. Finally, because resources are shared and “movable” among multiple projects, there is a greater likelihood that expertise will not be hoarded or centered on some limited set of personnel, as in the project orga- nization, but will be diffused more widely across the firm.
Among the disadvantages of the matrix structure’s dual hierarchy is the potentially negative effect that creating multiple authority points has on operations. When two parts of the organiza- tion share authority, the workers caught between them can experience great frustration when they receive mixed or conflicting messages from the head of the project group and the head of their functional departments. Suppose that the vice president of projects signaled the need for workers to concentrate their efforts on a critical project with a May 1 deadline. If, at the same time, the head of finance were to tell his staff that with tax season imminent, it was necessary for his employees to ignore projects for the time being to finish tax-related work, what might happen? From the team member’s perspective, this dual hierarchy can be very frustrating. Workers daily experience
2.4 Forms of Organizational Structure 55
a sense of being pulled in multiple directions as they receive conflicting instructions from their bosses—both on projects and in their departments. Consequently, ordinary work often becomes a balancing act based on competing demands for their time.
Another disadvantage is the amount of time and energy required by project managers in meetings, negotiations, and other coordinative functions to get decisions made across multiple groups, often with different agendas. Table 2.4 summarizes the strengths and weaknesses of the matrix structure.
Although matrix structures seem to be a good solution for project management, they require a great deal of time to be spent coordinating the use of human resources. Many project managers com- ment that as part of the matrix, they devote a large proportion of their time to meetings, to resolving or negotiating resource commitments, and to finding ways to share power with department heads. The matrix structure offers some important benefits and drawbacks from the perspective of managing projects. It places project management on an equal footing with functional efficiency and promotes cross-functional coordination. At the same time, however, the dual hierarchy results in some signifi- cant behavioral challenges as authority and control within the organization are constantly in a state of flux.24 A common complaint from project managers operating in matrix organizations is that an enor- mous amount of their time is taken up with “playing politics” and bargaining sessions with functional managers to get the resources and help they need. In a matrix, negotiation skills, political savvy, and networking become vital tools for project managers who want to be successful.
Moving to heavyweight Project organizations
The term heavyweight project organization refers to the belief that organizations can sometimes gain tremendous benefits from creating a fully dedicated project organization.25 The heavyweight project organization concept is based on the notion that successful project organizations do not happen by chance or luck. Measured steps in design and operating philosophy are needed to get to the top and remain there. Taking their formulation from the “Skunkworks” model, named after the famous Lockheed Corporation programs, autonomous project teams represent the final acknowledgment by the firm of the priority of project-based work in the company. In these orga- nizations, the project manager is given full authority, status, and responsibility to ensure project success. Functional departments are either fully subordinated to the projects or the project teams are accorded an independent resource base with which to accomplish their tasks.
In order to achieve the flexibility and responsiveness that the heavyweight organization can offer, it is important to remember some key points. First, no one goes directly to the autonomous team stage when it comes to running projects. This project organizational form represents the last transitional stage in a systematically planned shift in corporate thinking. Instead, managers gradu- ally move to this step through making conscious decisions about how they are going to improve the way they run projects. Successful project firms work to expand the authority of the project manager, often in the face of stiff resistance from functional department heads who like the power balance the way it currently exists. Part of the process of redirecting the power balance involves giving project managers high status, authority to conduct performance evaluations of team mem- bers, authority over project resources, and direct links to the customers. Project managers who are constantly forced to rely on the good graces of functional managers for their team staffing, coor- dination, and financial and other resources are operating with one hand tied behind their backs.
table 2.4 Strengths and Weaknesses of Matrix Structures
Strengths for Project Management Weaknesses for Project Management
1. Suited to dynamic environments. 1. Dual hierarchies mean two bosses.
2. Emphasizes the dual importance of project management and functional efficiency.
2. Requires significant time to be spent negotiating the sharing of critical resources between projects and departments.
3. Promotes coordination across functional units.
3. Can be frustrating for workers caught between com- peting project and functional demands.
4. Maximizes scarce resources between compet- ing project and functional responsibilities.
56 Chapter 2 • The Organizational Context
Second, heavyweight project organizations have realigned their priorities away from func- tional maintenance to market opportunism, a realignment that can occur only when the resources needed to respond rapidly to market opportunities rest with the project team rather than being controlled by higher level bureaucracies within a company. Finally, as noted throughout this book, the shift in focus for many firms toward project-based work profoundly affects the manner in which the project organization, manager, and the team operate. The new focus on the external cus- tomer becomes the driving force for operations, not simply one of several competing demands that the project team must satisfy as best they can.
Ultimately, the decision of which organizational structure is appropriate to use may simply come down to one of expediency; although it may, in fact, be desirable to conduct projects within a structure that offers maximum flexibility and authority to the project manager (the pure project structure), the fact remains that for many project managers it will be impossible to significantly influence decisions to alter the overall organizational structure in support of their project. As a result, perhaps a more appropriate question to ask is: What issues should I be aware of, given the structure of the organization within which I will be managing projects? The previous discussion in this chapter has developed this focus as our primary concern. Given the nature of the structure within which we must operate and manage our projects, what are the strengths and weaknesses of that form as it pertains to our ability to do our job as best we can? In formulating a thoughtful answer to this question, we are perhaps best positioned to understand and adapt most effectively to finding the link between our organization’s structure and project management success.
Box 2.1
Project Management research in Brief
The Impact of Organizational Structure on Project Performance
It is natural to suppose that projects may run more smoothly in some types of organizational structures than in oth- ers. Increasingly, research evidence suggests that depending on the type of project being initiated, some structural forms do, in fact, offer greater advantages in promoting successful completion of the project than others. The work of Gobeli and Larson, for example, is important in highlighting the fact that the type of structure a firm has when it runs projects will have either a beneficial or detrimental effect on the viability of the projects.
Very effective
Effective
Ineffective
Very ineffective
Functional organization
Functional matrix
Balanced matrix
Project matrix
Project organization
New product development
Construction
FIgure 2.8 Managers’ Perceptions of effectiveness of Various Structures on Project Success
Source: D. H. Gobeli and E. W. Larson. (1987). “Relative Effectiveness of Different Project Management Structures,” Project Management Journal, 18(2): 81–85, figure on page 83. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
2.5 Project Management Offices 57
Larson and Gobeli compared projects that had been managed in a variety of structural types, including functional, matrix, and pure project. They differentiated among three subsets of matrix structure, labeled func- tional matrix, balanced matrix, and project matrix, based on their perception of whether the matrix structure of a firm leaned more heavily toward a functional approach, an evenly balanced style, or one more favorable toward projects. After collecting data from a sample of more than 1,600 project managers, they identified those who were conducting projects in each of the five organizational types and asked them to assess the effectiveness of that particular structure in promoting or inhibiting effective project management practices. Their findings are shown in Figure 2.8, highlighting the fact that, in general, project organizations do promote an atmosphere more supportive of successful project management.
Interestingly, when Gobeli and Larson broke their sample up into new product development projects and those related to construction, their findings were largely similar, with the exception that construction projects were marginally more effective in matrix organizations. This suggests that structure plays a significant role in the creation of successful projects.26
2.5 Project ManageMent oFFIces
A project management office (PMO) is defined as a centralized unit within an organization or depart- ment that oversees or improves the management of projects.27 It is seen as a center for excellence in project management in many organizations, existing as a separate organizational entity or subunit that assists the project manager in achieving project goals by providing direct expertise in vital project management duties such as scheduling, resource allocation, monitoring, and controlling the project. PMOs were originally developed in recognition of the poor track record that many organizations have demonstrated in running their projects. We cited some sobering statistics on the failure rates of IT proj- ects, for example, in Chapter 1, indicating that the majority of such projects are likely to fail.
PMOs were created in acknowledgment of the fact that a resource center for project manage- ment within a company can offer tremendous advantages. First, as we have noted, project managers are called upon to engage in a wide range of duties, including everything from attending to the human side of project management to handling important technical details. In many cases, these individuals may not have the time or ability to handle all the myriad technical details—the activity scheduling, resource allocation, monitoring and control processes, and so forth. Using a PMO as a resource center shifts some of the burden for these activities from the project manager to a support staff that is dedi- cated to providing this assistance. Second, it is clear that although project management is emerging as a profession in its own right, there is still a wide gap in knowledge and expectations placed on project managers and their teams. Simply put, they may not have the skills or knowledge for handling a num- ber of project support activities, such as resource leveling or variance reporting. Having trained proj- ect management professionals available through a PMO creates a “clearinghouse” effect that allows project teams to tap into expertise when they need it.
Another benefit of the PMO is that it can serve as a central repository of all lessons learned, project documentation, and other pertinent record keeping for ongoing projects, as well as for past projects. This function allows all project managers a central access to past project records and lessons learned materials, rather than having to engage in a haphazard search for these documents through- out the organization. A fourth benefit of the PMO is that it serves as the dedicated center for project management excellence in the company. As such, it becomes the focus for all project management pro- cess improvements that are then diffused to other organizational units. Thus, the PMO becomes the place in which new project management improvements are first identified, tested, refined, and finally, passed along to the rest of the organization. Each project manager can use the PMO as a resource, trusting that they will make themselves responsible for all project management innovations.
A PMO can be placed in any one of several locations within a firm.28 As Figure 2.9 demon- strates, the PMO may be situated at a corporate level (Level 3) where it serves an overall corporate support function. It can be placed at a lower functional level (Level 2) where it serves the needs within a specific business unit. Finally, the PMO can be decentralized down to the actual proj- ect level (Level 1) where it offers direct support for each project. The key to understanding the function of the PMO is to recognize that it is designed to support the activities of the project man- ager and staff, not replace the manager or take responsibility for the project. Under these circum- stances, we see that the PMO can take a lot of the pressure off the project manager by handling the
58 Chapter 2 • The Organizational Context
administration duties, leaving the project manager free to focus on the equally important people issues, including leading, negotiating, customer relationship building, and so forth.
Although Figure 2.9 gives us a sense of where PMOs may be positioned in the organization and, by extension, clues to their supporting role depending on how they are structured, it is also helpful to consider some of the PMO models. PMOs have been described as operating under one of three alternative forms and purposes in companies: (1) weather station, (2) control tower, and (3) resource pool.29 Each of these models has an alternative role for the PMO.
1. Weather station—Under the weather station model, the PMO is typically used only as a tracking and monitoring device. In this approach, the assumption is often one in which top management, feeling nervous about committing money to a wide range of projects, wants a weather station as a tracking device, to keep an eye on the status of the projects without directly attempting to influence or control them. The weather station PMO is intended to house independent observers who focus almost exclusively on some key questions, such as: • What’s our progress? How is the project progressing against the original plan? What key
milestones have we achieved? • How much have we paid for the project so far? How do our earned value projections look?
Are there any budgetary warning signals? • What is the status of major project risks? Have we updated our contingency planning as
needed? 2. Control tower—The control tower model treats project management as a business skill to
be protected and supported. It focuses on developing methods for continually improving project management skills by identifying what is working, where the shortcomings exist, and how to resolve ongoing problems. Most importantly, unlike the weather station model, which monitors project management activities only to report results to top management, the control tower is a model that is intended to directly work with and support the activities of the project manager and team. In doing so, it performs four functions: • Establishes standards for managing projects—The control tower model of the PMO is
designed to create a uniform methodology for all project management activities, including duration estimation, budgets, risk management, scope development, and so forth.
PO Level 3
PO Level 2
Level 1
Project A
Project B
PO Project C
Business Unit Corporate Support
Chief Operating Officer
Sales Delivery Support
PO
PO
FIgure 2.9 Alternative levels of Project offices
Source: W. Casey and W. Peck. (2001). “Choosing the Right PMO Setup,” PMNetwork, 15(2): 40–47, figure on page 44. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
2.6 Organizational Culture 59
• Consults on how to follow these standards—In addition to determining the appropriate standards for running projects, the PMO is set up to help project managers meet those stan- dards through providing internal consultants or project management experts throughout the development cycle as their expertise is needed.
• Enforces the standards—Unless there is some process that allows the organization to enforce the project management standards it has developed and disseminated, it will not be taken seriously. The control tower PMO has the authority to enforce the standards it has established, either through rewards for excellent performance or sanctions for refusal to abide by the standard project management principles. For example, the PMO for Accident Fund Insurance Co. of America has full authority to stop projects that it feels are violating accepted practices or failing to bring value to the company.
• Improves the standards—The PMO is always motivated to look for ways to improve the current state of project management procedures. Once a new level of project performance has been created, under a policy of continuous improvement, the PMO should already be exploring how to make good practices better.
3. Resource pool—The goal of the resource pool PMO is to maintain and provide a cadre of trained and skilled project professionals as they are needed. In essence, it becomes a clear- inghouse for continually upgrading the skills of the firm’s project managers. As the company initiates new projects, the affected departments apply to the resource pool PMO for assets to populate the project team. The resource pool PMO is responsible for supplying project managers and other skilled professionals to the company’s projects. In order for this model to be implemented successfully, it is important for the resource pool to be afforded sufficiently high status within the organization that it can bargain on an equal footing with other top managers who need project managers for their projects. Referring back to Figure 2.7, the resource pool model seems to work best when the PMO is generally viewed as a Level 3 support structure, giving the head of the PMO the status to maintain control of the pool of trained project managers and the authority to assign them as deemed appropriate.
The PMO concept is rapidly being assimilated in a number of companies. However, it has some critics. For example, some critics contend that it is a mistake to “place all the eggs in one basket” with PMOs by concentrating all project professionals in one location. This argument suggests that PMOs actually inhibit the natural, unofficial dissemination of project skills across organizational units by maintaining them at one central location. Another potential pitfall is that the PMO, if its philosophy is not carefully explained, can simply become another layer of oversight and bureaucracy within the organization; in effect, rather than freeing up the project team by performing supporting functions, it actually handcuffs the project by requiring additional administrative control. Another potential dan- ger associated with the use of PMOs is that they may serve as a bottleneck for communications flow across the organization,30 particularly between the parent organization and the project’s customer.
Although some of the criticisms of PMOs contain an element of truth, they should not be used to avoid the adoption of a project office under the right circumstances. The PMO is, at its core, recognition that project management skill development must be encouraged and reinforced, that many organizations have great need of standardized project practices, and that a central, support- ing function can serve as a strong source for continuous project skill improvement. Viewed in this light, the PMO concept is likely to gain in popularity in the years to come.
2.6 organIzatIonal culture
The third key contextual variable in how projects are managed effectively is that of organizational culture. So far, we have examined the manner in which a firm’s strategy affects its project manage- ment, and how projects and portfolios are inextricably tied to a company’s vision and serve to operationalize strategic choices. Structure constitutes the second piece of the contextual puzzle, and we have demonstrated how various organizational designs can help or hinder the project management process. Now we turn to the third contextual variable: an organization’s culture and its impact on managing projects.
One of the unique characteristics of organizations is the manner in which each develops its own outlook, operating policies and procedures, patterns of thinking, attitudes, and norms of behavior. These characteristics are often as unique as an individual’s fingerprints or DNA
60 Chapter 2 • The Organizational Context
signature; in the same way, no two organizations, no matter how similar in size, products, operat- ing environment, or profitability, are the same. Each has developed its own unique method for indoctrinating its employees, responding to environmental threats and opportunities, and sup- porting or discouraging operating behaviors. In other settings, such as anthropology, a culture is seen as the collective or shared learning of a group, and it influences how that group is likely to respond in different situations. These ideas are embedded in the concept of organizational culture. One of the original writers on culture defined it as “the solution to external and internal problems that has worked consistently for a group and that is therefore taught to new members as the correct way to perceive, think about, and feel in relation to these problems.”31
Travel around Europe and you will quickly become immersed in a variety of cultures. You will discern the unique cultural characteristics that distinguish nationalities, such as the Finnish and Swedish. Differences in language, social behavior, family organization, and even religious beliefs clearly demonstrate these cultural differences. Even within a country, cultural attitudes and values vary dramatically. The norms, attitudes, and common behaviors of northern and southern Italians lead to differences in dress, speech patterns, and even evening dining times. One of the key elements in courses on international business identifies cultural differences as patterns of unique behavior, so that business travelers or those living in other countries will be able to recognize “appropriate” standards of behavior and cultural attitudes, even though these cultural patterns may be very different from those of the traveler’s country or origin.
For project team members who are called upon to work on projects overseas, or who are linked via the Internet and e-mail to other project team members from different countries, developing an appreciation for cross-border cultural differences is critical. The values and attitudes expressed by these various cultures are strong regulators of individual behavior; they define our belief systems and work dedication, as well as our ability to function on cross-cultural project teams.
Research has begun to actively explore the impact that workplace cultures have on the per- formance of projects and the manner in which individual project team members decide whether or not they will commit to its goals. Consider two contrasting examples the author has witnessed: In one Fortune 500 company, functional department heads for years have responded to all resource requests from project managers by assigning their worst, newest, or lowest-performing personnel to these teams. In effect, they have treated projects as dumping grounds for malcontents or poor performers. In this organization, project teams are commonly referred to as “leper colonies.” It is easy to imagine the response of a member of the firm to the news that he has just been assigned to a new project! On the other hand, I have worked with an IT organization where the unspoken rule is that all departmental personnel are to make themselves available as expert resources when their help is requested by a project manager. The highest priority in the company is project delivery, and all other activities are subordinated to achieving this expectation. It is common, during particu- larly hectic periods, for IT members to work 12-plus hours per day, assisting on 10 or more projects at any time. As one manager put it, “When we are in crunch time, titles and job descriptions don’t mean anything. If it has to get done, we are all responsible—jointly—to make sure it gets done.”
The differences in managing projects at the companies illustrated in these stories are striking, as is the culture that permeates their working environment and approach to project delivery. Our definition of culture can be directly applied in both of these cases to refer to the unwritten rules of behavior, or norms that are used to shape and guide behavior, that are shared by some subset of organizational members, and that are taught to all new members of the company. This definition has some important elements that must be examined in more detail:
• Unwritten—Cultural norms guide the behavior of each member of the organization but are often not written down. In this way, there can be a great difference between the slogans or inspirational posters found on company walls and the real, clearly understood culture that establishes standards of behavior and enforces them for all new company members. For example, Erie Insurance, annually voted one of the best companies to work for, has a strong, supportive culture that emphasizes and rewards positive collaboration between functional groups. Although the policy is not written down, it is widely held, understood by all, and taught to new organization members. When projects require the assistance of personnel from multiple departments, the support is expected to be there.
• Rules of behavior—Cultural norms guide behavior by allowing us a common language for understanding, defining, or explaining phenomena and then providing us with guidelines
2.6 Organizational Culture 61
as to how best to react to these events. These rules of behavior can be very powerful and commonly held: They apply equally to top management and workers on the shop floor. However, because they are unwritten, we may learn them the hard way. For example, if you were newly hired as a project engineer and were working considerably slower or faster than your coworkers, it is likely that one of them would quickly clue you in on an acceptable level of speed that does not make you or anyone else look bad by comparison.
• Held by some subset of the organization—Cultural norms may or may not be companywide. In fact, it is very common to find cultural attitudes differing widely within an organization. For example, blue-collar workers may have a highly antagonistic attitude toward top management; members of the finance department may view the marketing function with hostility and vice versa; and so forth. These “subcultures” reflect the fact that an organization may contain a num- ber of different cultures, operating in different locations or at different levels. Pitney-Bowes, for example, is a maker of postage meters and other office equipment. Its headquarters unit reflects an image of stability, orderliness, and prestige. However, one of its divisions, Pitney-Bowes Credit Corporation (PBCC), headquartered in Shelton, Connecticut, has made a name for itself by purposely adopting an attitude of informality, openness, and fun. Its décor, featuring fake gas lamps, a French café, and Internet surfing booths, has been described as resembling an “indoor theme park.” PBCC has deliberately created a subculture that reflects its own approach to busi- ness, rather than adopting the general corporate vision.32 Another example is the Macintosh project team’s approach to creating a distinct culture at Apple while they were developing this revolutionary system, to the point of being housed in different facilities from the rest of the com- pany and flying a pirate flag from the flagpole!
• Taught to all new members—Cultural attitudes, because they are often unwritten, may not be taught to newcomers in formal ways. New members of an organization pick up the behaviors as they observe others engaging in them. In some organizations, however, all new hires are immersed in a formal indoctrination program to ensure that they understand and appreciate the organization’s culture. The U.S. Marines, for example, take pride in the process of indoctrination and training for all recruits, which develops a collective, committed attitude toward the Marine Corps. Google takes its new indoctrination procedures (“onboarding”) seriously. The company, which onboarded over 7,000 new hires in 2013, has experimented with its orientation procedures to help new employees, called “Nooglers,” make more social connections and get up to speed more quickly. General Electric also sends new employees away for orientation, to be “tattooed with the meatball,” as members of the company refer to the GE logo.
On the other hand, when allowed to get out of control, a culture can quickly become toxic and work against the goals of the organization. For example, the Australian Olympic swim team has historically been one of the strongest competitors at the summer competition and yet, in London in 2012, the team managed to win just one gold medal, a stunningly poor result. An independent review, commissioned in the aftermath of their performance, focused the blame on a failure of leadership and culture on the team. The report cited a “toxic” culture involving “bullying, the mis- use of prescription drugs, and a lack of discipline.” The worst performance in 20 years was directly attributable to a lack of moral authority and discipline among team members.33
how do cultures Form?
When it is possible to view two organizations producing similar products within the context of very individualistic and different cultures, the question of how cultures form gets particularly interesting. General Electric’s Jet Engine Division and Rolls-Royce share many features, includ- ing product lines. Both produce jet engines for the commercial and defense aircraft industries. However, GE prides itself on its competitive, high-pressure culture that rewards aggressiveness and high commitment, but also has a high “burnout” rate among engineers and mid-level manag- ers. Rolls-Royce, on the other hand, represents an example of a much more paternalistic culture that rewards loyalty and long job tenure.
Researchers have examined some of the powerful forces that can influence how a company’s culture emerges. Among the key factors that affect the development of a culture are technology, environment, geographical location, reward systems, rules and procedures, key organizational members, and critical incidents.34
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technology The technology of an organization refers to its conversion process whereby it trans- forms inputs into outputs. For example, the technology of many project organizations is the project development process in which projects are developed to fill a current need or anticipate a future opportunity. The technical means for creating projects can be highly complex and automated or relatively simple and straightforward. Further, the projects may be in the form of products or ser- vices. Research suggests that the type of technology used within a project organization can influ- ence the culture that it promotes. “High-technology” organizations represent an example of how a fast-paced, technologically based culture can permeate through an organization.
envIronMent Organizations operate under distinct environmental pressures. A firm’s environ- ment may be complex and rapidly changing, or it may remain relatively simple and stable. Some firms are global, because their competition is literally worldwide, while other companies focus on regional competition. Regardless of the specific circumstances, a company’s environment affects the culture of the firm. For example, companies with simple and slow-changing environments may develop cultures that reinforce low risk taking, stability, and efficiency. Firms in highly complex environments often develop cultures aimed at promoting rapid response, external scanning for opportunities and threats, and risk taking. In this way, the firm’s operating environment affects the formation of the culture and the behaviors that are considered acceptable within it. For example, a small, regional construction firm specializing in commercial real estate development is likely to have more stable environmental concerns than a Fluor-Daniel or Bechtel, competing for a variety of construction projects on a worldwide basis.
geograPhIcal locatIon Different geographical regions develop their own cultural mores and attitudes. The farther south in Europe one travels, for example, the later the evening meal is typi- cally eaten; in Spain, dinner may commence after 9 pm. Likewise, in the business world, culturally based attitudes often coordinate with the geographical locations of firms or subsidiaries. It can even happen within countries: Xerox Corporation, for example, had tremendous difficulty in try- ing to marry the cultures of its corporate headquarters in Connecticut with the more informal and down-to-earth mentalities of its Palo Alto Research Center (PARC) personnel. Projects at one site were done much differently than those undertaken at another location. It is important not to over- state the effect that geography can play, but it certainly can result in cultural disconnects, particu- larly in cases where organizations have developed a number of dispersed locations, both within and outside of their country of origin.
reward systeMs The types of rewards that a firm offers to employees go a long way toward demonstrating the beliefs and actions its top management truly values, regardless of what official company policies might be. Reward systems support the view that, in effect, a company gets what it pays for. An organization that publicly espouses environmental awareness and customer service but routinely promotes project managers who violate these principles sends a loud message about its real interests. As a result, the culture quickly forms around acts that lead to pollution, dishon- esty, or obfuscation. One has only to look at past business headlines regarding corporate malfea- sance at Enron, WorldCom, Goldman Sachs, or Adelphia Cable Company to see how the culture of those organizations rewarded the type of behavior that ultimately led to accounting fraud, public exposure, and millions of dollars in fines.
rules and Procedures One method for influencing a project management culture is to create a rulebook or system of procedures for employees to clarify acceptable behavior. The idea behind rules and procedures is to signal companywide standards of behavior to new employees. The obvious problem arises when public or formal rules conflict with informal rules of behavior. At Texas Instruments headquarters in Dallas, Texas, a formal rule is that all management staff works a standard 40-hour workweek. However, the informal rule is that each member of the company is really expected to work a 45-hour week, at a minimum, or as one senior manager explained to a newly hired employee, “Here, you work nine hours each day: eight for you and one for TI.” In spite of the potential for disagreements between formal and informal rules, most programs in creating supportive project-based organizations argue that the first step toward improving patterns of behavior is to formally codify expectations in order to alter dysfunctional project cultures. Rules and procedures, thus, represent a good starting point for developing a strong project culture.
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key organIzatIonal MeMbers Key organizational members, including the founder of the or- ganization, have a tremendous impact on the culture that emerges within the company. When the founder is a traditional entrepreneur who encourages free expression or flexibility, this attitude becomes ingrained in the organization’s culture in a powerful way. The founders of Ben and Jerry’s Ice Cream, two proud ex-hippies, created a corporate culture that was unique and expressed their desire to develop a “fun” alternative to basic capitalism. A corporate culture in which senior execu- tives routinely flaunt the rules or act contrary to stated policies demonstrates a culture in which there is one rule for the people at the top and another for everyone else.
crItIcal IncIdents Critical incidents express culture because they demonstrate for all workers exactly what it takes to succeed in an organization. In other words, critical incidents are a public expression of what rules really operate, regardless of what the company formally espouses. Critical incidents usually take the form of stories that are related to others, including new employees, illus- trating the types of actions that are valued. They become part of the company’s lore, either for good or ill. In a recent year, General Electric’s Transportation Systems Division built up a large backlog of orders for locomotives. The company galvanized its production facilities to work overtime to complete this backlog of work. As one member of the union related, “When you see a unit vice president show up on Saturday, put on an environmental suit, and work on the line spray painting locomotives with the rest of the workers, you realize how committed the company was to getting this order completed on time.”
organizational culture and Project Management
What are the implications of an organizational culture on the project management process? Culture can affect project management in at least four ways. First, it affects how departments are expected to interact and support each other in pursuit of project goals. Second, the culture influences the level of employee commitment to the goals of the project on balance with other, potentially com- peting goals. Third, the organizational culture influences project planning processes such as the way work is estimated or how resources are assigned to projects. Finally, the culture affects how managers evaluate the performance of project teams and how they view the outcomes of projects.
• Departmental interaction—Several of the examples cited in this chapter have focused on the importance of developing and maintaining a solid, supportive relationship between functional departments and project teams. In functional and matrix organizations, power either resides directly with department heads or is shared with project managers. In either case, the manner in which these department heads approach their willingness to support projects plays a hugely important role in the success or failure of new project initiatives. Not surprisingly, cultures that favor active cooperation between functional groups and new projects are much more success- ful than those that adopt a disinterested or even adversarial relationship.
• Employee commitment to goals—Projects depend on the commitment and motivation of the personnel assigned to their activities. A culture that promotes employee commitment and, when necessary, self-sacrifice through working extra hours or on multiple tasks is much more successful than a culture in which the unwritten rules seem to imply that, provided you don’t get caught, there is nothing wrong with simply going through the motions. AMEC Corporation, for example, takes its training of employees seriously when it comes to instill- ing a commitment to safety. AMEC is a multinational construction company, headquartered in Canada. With annual revenues of nearly $7 billion and 29,000 employees, AMEC is one of the largest construction firms in the world. It takes its commitment to core values extremely seriously, impressing upon all employees their responsibilities to customers, business part- ners, each other, the company, and the wider social environment. From the moment new people enter the organization, they are made aware of the need to commit to the guiding principles of ethical behavior, fairness, commitment to quality, and safety.35
• Project planning—We will explore the process of activity duration estimation in a later chapter; however, for now it is important just to note that the way in which employees decide to support the project planning processes is critical. Because activity estimation is often an imprecise process, it is common for some project team members to “pad” their estimates to give themselves as much time as possible. These people are often responding to a culture that reinforces the idea that it is better to engage in poor estimation and project planning than to be late with deliverables.
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Conversely, when there is a culture of trust among project team members, they are more inclined to give honest assessments, without fearing that, should they be wrong, they will be punished for our mistakes.
• Performance evaluation—Supportive cultures encourage project team members taking the initiative, even if it means taking risks to boost performance. When a culture sends the signal that the goal of the firm is to create innovative products, it reinforces a project management culture that is aggressive and offers potentially high payoffs (and the occasional significant loss!). As noted earlier, organizations get what they pay for. If the reward systems are posi- tive and reinforce a strong project mentality, they will reap a whirlwind of opportunities. On the other hand, if they tacitly support caution and playing it safe, the project management approaches will equally reflect this principle.
A culture can powerfully affect the manner in which departments within an organization view the process of project management. The culture also influences the manner in which employees commit themselves to the goals of their projects as opposed to other, potentially competing goals. Through symbols, stories, and other signs, companies signal their commitment to project manage- ment. This message is not lost on members of project teams, who take their cues regarding expected performance from supervisors and other cultural artifacts. Visible symbols of a culture that advo- cates cross-functional cooperation will create employees who are prepared and motivated to work in harmony with other groups on project goals. Likewise, when an IT department elevates some of its members to hero status because they routinely went the extra mile to handle system user complaints or problems, the company has sent the message that they are all working toward the same goals and all provide value to the organization’s operations, regardless of their functional background.
To envision how culture can influence the planning and project monitoring processes, suppose that, in your organization, it was clear that those involved in late projects would be severely punished for the schedule slippage. You and your fellow project team members would quickly learn that it is critical to avoid going out on a limb to promise early task completion dates. It is much safer to grossly overestimate the amount of time necessary to complete a task in order to protect yourself. The orga- nizational culture in this case breeds deceit. Likewise, it may be safer in some organizations to delib- erately hide information in cases where a project is running off track, or mislead top management with optimistic and false estimates of project progress. Essentially, the issue is this: Does the corporate culture encourage authentic information and truthful interactions, or is it clear that the safer route is to first protect yourself, regardless of the effect this behavior may have on the success of a project?
Project Profile
electronic Arts and the Power of Strong culture in Design teams
Electronic Arts is one of the top computer gaming companies in the world, known for perennial console and PC best- sellers like Madden NFL, FIFA, Battlefield, Need for Speed, the Sims, and more. In the computer gaming industry, speed to market for new games is critical. Making award-winning games requires a combination of talented designers, graphic artists, programmers, and testers, all working to constantly update best-selling games and introduce new choices for the gaming community. It is a fast-paced environment that thrives on a sense of chaos and disruptive new technologies and ideas. In this setting, the former head of the EA Labels group, Frank Gibeau, has developed a winning formula for game design. He doesn’t believe in large teams for developing games; instead his goal is to preserve each studio’s cul- ture by supporting its existing talent.
Gibeau’s belief is that the best games come from small teams with strong cultures. One of his principles is to limit the size of project teams to promote their commitment to each other and to the quality of the games they design. Gibeau notes that when too many people get involved, there is a law of diminishing returns that sets in, because every- thing becomes too hard to manage – too many people, too many problems. In addition, it’s easier to maintain a unique culture when teams are kept small and allowed to stay in place for an extended time. As a result, EA supports the use of smaller teams over a longer period of time to get the game right. As a result, he is careful to ensure that the different studios don’t over-expand and get too big. Gibeau remains a firm believer in the “small is better” philosophy because it supports dynamic cultures and action-oriented attitudes.
Electronic Arts’ approach to game design is centered on small teams, given the opportunity to work as freely as possible, maintain their distinctive group identities, and thereby promote a strong internal culture. EA executives have recognized that these unique team cultures are critical for encouraging the kind of creativity and commitment to the work that make for technologically advanced games, so necessary for maintaining a competitive edge in a rapidly evolving industry.36
Summary 65
What are some examples of an organization’s culture influencing how project teams actually perform and how outcomes are perceived? One common situation is the phenomenon known as escalation of commitment. It is not uncommon to see this process at work in project organizations. escalation of commitment occurs when, in spite of evidence identifying a project as failing, no longer necessary, or beset by huge technical or other difficulties, organizations continue to support it past the point an objective assessment would suggest that it should be terminated.37 Although there are a number of reasons for escalation of commitment to a failed decision, one important rea- son is the unwillingness of the organization to acknowledge failure or its culture’s working toward blinding key decision makers to the need to take corrective action.
The reverse is also true: In many organizations, projects are managed in an environment in which the culture strongly supports cross-functional cooperation, assigns sufficient resources to enable project managers to schedule aggressively, and creates an atmosphere that makes it pos- sible to develop projects optimally. It is important to recognize that an organization’s culture can be a strong supporter of (as well as an inhibitor to) the firm’s ability to manage effective projects. Because of this impact, organizational culture must be managed, constantly assessed, and, when necessary, changed in ways that promote project management rather than discouraging its effi- cient practice.
The context within which we manage our projects is a key determinant in the likelihood of their success or failure. Three critical contextual factors are the organization’s strategy, structure, and culture. Strategy drives projects; projects operationalize strategy. The two must work together in harmony. The key is maintaining a clear linkage between overall strategy and the firm’s portfo- lio of projects, ensuring that some form of alignment exists among all key elements: vision, objec- tives, strategies, goals, and programs. Further, companies are recognizing that when they adopt a structure that supports projects, they get better results. Likewise, when the cultural ambience of the organization favors project management approaches, they are much more likely to be suc- cessful. Some of these project management approaches are the willingness to take risks, to think creatively, to work closely with other functional departments, and so forth. More and more we are seeing successful project-based organizations recognizing the simple truth that the context in which they are trying to create projects is a critical element in seeing their projects through to com- mercial and technical success.
Summary
1. Understand how effective project management contributes to achieving strategic objectives. This chapter linked projects with corporate strategy. Projects are the “building blocks” of strategy because they serve as the most basic tools by which firms can implement previously formulated objectives and strategies.
2. recognize three components of the corporate strategy model: formulation, implementation, and evaluation. The chapter explored a generic model of corporate strategic management, distinguishing between the three components of strategy formulation, strategy implementation, and strategy evaluation. Each of these compo- nents incorporates a number of subdimensions. For example, strategy formulation includes the stages of:
• Developing a vision and mission. • Performing an internal audit (assessing
strengths and weaknesses). • Performing an external audit (assessing
opportunities and threats).
• Establishing long-term objectives. • Generating, evaluating, and selecting strategies.
Strategy implementation requires the coordi- nation of managerial, technological, financial, and functional assets to reinforce and support strategies. Projects often serve as the means by which strategy implementation is actually realized. Finally, strategy evaluation requires an ability to measure results and provide feedback to all concerned parties.
3. see the importance of identifying critical proj- ect stakeholders and managing them within the context of project development. The chapter addresses a final strategic question: the relation- ship between the firm and its stakeholder groups. Project stakeholders are either internal to the firm (top management, other functional depart- ments, support personnel, internal customers) or external (suppliers, distributors, intervenors, governmental agencies and regulators, and customers). Each of these stakeholder groups must be managed in a systematic manner; the process
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moves from identification to needs assessment, choice of strategy, and routine evaluation and adjustment. Stakeholder management, in con- junction with strategic management, forms the context by which projects are first evaluated and then managed.
4. recognize the strengths and weaknesses of three basic forms of organizational structure and their implications for managing projects. We exam- ined the strengths and weaknesses of three major organizational structure types, including func- tional, project, and matrix structures. The nature of each of the three structural types and their relationship to project management were addressed. The functional structure, while the most common type of organizational form, was shown to be per- haps the least effective type for managing projects due to a variety of limitations. The project structure, in which the organization uses its projects as the primary form of grouping, has several advantages for managing projects, although it has some general disadvantages as well. Finally, the matrix structure, which seeks to balance the authority and activities between projects and functions using a dual hier- archy system, demonstrates its own unique set of strengths and weaknesses for project management practice.
5. Understand how companies can change their structure into a “heavyweight project organiza- tion” structure to facilitate effective project man- agement practices. The movements within many organizations to a stronger customer focus in their project management operations has led to the creation of a heavyweight project organization, in which the project manager is given high levels of authority in order to further the goals of the project. Because customer satisfaction is the goal of these organizations, they rely on their project managers to work toward project success within the frame- work of greater control of project resources and direct contact with clients.
6. identify the characteristics of three forms of proj- ect management office (PMo). Project manage- ment offices (PMOs) are centralized units within an organization or department that oversee or improve the management of projects. There are three predominant types of PMO in organizations. The weather station is typically used only as a tracking and monitoring device. In this approach, the role of the PMO is to keep an eye on the status of the projects without directly attempting to influence or control them. The second form of PMO is the con- trol tower, which treats project management as a business skill to be protected and supported. It focuses on developing methods for continu- ally improving project management skills by
identifying what is working, where the shortcom- ings exist, and methods for resolving ongoing prob- lems. Most importantly, unlike the weather station model, which only monitors project management activities to report results to top management, the control tower is a model that is intended to directly work with and support the activities of the project manager and team. Finally, the resource pool is a PMO intended to maintain and provide a cadre of trained and skilled project professionals as they are needed. It serves as a clearinghouse for continually upgrading the skills of the firm’s project managers. As the company initiates new projects, the affected departments apply to the resource pool PMO for assets to populate the project team.
7. Understand key concepts of corporate culture and how cultures are formed. Another contextual factor, organizational culture, plays an important role in influencing the attitudes and values shared by members of the organization, which, in turn, affects their commitment to project management and its practices. Culture is defined as the unwrit- ten rules of behavior, or the norms that are used to shape and guide behavior, that are shared by some subset of organizational members and are taught to all new members of the company. When the firm has a strong culture that is supportive of project goals, members of the organization are more likely to work collaboratively, minimize departmental loyalties that could take precedence over proj- ect goals, and commit the necessary resources to achieve the objectives of the project.
Organizational cultures are formed as the result of a variety of factors, including technology, environ- ment, geographical location, reward systems, rules and procedures, key organizational members, and critical incidents. Each of these factors can play a role in determining whether the organization’s culture is strong, collaborative, customer-focused, project- oriented, fast-paced, and so forth.
8. recognize the positive effects of a supportive organizational culture on project management practices versus those of a culture that works against project management. Finally, this chapter examined the manner in which supportive cultures can work in favor of project management and ways in which the culture can inhibit project success. One common facet of a “sick” culture is the escalation of a commitment problem, in which key members of the organization continue to increase their support for clearly failing courses of action or problematic projects. The reasons for escalation are numerous, including our prestige is on the line, the conviction that we are close to succeeding, fear of ridicule if we admit to failure, and the culture of the organization in which we operate.
Key Terms
Balanced matrix (p. 54) Culture (p. 60) Escalation of commitment (p. 65) External environment (p. 48) Functional structure (p. 48) Heavyweight project organization (p. 55)
Intervenor groups (p. 42) Matrix organization (p. 53) Matrix structure (p. 53) Objectives (p. 39) Organizational culture (p. 60) Organizational structure (p. 47)
Project management office (p. 57) Project organizations (p. 50 ) Project stakeholders (p. 41) Project structure (p. 51) Resources (p. 53)
Stakeholder analysis (p. 41) Strategic management (p. 39) Strong matrix (p. 54) Technology (p. 62) TOWS matrix (p. 40) Weak matrix (p. 54)
Discussion Questions
2.1 The chapter suggests that a definition of strategic man- agement includes four components: a. Developing a strategic vision and sense of mission b. Formulating, implementing, and evaluating c. Making cross-functional decisions d. Achieving objectives Discuss how each of these four elements is important in un- derstanding the challenge of strategic project management. How do projects serve to allow an organization to realize each of these four components of strategic management?
2.2 Discuss the difference between organizational objectives and strategies.
2.3 Your company is planning to construct a nuclear power plant in Oregon. Why is stakeholder analysis important as a precondition of the decision whether or not to follow through with such a plan? Conduct a stakeholder analysis for a planned upgrade to a successful software product. Who are the key stakeholders?
2.4 Consider a medium-sized company that has decided to begin using project management in a wide variety of its operations. As part of its operational shift, it is going to adopt a project management office somewhere within the organization. Make an argument for the type of PMO it should adopt (weather station, control tower, or resource pool). What are some key decision criteria that will help it determine which model makes the most sense?
2.5 What are some of the key organizational elements that can affect the development and maintenance of a sup- portive organizational culture? As a consultant, what
advice would you give to a functional organization that was seeking to move from an old, adversarial culture, where the various departments actively resisted helping one another, to one that encourages “project thinking” and cross-functional cooperation?
2.6 You are a member of the senior management staff at XYZ Corporation. You have historically been using a functional structure setup with five departments: finance, human re- sources, marketing, production, and engineering. a. Create a drawing of your simplified functional struc-
ture, identifying the five departments. b. Assume you have decided to move to a project struc-
ture. What might be some of the environmental pressures that would contribute to your belief that it is necessary to alter the structure?
c. With the project structure, you have four ongoing proj- ects: stereo equipment, instrumentation and testing equipment, optical scanners, and defense communica- tions. Draw the new structure that creates these four proj- ects as part of the organizational chart.
2.7 Suppose you now want to convert the structure from that in Question 6 to a matrix structure, emphasizing dual commitments to function and project. a. Re-create the structural design to show how the matrix
would look. b. What behavioral problems could you begin to anticipate
through this design? That is, do you see any potential points of friction in the dual hierarchy setup?
CaSe STuDy 2.1 Rolls-Royce Corporation
(continued)
Although the name Rolls-Royce is inextricably linked with its ultra-luxurious automobiles, the modern Rolls- Royce operates in an entirely different competitive en- vironment. A leading manufacturer of power systems for aerospace, marine, and power companies, Rolls’s market is focused on developing jet engines for a variety of uses, both commercial and defense-related.
In this market, the company has two principal competi- tors, General Electric and Pratt & Whitney (owned by United Technologies). There are a limited number of smaller, niche players in the jet engine market, but their impact from a technical and commercial perspective is minor. Rolls, GE, and Pratt & Whitney routinely engage in fierce competition for sales to defense contractors
Case Study 2.1 67
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and the commercial aviation industry. The two main airframe manufacturers, Boeing and Airbus, make continual multimillion-dollar purchase decisions that are vital for the ongoing success of the engine makers. Airbus, a private consortium of several European part- ner companies, has drawn level with Boeing in sales in recent years. Because the cost of a single jet engine, in- cluding spare parts, can run to several million dollars, winning large orders from either defense or commer- cial aircraft builders represents an ongoing challenge for each of the “big three” jet engine manufacturers.
Airlines in developing countries can often be a lucra- tive but risky market for these firms. Because the countries do not maintain high levels of foreign exchange, it is not unknown, for example, for Rolls (or its competitors) to take partial payment in cash with assorted commodities to pay the balance. Hence, a contract with Turkey’s national airline may lead to some monetary payment for Rolls, along with several tons of pistachios or other trade goods! To maintain their sales and service targets, these jet engine makers routinely resort to creative financing, long-term contracts, or asset-based trading deals. Overall, however, the market for jet engines is projected to continue to expand at huge rates. Rolls-Royce projects a 20-year window with a potential market demand of 70,000 engines, valued at over $400 billion in civil aerospace alone. When defense contracts are factored in as well, the revenue projections for jet engine sales are likely to be enormous. As Rolls sees the future, the single biggest market growth opportunity is in the larger, greater thrust engines, designed to be paired with larger jet aircraft.
Rolls-Royce is currently engaged in a strategic decision that offers the potential for huge payoffs or sig- nificant losses as it couples its latest engine technology, the “Trent series,” with Airbus’s decision to develop an ultra-large commercial aircraft for long-distance travel. The new Airbus design, the 380 model, seats more than 550 people, flying long-distance routes (up to 8,000 miles). The Trent 900, with an engine rating of 70,000 pounds thrust per engine, has been created at great expense to see service in the large jet market. The proj- ect reflects a strategic vision shared by both Airbus and Rolls-Royce that the commercial passenger market will triple in the next 20 years. As a result, future opportu- nities will involve larger, more economically viable air- craft. Since 2007, Airbus has delivered a total of 40 A380s to its customers, with 17 in 2010. Their total order book currently sits at 234 aircraft ordered. Collectively, Airbus and Rolls-Royce have taken a large financial gamble that their strategic vision of the future is the correct one.
Questions
1. Who are Rolls’s principal project management stakeholders? How would you design stakeholder management strategies to address their concerns?
2. Given the financial risks inherent in developing a jet engine, make an argument, either pro or con, for Rolls to develop strategic partnerships with other jet engine manufacturers in a manner similar to Airbus’s consortium arrangement. What are the benefits and drawbacks in such an arrangement?
CaSe STuDy 2.2 Classic Case: Paradise Lost—The Xerox Alto38
Imagine the value of cornering the technological market in personal computing. How much would a five-year window of competitive advantage be worth to a company today? It could easily mean billions in revenue, a stellar industry reputation, future earnings ensured—and the list goes on. For Xerox Corporation, however, something strange happened on the way to industry leadership. In 1970, Xerox was uniquely positioned to take advantage of the enormous leaps forward it had made in office au- tomation technology. Yet the company stumbled badly through its own strategic myopia, lack of nerve, structural inadequacies, and poor choices. This is the story of the Xerox Alto, the world’s first personal computer and one of the great “what if?” stories in business history.
The Alto was not so much a step forward as it was a quantum leap. Being in place and operating at the end of 1973, it was the first stand-alone personal computer to combine bit-mapped graphics, a mouse, menu screens,
icons, an Ethernet connection, a laser printer, and word processing software. As a result of the combined efforts of an impressive collection of computer science geniuses headquartered at Xerox’s Palo Alto Research Center (PARC), the Alto was breathtaking in its innovative appeal. It was PARC’s answer to Xerox’s top management command to “hit a home run.” Xerox had profited earlier from just such a home run in the form of the Model 914 photocopier, a technological innovation that provided the impetus to turn Xerox into a billion-dollar company in the 1960s. The Alto represented a similar achievement.
What went wrong? What forces combined to ensure that no more than 2,000 Altos were produced and that none was ever brought to market? (They were used only inside the company and at some university sites.) The answer could lie in the muddled strategic thinking that took place at Xerox while the Alto was in development.
I recently worked with an organization that adopted a mind-set in which it was assumed that the best way to keep project team members working hard was to unilaterally trim their task duration estimates by 20%. Suppose that you were asked to estimate the length of time necessary to write computer code for a particular software product and you determined that it should take about 80 hours. Knowing you were about to present this informa- tion to your supervisor and that she was going to immedi- ately cut the estimate by 20%, what would be your course of action? You would probably first add a “fudge factor” to the estimate in order to protect yourself. The conversation with the boss might go something like this:
Boss “Have you had a chance to estimate that coding sequence yet?”
You Yes, it should take me 100 hours.”
Boss “That’s too long. I can only give you 80 hours, tops.”
You (Theatrical sigh) “Well, if you say so, but I really don’t know how I can pull this off.”
Once you leave the office and shut the door, you turn with a smile and whisper, “Gotcha!”
Questions
1. How does the organization’s culture support this sort of behavior? What pressures does the manager face? What pressures does the subordinate face?
2. Discuss the statement, “If you don’t take my esti- mates seriously, I’m not going to give you serious estimates!” How does this statement apply to this example?
CaSe STuDy 2.3 Project Task Estimation and the Culture of “Gotcha!”
The history of Xerox during this period shows a company that stepped back from technological leader- ship into a form of incrementalism, making it content to follow IBM’s lead in office automation. Incrementalism refers to adopting a gradualist approach that plays it safe, avoiding technological leaps, large risks, and con- sequently the possibility of large returns. In 1974, Xerox decided to launch the Model 800 magnetic tape word processor rather than the Alto because the Model 800 was perceived as the safer bet. During the next five years, a series of ill-timed acquisitions, lawsuits, and reorgani- zations rendered the Alto a casualty of inattention. What division would oversee its development and launch? Whose budget would support it, and PARC in general? By leaving such tough decisions unmade, Xerox wasted valuable time and squandered its technological window of opportunity. Even when clear indications showed that competitor Wang was in line to introduce its own line of office systems, Xerox could not take the step to bring the Alto to market. By 1979, Xerox’s unique opportunity was lost. No longer was the Alto a one-of-a-kind tech- nology, and the company quietly shelved any plans for its commercial introduction.
Perhaps the ultimate irony is this: Here was a company that had made its name through the phenom- enal success of a highly innovative product, the Model 914 photocopier, but it did not know how to handle the opportunities presented by the next phenomenon. The Alto was so advanced that the company seemed unable to comprehend its possibilities. Executives did not have a strategic focus that emphasized a continual
progression of innovation. Instead, they were directed toward remaining neck-and-neck with the competition in an incremental approach. When competitor IBM released a new electric typewriter, Xerox responded in the same incremental way. The organizational structure at Xerox did not allow any one division or key manager to become the champion for new technologies like the Alto.
In 1979 Steven Jobs, president of Apple Computer, was given a tour of the PARC complex and saw an Alto in use. He was so impressed with the machine’s features and operating capabilities that he asked when it was due to be commercially launched. When told that much of this technology had been developed in 1973, Jobs became “physically sick,” he later recounted, at the thought of the opportunity Xerox had forgone.
Questions
1. Do you see a logical contradiction in Xerox’s will- ingness to devote millions of dollars to support pure research sites like PARC and its refusal to commercially introduce the products developed?
2. How did Xerox’s strategic vision work in favor of or against the development of radical new tech- nologies such as the Alto?
3. What other unforeseeable events contributed to making Xerox’s executives unwilling to take any new risks precisely at the time the Alto was ready to be released?
4. “Radical innovation cannot be too radical if we want it to be commercially successful.” Argue ei- ther in favor of or against this statement.
Case Study 2.3 69
70 Chapter 2 • The Organizational Context
Widgets ’R Us (WRU) is a medium-sized firm specializ- ing in the design and manufacturing of quality widgets. The market for widgets has been stable. Historically, WRU has had a functional organization design with four departments: accounting, sales, production, and engineering. This design has served the company well, and it has been able to compete by being the low-priced company in the industry.
In the past three years, the demand for widgets has exploded. New widgets are constantly being developed to feed the public’s seemingly insatiable demand. The average life cycle of a newly released widget is 12–15 months. Unfortunately, WRU is find- ing itself unable to compete successfully in this new, dynamic market. The CEO has noted a number of problems. Products are slow to market. Many new
innovations have passed right by WRU because the company was slow to pick up signs from the mar- ketplace that they were coming. Internal communi- cation is very poor. Lots of information gets kicked “upstairs,” and no one seems to know what hap- pens to it. Department heads constantly blame other department heads for the problems.
Questions
1. You have been called in as a consultant to analyze the operations at WRU. What would you advise?
2. What structural design changes might be under- taken to improve the operations at the company?
3. What are the strengths and weaknesses of the alternative solutions the company could employ?
CaSe STuDy 2.4 Widgets ’R Us
2.1 Wegmans has been consistently voted one of the 100 best com- panies to work for in the United States by Fortune magazine. In fact, in 2005 it was ranked number 1, and in 2012 it was ranked number 4. Go to its Web site, www.wegmans.com, and click on “About Us.” What messages, formal and informal, are being conveyed about Wegmans through its Web site? What does the Web site imply about the culture of the organization?
2.2 Go to the Web site www.projectstakeholder.com and ana- lyze some of the case studies found on the Web site. What do these cases suggest about the importance of assessing stakeholder expectations for a project before it has begun its development process? In other words, what are the risks of waiting to address stakeholder concerns until after a project has begun?
2.3 Go to a corporate Web site of your choice and access the organizational chart. What form of organization does this chart represent: functional, project, matrix, or some other form? Based on our discussion in this chapter, what would be the likely strengths and weaknesses of this organiza- tion’s project management activities?
2.4 Access the corporate Web site for Fluor-Daniel Corporation and examine its “Compliance and Ethics” section at www. fluor.com/sustainability/ethics_compliance/Pages/ default.aspx. What does the “Fluor Code of Business Conduct and Ethics” suggest about the way the company does business? What are the strategic goals and directions that naturally flow from the ethical code? In your opinion, how would the ethics statement influence the manner in which the company manages its projects?
PMP certificAtion sAMPle QUestions
1. What is the main role of the functional manager? a. To control resources b. To manage the project when the project manager
isn’t available c. To define business processes d. To manage the project manager
2. What is the typical role of senior management on a project? a. Support the project b. Pay for it c. Support the project and resolve resource and other
conflicts d. Resolve resource and other conflicts
3. What is an organization that controls project managers, documentation, and policies called?
a. Project management office b. Strong matrix c. Functional d. Pure project
4. A business analyst has a career path that has been very important to her throughout the 10 years of her career. She is put on a project with a strong matrix organiza- tional structure. Which of the following is likely viewed as a negative of being on the project?
a. Being away from the group and on a project that might make it more difficult to get promoted
b. Working with people who have similar skills
Internet exercises
c. Working long hours because the project is a high priority
d. Not being able to take her own certification tests because she is so busy
5. The functional manager is planning the billing system replacement project with the newest project manager at the company. In discussing this project, the functional manager focuses on the cost associated with running the system after it is created and the number of years the system will last before it must be replaced. What best describes what the functional manager is focusing on?
a. Project life cycle b. Product life cycle c. Project management life cycle d. Program management life cycle
Internet Exercises 71
Answers: 1. a—The functional manager runs the day-to-day operations of his department and controls the resources; 2. c—Because senior managers usually outrank the project manager, they can help with resolving any resource or other conflicts as they arise; 3. a—The project management office (PMO) typically has all of these responsibilities; 4. a—Being away from her functional group may cause her to feel that her efforts on behalf of the project are not being recognized by her functional manager, since the project employs a strong matrix structure; 5. b—The functional manager is focusing on the product life cycle, which is developed based on an example of a successful project and encompasses the range of use for the product.
72 Chapter 2 • The Organizational Context
inteGrAteD Project
Building Your Project Plan
exercIse 1—develoPIng the Project narratIve and goals You have been assigned to a project team to develop a new product or service for your organiza- tion. Your challenge is to first decide on the type of product or service you wish to develop. The project choices can be flexible, consisting of options as diverse as construction, new product devel- opment, IT implementation, and so forth.
Develop a project scope write-up on the project you have selected. Your team is expected to cre- ate a project history, complete with an overview of the project, an identifiable goal or goals (including project targets), the general project management approach to be undertaken, and significant proj- ect constraints or potential limiting effects. Additionally, if appropriate, identify any basic resource requirements (i.e., personnel or specialized equipment) needed to complete the project. What is most important at this stage is creating a history or narrative of the project you have come up with, includ- ing a specific statement of purpose or intent (i.e., why the project is being developed, what it is, what niche or opportunity it is aimed to address).
The write-up should fully explain your project concept, constraints, and expectations. It is not necessary to go into minute detail regarding the various subactivities or subcomponents of the project; it is more important to concentrate on the bigger picture for now.
saMPle background analysIs and Project narratIve For abcuPs, Inc. Founded in 1990, ABCups, Inc., owns and operates 10 injection-molding machines that produce plastic drinkware. ABCups’s product line consists of travel mugs, thermal mugs, steins, and sports tumblers. The travel mugs, thermal mugs, and steins come in two sizes: 14 and 22 ounces. The sports tumblers are offered only in the 32-ounce size. All products except the steins have lids. The travel and thermal mugs consist of a liner, body, and lid. The steins and sports tumblers have no lining. There are 15 colors offered, and any combination of colors can be used. The travel and thermal mugs have a liner that needs to be welded to the outer body; subcontractors and screen printers weld the parts together. ABCups does no welding, but it attaches the lid to the mug. ABCups’s customer base consists primarily of distributors and promotional organizations. Annual sales growth has remained steady, averaging 2%–3% each year. Last year’s revenues from sales were $70 million.
current Process ABCups’s current method for producing its product is as follows:
1. Quote job. 2. Receive/process order. 3. Schedule order into production. 4. Mold parts. 5. Issue purchase order to screen printer with product specifications. 6. Ship parts to screen printer for welding and artwork. 7. Receive returned product from screen printer for final assembly and quality control. 8. Ship product to customer.
At current processing levels, the entire process can take from two to four weeks, depending on order size, complexity, and the nature of current production activity.
overvIew oF the Project Because of numerous complaints and quality rejects from customers, ABCups has determined to proactively resolve outstanding quality issues. The firm has determined that by bringing welding and screen printing functions “in-house,” it will be able to address the current quality problems,
Goals targets
1. Meet all project deadlines without jeopardizing customer satis- faction within a one-year project time frame.
Excellent = 0 missed deadlines Good = 1–5 missed deadlines Acceptable = <8 missed deadlines
2. Deplete dependence on subcontracted screen printing by 100% within six months without increasing customer’s price or decreasing product quality.
Excellent = 100% independence Good = 80–99% independence Acceptable = 60–79% independence
3. Perform all process changes without affecting current customer delivery schedules for the one-year project time frame.
Excellent = 0% delivery delays Good = <5% delivery delays Acceptable = 5–10% delivery delays
4. Decrease customer wait time over current wait time within one year without decreasing quality or increasing price.
Excellent = 2/3 decrease in wait time Good = 1/2 decrease in wait time Acceptable = 1/3 decrease in wait time
5. Stay within 10% of capital budget without exceeding 20% within the project baseline schedule.
Excellent = 1% variance Good = 5% variance Acceptable = 10% variance
6. Decrease customer rejections by 25% within one year. Excellent = 45% reduction Good = 35% reduction Acceptable = 25% reduction
Objectives
expand its market, maintain better control over delivery and order output, and be more responsive to customers. The project consists of adding three new processes (welding, screen printing, and improved quality control) to company operations.
ABCups has no experience in or equipment for welding and screen printing. The organization needs to educate itself, investigate leasing or purchasing space and equipment, hire trained workers, and create a transition from subcontractors to in-house operators. The project needs a specified date of completion so that the transition from outsourcing to company production will be smooth and products can be delivered to customers with as little disruption to shipping as possible.
Management’s strategy is to vertically integrate the organization to reduce costs, increase market share, and improve product quality. ABCups is currently experiencing problems with its vendor base, ranging from poor quality to ineffectual scheduling, causing ABCups to miss almost 20% of its customers’ desired ship dates. Maintaining complete control over the product’s development cycle should improve the quality and on-time delivery of ABCups’s product line.
Integrated Project 73
General approach
1. Managerial approach—The equipment will be purchased from outside vendors; however, ABCups’s internal employees will perform the assembly work. Given the type of equipment that is required, outside contractors will not be needed because the company’s facility em- ploys the necessary maintenance staff to set up the equipment and troubleshoot as required, once the initial training has been supplied by the vendor.
2. technical approach—The equipment manufacturers will utilize CAD to design the equip- ment. Initially, the firm will require a bank of parts to be available once the equipment arrives in order to fine-tune the machinery. Fixtures will be designed as required, but will be supplied by the machine manufacturer.
Constraints
1. Budget constraints—This project must ultimately increase profitability for the company. In addition, the project will have a constraining budget. It must be shown that any additional expense for both the conversion and producing finished cups on-site will result in increased profitability.
74 Chapter 2 • The Organizational Context
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23. Daft, R. L. (2001). Organization Theory and Design, 7th ed. Mason, OH: Southwestern; Anderson, C. C., and Fleming, M. M. K. (1990). “Management control in an engineering matrix organization: A project engineer’s perspective,”
Notes
2. limited plant space—ABCups is assuming this conversion does not involve building a new plant or significantly increasing facility size. Space for new machinery, new employees, and storage for dyes and inventory must be created through conversion of existing floor space. If additional floor space is required, leasing or purchasing options will need to be investigated.
3. time—Since this project will require the company to break existing contracts with vendors, any missed milestones or other delays will cause an unacceptable delay to customers. A back- up plan must be in place to avoid losing customers to competitors in case the time frame is not strictly met. The conversion must be undertaken with a comprehensive project schedul- ing system developed and adhered to.
4. safety regulations—The installation and conversion activities must be in accordance with several agencies’ specifications, including but not limited to guidelines from the Occupation- al Safety and Health Administration (OSHA), the insurance carrier, and the financing agency.
5. current orders must be filled on time—All activities must be designed to avoid any delay in current orders. The transition should appear seamless to customers to avoid losing any part of the extant customer base.
Industrial Management, 32(2): 8–13; Ford, R. C., and Randolph, W. A. (1992). “Cross-functional structures: A review and integration of matrix organization and project management,” Journal of Management, 18: 267–94.
24. Larson, E. W., and Gobeli, D. H. (1987). “Matrix manage- ment: Contradictions and insights,” California Management Review, 29(4): 126–37; Larson, E. W., and Gobeli, D. H. (1988). “Organizing for product development projects,” Journal of Product Innovation Management, 5: 180–90; Engwall, M., and Kallqvist, A. S. (2000). “Dynamics of a multi-project matrix: Conflicts and coordination,” Working paper, Chalmers University, www.fenix. chalmers.se/publications/ 2001/pdf/WP%202001- 07.pdf.
25. Wheelwright, S. C., and Clark, K. (1992). “Creating project plans to focus product development,” Harvard Business Review, 70(2): 70–82.
26. Gobeli, D. H., and Larson, E. W. (1987). “Relative effec- tiveness of different project management structures,” Project Management Journal, 18(2): 81–85; Gray, C., Dworatschek, S., Gobeli, D. H., Knoepfel, H., and Larson, E. W. (1990). “International comparison of project orga- nization structures,” International Journal of Project Management, 8: 26–32.
27. Gray, C. F., and Larson, E. W. (2003). Project Management, 2nd ed. Burr Ridge, IL: McGraw-Hill; Dai, C. (2000). The Role of the Project Management Office in Achieving Project Success. PhD Dissertation, George Washington University.
28. Block, T. (1998). “The project office phenomenon,” PMNetwork, 12(3): 25–32; Block, T. (1999). “The seven secrets of a successful project office,” PMNetwork, 13(4): 43–48; Block, T., and Frame, J. D. (1998). The Project Office. Menlo Park, CA: Crisp Publications; Eidsmoe, N. (2000). “The strategic project management office,” PMNetwork, 14(12): 39–46; Kerzner, H. (2003). “Strategic planning for the project office,” Project Management Journal, 34(2): 13–25; Dai, C. X., and Wells, W. G. (2004). “An explora- tion of project management office features and their rela- tionship to project performance,” International Journal of Project Management, 22: 523–32; Aubry, M., Müller, R., Hobbs, B., and Blomquist, T. (2010). “Project manage- ment offices in transition,” International Journal of Project Management, 28(8): 766–78.
29. Casey, W., and Peck, W. (2001). “Choosing the right PMO setup,” PMNetwork, 15(2): 40–47; Gale, S. (2009). “Delivering the goods,” PMNetwork, 23(7): 34–39.
30. Kerzner, H. (2003). Project Management, 8th ed. New York: Wiley; Englund, R. L., and Graham, R. J. (2001). “Implementing a project office for organizational change,” PMNetwork, 15(2): 48–52; Fleming, Q., and Koppelman, J. (1998). “Project teams: The role of the project office,” Cost Engineering, 40: 33–36.
31. Schein, E. (1985). Organizational Culture and Leadership: A Dynamic View. San Francisco, CA: Jossey-Bass, pp. 19–21; Schein, E. H. (1985). “How culture forms, develops and changes,” in Kilmann, R. H., Saxton, M. J., and Serpa, R. (Eds.), Gaining Control of the Corporate Culture. San Francisco, CA: Jossey-Bass, pp. 17–43; Elmes, M., and Wilemon, D. (1989). “Organizational culture and project leader effec- tiveness,” Project Management Journal, 19(4): 54–63.
32. Kirsner, S. (1998, November). “Designed for innovation,” Fast Company, pp. 54, 56; Daft, R. L. (2001). Organization Theory and Design, 7th ed. Mason, OH: Southwestern.
33. “Australian London 2012 Olympic swim team ‘toxic’” (2013, February 19). BBC News Asia,. www.bbc.com/ news/world-asia-21501881.
34. Kilmann, R. H., Saxton, M. J., and Serpa, R. (1985). Gaining Control of the Corporate Culture. San Francisco, CA: Jossey-Bass.
35. “The US must do as GM has done.” (1989). Fortune, 124(2): 70–79.
36. Hillier, B. (2013, July 24), “Gibeau: ‘You get the best games from small teams with strong cultures,’” VG 24/7. www. vg247.com/2013/07/24/gibeau-you-get-the-best-games- from-small-teams-with-strong-cultures/; Takahashi, D. (2013, July 23). “EA exec Frank Gibeau: Betting on next- gen consoles, mobile, and doing right by consumers,” Venture Beat. http://venturebeat.com/2013/07/23/ eas-frank-gibeau-on-interview-part-1.
37. Staw, B. M., and Ross, J. (1987, March–April). “Knowing when to pull the plug,” Harvard Business Review, 65: 68–74.
38. Smith, D. K., and Alexander, R. C. (1988). Fumbling the Future: How Xerox Invented, Then Ignored, the First Personal Computer. New York: Macmillan; Kharbanda, O. P., and Pinto, J. K. (1996). What Made Gertie Galdop? New York: Van Nostrand Reinhold.
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3 ■ ■ ■
Project Selection and Portfolio Management
Chapter Outline Project Profile
Project Selection Procedures: A Cross-Industry Sampler
introduction 3.1 Project Selection 3.2 APProAcheS to Project Screening
And Selection Method One: Checklist Model Method Two: Simplified Scoring Models Limitations of Scoring Models Method Three: The Analytical
Hierarchy Process Method Four: Profile Models
3.3 finAnciAl ModelS Payback Period Net Present Value Discounted Payback Internal Rate of Return Choosing a Project Selection Approach
Project Profile Project Selection and Screening at GE:
The Tollgate Process 3.4 Project Portfolio MAnAgeMent
Objectives and Initiatives Developing a Proactive Portfolio Keys to Successful Project Portfolio
Management Problems in Implementing Portfolio
Management Summary Key Terms Solved Problems Discussion Questions Problems Case Study 3.1 Keflavik Paper Company Case Study 3.2 Project Selection at Nova
Western, Inc. Internet Exercises Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Explain six criteria for a useful project selection/screening model. 2. Understand how to employ checklists and simple scoring models to select projects. 3. Use more sophisticated scoring models, such as the Analytical Hierarchy Process. 4. Learn how to use financial concepts, such as the efficient frontier and risk/return models. 5. Employ financial analyses and options analysis to evaluate the potential for new project
investments. 6. Recognize the challenges that arise in maintaining an optimal project portfolio for an
organization. 7. Understand the three keys to successful project portfolio management.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Portfolio Management (PMBoK sec. 1.4.2)
Project Profile
Project Selection Procedures: A cross-industry Sampler
The art and science of selecting projects is one that organizations take extremely seriously. Firms in a variety of indus- tries have developed highly sophisticated methods for project screening and selection to ensure that the projects they choose to fund offer the best promise of success. As part of this screening process, organizations often evolve their own particular methods, based on technical concerns, available data, and corporate culture and preferences. The following list gives you a sense of the lengths to which some organizations go with project selection:
• Hoechst AG, a pharmaceutical firm, uses a scoring portfolio model with 19 questions in five major categories when rating project opportunities. The five categories include probability of technical success, probability of commercial success, reward to the company, business strategy fit, and strategic leverage (ability of the project to employ and elevate company resources and skills). Within each of these factors are a number of specific questions, which are scored on a 1 to 10 scale by management.
• At German industrial giant Siemens, every business unit in each of the 190 countries in which the company oper- ates uses a system entitled “PM@Siemens” for categorizing projects that employs a two-digit code. Each project is awarded a letter from A to F, indicating its significance to the company, and a number from 0 to 3, indicating its overall risk level. Larger or riskier projects (e.g., an “A0”) require approval from Siemens’s main board in Germany, but many of the lesser projects (e.g., an “F3”) can be approved by local business units. Too many A0s in the portfolio can indicate mounting risks while too many F3 projects may signal a lack of economic value overall.
• The Royal Bank of Canada has developed a scoring model to rate its project opportunities. The criteria for the port- folio scoring include project importance (strategic importance, magnitude of impact, and economic benefits) and ease of doing (cost of development, project complexity, and resource availability). Expected annual expenditure and total project spending are then added to this rank-ordered list to prioritize the project options. Decision rules are used (e.g., projects of low importance that are difficult to execute get a “no-go” rating).
• The Weyerhaeuser corporate research and development (R&D) program has put processes in place to align and prioritize R&D projects. The program has three types of activities: technology assessment (changes in external en- vironment and impact to the company), research (building knowledge bases and competencies in core technical areas), and development (development of specific commercial opportunities). Four key inputs are considered when establishing priorities: significant changes in the external environment; long-term future needs of lead customers; business strategies, priorities, and technology needs; and corporate strategic direction.
• Mobil Chemical uses six categories of projects to determine the right balance of projects that will enter its portfo- lio: (1) cost reductions and process improvements; (2) product improvements, product modifications, and customer satisfaction; (3) new products; (4) new platform projects and fundamental/breakthrough research projects; (5) plant support; and (6) technical support for customers. Senior management reviews all project proposals and determines the division of capital funding across these six project types. One of the key decision variables involves a comparison of “what is” with “what should be.”
• The Texas Department of Transportation identifies several criteria in its project selection process. Infrastructure and building projects are selected by the Texas Transportation Commission based on the following criteria: safety, main- tenance and preservation of the existing system, congestion relief, access and mobility, economic vitality, efficient system management and operations, and any additional transportation goals identified in the statewide long-range transportation plans. These projects must adhere to all department design standards as well as applicable state and federal law and regulations.1
• At 3M’s Traffic Control Materials Division, during project screening and selection, management uses a project vi- ability chart to score project alternatives. As part of the profile and scoring exercise, personnel must address how the project accomplishes strategic project objectives and critical business issues affecting a specific group within the target market. Projected project return on investment is always counterbalanced with riskiness of the project option.
• Exxon Chemical’s management begins evaluating all new project proposals in light of the business unit’s strategy and strategic priorities. Target spending is decided according to the overall project mix portfolio. As the year progresses, all projects are reprioritized using a scoring model. As significant differences between projected and actual spending are uncovered, the top management group makes adjustments for the next year’s portfolio.2
Project Profile 77
78 Chapter 3 • Project Selection and Portfolio Management
IntroductIon
All organizations select projects they decide to pursue from among numerous opportunities. What criteria determine which projects should be supported? Obviously, this is no simple decision. The consequences of poor decisions can be enormously expensive. Recent research suggests that in the realm of information technology (IT), companies squander nearly $100 billion a year on projects that are created but never used by their intended clients. How do we make the most reasonable choices in selecting projects? What kind of information should we collect? Should decisions be based strictly on financial analysis, or should other criteria be considered? In this chapter, we will try to answer such questions as we take a closer look at the process of project selection.
We will examine a number of different approaches for evaluating and selecting potential projects. The various methods for project selection run along a continuum from highly qualita- tive, or judgment-based approaches to those that rely on quantitative analysis. Of course, each approach has its benefits and drawbacks, which must be considered in turn.
We will also discuss a number of issues related to the management of a project portfolio— the set of projects that an organization is considering/undertaking at any given time. For example, Rubbermaid, Inc., routinely undertakes hundreds of new product development projects simul- taneously, always searching for opportunities with strong commercial prospects. When a firm is pursuing multiple projects, the challenges of strategic decision making, resource management, scheduling, and operational control are magnified.
3.1 Project SelectIon
Firms are literally bombarded with opportunities, but no organization enjoys infinite resources with which to pursue every opportunity that presents itself. Choices must be made, and to best ensure that they select the most viable projects, many managers develop priority systems—guidelines for balancing the opportunities and costs entailed by each alternative. The goal is to balance the compet- ing demands of time and advantage.3 The pressures of time and money affect most major decisions, and decisions are usually more successful when they are made in a timely and efficient manner. For example, if your firm’s sales department recognizes a commercial opportunity it can exploit, you need to generate alternative approaches to the project quickly to capitalize on the prospect. Time wasted is generally opportunity lost. On the other hand, you need to be careful: You want to be sure that, at least as far as possible, you are making the best choice among your options. Thus organi- zational decision makers develop guidelines—selection models—that permit them to save time and money while maximizing the likelihood of success.
A number of decision models are available to managers responsible for evaluating and selecting potential projects. As you will see, they run the gamut from qualitative to quantitative and simple to complex. All firms, however, try to develop a screening model (or set of models) that will allow them to make the best choices among alternatives within the usual constraints of time and money.
Suppose you were interested in developing a model that allowed you to effectively screen proj- ect alternatives. How might you ensure that the model was capable of picking potential “winners” from the large set of possible project choices? After much consideration, you decide to narrow the focus for your screening model and create one that will allow you to select only projects that have high potential payoffs. All other issues are ignored in favor of the sole criterion of commercial profit- ability. The question is: Would such a screening model be useful? Souder4 identifies five important issues that managers should consider when evaluating screening models:
1. Realism: An effective model must reflect organizational objectives, including a firm’s strategic goals and mission. Criteria must also be reasonable in light of such constraints on resources as money and personnel. Finally, the model must take into account both commer- cial risks and technical risks, including performance, cost, and time. That is: Will the project work as intended? Can we keep to the original budget or is there a high potential for escalat- ing costs? Is there a strong risk of significant schedule slippage?
2. Capability: A model should be flexible enough to respond to changes in the conditions under which projects are carried out. For example, the model should allow the company to compare different types of projects (long-term versus short-term projects, projects of differ- ent technologies or capabilities, projects with different commercial objectives). It should be
3.1 Project Selection 79
robust enough to accommodate new criteria and constraints, suggesting that the screening model must allow the company to use it as widely as possible in order to cover the greatest possible range of project types.
3. Flexibility: The model should be easily modified if trial applications require changes. It must, for example, allow for adjustments due to changes in exchange rates, tax laws, building codes, and so forth.
4. Ease of use: A model must be simple enough to be used by people in all areas of the organi- zation, both those in specific project roles and those in related functional positions. Further, the screening model that is applied, the choices made for project selection, and the reasons for those choices should be clear and easily understood by organizational members. The model should also be timely: It should generate the screening information rapidly, and peo- ple should be able to assimilate that information without any special training or skills.
5. Cost: The screening model should be cost-effective. A selection approach that is expensive to use in terms of either time or money is likely to have the worst possible effect: causing organizational members to avoid using it because of the excessive cost of employing it. The cost of obtaining selection information and generating optimal results should be low enough to encourage use of the models rather than diminish their applicability.
Let’s add a sixth criterion for a successful selection model:
6. Comparability: The model must be broad enough to be applied to multiple projects. If a model is too narrowly focused, it may be useless in comparing potential projects or foster biases toward some over others. A useful model must support general comparisons of project alternatives.
Project selection models come in two general classes: numeric and nonnumeric.5 numeric models seek to use numbers as inputs for the decision process involved in selecting projects. These values can be derived either objectively or subjectively; that is, we may employ objective, external values (“The bridge’s construction will require 800 cubic yards of cement”) or subjective, internal values (“We will need to hire two code checkers to finish the software development within eight weeks”). Neither of these two input alternatives is necessarily wrong: An expert’s opinion on an issue may be subjective but very accurate. On the other hand, an incorrectly calibrated surveyor’s level can give objective but wrong data. The key is to remember that most selection processes for project screening involve a combination of subjective and objective data assessment and decision making. nonnumeric models, on the other hand, do not employ numbers as decision inputs, rely- ing instead on other data.
Companies spend great amounts of time and effort trying to make the best project selection decisions possible. These decisions are typically made with regard for the overall objectives that the company’s senior management staff have developed and promoted based on their strategic plan. Such objectives can be quite complex and may reflect a number of external factors that can affect a firm’s operations. For example, suppose the new head of Sylvania’s Lighting Division mandated that the strategic objective of the organization was to be sales growth at all costs. Any new project opportunity would be evaluated against this key strategic imperative. Thus, a project offering the potential for opening new markets might be viewed more favorably than a competing project promising a higher potential rate of return.
The list of factors that can be considered when evaluating project alternatives is enormous. Table 3.1 provides only a partial list of the various elements that a company must address, orga- nized into the general categories of risk and commercial factors, internal operating issues, and other factors. Although such a list can be long, in reality the strategic direction emphasized by top management often highlights certain criteria over others. In fact, if we apply Pareto’s 80/20 principle, which states that a few issues (20%) are vital and many (80%) are trivial, it may be fairly argued that, for many projects, less than 20% of all possible decision criteria account for over 80% of the decision about whether to pursue the project.
This being said, we should reflect on two final points regarding the use of any decision- making approach to project selection. First, the most complete model in the world is still only a partial reflection of organizational reality. The potential list of inputs into any project selection decision is literally limitless—so much so, in fact, that we must recognize this truth before explor- ing project selection lest we erroneously assume that it is possible, given enough time and effort, to identify all relevant issues that play a role. Second, embedded in every decision model are both
80 Chapter 3 • Project Selection and Portfolio Management
table 3.1 issues in Project Screening and Selection
1. Risk—Factors that reflect elements of unpredictability to the firm, including: a. Technical risk—risks due to the development of new or untested technologies b. Financial risk—risks from the financial exposure caused by investing in the project c. Safety risk—risks to the well-being of users or developers of the project d. Quality risk—risks to the firm’s goodwill or reputation due to the quality of the completed project e. Legal exposure—potential for lawsuits or legal obligation
2. Commercial—Factors that reflect the market potential of the project, including: a. Expected return on investment b. Payback period c. Potential market share d. Long-term market dominance e. Initial cash outlay f. Ability to generate future business/new markets
3. Internal operating issues—Factors that have an impact on internal operations of the firm, including: a. Need to develop/train employees b. Change in workforce size or composition c. Change in physical environment d. Change in manufacturing or service operations resulting from the project
4. Additional factors, including: a. Patent protection b. Impact on company’s image c. Strategic fit
objective and subjective factors. We may form opinions based on objective data; we also may derive complex decision models from subjective inputs. Acknowledging that there exists a place for both subjective and objective inputs and decisions in any useful screening model is worthwhile.
3.2 aPProacheS to Project ScreenIng and SelectIon
A project screening model that generates useful information for project choices in a timely and useful fashion at an acceptable cost can serve as a valuable tool in helping an organization make optimal choices among numerous alternatives.6 With these criteria in mind, let’s consider some of the more common project selection techniques.
Method one: checklist Model
The simplest method of project screening and selection is developing a checklist, or a list of cri- teria that pertain to our choice of projects, and then applying them to different possible projects. Let’s say, for example, that in our company, the key selection criteria are cost and speed to market. Because of our strategic competitive model and the industry we are in, we favor low-cost projects that can be brought to the marketplace within one year. We would screen each possible project against these two criteria and select the project that best satisfies them. But depending on the type and size of our possible projects, we may have to consider literally dozens of relevant criteria. In deciding among several new product development opportunities, a firm must weigh a variety of issues, including the following:
• Cost of development: What is a reasonable cost estimate? • Potential return on investment: What kind of return can we expect? What is the likely pay-
back period? • Riskiness of the new venture: Does the project entail the need to create new-generation tech-
nology? How risky is the venture in terms of achieving our anticipated specifications? • Stability of the development process: Are both the parent organization and the project team
stable? Can we expect this project to face funding cuts or the loss of key personnel, including senior management sponsors?
• Governmental or stakeholder interference: Is the project subject to levels of governmental oversight that could potentially interfere with its development? Might other stakeholders
3.2 Approaches to Project Screening and Selection 81
oppose the project and attempt to block completion? For example, environmental groups, one of the “intervenor” stakeholders, have a long history of opposing natural resource devel- opment projects and may work in opposition to our project objectives.7
• Product durability and future market potential: Is this project a one-shot opportunity, or could it be the forerunner of future opportunities? A software development firm may, for example, develop an application for a client in hopes that successful performance on this project will lead to future business. On the other hand, the project may be simply a one-time opportunity with little potential for future work with the customer.
This is just a partial list of criteria that may be relevant when we are selecting among proj- ect alternatives. A checklist approach to the evaluation of project opportunities is a fairly simple device for recording opinions and encouraging discussion. Thus, checklists may be best used in a consensus-group setting, as a method for initiating conversation, stimulating discussion and the exchange of opinions, and highlighting the group’s priorities.
exaMPle 3.1 Checklist
Let’s assume that SAP Corporation, a leader in the business applications software industry, is inter- ested in developing a new application package for inventory management and shipping control. It is trying to decide which project to select from a set of four potential alternatives. Based on past commercial experiences, the company feels that the most important selection criteria for its choice are cost, profit potential, time to market, and development risks. Table 3.2 shows a simple checklist model with only four project choices and the four decision criteria. In addition to developing the decision criteria, we create evaluative descriptors that reflect how well the project alternatives correspond to our key selection criteria. We evaluate each criterion (which is rated high, medium, or low) in order to see which project accumulates the highest checks—and thus may be regarded as the optimal choice.
solution
Based on this analysis, Project Gamma is the best alternative in terms of maximizing our key criteria—cost, profit potential, time to market, and development risks.
table 3.2 Simplified checklist Model for Project Selection
Performance on criteria
Project criteria High Medium low
Project Alpha Cost X
Profit potential X
Time to market X
Development risks X
Project Beta Cost X
Profit potential X
Time to market X
Development risks X
Project Gamma Cost X
Profit potential X
Time to market X
Development risks X
Project Delta Cost X
Profit potential X
Time to market X Development risks X
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The flaws in a model such as that shown in Table 3.2 include the subjective nature of the high, medium, and low ratings. These terms are inexact and subject to misinterpretation or misunder- standing. Checklist screening models also fail to resolve trade-off issues. What if our criteria are differentially weighted—that is, what if some criteria are more important than others? How will rela- tive, or weighted, importance affect our final decision? Let’s say, for instance, that we regard time to market as our paramount criterion. Is Project Gamma, which is rated low on this criterion, still “better” than Project Beta or Delta, both of which are rated high on time to market though lower on other, less important criteria? Are we willing to make a trade-off, accepting low time to market in order to get the highest benefits in cost, profit potential, and development risks?
Because the simple checklist model does not deal satisfactorily with such questions, let’s turn next to a more complex screening model in which we distinguish more important from less impor- tant criteria by assigning each criterion a simple weight.
Method two: Simplified Scoring Models
In the simplified scoring model, each criterion is ranked according to its relative importance. Our choice of projects will thus reflect our desire to maximize the impact of certain criteria on our deci- sion. In order to score our simplified checklist, we assign a specific weight to each of our four criteria:
criterion importance Weight
Time to market 3
Profit potential 2
Development risks 2
Cost 1
Now let’s reconsider the decision that we made using the basic checklist approach illustrated in Table 3.2.
exaMPle 3.2 Scoring Models
SAP Corporation is attempting to determine the optimal project to fund using the criterion weight- ing values we developed above. As you can see in Table 3.3, although adding a scoring component to our simple checklist complicates our decision, it also gives us a more precise screening model— one that more closely reflects our desire to emphasize certain criteria over others.
solution
In Table 3.3, the numbers in the column labeled Importance Weight specify the numerical values that we have assigned to each criterion: Time to market always receives a value of 3, profit potential a value of 2, development risk a value of 2, and cost a value of 1. We then assign relative values to each of our four dimensions.
The numbers in the column labeled Score replace the Xs of Table 3.2 with their assigned score values:
High = 3 Medium = 2 Low = 1
In Project Alpha, for example, the High rating given Cost becomes a 3 in Table 3.3 because High is here valued at 3. Likewise, the Medium rating given Time to market in Table 3.2 becomes a 2. But notice what happens when we calculate the numbers in the column labeled Weighted Score. When we multiply the numerical value of Cost (1) by its rating of High (3), we get a Weighted Score of 3. But when we multiply the numerical value of Time to market (3) by its rating of Medium (2), we get a Weighted Score of 6. Once we add the numbers in the Weighted Score column for each project in Table 3.3 and examine the totals, Project Beta (with a total score of 19) is the best alternative, compared to the other options: Project Alpha (with a total score of 13), Project Gamma (with a total score of 18), and Project Delta (with a total score of 16).
3.2 Approaches to Project Screening and Selection 83
table 3.3 Simple Scoring Model
(A) (B) (A) : (B)
Project criteria importance
Weight Score Weighted
Score
Project Alpha
Cost 1 3 3
Profit potential 2 1 2
Development risk 2 1 2
Time to market 3 2 6
total Score 13
Project Beta
Cost 1 2 2
Profit potential 2 2 4
Development risk 2 2 4
Time to market 3 3 9
total Score 19
Project Gamma
Cost 1 3 3
Profit potential 2 3 6
Development risk 2 3 6
Time to market 3 1 3
total Score 18
Project Delta
Cost 1 1 1
Profit potential 2 1 2
Development risk 2 2 4
Time to market 3 3 9
total Score 16
Thus, the simple scoring model consists of the following steps:
• Assign importance weights to each criterion: The first step is to develop logic for differenti- ating among various levels of importance and to devise a system for assigning appropriate weights to each criterion. Relying on collective group judgment may help to validate the rea- sons for determining importance levels. The team may also designate some criteria as “must” items. Safety concerns, for example, may be stipulated as nonnegotiable. In other words, all projects must achieve an acceptable safety level or they will not be considered further.
• Assign score values to each criterion in terms of its rating (High = 3, Medium = 2, Low = 1): The logic of assigning score values is often an issue of scoring sensitivity—of making differences in scores distinct. Some teams, for example, prefer to widen the range of possible values—say, by using a 1-to-7 scale instead of a 1-to-3 scale—in order to ensure a clearer distinc- tion among scores and, therefore, among project choices. Such decisions will vary according to the number of criteria being applied and, perhaps, the team members’ experience with the accuracy of outcomes produced by a given approach to screening and selection.
• Multiply importance weights by scores to arrive at a weighted score for each criterion: The weighted score reflects both the value that the team assigns to each criterion and the ratings that the team gives each criterion for the project.
• Add the weighted scores to arrive at an overall project score: The final score for each project represents the sum of all its weighted criteria.
84 Chapter 3 • Project Selection and Portfolio Management
The pharmaceutical company Hoechst Marion Roussel uses a scoring model for selecting projects that identifies not only five main criteria—reward, business strategy fit, strategic leverage, probability of commercial success, and probability of technical success—but also a number of more specific subcriteria. Each of these 19 subcriteria is scored on a scale of 1 to 10. The score for each criterion is then calculated by averaging the scores for each criterion. The final project score is deter- mined by adding the average score of each of the five subcategories. Hoechst has had great success with this scoring model, both in setting project priorities and in making go/no-go decisions.8
The simple scoring model has some useful advantages as a project selection device. First, it is easy to use in tying critical strategic goals for the company to various project alternatives. In the case of the pharmaceutical company Hoechst, the company has assigned several categories to strategic goals for its project options, including business strategy fit and strategic leverage. These strategic goals become a critical hurdle for all new project alternatives. Second, the simple scoring model is easy to comprehend and use. With a checklist of key criteria, evaluation options (high, medium, and low), and attendant scores, top managers can quickly grasp how to employ this technique.
limitations of Scoring Models
The simple scoring model illustrated here is an abbreviated and unsophisticated version of the weighted-scoring approach. In general, scoring models try to impose some structure on the decision- making process while, at the same time, combining multiple criteria.
Most scoring models, however, share some important limitations. A scale from 1 to 3 may be intuitively appealing and easy to apply and understand, but it is not very accurate. From the perspective of mathematical scaling, it is simply wrong to treat evaluations on such a scale as real numbers that can be multiplied and summed. If 3 means High and 2 means Medium, we know that 3 is better than 2, but we do not know by how much. Furthermore, we cannot assume that the difference between 3 and 2 is the same as the difference between 2 and 1. Thus, in Table 3.3, if the score for Project Alpha is 13 and the score for Project Beta is 19, may we assume that Beta is 46% better than Alpha? Unfortunately, no. Critics of scoring models argue that their ease of use may blind novice users to the false assumptions that sometimes underlie them.
From a managerial perspective, another drawback of scoring models is the fact that they depend on the relevance of the selected criteria and the accuracy of the weight given them. In other words, they do not ensure that there is a reasonable link between the selected and weighted crite- ria and the business objectives that prompted the project in the first place.
For example As a means of selecting projects, the Information Systems steering committee of a large bank has adopted three criteria: contribution to quality, financial performance, and service. The bank’s strategy is focused on customer retention, but the criteria selected by the committee do not reflect this fact. As a result, a project aimed at improving service to potential new markets might score high on service even though it would not serve existing customers (the people whose business the bank wants to retain). Note, too, that the criteria of quality and service may overlap, leading managers to double-count and overestimate the value of some factors.9 Thus, the bank has employed a project selection approach that neither achieves its desired ends nor matches its overall strategic goals.
Method three: the analytical hierarchy Process
The Analytical hierarchy Process (AhP) was developed by Dr. Thomas Saaty10 to address many of the technical and managerial problems frequently associated with decision making through scoring models. An increasingly popular method for effective project selection, the AHP is a four-step process.
StructurIng the hIerarchy of crIterIa The first step consists of constructing a hierarchy of criteria and subcriteria. Let’s assume, for example, that a firm’s IT steering committee has selected three criteria for evaluating project alternatives: (1) financial benefits, (2) contribution to strategy, and (3) contribution to IT infrastructure. The financial benefits criterion, which focuses on the tangible benefits of the project, is further subdivided into long-term and short-term benefits. Contribution to strategy, an intangible factor, is subdivided into three subcriteria: (a) increasing market share for product X, (b) retaining existing customers for product Y, and (c) improving cost management.
3.2 Approaches to Project Screening and Selection 85
Table 3.4 is a representational breakdown of all these criteria. Note that subdividing rele- vant criteria into a meaningful hierarchy gives managers a rational method for sorting among and ordering priorities. Higher-order challenges, such as contribution to strategy, can be broken down into discrete sets of supporting requirements, including market share, customer retention, and cost management, thus building a hierarchy of alternatives that simplifies matters. Because the hierar- chy can reflect the structure of organizational strategy and critical success factors, it also provides a way to select and justify projects according to their consistency with business objectives.11 This illustrates how we can use meaningful strategic issues and critical factors to establish logic for both the types of selection criteria and their relative weighting.
Recently, a large U.S. company used the AHP to rank more than a hundred project proposals worth millions of dollars. Because the first step in using the AHP is to establish clear criteria for selection, 10 managers from assorted disciplines, including finance, market- ing, management information systems, and operations, spent a full day establishing the hier- archy of criteria. Their challenge was to determine the key success criteria that should be used to guide project selection, particularly as these diverse criteria related to each other (relative weighting). They found that, in addition to clearly defining and developing the criteria for evaluating projects, the process also produced a more coherent and unified vision of organiza- tional strategy.
allocatIng WeIghtS to crIterIa The second step in applying AHP consists of allocating weights to previously developed criteria and, where necessary, splitting overall criterion weight among subcriteria. Mian and Dai12 and others have recommended the so-called pairwise compari- son approach to weighting, in which every criterion is compared with every other criterion. This procedure, argue the researchers, permits more accurate weighting because it allows managers to focus on a series of relatively simple exchanges—namely, two criteria at a time.
The simplified hierarchy in Figure 3.1 shows the breakdown of criterion weights across the same three major criteria that we used in Table 3.4. As Figure 3.1 shows, Finance (that is, financial benefits) received a weighting value of 52%, which was split between Short-term benefits (30%) and Long-term benefits (70%). This configuration means that long-term financial benefits receives an over- all weighting of (0.52) * (0.7) = 36.4%.
table 3.4 Hierarchy of Selection criteria choices
first level Second level
1. Financial benefits 1A: Short-term 1B: Long-term
2. Contribution to strategy 2A: Increasing market share for product X; 2B: Retaining existing customers for product Y; 2C: Improving cost management
3. Contribution to IT infrastructure
Rank Information Systems Project Proposals
Goal (1.000)
Information Technology
(0.140)
Poor
Fair
Good
Very Good
Excellent
Strategy
(0.340)
Market Share
Retention
Cost Mgmt.
Short-term
Long-term
Finance
(0.520)
fIgure 3.1 Sample AHP with rankings for Salient Selection criteria
Source: J. K. Pinto and I. Millet. (1999). Successful Information System Implementation: The Human Side, 2nd ed., figure on page 76. Newtown Square, PA: Project Management Institute. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
86 Chapter 3 • Project Selection and Portfolio Management
The hierarchical allocation of criteria and splitting of weights resolves the problem of dou- ble counting in scoring models. In those models, criteria such as service, quality, and customer satisfaction may be either separate or overlapping factors, depending on the objectives of the organization. As a result, too little or too much weight may be assigned to a given criterion. With AHP, however, these factors are grouped as subcriteria and share the weight of a common higher-level criterion.
aSSIgnIng nuMerIcal ValueS to eValuatIon dIMenSIonS For the third step, once the hierar- chy is established, we can use the pairwise comparison process to assign numerical values to the dimensions of our evaluation scale. Figure 3.2 is an evaluation scale with five dimensions: Poor, Fair, Good, Very Good, and Excellent. In this figure, for purposes of illustration, we have assigned the values of 0.0, 0.10, 0.30, 0.60, and 1.00, respectively, to these dimensions. Naturally, we can change these values as necessary. For example, if a company wants to indicate a greater discrep- ancy between Poor and Fair, managers may increase the range between these two dimensions. By adjusting values to suit specific purposes, managers avoid the fallacy of assuming that the differences between numbers on a scale of, say, 1 to 5 are equal—that is, assuming that the differ- ence between 4 and 5 is the same as the difference between 3 and 4. With the AHP approach, the “best” outcome receives a perfect score of 1.00 and all other values represent some proportion relative to that score.
When necessary, project managers are encouraged to apply different scales for each crite- rion. Note, for example, that Figure 3.2 uses scale points ranging from Poor to Excellent. Suppose, however, that we were interviewing a candidate for our project team and one of the criterion items was “Education level.” Clearly, using a scale ranging from Poor to Excellent makes no sense, so we would adjust the scales to make them meaningful; for example, using levels such as “High School,” “Some College,” “College Graduate,” and so forth. Allocating weights across dimensions gives us a firmer understanding of both our goals and the methods by which we are comparing opportunities to achieve them.
eValuatIng Project ProPoSalS In the final step, we multiply the numeric evaluation of the project by the weights assigned to the evaluation criteria and then add the results for all crite- ria. Figure 3.3 shows how five potential projects might be evaluated by an AHP program offered by Expert Choice, a maker of decision software.13 Here’s how to read the key features of the spreadsheet:
• The second row specifies the value assigned to each of five possible ratings (from Poor = 1 = .000 to Excellent = 5 = 1.000).
• The fourth row specifies the five decision criteria and their relative weights (Finance/Short- Term = .1560, Strategy/Cost Management = .0816, and so forth). (Note that three criteria have been broken down into six subcriteria.)
• The second column lists the five projects (Perfect Project, Aligned, etc.). • The third column labeled “Total” gives a value for each alternative. This number is found by
multiplying each evaluation by the appropriate criterion weight and summing the results across all criteria evaluations.
Nominal
Poor 0.00000 0.000
0.050
1.000
0.500
0.300
0.150
2.00000
1.00000
0.60000
0.30000
0.10000Fair
Excellent
Total
Very Good
Good
Priority Bar Graph
fIgure 3.2 Assigning Numerical Values to labels
Source: J. K. Pinto and I. Millet. (1999). Successful Information System Implementation: The Human Side, 2nd ed., figure on page 77. Newtown Square, PA: Project Management Institute. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
3.2 Approaches to Project Screening and Selection 87
Finance
Poor 1 (.000)
Fair 2 (.100)
Alternatives
1 Perfect Project 1.000 Excellent Excellent Excellent Excellent Excellent Excellent
Excellent
Excellent
Excellent
Excellent
Excellent
Excellent
Excellent
Very Good Very Good Very Good Very Good Very Good Very Good
Very GoodFairPoor
Good
Good
Good
Good
Good
Good
Good
Good
0.762
0.538
0.284
0.600
Aligned
Not Aligned
All Very Good
Mixed
2
3
4
5
6
7
8 9
10
Total
Finance
Short-Term Long-Term
Strategy
Market Share Retention Cost Management
Technology
.1400.0816.1564.1020.3640.1560
Good 3 (.300)
Very Good 4 (.600)
Excellent 5 (1.000)
Short-term
fIgure 3.3 the Project rating Spreadsheet
Source: J. K. Pinto and I. Millet. (1999). Successful Information System Implementation: The Human Side, 2nd ed., figure on page 78. Newtown Square, PA: Project Management Institute. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
To illustrate how the calculations are derived, let us take the Aligned project as an example. Remember that each rating (Excellent, Very Good, Good, etc.) carries with it a numerical score Figure 3.2. These scores, when multiplied by the evaluation criteria and then added together, yield:
(.1560)(.3) + (.3640)(1.0) + (.1020)(.3) + (.1564)(1.0) + (.0816)(.3) + (.1400)(1.0) = .762
The Perfect Project, as another example, was rated Excellent on all six dimensions and thus received a total score of 1.000. Also, compare the evaluations of the Aligned and Not Aligned project choices. Although both projects received an equal number of Excellent and Good rankings, the Aligned proj- ect was clearly preferable because it was rated higher on criteria viewed as more important and thus more heavily weighted.
Unlike the results of typical scoring models, the AHP scores are significant. The Aligned proj- ect, for example, which scored 0.762, is almost three times better than the Mixed project, with its score of 0.284. This feature—the ability to quantify superior project alternatives—allows project managers to use AHP scores as input to other calculations. We might, for example, sort projects by the ratios of AHP scores to total their development costs. Let’s say that based on this ratio, we find that the Not Aligned project is much cheaper to initiate than the Aligned project. This finding may suggest that from a cost/benefit perspective, the Not Aligned project offers a better alternative than the Aligned project.
The AHP methodology can dramatically improve the process of developing project propos- als. In firms that have incorporated AHP analysis, new project proposals must contain, as part of their core information, a sophisticated AHP breakdown listing the proposed project, alternatives, and projected outcomes. The Analytical Hierarchy Process offers a true advantage over traditional scoring models, primarily because it reduces many of the technical and managerial problems that plague such approaches.
The AHP does have some limitations, however. First, current research suggests that the model does not adequately account for “negative utility”; that is, the fact that certain choice options do not contribute positively to the decision goals but actually lead to negative results. For example, suppose that your company identified a strong project option that carried a prohibitively expensive price tag. As a result, selecting this project is really not an option because it would be just too high an investment. However, using the AHP, you would first need to weigh all positive elements, develop your screening score, and then compare this score against negative aspects, such as cost. The result can lead to bias in the project scoring calculations.14 A second limitation is that the AHP requires that all criteria be fully exposed and accounted for at the beginning of the selection process. Powerful members of the orga- nization with political agendas or pet projects they wish to pursue may resist such an open selection process.
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Method four: Profile Models
Profile models allow managers to plot risk/return options for various alternatives and then select the project that maximizes return while staying within a certain range of minimum acceptable risk. “Risk,” of course, is a subjective assessment: It may be difficult to reach overall agreement on the level of risk associated with a given project. Nevertheless, the profile model offers another way of evaluating, screening, and comparing projects.15
Let’s return to our example of project screening at SAP Corporation. Suppose that instead of the four project alternatives for the new software project we discussed earlier, the firm had identi- fied six candidates for development. For simplicity’s sake, managers chose to focus on the two criteria of risk and reward.
In Figure 3.4, the six project alternatives are plotted on a graph showing perceived Risk on the y-axis and potential Return on the x-axis. Because of the cost of capital to the firm, we will specify some minimum desired rate of return. All projects will be assigned some risk factor value and be plotted relative to the maximum risk that the firm is willing to assume. Figure 3.4, therefore, graphi- cally represents each of our six alternatives on a profile model. (Risk values have been created here simply for illustrative purposes.) In our example, SAP can employ a variety of measures to assess the likely return offered by this project, including discounted cash flow analysis and internal rate of return expectations. Likewise, it is increasingly common for firms to quantify their risk assessment of various projects, enabling us to plot them along the y-axis. The key lies in employing identical evaluation criteria and quantification approaches across all projects to be profiled on the graph. Clearly, when project risks are unique or we have no way of comparing the relative risks from proj- ect to project, it is impossible to accurately plot project alternatives.
In Figure 3.4, we see that Project X2 and Project X3 have similar expected rates of return. Project X3, however, represents a better selection choice. Why? Because SAP can achieve the same rate of return with Project X3 as it can with Project X2 but with less risk. Likewise, Project X5 is a superior choice to X4: Although they have similar risk levels, X5 offers greater return as an investment. Finally, while Project X6 offers the most potential return, it does so at the highest level of risk.
The profile model makes use of a concept most widely associated with financial management and investment analysis—the efficient frontier. In project management, the efficient frontier is the set of project portfolio options that offers either a maximum return for every given level of risk or the minimum risk for every level of return.16 When we look at the profile model in Figure 3.4, we note that certain options (X1, X3, X5, X6) lie along an imaginary line balancing optimal risk and return combinations. Others (X2 and X4), however, are less desirable alternatives and would therefore be considered inferior choices. The efficient frontier serves as a decision-making guide by establishing the threshold level of risk/return options that all future project choices must be evaluated against.
R is
k
Return
Maximum Desired Risk
Minimum Desired Return
X6
X2
X4 X5
X3
X1
Efficient Frontier
fIgure 3.4 Profile Model
3.2 Approaches to Project Screening and Selection 89
Risk
12
10
8
6
4
2
8%6% 10% 12% 16% 20% 24% 28% 32%
Return
Maximum Allowable Risk
Efficient Frontier
Saturn
Mercury
Minimum Desired Return
X2
X3
X1
X4
fIgure 3.5 efficient frontier for our firm
One advantage of the profile model is that it offers another method by which to compare proj- ect alternatives, this time in terms of the risk/return trade-off. Sometimes it is difficult to evaluate and compare projects on the basis of scoring models or other qualitative approaches. The profile model, however, gives managers a chance to map out potential returns while considering the risk that accompanies each choice. Thus, profile models give us a method for eliminating alternatives that either carry too much risk or promise too little return.
On the other hand, profile models also have disadvantages:
1. They limit decision criteria to just two—risk and return. Although an array of issues, includ- ing safety, quality, and reliability, can come under the heading of “risk,” the approach still necessarily limits the decision maker to a small set of criteria.
2. In order to be evaluated in terms of an efficient frontier, some value must be attached to risk. Expected return is a measure that is naturally given to numerical estimate. But because risk may not be readily quantified, it may be misleading to designate “risk” artificially as a value for comparison among project choices.
exaMPle 3.3 Profile Model
Let’s consider a simple example. Suppose that our company has identified two new project alter- natives and we wish to use risk/return analysis to determine which of the two projects would fit best with our current project portfolio. We assess return in terms of the profit margin we expect to achieve on the projects. Risk is evaluated at our company in terms of four elements: (1) technical risk—the technical challenge of the project, (2) capital risk—the amount invested in the project, (3) safety risk—the risk of accidents or employee safety, and (4) goodwill risk—the risk of losing cus- tomers or diminishing our company’s image. The magnitude of each of these types of risk is deter- mined by applying a “low, medium, high” risk scale where 1 = low, 2 = medium, and 3 = high.
After conducting a review of the likely profitability for both of the projects and evaluating their riskiness, we conclude the following:
risk return Potential
Project Saturn 10 23%
Project Mercury 6 16%
Figure 3.5 shows our firm’s efficient frontier for the current portfolio of projects. How would we evaluate the attractiveness of either Project Saturn or Project Mercury?
90 Chapter 3 • Project Selection and Portfolio Management
solution
When we consider the two choices, Projects Saturn and Mercury, in terms of their projected risk and return, we can chart them on our profile model relative to other projects that we are undertak- ing. Figure 3.5 illustrates the placement of the two new project options. Note that Project Saturn, although within our maximum risk limit, does not perform as well as the other projects in our cur- rent portfolio (it has a higher risk rating for its projected return than other comparable projects). On the other hand, Project Mercury offers us a 16% rate of return for a lower level of risk than the current efficient frontier, suggesting that this project is an attractive option and a better alternative than Project Saturn.
3.3 fInancIal ModelS
Another important series of models rely on financial analysis to make project selection decisions. In this section, we will examine three commonly used financial models: discounted cash flow analy- sis, net present value, and internal rate of return.
Financial models are all predicated on the time value of money principle. The time value of money suggests that money earned today is worth more than money we expect to earn in the future. In other words, $100 that I receive four years from now is worth significantly less to me than if I were to receive that money today. In the simplest example, we can see that putting $100 in a bank account at 3% interest will grow the money at a compounded rate each year. Hence, at the end of year 1, the initial investment will be worth $103. After two years, it will have grown to $106.09, and so on. The principle also works in reverse: To calculate the present value of $100 that I expect to have in the bank in four years’ time, I must first discount the amount by the same interest rate. Hence, assuming an inter- est rate of 3%, I need only invest $88.85 today to yield $100 in four years.
We expect future money to be worth less for two reasons: (1) the impact of inflation, and (2) the inability to invest the money. Inflation, as we know, causes prices to rise and hence erodes con- sumers’ spending power. In 1900, for example, the average house may have cost a few thousand dollars to build. Today housing costs have soared. As a result, if I am to receive $100 in four years, its value will have decreased due to the negative effects of inflation. Further, not having that $100 today means that I cannot invest it and earn a return on my money for the next four years. Money that we cannot invest is money that earns no interest. In real terms, therefore, the present value of money must be discounted by some factor the farther out into the future I expect to receive it. When deciding among nearly identical project alternatives, if Project A will earn our firm $50,000 in two years and Project B will earn our company $50,000 in four years, Project A is the best choice because we will receive the money sooner.
Payback Period
The project payback period is the estimated amount of time that will be necessary to recoup the investment in a project, that is, how long will it take for the project to pay back its initial investment and begin to generate positive cash flow for the company. In determining the pay- back period for a project, we employ a discounted cash flow analysis, based on the principle of the time value of money. The goal of the discounted cash flow (dcf) analysis is to estimate cash outlays and expected cash inflows resulting from investment in a project. All potential costs of development (most of which are contained in the project budget) are assessed and projected prior to the decision to initiate the project. They are then compared with all expected sources of revenue from the project. For example, if the project is a new chemical plant, pro- jected revenue streams will be based on expected capacity, production levels, sales volume, and so forth.
We then apply to this calculation a discount rate based on the firm’s cost of capital. The value of that rate is weighted across each source of capital to which the firm has access (typically, debt and equity markets). In this way we weight the cost of capital, which can be calculated as follows:
Kfirm = (wd)(kd)(1 - t) + (we)(ke)
3.3 Financial Models 91
The weighted cost of capital is the percentage of capital derived from either debt (wd) or equity (we) multiplied by the percentage costs of debt and equity (kd and ke, respectively). (The value t refers to the company’s marginal tax rate: Because interest payments are tax deductible, we calculate the cost of debt after taxes.)
There is a standard formula for payback calculations:
Payback period = investment/annual cash savings
The reciprocal of this formula can be used to calculate the average rate of return for the project. However, note that the above formula only works in simple circumstances when cash flows (or annual cash savings) are the same for each year. So, for example, if we invested $150,000 and would receive $30,000 a year in annual savings, the payback period is straightforward:
Payback period = +150,000/+30,000 = 5 years
On the other hand, when projected cash flows from annual savings are not equal, you must determine at what point the cumulative cash flow becomes positive. Thus:
Cumulative cashflow(CF) = (Initial investment) + CF(year 1) + CF(year 2) + p
Once cost of capital has been calculated, we can set up a table projecting costs and revenue streams that are discounted at the calculated rate. The key is to determine how long it will take the firm to reach the breakeven point on a new project. Breakeven point represents the amount of time neces- sary to recover the initial investment of capital in the project. Shorter paybacks are more desirable than longer paybacks, primarily because the farther we have to project payback into the future, the greater the potential for additional risk.
exaMPle 3.4 Payback Period
Our company wants to determine which of two project alternatives is the more attractive invest- ment opportunity by using a payback period approach. We have calculated the initial investment cost of the two projects and the expected revenues they should generate for us (see Table 3.5). Which project should we invest in?
solution
For our example, the payback for the two projects can be calculated as in Table 3.6. These results suggest that Project A is a superior choice over Project B, based on a shorter projected payback pe- riod (2.857 years versus 4.028 years) and a higher rate of return (35% versus 24.8%).
table 3.5 initial outlay and Projected revenues for two Project options
Project A Project B
revenues outlays revenues outlays
Year 0 $500,000 $500,000 Year 1 $ 50,000 $ 75,000 Year 2 150,000 100,000 Year 3 350,000 150,000 Year 4 600,000 150,000 Year 5 500,000 900,000
92 Chapter 3 • Project Selection and Portfolio Management
table 3.6 comparison of Payback for Projects A and B
Project A Year cash flow cum. cash flow 0 ($500,000) ($ 500,000)
1 50,000 (450,000)
2 150,000 (300,000)
3 350,000 50,000
4 600,000 650,000
5 500,000 1,150,000
Payback = 2.857 years
Rate of Return = 35%
Project B Year cash flow cum. cash flow 0 ($500,000) ($ 500,000)
1 75,000 (425,000)
2 100,000 (325,000)
3 150,000 (175,000)
4 150,000 (25,000)
5 900,000 875,000
Payback = 4.028 years
Rate of Return = 24.8%
net Present Value
The most popular financial decision-making approach in project selection, the net present value (nPv) method, projects the change in the firm’s value if a project is undertaken. Thus a positive NPV indicates that the firm will make money—and its value will rise—as a result of the project. Net present value employs discounted cash flow analysis, discounting future streams of income to estimate the present value of money.
The simplified formula for NPV is as follows:
NPV(project) = I0 + a t
n = 1 Ft/(1 + r + pt)t
where
Ft = net cash flow for period t r = required rate of return I = initial cash investment (cash outlay at time 0) pt = inflation rate during period
The optimal procedure for developing an NPV calculation consists of several steps, including the construction of a table listing the outflows, inflows, discount rate, and discounted cash flows across the relevant time periods. We construct such a table in Example 3.5 (see Table 3.7).
exaMPle 3.5 Net Present Value
Assume that you are considering whether or not to invest in a project that will cost $100,000 in ini- tial investment. Your company requires a rate of return of 10%, and you expect inflation to remain relatively constant at 4%. You anticipate a useful life of four years for the project and have projected future cash flows as follows:
Year 1: $20,000 Year 2: $50,000 Year 3: $50,000 Year 4: $25,000
3.3 Financial Models 93
solution
We know the formula for determining NPV:
NPV = I0 + a t
n = 1 Ft/(1 + r + p)t
We can now construct a simple table to keep a running score on discounted cash flows (both in- flows and outflows) to see if the project is worth its initial investment. We already know that we will need the following categories: Year, Inflows, Outflows, and NPV. We will also need two more categories:
Net flows: the difference between inflows and outflows Discount factor: the reciprocal of the discount rate (1/(1 + r + p)t)
In Table 3.7, if we fill in the Discount Factor column assuming that r = 10% and p = 4%, we can begin work on the NPV. Note that Year 0 means the present time, and Year 1 the first year of operation.
How did we arrive at the Discount Factor for Year 3? Using the formula we set above, we cal- culated the appropriate data:
Discount factor = (1/(1 + .10 + .04)3) = .6749
Now we can supply the data for the Inflows, Outflows, and Net Flow columns. Finally, we complete the table by multiplying the Net Flow amount by the Discount Factor. The
results give us the data for the NPV column of our table. The sum of the discounted cash flows (their net present value) shown in Table 3.8 gives us the NPV of the project. The total is a positive number, indicating that the investment is worthwhile and should be pursued.
table 3.7 running Score on Discounted cash flows
Year inflows outflows Net flow Discount factor NPV
0 $100,000 $(100,000) 1.0000
1 $20,000 20,000 0.8772
2 50,000 50,000 0.7695
3 50,000 50,000 0.6749
4 25,000 25,000 0.5921
table 3.8 Discounted cash flows and NPV (i)
Year inflows outflows Net flow Discount factor NPV
0 $100,000 $(100,000) 1.0000 $(100,000)
1 $20,000 20,000 0.8772 17,544
2 50,000 50,000 0.7695 38,475
3 50,000 50,000 0.6749 33,745
4 25,000 25,000 0.5921 14,803
Total $ 4,567
Net present value is one of the most common project selection methods in use today. Its principal advantage is that it allows firms to link project alternatives to financial performance, better ensuring that the projects a company chooses to invest its resources in are likely to generate profit. Among its disadvantages is the difficulty in using NPV to make accurate long- term predictions. For example, suppose that we were considering investing in a project with
94 Chapter 3 • Project Selection and Portfolio Management
an expectation that it would continue to generate returns during the next 10 years. In choosing whether or not to invest in the project today, we must make some assumptions about future interest rates, inflation, and our required rate of return (rrr) for the next 10 years. In uncer- tain financial or economic times, it can be risky to make long-term investment decisions when discount rates may fluctuate.
discounted Payback
Now that we have considered the time value of money, as shown in the NPV method, we can apply this logic to the simple payback model to create a screening and selection model with a bit more power. Remember that with NPV we use discounted cash flow as our means to decide whether or not to invest in a project opportunity. Now, let’s apply that same principle to the discounted pay- back method. With this method, the time period in which we are interested is the length of time until the sum of the discounted cash flows is equal to the initial investment.
A simple example will illustrate the difference between straight payback and discounted payback methods. Suppose we require a 12.5% return on new investments, and we have a proj- ect opportunity that will cost an initial investment of $30,000 with a promised return per year of $10,000. Under the simple payback model, the initial investment should be paid off in only three years. However, as Table 3.9 demonstrates, when we discount our cash flows at 12.5% and start adding them, it actually takes four years to pay back the initial project investment.
The advantage of the discounted payback method is that it allows us to make a more “intel- ligent” determination of the length of time needed to satisfy the initial project investment. That is, while simple payback is useful for accounting purposes, discounted payback is actually more rep- resentative of the financial realities that all organizations must consider when pursuing projects. The effects of inflation and future investment opportunities matter with individual investment decisions; hence, these factors should also matter when evaluating project opportunities.
Internal rate of return
internal rate of return (irr) is an alternative method for evaluating the expected outlays and income associated with a new project investment opportunity. The IRR method asks the simple question: What rate of return will this project earn? Under this model, the project must meet some required “hurdle” rate applied to all projects under consideration. Without detailing the math- ematics of the process, we will say that IRR is the discount rate that equates the present values of a project’s revenue and expense streams. If a project has a life of time t, the IRR is defined as:
IO = a t
n = 1
ACFt
(1 + IRR)t
where
ACFt = annual after-tax cash flow for time period t IO = initial cash outlay n = project’s expected life IRR = project’s internal rate of return
table 3.9 Discounted Payback Method
Project cash flow* Year Discounted Undiscounted
1 $8,900 $10,000 2 7,900 10,000 3 7,000 10,000 4 6,200 10,000 5 5,500 10,000
Payback Period 4 Years 3 Years
*Cash flows rounded to the nearest $100.
3.3 Financial Models 95
The IRR is found through a straightforward process, although it requires tables representing present value of an annuity in order to determine the project’s rate of return. Alternatively, many pocket calculators can determine IRR quickly. Without tables or access to a calculator, it is neces- sary to employ an iterative process to identify the approximate IRR for the project.
exaMPle 3.6 Internal Rate of Return
Let’s take a simple example. Suppose that a project required an initial cash investment of $5,000 and was expected to generate inflows of $2,500, $2,000, and $2,000 for the next three years. Further, assume that our company’s required rate of return for new projects is 10%. The question is: Is this project worth funding?
solution
Answering this question requires four steps:
1. Pick an arbitrary discount rate and use it to determine the net present value of the stream of cash inflows.
2. Compare the present value of the inflows with the initial investment; if they are equal, you have found the IRR.
3. If the present value is larger (or less than) than the initial investment, select a higher (or lower) discount rate for the computation.
4. Determine the present value of the inflows and compare it with the initial investment. Con- tinue to repeat steps 2–4 until you have determined the IRR.
Using our example, we know:
Cash investment = $5,000 Year 1 inflow = $2,500 Year 2 inflow = $2,000 Year 3 inflow = $2,000 Required rate of return = 10%
step one: try 12%.
Discount factor
Year inflows at 12% NPV
1 $2,500 .893 $2,233 2 2,000 .797 1,594 3 2,000 .712 1,424
Present value of inflows 5,251 Cash investment –5,000 Difference $ 251
decision: Present value difference at 12% is 250.50, which is too high. Try a higher discount rate.
step two: try 15%.
Discount factor Year inflows at 15% NPV
1 $2,500 .870 $2,175 2 2,000 .756 1,512 3 2,000 .658 1,316
Present value of inflows 5,003 Cash investment 5,000 Difference $ 3
decision: Present value difference at 15% is $3, which suggests that 15% is a close approximation of the IRR.
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If the IRR is greater than or equal to the company’s required rate of return, the project is worth funding. In Example 3.6, we found that the IRR is 15% for the project, making it higher than the hurdle rate of 10% and a good candidate for investment. The advantage of using IRR analysis lies in its ability to compare alternative projects from the perspective of expected return on investment (ROI). Projects having higher IRR are generally superior to those having lower IRR.
The IRR method, however, does have some disadvantages. First, it is not the rate of return for a project. In fact, the IRR equals the project’s rate of return only when project-generated cash inflows can be reinvested in new projects at similar rates of return. If the firm can reinvest revenues only on lower-return projects, the “real” return on the project is something less than the calculated IRR. Several other problems with the IRR method make NPV a more robust determinant of project viability:17
• IRR and NPV calculations typically agree (that is, make the same investment recommenda- tions) only when projects are independent of each other. If projects are not mutually exclu- sive, IRR and NPV may rank them differently. The reason is that NPV employs a weighted average cost of capital discount rate that reflects potential reinvestment while IRR does not. Because of this distinction, NPV is generally preferred as a more realistic measure of invest- ment opportunity.
• If cash flows are not normal, IRR may arrive at multiple solutions. For example, if net cash outflows follow a period of net cash inflows, IRR may give conflicting results. If, following the completion of plant construction, it is necessary to invest in land reclamation or other incidental but significant expenses, an IRR calculation may result in multiple return rates, only one of which is correct.
choosing a Project Selection approach
What can we conclude from our discussion of project selection methods? First and foremost, we have learned to focus on the method that we use in making selection decisions. Have we been consistent and objective in considering our alternatives? The author has worked in a consulting and training capacity with a number of firms that have experienced recurrent problems in their project selections (they kept picking losers). Why? One reason was their failure to even attempt objectivity in their selection methods. Proposed projects, often “sacred cows” or the pet ideas of senior managers, were pushed to the head of the line or, worse, financially “tweaked” until they yielded satisfactory conclusions. Team members knew in advance that such projects would fail because the projects had been massaged to the point at which they seemingly optimized the selection criteria. The key to project selection lies in being objective about the process. If you operate according to the “GIGO” principle—garbage in/garbage out—you’ll soon be up to your knees in garbage.
A second conclusion we can draw is that although a wide variety of selection methods exist, certain ones may be more appropriate for specific companies and project circumstances. Some projects require sophisticated financial evidence of their viability. Others may only need to demonstrate no more than an acceptable profile when compared to other options. In other words, any of the previously discussed selection methods may be appropriate under certain situations. Some experts, for example, favor weighted scoring models on the grounds that they offer a more accurate reflection of a firm’s strategic goals without sacrificing long- term effectiveness for short-term financial gains.18 They argue that such important, nonfi- nancial criteria should not be excluded from the decision-making process. In fact, research suggests that although very popular, financial selection models, when used exclusively, do not yield optimal portfolios.19 On the other hand, when they are combined with scoring models into a more comprehensive selection procedure, they can be highly effective. It is also criti- cal to match the types of projects we are selecting from to the appropriate screening method. Is it possible to estimate future return on investment? Potential risk? These issues should be carefully thought through when developing a suitable screening model. Perhaps the key lies
3.3 Financial Models 97
in choosing a selection algorithm broad enough to encompass both financial and nonfinan- cial considerations. Regardless of the approach that a company selects, we can be sure of one thing: Making good project choices is a crucial step in ensuring good project management downstream.
Project Profile
Project Selection and Screening at Ge: the tollgate Process
General Electric has developed a highly sophisticated approach to project screening and selection that the company calls the Tollgate Process. As you can see from Figure 3.6, Tollgate involves a series of seven formal procedural check- points (labeled 100 to 700) established along the project development time line. Therefore, Tollgate is more than just a project selection methodology; it involves controlling the selection and development of the project as it moves through its life cycle. Each stage in this control process is carefully monitored.
Each of the seven Tollgate stages can be broken down into a so-called process map that guides manag- ers and teams in addressing specific necessary elements in the completion of a stage. These elements are the substeps that guide project screening in order to ensure that all projects conform to the same set of internal GE standards.
Figure 3.7 lays out the process flow map that is used to evaluate the progress each project makes at the vari- ous stages to final completion. Note that teams must complete all action substeps at each Tollgate stage. Once they have completed a given stage, a cross-functional management review team provides oversight at a review conference. Approval at this stage permits the team to proceed to the next stage. Rejection means that the team must back up and deal with any issues that the review team feels it has not addressed adequately. For example, suppose that the project fails a technical conformance test during field testing at the system verification stage. The technical failure would re- quire the team to cycle back to the appropriate point to analyze the cause for the field test failure and begin remedial steps to correct it. After a project team has received approval from the review team, it needs the approval of senior management before moving on to the next Tollgate stage. Rejection at this point by senior management often effec- tively kills the project.
New Product Introduction Process Seven Stages
Identify Customer Require- ments
Proposal Negotiation/ Resource Planning
Systems Design
Detailed Design
System Verification
Production/ Release
100 200 300 400 500 600 700
fIgure 3.6 Ge’s tollgate Process Source: Used with permission of General Electric Company.
(continued)
98 Chapter 3 • Project Selection and Portfolio Management
Some critics argue that formalized and sophisticated review processes such as Tollgate add excessive layers of bureaucratic oversight to the project screening process. In fact, the sheer number of actions, steps, checklists, and mana- gerial reviews stipulated by the Tollgate process can add significant delays to projects—a critical concern if a project is needed to address an immediate problem. On the other hand, proponents of such techniques argue that the benefits— standardization across business units, comprehensive step-by-step risk analysis, clear links to top management—more than compensate for potential problems. At GE, the company credits Tollgate with promoting significant improvements in early problem discovery and “real-time” risk management.
Cross-Functional Section Management
Review Team
Senior Leadership Team (SLT)
Senior Mgmt. Review or
CEO Override
Tollgate Review
Tollgate Stage
Project Team
Review, Cost, Schedule, Risk Actions and Plans
Actions, Comments, Direction on Risk Issues, Status, Remedial Actions to Maintain Process Integrity
Approval to Continue Tollgate Process to Next Stage with Risk Mitigation and Action Plans
Checksheets Completed or Risk Issue for Incomplete Items
Risk Management Plans with Risk Score Card and Summary Sheet
Project Team
Reject Stop Work and Inform Customer
Reject
Approval
Approval
Project Team Works Issues Raised During the Review; After Three Rejections the Project Team Must Go to Senior Management for ApprovalProject Team
fIgure 3.7 the Ge tollgate review Process flow Map Source: Used with permission of General Electric Company.
3.4 Project PortfolIo ManageMent
Project portfolio management is the systematic process of selecting, supporting, and man- aging a firm’s collection of projects. According to the Project Management Institute, a company’s project portfolio consists of its projects, programs, subportfolios, and operations managed as a group to achieve strategic objectives.20 Projects are managed concurrently under a single umbrella and may be either related or independent of one another. The key to port- folio management is realizing that a firm’s projects share a common strategic purpose and the same scarce resources.21 For example, Pratt & Whitney Jet Engines, a subsidiary of United Technologies Corporation, is similar to other major jet engine manufacturers in creating a wide portfolio of engine types, from those developed for helicopters to those for jet aircraft, from civilian use to military consumption. Although the products share common features, the tech- nical challenges ensure that the product line is highly diverse. The concept of project portfolio management holds that firms should not manage projects as independent entities, but rather should regard portfolios as unified assets. There may be multiple objectives, but they are also shared objectives.22
Cooper23 has suggested that project portfolio management should have four goals: (1) max- imizing the value of the portfolio—the goal is to ensure that the total worth of projects in the pipeline yields maximum value to the company; (2) achieving the right balance of projects in the portfolio—there should be a balance between high-risk and low-risk, short-term and long-term, genuine new products and product improvement projects; (3) achieving a strategically aligned portfolio—leading companies have a clear product innovation strategy that directs their R&D proj- ect investments; and (4) resource balancing—having the right number of projects in the portfolio is critical. Too many firms invest in too many different projects that they cannot simultaneously support. Overextension just drains resources and causes top management to constantly shift their view from new project venture to new project venture, without providing sufficient support for any of them.
3.4 Project Portfolio Management 99
Artto24 notes that in a project-oriented company, project portfolio management poses a con- stant challenge between balancing long-term strategic goals and short-term needs and constraints. Managers routinely pose such questions as the following:
• What projects should the company fund? • Does the company have the resources to support them? • Do these projects reinforce future strategic goals? • Does this project make good business sense? • Is this project complementary to other company projects?
objectives and Initiatives
Each of the questions in the previous list has both short-term and long-term implications, and, taken together, they constitute the basis for both strategic project management and effective risk management. Portfolio management, therefore, entails decision making, prioritization, review, realignment, and reprioritization of a firm’s projects. Let’s consider each of these tasks in more detail.
decISIon MakIng The decision on whether or not to proceed in specific strategic directions is often influenced by market conditions, capital availability, perceived opportunity, and acceptable risk. A variety of project alternatives may be considered reasonable alternatives during portfolio development.
PrIorItIzatIon Because firms have limited resources, they typically cannot fund every project opportunity. Thus they must prioritize. For this task, several criteria may be used:
• Cost: Projects with lower development costs are more favorable because they come with less upfront risk.
• Opportunity: The chance for a big payout is a strong inducement for funding. • Top management pressure: Political pressure from top management (say, managers with pet
projects) can influence decisions. • Risk: Project payouts must justify some level of acceptable risk; those that are too risky are
scratched. • Strategic “fit”: If a firm has a policy of pursuing a family of products, all opportunities are
evaluated in terms of their complementarity—that is, either their strategic fit with existing product lines or their ability to augment the current product family.
• Desire for portfolio balance: A firm may want to offset risky initiatives by funding other projects. The Boston Consulting Group’s product matrix framework, for example, balances company product lines in terms of relative market share and product growth, suggesting that firms can maintain a strategic balance within their portfolios between products with differ- ent profiles. A firm might use its profitable but low-growth products to fund investment into projects with high growth prospects. Portfolio balance supports developing a strategy that allows companies the ability to balance or offset risk, explore alternative market opportuni- ties, and fund innovation in other product lines.
reVIeW All project alternatives are evaluated according to the company’s prioritization scheme. Projects selected for the firm’s portfolio are the ones that, based on those priorities, offer maximum return. For example, at the start of the current economic downturn, DHL Express started evaluat- ing its project portfolio through a new lens. The organization’s portfolio review board decided that all ongoing projects had to meet the following criteria: deliver return on investment (ROI) in 2009, be “mission-critical” to running the business, and address government or regulatory issues required to keep the business operational. Following an extensive portfolio review, a number of projects were temporarily discontinued.
realIgnMent When portfolios are altered by the addition of new projects, managers must re- examine company priorities. In the wake of new project additions, a number of important ques- tions should be considered. Does the new project conform to strategic goals as characterized by the project portfolio, or does it represent a new strategic direction for the firm? Does a new
100 Chapter 3 • Project Selection and Portfolio Management
project significantly alter the firm’s strategic goals? Does the portfolio now require additional rebalancing? The decision to change a portfolio by adding new projects restarts the analysis cycle in which we must again reexamine the portfolio for signs of imbalance or updating.
rePrIorItIzatIon If strategic realignment means shifting the company’s focus (i.e., creating new strategic directions), then managers must also reprioritize corporate goals and objectives. In this sense, then, portfolio management means managing overall company strategy. For example, Bayer Corporation, a global pharmaceutical giant, has found its corporate identity becoming less distinct due to the wide variety of acquisitions and other brands under which it markets its products. The company recently announced its intention to gradually eliminate many of the other brands that it owns under the “Bayer product umbrella” in order to emphasize the Bayer label. They found, after thorough analysis, that supporting a diverse set of brands in the Bayer Group was having the effect of diluting their signature brand. Consumers were confused about what Bayer actually made and that confusion was in danger of altering their perceptions of the quality of Bayer products.
developing a Proactive Portfolio
Portfolio management, therefore, is an important component in strategic project management. In addition to managing specific projects, organizations plan for profitability, and the road to prof- itability often runs through the area of strategic project management. One of the most effective methods for aligning profit objectives and strategic plans is the development of a proactive project portfolio, or an integrated family of projects, usually with a common strategic goal. Such a portfo- lio supports overall strategic integration, rather than an approach that would simply move from project opportunity to opportunity.
A useful model that has been applied to project portfolio management links the two issues of commercial potential and technical feasibility in judging among potential project alternatives to select for a firm’s portfolio. This portfolio classifies projects among four distinct types, depending on where they fall in the matrix (see Figure 3.8):25
1. Bread and butter projects are those with a high probability of technical feasibility and a modest likelihood for commercial profitability. These projects are typically evolutionary improve- ments to existing product lines or modest extensions to existing technology. A new release of a software product or “new and improved” laundry detergent are examples of bread and butter projects.
2. Pearls are projects that offer a strong commercial potential and are technically feasible. These projects can be used to gain strategic advantage in the marketplace. Pearls involve revolu- tionary commercial applications that have the potential to revolutionize a field while relying on well-known or understood technology. Examples of pearls are projects that involve new applications of existing technology, such as sonar imaging systems to detect deep-water oil reserves.
3. Oysters are early-stage projects that have the potential to unleash significant strategic and commercial advantages for the company that can solve the technical challenges. Because oys- ter projects involve unknown or revolutionary technologies, they are still at the early stages of possible success. If these technical challenges can be overcome, the company stands to make a great deal of money. An example of an oyster project is developing viable fusion power generation or extended life batteries for electric cars.
4. White elephant projects are a combination of low technical feasibility coupled with low commercial impact. The question could be asked: Why would a firm select white elephant projects that combine the worst of profitability and technical feasibility? The answer is that they do not deliberately select projects of this sort. Most white elephants start life as bread and butter projects or oysters that never live up to their potential. As a result, although originally undertaken with high hopes, white elephants end up consuming resources and wasting time, but they are often maintained with rationalizations such as, “We’ve already spent too much on it to just kill it now,” or “Influential members of the organization support it.”
Project matrixes like the one in Figure 3.8 are a useful means for companies to take a hard look at the current state of their project portfolio. Is there a good balance among project types?
3.4 Project Portfolio Management 101
Are there some obvious white elephants that need to be killed? Should the firm be investing in more (or fewer) strategic projects at the expense of bread and butter projects? Balancing tech- nical risk and potential return are twin goals of the project portfolio matrix and this process should be redone periodically to ensure that the state of the company’s portfolio is always updated.
It is also important to avoid making snap judgments or quick opinions of project oppor- tunities in order to classify them on the grid. Classifying your portfolio of projects into a matrix means that a company uses comprehensive and careful methods to identify projects of various types—white elephants, bread and butter, oysters, and pearls. Should we use quantitative scor- ing or screening models? Financial models? Some combination of several methods? Any of these approaches can be a useful starting point for classifying the current projects in the portfolio and identifying the value of potential new investments.
Consider the example of the large pharmaceutical firm Pfizer.26 Pfizer and its competi- tors routinely manage large families of projects in an integrated manner. The overall integration of project management efforts helps the company’s managers deal with certain realities of the pharmaceutical industry, such as extremely high development costs and long lead times for new products. In fact, as Table 3.10 shows, the lead time for bringing a new drug to market can easily stretch over 15 years, and the success rate of a drug being commercially developed is estimated to be less than 0.002%.
Therefore, at any particular point in time, Pfizer has numerous projects under research and development, a smaller number of projects entering various stages of clinical trials, and finally, an even smaller line of projects already on the market. Each step in the cycle is fraught with risks and uncertainties. Will a drug work in clinical trials? Will it have mini- mal negative side effects? Can it be produced in a cost-effective manner? Is it’s release time- sensitive (is there, for instance, a limited market opportunity of which to take advantage)? Often the answers to such questions will reduce Pfizer ’s ongoing portfolio of development projects.
Commercial Potential – Why do it?
Low Net Present Value Given Success
Maintain competitiveness
Gain strategic advantage
White Elephants Oysters
Bread and Butter Pearls
High
H ig
h P
ro b
a b
il it y o
f S
u c c e s s
L o
w
T e c h
n ic
a l
F e a s ib
il it
y –
H o
w e
a s y i
s i
t?
fIgure 3.8 Project Portfolio Matrix
Source: D. Matheson, D. and J. E. Matheson. (1998). The Smart Organization: Creating Value through Strategic R&D. Boston, MA: Harvard Business School Press.
102 Chapter 3 • Project Selection and Portfolio Management
Under the risky circumstances of this industry, in which development time is lengthy, the financial repercussions of failure are huge, and success is never certain, pharmaceutical firms must practice highly sophisticated project portfolio management. Because failure rates are high and washouts constant, the need to take advantage of new product opportunities is critical. Only in this way can the company ensure a steady supply of new products in the pipeline.
The pitfalls and possibilities of the pharmaceuticals development process are illustrated in Figure 3.9. Drug companies compensate for the lengthy lead times necessary to get final approval
table 3.10 Phases in New Drug Development
Phase Duration % of Success contents
Discovery 4–7 yrs 1% Research a selected pool of molecules in computer models and test tubes.
Preclinical research
Test on animals and in test tubes to research the safety, possible indications, toxicology, and metabolism of the molecule.
Phase I 1 yr 70%–75% Small clinical studies on healthy volunteers to study the safety and ADME characteristics of the molecule.
Phase II 2 yrs 50% Small studies on patients with the target disease to study the efficacy, dosage, and formulation of the drug.
Phase III 3 yrs 75%–85% Large clinical studies on patients to confirm the results of phase II. The most expensive phase in the project.
Marketing Application (MA)
1.5–3 yrs 75%–80% Compile marketing authorization application (MAA) and send to the authorities. After the authorization the drug may be sold and marketed.
Total 12–16 yrs < 0.002%
Source: M. Lehtonen (2001). “Resource allocation and project portfolio management in pharmaceutical R&D,” in Artto, Martinsuo, and Aalto (Eds.), Project Portfolio Management: Strategic Management through Projects, pp. 107–140, figure on page 112. Helsinki, Finland: Project Management Association.
B u s in
e s s
L a u n c h
Product support
Time
MAMAA
Time to market
Proof of Concept
D is
c o
v e ry
Start Phase I
Selection of molecule
Time to approval
Name of phase
Implementation
Planning
I
II
III
Pre
fIgure 3.9 the flow of New Drug Development over time
Source: M. Lehtonen. (2001). “Resource allocation and project portfolio management in pharmaceutical R&D,” in Artto, Martinsuo, and Aalto (Eds.), Project Portfolio Management: Strategic Management through Projects, pp. 107–140, figure on page 120. Helsinki, Finland: Project Management Association.
3.4 Project Portfolio Management 103
of new products by simultaneously funding and managing scores of development efforts. Unfortunately, only a small proportion of an R&D portfolio will show sufficient promise to be advanced to the clinical trial stage. Many projects are further weeded out during this phase, with very few projects reaching the stage of commercial rollout.
Pfizer uses portfolio management to manage the flow of new drug development projects, much as Samsung and Erickson use it to keep track of product pipelines that include mobile phones, baseband modems, and firewall systems. Scott Paper manages a large portfolio of products and new project initiatives through the same portfolio management approaches. Project portfolios are necessary because a certain percentage of projects will be canceled prior to full funding, others will be eliminated during development, and still others will fail commercially. This cycle leaves only a few projects to account for a firm’s return on all of its investments. In short, any company that puts all its R&D eggs in one project basket runs huge risks if that project fails during development or proves disappointing in the marketplace. As a rule, therefore, companies guarantee themselves fallback options, greater financial stability, and the chance to respond to multiple opportunities by constantly creating and updating portfolios of projects.
Although there are no standard “rules” for the projects a company’s portfolio should contain, research into portfolio management across industries has found that for companies in certain industries, there may be general guidelines for the types of projects routinely being developed. For example, in a study of the IT industry, researchers found that the average firm’s project portfolio budget consists of 47% spent on infrastructure projects (intended to support essential elements of the organization, its networks, PCs, development tools, training and help desk support, and maintenance). The remaining 53% of the IT portfolio budget is spent on application projects, including “frontier” projects to alter the competitive landscape, enhancement projects to support better corporate performance, and utility applications for improving internal company processes. For the majority of IT firms, nearly 67% of their portfolio budget is spent on infrastructure and utility projects that make no direct business performance improvement but are nevertheless essential for the smooth-running operations of a company.27 This example demonstrates that it is possible to use research to determine the optimal mix of alternative project types within the portfolios of firms in other industries as a means to guide portfolio- balancing decisions.
keys to Successful Project Portfolio Management
Although examples of successfully managed portfolios abound, few researchers have investigated the key reasons why some companies are better at it than others. Brown and Eisenhardt28 studied six firms in the computer industry; all were involved in multiple project development activities. They determined that successfully managed project portfolios usually reflect the following three factors:
flexIble Structure and freedoM of coMMunIcatIon Multiple-project environments can- not operate effectively when they are constrained by restrictive layers of bureaucracy, narrow communication channels, and rigid development processes. Successful portfolios emerge from environments that foster flexibility and open communication. When project teams are allowed to improvise and experiment on existing product lines, innovative new product ideas are more likely to emerge.
loW-coSt enVIronMental ScannIng Many firms devote a lot of time and money in efforts to hit product “home runs.” They put their faith (and financing) in one promising project and aim to take the marketplace by storm, often without sufficiently analyzing alternative opportunities or future commercial trends. As a rule, successful project portfolio strategies call for launching a number of low-cost probes into the future, the idea behind environmental scanning—developing and market-testing a number of experimental product prototypes, sometimes by entering strategic alliances with potential partners. Successful firms do not rely on home runs and narrowly con- centrated efforts. They are constantly building and testing new projects prior to full-scale devel- opment. Rubbermaid, for example, routinely brings dozens of new product ideas to the market, samples the commercial response, and uses the resulting information to improve potential winners and discard products that don’t measure up.
104 Chapter 3 • Project Selection and Portfolio Management
tIMe-Paced tranSItIon Successful portfolio management requires a sense of timing, especially as firms make transitions from one product to the next. Successful firms use project portfolio plan- ning routinely to develop long lead times and plan ahead in order to make the smoothest possible transition from one product to another, whether the product lines are diverse or constitute creating a follow-on upgrade. Gillette, for example, has made a lucrative business out of developing and selling new models of shaving razors. Gillette’s product life cycle planning is highly sophisticated, allowing it to make accurate predictions of the likely life cycle of current products and the timing necessary for beginning new product development projects to maintain a seamless flow of con- sumer products.
Problems in Implementing Portfolio Management
What are some of the common problems in creating an effective portfolio management system? Although numerous factors can adversely affect the practice of portfolio management, recent research seems to suggest that the following are among the most typical problem areas.29
conSerVatIVe technIcal coMMunItIeS In many organizations, there is a core of technical professionals—project engineers, research scientists, and other personnel—who develop project prototypes. A common phenomenon is this group’s unwillingness, whether out of pride, organiza- tional inertia, or due to arguments supporting pure research, to give up project ideas that are too risky, too costly, or out of sync with strategic goals. Often, when top management tries to trim the portfolio of ongoing projects for strategic reasons, they find engineers and scientists reluctant to accept their reasoning. Data General Corporation, a manufacturer of computers and IT products, found itself increasingly under the dominance of its hardware engineering department, a group intent on pursuing their own new product goals and fostering their own vision for the organiza- tion. By the mid-1990s, with one product after another resulting in significant losses, the company could not continue to operate independently and was acquired by EMC Corporation.
out-of-Sync ProjectS and PortfolIoS Sometimes after a firm has begun realigning and repri- oritizing its strategic outlook, it continues to develop projects or invest in a portfolio that no longer accurately reflects its new strategic focus. Strategy and portfolio management must accurately re- flect a similar outlook. When strategy and portfolio management are out of alignment, one or both of two things will probably happen: Either the portfolio will point the firm toward outmoded goals or the firm’s strategy will revert to its old objectives.
unProMISIng ProjectS The worst-case scenario finds a company pursuing poor-quality or unnecessary projects. Honda, for example, has been pursuing hydrogen fuel technology for over 10 years and is marketing its FCX car in southern California with compressed hydrogen as its fuel source. Unfortunately, while the efficiency of the engine is high, the current difficulties in the technology make the FCX a questionable project choice to continue to support. The tanker trucks that replenish gasoline stations carrying hydrogen refueling pumps can carry about 300 fill-ups. However, hydrogen takes up much more space and requires high-pressure cylinders that weigh 65 times as much as the hydrogen they contain. Therefore, one giant, 13-ton hydrogen delivery truck can carry only about 10 fill-ups! By ignoring this critical flaw in the hydrogen economy idea Honda has a product is grossly inefficient compared to electric cars. Well-to-wheel efficiency analysis of the Honda FCX shows that the Tesla pure electric car is three times more efficient while producing only one-third the CO2 emissions.
30
When portfolio management is geared to product lines, managers routinely rebalance the portfolio to ensure that there are a sufficient number of products of differing types to offset those with weaknesses. Revenues from “cash cows,” for example, can fund innovative new products. Sometimes critical analysis of a portfolio requires hard decisions, project cancellations, and real- located resources. But it is precisely this ongoing attention to the portfolio that prevents it from becoming weighted down with unpromising projects.
Scarce reSourceS A key resource for all projects is human capital. In fact, personnel costs comprise one of the highest sources of project expense. Additional types of resources include any raw materials, financial resources, or supplies that are critical to successfully completing the project. Before spending large amounts of time creating a project portfolio, organizations
thus like to ensure that the required resources will be available when needed. A principal cause of portfolio underperformance is a lack of adequate resources, especially personnel, to support required development.
Portfolio management is the process of bringing an organization’s project management practices into line with its overall corporate strategy. By creating complementary projects and creating synergies within its project portfolio, a company can ensure that its project manage- ment teams are working together rather than at cross-purposes. Portfolio management is also a visible symbol of the strategic direction and commercial goals of a firm. Taken together, the proj- ects that a firm chooses to promote and develop send a clear signal to the rest of the company about priorities, resource commitment, and future directions. Finally, portfolio management is an alternative method for managing overall project risk by seeking a continuous balance among various families of projects, between risks and return trade-offs, and between efficiently run projects and nonperformers. As more and more organizations rely on project management to achieve these ends, it is likely that more and more firms will take the next logical step: organiz- ing projects by means of portfolio management.
Summary
1. explain six criteria for a useful project selection/ screening model. No organization can pursue every opportunity that presents itself. Choices must be made, and to best ensure that they select the most viable projects, firms develop priority systems or guidelines—selection/screening models (or a set of models) that will help them make the best choices within the usual constraints of time and money— that is, help them save time and money while maxi- mizing the likelihood of success.
A number of decision models are available to managers who are responsible for evaluat- ing and selecting potential projects. Six impor- tant issues that managers should consider when evaluating screening models are: (1) Realism: An effective model must reflect organizational objec- tives, must be reasonable in light of constraints on resources such as money and personnel, and must take into account both commercial risks and technical risks. (2) Capability: A model should be flexible enough to respond to changes in the con- ditions under which projects are carried out and robust enough to accommodate new criteria and constraints. (3) Flexibility: The model should be easily modified if trial applications require chang- es. (4) Ease of use: A model must be simple enough to be used by people in all areas of the organiza- tion, and it should be timely in that it generates information rapidly and allows people to assimi- late that information without any special training or skills. (5) Cost: The cost of gathering, storing, and arranging information in the form of useful reports or proposals should be relatively low in relation to the costs associated with implement- ing a project (i.e., the cost of the models must be low enough to encourage their use rather than diminish their applicability). (6) Comparability:
The model must be broad enough that it can be applied to multiple projects and support general comparisons of project alternatives.
2. understand how to employ checklists and sim- ple scoring models to select projects. Checklists require decision makers to develop a list of the cri- teria that are deemed important when considering project alternatives. For example, a firm may decide that all project alternatives must be acceptable on criteria such as return on investment, safety, cost of development, commercial opportunities, and stake- holder acceptability. Once the list of criteria is cre- ated, all project alternatives are evaluated against it and assigned a rating of high, medium, or low depending on how well they satisfy each criterion in the checklist. Projects that rate highest across the relevant criteria are selected. Checklists are use- ful because they are simple and require the firm to make trade-off decisions among criteria to deter- mine which issues are most important in selecting new projects. Among their disadvantages are the subjective nature of the rating process and the fact that they assume equal weighting for all criteria when some, in fact, may be much more important than others in making the final decision.
Simple scoring models are similar to checklists except that they employ criterion weights for each of the decision criteria. Hence, all project alterna- tives are first weighted by the importance score for the criterion, and then final scores are evaluated against one another. The advantage of this method is that it recognizes the fact that decision criteria may be weighted differently, leading to better choices among project alternatives. The disadvantages of the method arise from the difficulty in assigning meaningful values to scoring anchors such as “High
= 3, Medium = 2, Low = 1.” Thus, there is some
Summary 105
106 Chapter 3 • Project Selection and Portfolio Management
uncertainty in the interpretation of the results of sim- ple scoring models using weighted rankings. The usefulness of these models depends on the relevance of the selected criteria and the accuracy of the weight given to them.
3. use more sophisticated scoring models, such as the Analytical hierarchy Process. The Analytical Hierarchy Process (AHP) is a four-step process that allows decision makers to understand the nature of project alternatives in making selection decisions. Using the AHP, decision makers (a) structure the hierarchy of criteria to be used in the decision pro- cess, (b) allocate weights to these criteria, (c) assign numerical values to all evaluation dimensions, and (d) use the scores to evaluate project alternatives. The AHP has been shown to create more accurate decision alternatives and lead to more informed choices, provided the organization’s decision mak- ers develop accurate decision criteria and evaluate and weight them honestly.
4. learn how to use financial concepts, such as the efficient frontier and risk/return models. Many projects are selected as a result of their perceived risk/return trade-off potential. That is, all projects entail risk (uncertainty), so project organizations seek to balance higher risk with comparatively higher expectations of return when consider- ing which projects to fund. The efficient frontier concept allows projects to be evaluated against each other by assessing the potential returns for each alternative compared to the risk the firm is expected to undertake in producing the project. The efficient frontier is the set of project portfolio options that offers either a maximum return for every given level of risk or the minimum risk for every level of return.
5. employ financial analyses and options analysis to evaluate the potential for new project invest- ments. Financial analyses using discounted cash flows and internal rates of return allow us to apply the concept of the time value of money to any deci- sion we have to make regarding the attractiveness of various project alternatives. The time value of money
suggests that future streams of return from a project investment should at least offset the initial invest- ment in the project plus provide some required rate of return imposed by the company. Options analy- sis takes this process one step further and considers alternatives in which an investment is either made or foregone, depending upon reasonable alternative investments the company can make in the future. Each of these financial models argues that the prin- cipal determinant of an attractive project investment must be the money it promises to return. Clearly, therefore, a reasonably accurate estimate of future streams of revenue is required for financial models to create meaningful results.
6. recognize the challenges that arise in maintain- ing an optimal project portfolio for an organiza- tion. A number of challenges are associated with managing a portfolio of projects, including (a) con- servative technical communities that refuse to sup- port new project initiatives, (b) out-of-sync projects and portfolios in which the projects no longer align with overall strategic portfolio plans, (c) unpromis- ing projects that unbalance the portfolio, and (d) scarce resources that make it impossible to support new projects.
7. understand the three keys to successful project portfolio management. There are three keys to suc- cess project portfolio management. First, firms need to create or make available a flexible structure and freedom of communication by reducing excessive bureaucracy and administrative oversight so that the portfolio management team maximum has flexibil- ity in seeking out and investing in projects. Second, use of successful portfolio management strategies allows for low-cost environmental scanning, which launches a series of inexpensive “probes” into the future to develop and test-market project alterna- tives. Finally, successful portfolio management requires a time-paced transition strategy based on a sense of the timing necessary to successfully transi- tion from one product to the next, whether the next product is a direct offshoot of the original or an addi- tional innovative product for the firm’s portfolio.
Key Terms
Analytical Hierarchy Process (AHP) (p. 84) Checklist (p. 80) Discounted cash flow (DCF) method (p. 90) Discounted payback method (p. 94) Efficient frontier (p. 88)
Internal rate of return (IRR) (p. 94) Lead time (p. 101) Net present value (NPV) method (p. 92) Nonnumeric models (p. 79) Numeric models (p. 79) Pairwise comparison approach (p. 85)
Payback period (p. 90) Present value of money (p. 90) Profile models (p. 88) Project portfolio (p. 78) Project portfolio management (p. 98) Project screening model (p. 80)
Required rate of return (RRR) (p. 94) Risk/return (p. 88) Simplified scoring model (p. 82) Time value of money (p. 90)
3.1 Net PreSeNt VAlUe Your firm is trying to decide whether to invest in a new proj- ect opportunity based on the following information. The initial cash outlay will total $250,000 over two years. The firm expects to invest $200,000 immediately and the final $50,000 in one year ’s time. The company predicts that the project will gen- erate a stream of earnings of $50,000, $100,000, $200,000, and $75,000 per year, respectively, starting in Year 2. The required rate of return is 12%, and the expected rate of inflation over the life of the project is forecast to remain steady at 3%. Should you invest in this project?
SoluTIoN
In order to answer this question, we need to organize the fol- lowing data in the form of a table:
Total outflow = $250,000 Total inflow = $400,000 Required rate of return (r) = 12% Inflation rate (p) = 3% Discount factor = 1/(1 + r + p)t
The result is shown in Table 3.11. Because the discounted revenue stream is positive ($11,725), the project would be a good investment and should be pursued.
3.2 DiScoUNteD PAYBAck Your firm has the opportunity to invest $75,000 in a new project opportunity but due to cash flow concerns, your boss wants to know when you can pay back the original invest- ment. Using the discounted payback method, you determine that the project should generate inflows of $30,000, $30,000, $25,000, $20,000, and $20,000 respectively for an expected five years after completion of the project. Your firm’s required rate of return is 10%.
SoluTIoN
To answer this question, it is helpful to organize the information into a table. Remember that:
Total outflow = $75,000 Required rate of return = 10% Discount factor = 1/(1 + .10)t
Year cash flow Discount
factor Net
inflows
0 ($75,000) 1.00 ($75,000)
1 30,000 .91 27,300
2 30,000 .83 24,900
3 25,000 .75 18,750
4 20,000 .68 13,600
5 20,000 .62 12,400
Payback = 3.3 years
3.3 iNterNAl rAte of retUrN Suppose that a project required an initial cash investment of $24,000 and was expected to generate inflows of $10,000, $10,000, and $10,000 for the next three years. Further, assume that our company’s required rate of return for new projects is 12%. Is this project worth funding? Would it be a good invest- ment if the company’s required rate of return were 15%? Use the following figures to determine the answers to these ques- tions:
Cash investment = $24,000 Year 1 inflow = $10,000 Year 2 inflow = $10,000 Year 3 inflow = $10,000 Required rate of return = 12%
table 3.11 Discounted cash flows and NPV (ii)
Year inflows outflows Net flow Discount factor NPV
0 $ 0 $200,000 $(200,000) 1.0000 $(200,000)
1 0 50,000 (50,000) .8696 (43,480) 2 50,000 0 50,000 .7561 37,805 3 100,000 0 100,000 .6575 65,750 4 200,000 0 200,000 .5718 114,360 5 75,000 0 75,000 .4972 37,290
total $ 11,725
Solved Problems
Solved Problems 107
108 Chapter 3 • Project Selection and Portfolio Management
SoluTIoN
step one: trying 10%.
Discount factor
Year inflows at 10% NPV
1 $10,000 .909 $ 9,090
2 10,000 .826 8,260
3 10,000 .751 7,510
Present value of inflows 24,860
Cash investment −24,000
Difference $ 860
decision: Present value difference at 10% is $860, which is too high. Try a higher discount rate.
step two: using 12%.
Discount factor
Year inflows at 12% NPV
1 $10,000 .893 $ 8,930
2 10,000 .797 7,970
3 10,000 .712 7,120
Present value of inflows 24,020
Cash investment −24,000
Difference $ 20
decision: Present value difference at 12% is $20, which suggests that 12% is a close approximation of the IRR. This project would be a good investment at 12%, but it would not be acceptable if the firm’s required rate of return were 15%.
Discussion Questions
1. If you were to prioritize the criteria for a successful screening model, which criteria would you rank at the top of your priority list? Why?
2. What are the benefits and drawbacks of checklists as a method for screening project alternatives?
3. How does use of the Analytical Hierarchy Process (AHP) aid in project selection? In particular, what as- pects of the screening process does the AHP seem to address and improve directly?
4. What are the benefits and drawbacks of the profile model for project screening? Be specific about the problems that may arise in identifying the efficient frontier.
5. How are financial models superior to other screening models? How are they inferior?
6. How does the options model address the problem of nonrecoverable investment in a project?
7. What advantages do you see in the GE Tollgate screen- ing approach? What disadvantages do you see? How would you alter it?
8. Why is project portfolio management particularly chal- lenging in the pharmaceutical industry?
9. What are the keys to successful project portfolio management?
10. What are some of the key difficulties in successfully implementing project portfolio management practices?
Problems
3.1 checklist. Suppose that you are trying to choose which of two IT projects to accept. Your company employs three primary selection criteria for evaluating all IT projects: (1) proven technology, (2) ease of transition, and (3) projected cost savings.
One option, Project Demeter, is evaluated as:
Technology high Ease of transition low Projected cost savings high
The second option, Project Cairo, is evaluated as:
Technology medium Ease of transition high Projected cost savings high
Construct a table identifying the projects, their evaluative criteria, and ratings. Based on your analysis, which project would you argue in favor of adopting? Why?
3.2 checklist. Consider the following information in choosing among the four project alternatives below (labeled A, B, C, and D). Each has been assessed according to four criteria:
• Payoff potential • Lack of risk
• Safety • Competitive advantage
Project A is rated:
Payoff potential high Safety high
Lack of risk low Competitive advantage
medium
Project B is rated:
Payoff potential low Safety medium
Lack of risk medium Competitive advantage
medium
Project C is rated:
Payoff potential medium Safety low
Lack of risk medium Competitive advantage
low
Project D is rated:
Payoff potential high Safety medium
Lack of risk high Competitive advantage
medium
Construct a project checklist model for screening these four alternatives. Based on your model, which project is the best choice for selection? Why? Which is the worst? Why?
3.3 scoring Model. Suppose the information in Problem 2 was supplemented by importance weights for each of the four assessment criteria, where 1 = low importance and 4 = high importance:
Assessment criteria importance Weights
1. Payoff potential 4
2. Lack of risk 3
3. Safety 1
4. Competitive advantage 3
Assume, too, that evaluations of high receive a score of 3, medium 2, and low 1. Recreate your project scoring model and reassess the four project choices (A, B, C, and D). Now which project alternative is the best? Why?
3.4 scoring Model. Now assume that for Problem 3, the im- portance weights are altered as follows:
Assessment criteria importance Weights
1. Payoff potential 1
2. Lack of risk 1
3. Safety 4
4. Competitive advantage 2
How does this new information alter your decision? Which project now looks most attractive? Why?
3.5 screening Model. Assume that the following criteria rel- evant to the process of screening various project opportu- nities are weighted in importance as follows:
Quality (7) Cost (3) Speed to market (5) Visibility (1) Reliability (7)
Our company has four project alternatives that satisfy these key features as follows:
Alpha Beta Gamma Delta
Quality 1 3 3 5
Cost 7 7 5 3
Speed 5 5 3 5
Visibility 3 1 5 1
Reliability 5 5 7 7
Construct a project screening matrix to identify among these four projects the most likely candidate to be implemented.
3.6 screening Model. Assume that the following criteria rel- evant to the process of screening various construction proj- ect opportunities are weighted in importance as follows:
Safety (10) Speed to completion (5)
Sustainable development (4) Infrastructure modifications (3) Traffic congestion (5) Cost (8)
Our company has four project alternatives that satisfy these key features as follows:
Midtown Uptown Downtown Suburb
Safety 6 5 3 8
Speed 3 4 2 5
Sustainable 7 7 5 4
Infrastructure 4 5 4 1
Traffic 2 4 1 8
Cost 5 5 3 6
Construct a project screening matrix to identify among these four projects the most likely candidate to be implemented.
3.7 Profile Model. Assume the project profile model shown in Figure 3.10. Define the efficient frontier. The dotted lines represent the minimum return and the maximum risk that the company will accept. Which projects would be suitable for retaining and which should be dropped from the com- pany’s portfolio? Why?
3.8 Profile Model. Using the information from the profile model in Problem 7, construct an argument as to why proj- ect B is preferable to project C.
3.9 discounted Payback. Your company is seriously consider- ing investing in a new project opportunity, but cash flow is tight. Top management is concerned about how long it will take for this new project to pay back the initial investment of $50,000. You have determined that the project should gener- ate inflows of $30,000, $30,000, $40,000, $25,000, and $15,000 for the next five years. Your firm’s required rate of return is 15%. How long will it take to pay back the initial investment?
3.10 net Present value. Assume that your firm wants to choose between two project options:
• Project A: $500,000 invested today will yield an expected income stream of $150,000 per year for five years, start- ing in Year 1.
• Project B: an initial investment of $400,000 is expected to produce this revenue stream: Year 1 = 0, Year 2 = $50,000, Year 3 = $200,000, Year 4 = $300,000, and Year 5 = $200,000.
D E
C
Risk F
B
A
Return
fIgure 3.10 Project Profile Model (Problem 7)
Problems 109
110 Chapter 3 • Project Selection and Portfolio Management
Assume that a required rate of return for your company is 10% and that inflation is expected to remain steady at 3% for the life of the project. Which is the better investment? Why?
3.11 net Present value. Your vice president of Management Information Systems informs you that she has re- searched the possibility of automating your organiza- tion’s order-entry system. She has projected that the new system will reduce labor costs by $35,000 each year over the next five years. The purchase price (including installation and testing) of the new system is $125,000. What is the net present value of this investment if the discount rate is 10% per year?
3.12 net Present value. A company has four project investment alternatives. The required rate of return on projects is 20%, and inflation is projected to remain at 3% into the foresee- able future. The pertinent information about each alterna- tive is listed in the following chart:
Which project should be the firm’s first priority? Why? If the company could invest in more than one project, indi- cate the order in which it should prioritize these project alternatives.
3.13 Portfolio Management. Crown Corporation is interested in expanding its project portfolio. This firm, which special- izes in water conservation and land reclamation projects, anticipates a huge increase in the demand for home fuel cells as an alternative to current methods of energy gen- eration and usage. Although fuel-cell projects involve dif- ferent technologies than those in which Crown currently specializes, the profit potential is very large. Develop a list of benefits and drawbacks associated with this potential expansion of Crown’s project portfolio. In your opinion, do the risks outweigh the advantages from such a move? Justify your answer.
Project carol Year investment revenue Streams
0 $ 500,000 $ 0 1 50,000
2 250,000 3 350,000
Project George Year investment revenue Streams
0 $ 250,000 $ 0 1 75,000 2 75,000 3 75,000 4 50,000
Project thomas Year investment revenue Streams
0 $1,000,000 $ 0 1 200,000 2 200,000 3 200,000 4 200,000 5 200,000 6 200,000
Project Anna Year investment revenue Streams
0 $ 75,000 $ 0 1 15,000 2 25,000 3 50,000 4 50,000 5 150,000
3.14 Project screening. Assume you are the IT manager for a large urban health care system. Lately you have been bombarded with requests for new projects, including sys- tem upgrades, support services, automated record keep- ing, billing, and so forth. With an average of 50 software and hardware support projects going on at any time, you have decided that you must create a system for screening new project requests from the various departments within
the health care system. Develop a project selection and screening system similar to GE’s Tollgate process. What elements would you include in such a system? How many steps would you recommend? At what points in the pro- cess should “gates” be installed? How might a tollgate system for a software development company differ from one used by an architectural firm specializing in the de- velopment of commercial office buildings?
CaSe STuDy 3.1 Keflavik Paper Company
In recent years, Keflavik Paper Company has been having problems with its project management process. A number of commercial projects, for example, have come in late and well over budget, and product perfor- mance has been inconsistent. A comprehensive anal- ysis of the process has traced many of the problems back to faulty project selection methods.
Keflavik is a medium-sized corporation that manufactures a variety of paper products, including specialty papers and the coated papers used in the photography and printing industries. Despite cycli- cal downturns due to general economic conditions, the firm’s annual sales have grown steadily though slowly. About five years ago, Keflavik embarked on a project-based approach to new product opportu- nities. The goal was to improve profitability and generate additional sales volume by developing new commercial products quickly, with better tar- geting to specific customer needs. The results so far have not been encouraging. The company’s project development record is spotty. Some projects have been delivered on time, but others have been late; budgets have been routinely overrun; and product performance has been inconsistent, with some proj- ects yielding good returns and others losing money.
Top management hired a consultant to analyze the firm’s processes and determine the most efficient way to fix its project management procedures. The con- sultant attributed the main problems not to the project management processes themselves, but to the manner in which projects are added to the company’s portfo- lio. The primary mechanism for new project selection focused almost exclusively on discounted cash flow models, such as net present value analysis. Essentially, if a project promised profitable revenue streams, it was approved by top management.
One result of this practice was the develop- ment of a “family” of projects that were often almost completely unrelated. No one, it seems, ever asked whether projects that were added to the portfolio fit with other ongoing projects. Keflavik attempted to expand into coated papers, photographic products, shipping and packaging materials, and other lines that strayed far from the firm’s original niche. New projects were rarely measured against the firm’s strategic mission, and little effort was made to eval- uate them according to its technical resources. Some new projects, for example, failed to fit because they required significant organizational learning and new technical expertise and training (all of which
was expensive and time-consuming). The result was a portfolio of diverse, mismatched projects that was difficult to manage.
Further, the diverse nature of the new product line and development processes decreased organiza- tional learning and made it impossible for Keflavik’s project managers to move easily from one assignment to the next. The hodgepodge of projects made it dif- ficult for managers to apply lessons learned from one project to the next. Because the skills acquired on one project were largely nontransferable, project teams routinely had to relearn processes whenever they moved to a new project.
The consultant suggested that Keflavik rethink its project selection and screening processes. In order to lend some coherence to its portfolio, the firm needed to include alternative screening mechanisms. All new projects, for instance, had to be evaluated in terms of the company’s strategic goals and were required to demonstrate complementarity with its current portfolio. He further recommended that in order to match project managers with the types of projects that the company was increasingly under- taking, it should analyze their current skill sets. Although Keflavik has begun implementing these and other recommendations, progress so far has been slow. In particular, top managers have found it hard to reject opportunities that offer positive cash flow. They have also had to relearn the importance of project prioritization. Nevertheless, a new prioritiza- tion scheme is in place, and it seems to be improving both the selection of new project opportunities and the company’s ability to manage projects once they are funded.
Questions
1. Keflavik Paper presents a good example of the dangers of excessive reliance on one screening technique (in this case, discounted cash flow). How might excessive or exclusive reliance on other screening methods discussed in this chap- ter lead to similar problems?
2. Assume that you are responsible for maintaining Keflavik’s project portfolio. Name some key cri- teria that should be used in evaluating all new projects before they are added to the current portfolio.
3. What does this case demonstrate about the ef- fect of poor project screening methods on a firm’s ability to manage its projects effectively?
(continued)
Case Study 3.1 111
112 Chapter 3 • Project Selection and Portfolio Management
CaSe STuDy 3.2 Project Selection at Nova Western, Inc.
Phyllis Henry, vice president of new product devel- opment, sat at her desk, trying to make sense of the latest new project proposals she had just received from her staff. Nova Western, Inc., a large developer of business software and application programs, had been experiencing a downturn in operating revenues over the past three quarters. The senior management team was feeling pressure from the board of direc- tors to take steps to correct this downward drift in revenues and profitability. The consensus opinion was that Nova Western needed some new product ideas, and fast.
The report Phyllis was reading contained the results of a project screening conducted by two independent groups within the new product devel- opment department. After several weeks of analysis, it appeared that two top contenders had emerged as the optimal new project opportunities. One project, code-named Janus, was championed by the head of software development. The other project idea, Gemini, had the support of the business applications organization. Phyllis’s original charge to her staff was to prepare an evaluation of both projects in order to decide which one Nova Western should support. Because of budget restrictions, there was no way that both projects could be funded.
The first evaluation team used a scoring model, based on the key strategic categories at Nova Western, to evaluate the two projects. The catego- ries they employed were: (1) strategic fit, (2) prob- ability of technical success, (3) financial risk, (4) potential profit, and (5) strategic leverage (ability of the project to employ and enhance company resources and technical capabilities). Using these categories, the team evaluated the two projects as shown here. Scores were based on: 1 = low, 2 = medium, and 3 = high.
Project janus
category importance Score Weighted Score
1. Strategic fit 3 2 6
2. Probability of technical success 2 2 4
3. Financial risk 2 1 2
4. Potential profit 3 3 9
5. Strategic leverage 1 1 1
Score = 22
Project Gemini
category importance Score Weighted
Score
1. Strategic fit 3 3 9
2. Probability of technical success 2 2 4
3. Financial risk 2 2 4
4. Potential profit 3 3 9
5. Strategic leverage 1 2 2
Score = 28
The results obtained by this first team suggested that Project Gemini would the best choice for the next new project.
The second team of evaluators presented an NPV analysis of the two projects to Phyllis. In that analysis, the evaluators assumed a required rate of return of 15% and an anticipated inflation rate of 3% over the life of the project. The findings of this team were as follows:
Project janus
Initial investment = $250,000 Life of the project = 5 years Anticipated stream of future cash flows:
Year 1 = $ 50,000 Year 2 = 100,000 Year 3 = 100,000 Year 4 = 200,000 Year 5 = 75,000 Calculated NPV = $ 60,995
Project Gemini
Initial investment = $400,000 Life of the project = 3 years Anticipated stream of future cash flows:
Year 1 = $ 75,000 Year 2 = 250,000 Year 3 = 300,000 Calculated NPV = $ 25,695
Thus, according to this analysis, Project Janus would be the project of choice.
The analyses of the two projects by different means yielded different findings. The scoring model indicated that Project Gemini was the best alternative,
and the financial screening favored the higher pro- jected NPV of Project Janus. Phyllis, who was due to present her recommendation to the full top manage- ment team in the afternoon, was still not sure which project to recommend. The evaluations seemed to present more questions than answers.
Questions
1. Phyllis has called you into her office to help her make sense of the contradictions in the two project evaluations. How would you explain the
reasons for the divergence of opinion from one technique to the next? What are the strengths and weaknesses of each screening method?
2. Choose the project that you think, based on the two analyses, Nova Western should select. Defend your choice.
3. What does this case suggest to you about the use of project selection methods in organizations? How would you resolve the contradictions found in this example?
Internet exercises
3.1 Go to the Web sites for the following organizations:
a. Merck & Company Pharmaceuticals: www.merck.com/ about/
b. Boeing Corporation: http://www.boeing.com/boeing/ companyoffices/aboutus/index.page
c. Rolls-Royce, Plc.: www.rolls-royce.com d. ExxonMobil, Inc.: www.exxonmobil.com/Corporate/
about.aspx
Based on your review of the companies’ posted mission and strategic goals, what types of projects would you
expect them to pursue? If you worked for one of these firms and sought to maintain strategic alignment with their project portfolio, what project options would you suggest?
3.2 Access the Web site www-01.ibm.com/software/awd- tools/portfolio/. What is IBM’s philosophy regarding project portfolio management as demonstrated by this software product? What do they mean by stating that their goal is to help clients overcome the influence of the loudest voice in the room and use objective information to support decision making?
Notes
1. Texas Department of Transportation (2013). Project Selection Process.
2. Foti, R. (2002). “Priority decisions,” PMNetwork, 16(4): 24–29; Crawford, J. K. (2001). “Portfolio management: Overview and best practices,” in J. Knutson (Ed.), Project Management for Business Professionals. New York: Wiley, pp. 33–48; Wheatley, M. (2009). “Making the cut,” PMNetwork, 23(6): 44–48; Texas Department of Transportation. (2013). Project Selection Process, http://ftp.dot.state.tx.us/pub/ txdot-info/fin/utp/2013_psp.pdf.
3. Pascale, S., Carland, J. W., and Carland, J. C. (1997). “A comparative analysis of two concept evaluation meth- ods for new product development projects,” Project Management Journal, 28(4): 47–52; Wheelwright, S. C., and Clark, K. B. (1992, March–April). “Creating project plans to focus product development,” Harvard Business Review, 70(2): 70–82.
4. Souder, W. E., and Sherman, J. D. (1994). Managing New Technology Development. New York: McGraw-Hill; Souder, W. E. (1983). Project Selection and Economic Appraisal. New York: Van Nostrand Reinhold.
5. Meredith, J. R., and Mantel, Jr., S. J. (2003). Project Management, 5th ed. New York: Wiley.
6. Khorramshahgol, R., Azani, H., and Gousty, Y. (1988). “An integrated approach to project evaluation and selec- tion,” IEEE Transactions on Engineering Management, EM-35(4): 265–70; Raz, T. (1997). “An iterative screening
methodology for selecting project alternatives,” Project Management Journal, 28(4): 34–39.
7. Cleland, D. I. (1988). “Project stakeholder manage- ment,” in Cleland, D. I., and King, W. R. (Eds.), Project Management Handbook, 2nd ed. New York: Van Nostrand Reinhold, pp. 275–301.
8. Artto, K. A., Martinsuo, M., and Aalto, T. (Eds.) (2001). Project Portfolio Management: Strategic Management Through Projects. Helsinki: Project Management Association; Artto, K. A. (2001). “Management of project-oriented organiza- tion—Conceptual analysis,” in Artto, K. A., Martinsuo, M., and Aalto, T. (Eds.), Project Portfolio Management: Strategic Management Through Projects. Helsinki: Project Management Association.
9. Pinto, J. K., and Millet, I. (1999). Successful Information System Implementation: The Human Side, 2nd ed. Newtown Square, PA: Project Management Institute.
10. Saaty, T. L. (1996). The Analytical Hierarchy Process. Pittsburgh, PA: RWS Publications.
11. Millet, I. (1994, February 15). “Who’s on first?” CIO Magazine, pp. 24–27.
12. Mian, S. A., and Dai, C. X. (1999). “Decision-making over the project life cycle: An analytical hierarchy approach,” Project Management Journal, 30(1): 40–52.
13. Foreman, E. H., Saaty, T. L., Selly, M., and Waldron, R. (1996). Expert Choice. McLean, VA: Decision Support Software.
Notes 113
114 Chapter 3 • Project Selection and Portfolio Management
14. Millet, I., and Schoner, B. (2005). “Incorporating negative values into the Analytical Hierarchy Process,” Computers and Operations Research, 12(3): 163–73.
15. Evans, D. A., and Souder, W. E. (1998). “Methods for selecting and evaluating projects,” in Pinto, J. K. (Ed.), The Project Management Institute Project Management Handbook. San Francisco, CA: Jossey-Bass.
16. Reilly, F. K. (1985). Investment Analysis and Portfolio Management, 2nd ed. Chicago, IL: The Dryden Press.
17. Keown, A. J., Scott, Jr., D. F., Martin, J. D., and Petty, J. W. (1996). Basic Financial Management, 7th ed. Upper Saddle River, NJ: Prentice Hall; Evans, D. A., and Souder, W. E. (1998). “Methods for selecting and evaluating projects,” in Pinto, J. K. (Ed.), The Project Management Institute Project Management Handbook. San Francisco, CA: Jossey-Bass.
18. Meredith, J. R., and Mantel, S. J. (2003). Project Management, 5th ed. New York: Wiley.
19. Cooper, R. G. (2007). Doing it Right: Winning with New Products. Product Development Institute. www.iirusa. com/upload/wysiwyg/2008-M-Div/M2004/White_ Papers/Doing-it-right.pdf.
20. Project Management Institute (2013). A Guide to the Project Management Body of Knowledge, 5th ed. Newtown Square, PA: PMI.
21. Dye, L. D., and Pennypacker, J. S. (Eds.) (1999). Project Portfolio Management: Selecting and Prioritizing Projects for Competitive Advantage. West Chester, PA: Center for Business Practices.
22. Elton, J., and Roe, J. (1998, March–April). “Bringing dis- cipline to project management,” Harvard Business Review, 76(2): 153–59.
23. Cooper, R. G. (2007), as cited in note 19. 24. Artto, K. A. (2001). “Management of project-oriented
organization—Conceptual analysis,” in Artto, K. A., Martinsuo, M., and Aalto, T. (Eds.), Project Portfolio Management: Strategic Management Through Projects. Helsinki: Project Management Association.
25. Matheson, D., and Matheson, J. E. (1998). The Smart Organization: Creating Value through Strategic R&D. Boston, MA: Harvard Business School Press; Cooper, R. G., Edgett, S. J., and Kleinschmidt, E. J. (2001), Portfolio Management for New Products, 2nd ed. Cambridge, MA: Perseus Press.
26. Lehtonen, M. (2001). “Resource allocation and project portfolio management in pharmaceutical R&D,” in Artto, K. A., Marinsuo, M., and Aalto, T. (Eds.). (2001). Project Portfolio Management: Strategic Management Through Projects. Helsinki: Project Management Association, pp. 107–140.
27. Light, M., Rosser, B., and Hayward, S. (2005). Realizing the Benefits of Project and Portfolio Management. Stamford, CT: Gartner. www.atlantic-ec.com/edm/edm132/images/ gartner_PPM_magic_quadrant_2009.pdf
28. Brown, S. L., and Eisenhardt, K. M. (1997). “The art of continuous change: Linking complexity theory and time- paced evolution in relentlessly shifting organizations,” Administrative Science Quarterly, 42(1): 1–34.
29. Cooper, R., and Edgett, S. (1997). “Portfolio manage- ment in new product development: Less from the leaders I,” Research Technology Management, 40(5): 16–28; Longman, A., Sandahl, D., and Speir, W. (1999). “Preventing project proliferation,” PMNetwork, 13(7): 39–41; Dobson, M. (1999). The Juggler’s Guide to Managing Multiple Projects. Newtown Square, PA: Project Management Institute.
30. Blakeslee, T. R. (2008, September 2). “The elephant under the rug: Denial and failed energy projects,” RenewableEnergyWorld.com. www.renewableenergy- world.com/rea/news/article/2008/09/the-elephant- under-the-rug-denial-and-failed-energy-projects-53467; Baime, A. J. (2014, January 14). “Life with a Hydrogen Fuel Cell Honda,” Wall Street Journal. http://online.wsj. com/news/articles/SB100014240527023045495045793206 41877168558.
115
4 ■ ■ ■
Leadership and the Project Manager
Chapter Outline Project Profile
Leading by Example for the London Olympics—Sir John Armitt
introduction 4.1 leaders Versus Managers 4.2 How tHe Project Manager leads
Acquiring Project Resources Motivating and Building Teams Having a Vision and Fighting Fires Communicating
Project ManageMent researcH in Brief Leadership and Emotional Intelligence
4.3 traits of effectiVe Project leaders Conclusions About Project Leaders
Project Profile Dr. Elattuvalapil Sreedharan, India’s Project
Management Guru 4.4 Project cHaMPions
Champions—Who Are They? What Do Champions Do? How to Make a Champion
4.5 tHe new Project leadersHiP Project Managers in Practice
Bill Mowery, CSC Project Profile
The Challenge of Managing Internationally
4.6 Project ManageMent ProfessionalisM
Summary Key Terms Discussion Questions Case Study 4.1 In Search of Effective Project
Managers Case Study 4.2 Finding the Emotional
Intelligence to Be a Real Leader Case Study 4.3 Problems with John Internet Exercises PMP Certification Sample Questions Notes
Chapter Objectives After completing this chapter, you should be able to: 1. Understand how project management is a “leader-intensive” profession. 2. Distinguish between the role of a manager and the characteristics of a leader. 3. Understand the concept of emotional intelligence as it relates to how project managers lead. 4. Recognize traits that are strongly linked to effective project leadership. 5. Identify the key roles project champions play in project success. 6. Recognize the principles that typify the new project leadership. 7. Understand the development of project management professionalism in the discipline.
116 Chapter 4 • Leadership and the Project Manager
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Responsibilities and Competencies of the Project Manager (PMBoK sec. 1.7.1) 2. Interpersonal Skills of the Project Manager (PMBoK sec. 1.7.2) 3. Manage Project Team (PMBoK sec. 9.4) 4. Project Communications Management (PMBoK sec. 10) 5. Manage Stakeholder Engagement (PMBoK sec. 13.3)
Project Profile
leading by example for the london olympics—Sir john Armitt
England’s John Armitt had run major contractor, including pioneering pioneered UK’s first high-speed-rail system, and steer- ing the national railroad infrastructure company out of bankruptcy, when he was named chairman of the Olympic Delivery Authority (ODA), charged with building all infrastructure and facilities for London’s 2012 Olympic and Paralympic games.
“I was immediately interested,” he says. When London won the bid to develop the 2012 Olympics, the challenges it faced were significant. London is a
city that is heavily congested, with little open ground or natural sites left for development. The challenge of putting up multiple stadiums, sporting venues, Olympic Village structures, and transportation infrastructure defines the complex- ity of the massive project, all under the requirement that the completed work meet a fixed deadline. More than $10 billion worth of construction later, London’s widely acclaimed Olympics were enhanced by complete and fully function- ing facilities. A 600-acre urban site had been converted into a multi-venue park and athletes’ village on schedule and $1.6 billion under budget. In addition, not one life was lost during 70 million worker hours, and the project’s accident rate was well below the UK average. For his performance in steering the complex development project, Armitt was granted a knighthood from Queen Elizabeth II for his services.
Following some high-profile, troubled UK projects and the steady history of Olympic Games cost overruns (see the Sochi Olympics case in Chapter 8), the preparations for these games came under intense scrutiny. Armitt dealt with numerous external interests aiming to create “an atmosphere of calm,” allowing his team to focus on the task.
Described as a “stabilizing influence, giving confidence that the project could be delivered,” Armitt brought high credibility and a history of competence to his role in leading the development effort. Both politicians and executives involved in the multiple construction projects lauded his leadership. Ray O’Rourke, chairman and chief executive of Laing O’Rourke construction, was particularly complementary, noting that the success of London 2012 was a result of the careful leadership, continual presence, and understanding of the requirements needed to complete this enormous
Figure 4.1 Sir john Armitt
Source: Philip Wolmuth/Alamy
Introduction 117
undertaking. According to O’Rourke, perhaps Armitt’s biggest impact lay in his ability to manage the politics and inter- ests of numerous project stakeholders throughout the development of the Olympic sites.
When asked about the keys to making the Olympic project so successful, Armitt pointed to his approach to man- aging projects, honed through years of experience and overcoming multiple challenges. “What was different about the Olympics was the level of collaboration across all the projects. This came because of the recognition that to deliver these projects successfully, the client had a responsibility to provide the leadership,” he noted. Much of the project’s success comes from the clarity of the ODA’s vision, the leadership the ODA provided, and the way two years were set aside at the start for planning and preparation. Sir John says the credit belongs to the whole team. When he joined in 2007, construction was at an early stage, but the program “was in good shape,” he says.
Although Armitt is modest about his contribution, others associated with the London Games success are much more generous in pointing to his critical role in making the process come together. They note that, thanks to Armitt’s leadership in coordinating the work of hundreds of professionals, the project has consistently met targets throughout the building phase and set new benchmarks for sustainable construction and technical expertise. He was pivotal in all aspects of the Olympic and Paralympic Games infrastructure project, including finance, engineering, environment, management, and external relations, as well as acting as an ambassador for the project in explaining its complexities to the public. He is perhaps most proud of the long-term outcomes from the development: “The big opportunity was to take 600 acres of wasteland, a very heavily contaminated, rundown part of the east side of the city, and transform it into what is now going to be a new, magical place in London for the next 100 years.”
On the heels of his Olympic triumph, Sir John is not slowing down. He was appointed chair of a national commission to review how Britain could improve its poor record of project planning and delivery and assess the current state of the UK’s infrastructure, including transport, energy, telecommunications, and water infrastructure. For example, he recently warned about the dangers of energy brownouts throughout England if the needed construction of power plants contin- ues to be delayed due to political pressures. Finding major problems with a national infrastructure that was ranking 24th internationally in overall quality, Sir John has been an advocate of taking politicians out of the equation. For too long, he observed, politicians ducked the hard choices, delaying crucial decisions and repairs to the nation’s infrastructure because they were politically unpopular or lacked broad-based support. The Armitt review’s key recommendation is for a prop- erly independent body, along the lines of the Office of Budget Responsibility or the Committee on Climate Change, that would take the electoral cycle and political cowardice out of big infrastructure decisions.
“We need to find ministers who are prepared to say to their departments, ‘You are free to make mistakes. You are free to mentally allocate some of what you are doing to the 70/30 projects where, in fact, there is a good 30% chance that it will not work—but the 70% is worth going for, so let’s go for that. If it goes wrong, you won’t be hanged, but you will actually be praised for having a go. Because we are willing to take a risk, there will be certain things that will be successful.’” As he noted, innovation carries risk, but it can also deliver big wins.
“If you want to innovate, you have to accept that there are risks, and so you need flexibility in your budget,” states Armitt. “And you need to be open and honest about that.”1
introduction
Leadership is often recognized by its accomplishments. After cofounding Apple in 1976, Steven Jobs served as both a visible spokesperson for the corporation for many years, as well as the guid- ing hand behind many of its most significant product developments. Starting with his work in developing many of the technical and crowd-pleasing features of the Macintosh computer in 1984, Jobs always made his presence felt, often to the discomfort of other members of the organization who found his leadership style abrasive and demanding. In fact, less than two years after the suc- cess of the Macintosh, Jobs was fired from the company he started. His return as an older and wiser executive a decade later sparked a resurgence in a company that was nearly bankrupt, devoid of new ideas, and without a strong sense of strategic direction. At the time of his return, Apple’s market capitalization was $3 billion. However, over the following 15 years (until his death in 2011), Jobs spearheaded some of the most innovative new electronic consumer products ever conceived, revaluing the firm at over $350 billion. His impact on iconic products such as the iPhone, iPad, and iPod left him with a reputation as a visionary technology leader and helped make Apple one of the most profitable and valuable corporations in the world.
The situation Jeff Immelt faced as CEO of General Electric was very different. Taking over for the charismatic and highly successful Jack Welch, Immelt inherited a company that was quite liter- ally the face of American business, phenomenally successful, and perhaps the most valued brand in the world. Immelt set about recasting the corporation along his own vision. By most accounts, his record has been mixed. Stock prices have been sluggish and a number of acquisitions did not
118 Chapter 4 • Leadership and the Project Manager
pan out and had to be resold (notably, GE’s purchase of NBC Universal). On the other hand, he has been quick to lead the firm’s recovery from the Great Recession of 2009 and has been instrumental in rebuilding the company’s reputation as one of the most admired firms in the world. Coupled with his leadership of President Obama’s Council on Jobs and Competitiveness, Immelt remains a widely recognized head of a highly respected organization. By his own account, his tenure at GE has been challenging and demanding, but he also expects to leave the firm on solid footing when he retires.
Leadership is a difficult concept to examine because we all have our own definition of lead- ership, our own examples of leaders in actions, and our own beliefs about what makes leaders work. The topic of leadership has generated more than 30,000 articles and thousands of books. Although there are many definitions of leadership, one useful definition that we will employ in this chapter is that leadership is the ability to inspire confidence and support among the people who are needed to achieve organizational goals.2 For the project manager, leadership is the process by which she influences the project team to get the job done!
True leadership from the project manager has been shown time and again to be one of the most important characteristics in successful project management. The impact of good leader- ship is felt within the team and has an effect on other functional managers and important project stakeholders.3 In fact, project management has been viewed as one of the most “leader-intensive” undertakings within an organization.4
4.1 Leaders Versus Managers
Most leaders are quick to reject the idea that they were, by themselves, responsible for the suc- cesses attained or the important changes undertaken within their organizations. For them, leader- ship involves an awareness of a partnership, an active collaboration between the leader and the team. In project management, successful team leaders are often those who were best able to create the partnership attitude between themselves and their teams. As Peter Block5 notes, the idea of leadership as partnership is critical to project management because it highlights the important manner in which all leaders are ultimately dependent on their teams to achieve project goals. Four things are necessary to promote the partnership idea between the project manager and the team:
1. Exchange of purpose: Partnerships require that every worker be responsible for defining the project’s vision and goals. A steady dialogue between the project manager and team mem- bers can create a consistent and widely shared vision.
2. A right to say no: It is critical that all members of the project team feel they have the ability to disagree and to offer contrary positions. Supporting people’s right to voice their disagree- ments is a cornerstone of a partnership. Losing arguments is acceptable; losing the right to disagree is not.
3. Joint accountability: In a partnership, each member of the project team is responsible for the project’s outcomes and the current situation, whether it is positive or shows evidence of problems. The project is shared among multiple participants and the results of the project are also shared.
4. Absolute honesty: Partnerships demand authenticity. An authentic atmosphere promotes straightforwardness and honesty among all participants. Because we respect each team mem- ber’s role on the project, we make an implicit pact that all information, both good and bad, becomes community information. Just as honesty is a cornerstone of successful marriages, it is critical in project team relationships.
Leadership is distinguishable from other management roles in a number of ways. A manager is an individual who has received a title within the organization that permits her to plan, organize, direct, and control the behavior of others within her department or area of oversight. Although leadership may be part of the manager’s job, the other management roles are more administrative in nature. Leadership, on the other hand, is less about administration and more about interper- sonal relationships. Leadership involves inspiring, motivating, influencing, and changing behav- iors of others in pursuit of a common goal. Leaders embrace change; managers support the status quo. Leaders aim for effectiveness; managers aim for efficiency. Figure 4.2 illustrates some of the distinctions between typical management behavior and the kinds of processes with which leaders are engaged. Although leaders need to recognize the importance of managerial duties, it is often difficult for managers to recognize the nonstandard, interpersonal nature of leadership. However,
4.2 How the Project Manager Leads 119
this is not to say that leadership is merely an innate characteristic that some of us have and others do not. Most research and common experience seem to indicate that leadership behaviors can be taught. That is the good news: Leadership can be learned. And a number of properties and models of leadership are quite relevant for project managers.
Although we will use the term project manager throughout the chapter, we do so only because it has become the common designation for the head or leader of a project team. A much better description would be “project leader.” Successful project managers are successful project leaders.
This chapter will examine both the general concept of organizational leadership and the spe- cial conditions under which project managers are expected to operate. What is it about projects that make them a unique challenge to manage? Why is leadership such an integral role in success- ful project management? The more we are able to understand the dynamics of this concept, the better able we will be to effectively manage our implementation projects and train a future genera- tion of managers in the tasks and skills required for them to perform their jobs.
4.2 How tHe Project Manager Leads
The wide range of duties that a project manager is expected to take on covers everything from direct supervision to indirect influence, from managing “hard” technical details to controlling “soft” people issues, from developing detailed project plans and budgets to adjudicating team member quarrels and smoothing stakeholder concerns. In short, the project manager’s job encap- sulates, in many ways, the role of a mini-CEO, someone who is expected to manage holistically, focusing on the complete project management process from start to finish. In this section, we will examine a variety of the duties and roles that project managers must take on as they work to suc- cessfully manage their projects.
acquiring Project resources
Project resources refer to all personnel and material resources necessary to successfully accomplish project objectives. Many projects are underfunded in the concept stage. This lack of resource sup- port can occur for several reasons, including:
1. The project’s goals are deliberately vague. Sometimes a project is kicked off with its overall goals still somewhat “fluid.” Perhaps the project is a pure research effort in a laboratory or an information technology project designed to explore new possibilities for chip design or com- puter speed. Under circumstances such as these, companies sponsor projects with a deliber- ately “fuzzy” mandate, in order to allow the project team maximum flexibility.
administer
demand respect
maintain the status quo focus on systems
strive for control
short-term view
focused on the bottom lineimitate
do things right
state their position
innovate
command respect
develop new processes focus on people
inspire trust
have long-term goal
focused on potentialoriginate
do the right thing
earn their position
LEADERS
MANAGERS
Figure 4.2 Differences Between Managers and leaders
120 Chapter 4 • Leadership and the Project Manager
2. The project lacks a top management sponsor. As we will learn, having a project champion in the top management of the organization can be very helpful to project development, par- ticularly in gaining support for the project with sufficient resources. On the other hand, when no powerful sponsor emerges for the project, it may face underfunding compared to other projects competing for scarce company resources.
3. The project requirements were deliberately understated. It is not uncommon for project resource needs to be purposely understated at the outset in order to get them accepted by the organization. Contractors bidding on work for governmental agencies are known to some- times underbid to win these jobs and then renegotiate contracts after the fact or find other ways to increase profit margins later.
4. So many projects may be under development that there is simply not enough money to go around. A common reason for lack of resource support for a project is that the company is constantly developing so many projects that it cannot fund all of them adequately. Instead, the company adopts a “take it or leave it” attitude, presenting project managers with the option of either accepting insufficient funding or receiving none at all.
5. An attitude of distrust between top management and project managers. Sometimes projects receive low funding because top management is convinced that project managers are deliber- ately padding their estimates to gain excessive funding.
Regardless of the reasons for the lack of project resources, there is no doubt that many projects face extremely tight budgets and inadequate human resources.
Project managers, however, do have some options open to them as they seek to supplement their project’s resource support. If the resource problem is a personnel issue, they may seek alter- native avenues to solve the difficulty. For example, suppose that you were the project manager for an upgrade to an existing software package your company uses to control materials flow and warehousing in manufacturing. If trained programmers were simply unavailable to work on your upgrade project, you might seek to hire temporary contract employees. People with specialized skills such as programming can often be acquired on a short-term basis to fill gaps in the availability of in-house personnel to do the same assignments. The key point to remember is that recognizing and responding to resource needs is a critical function of project leadership.
Another common tactic project managers use in the face of resource shortfalls is to rely on negotiation or political tactics to influence top management to provide additional support. Because resources must often be negotiated with top management, clearly the ability to successfully negoti- ate and apply influence where the project manager has no direct authority is a critical skill. Again, leadership is best demonstrated by the skills a project manager uses to maintain the viability of the project, whether dealing with top management, clients, the project team, or other significant stakeholders.
Motivating and Building teams
The process of molding a diverse group of functional experts into a cohesive and collaborative team is not a challenge to be undertaken lightly. Team building and motivation present enor- mously complex hurdles, and dealing comfortably with human processes is not part of every man- ager’s background. For example, it is very common within engineering or other technical jobs for successful employees to be promoted to project manager. They typically become quickly adept at dealing with the technical challenges of project management but have a difficult time understand- ing and mastering the human challenges. Their background, training, education, and experiences have prepared them well for technical problems but have neglected the equally critical behavioral elements in successful project management.
In considering how to motivate individuals on our project teams, it is important to recognize that motivation ultimately comes from within each of us; it cannot be stimulated solely by an external presence. Each of us decides, based on the characteristics of our job, our work environ- ment, opportunities for advancement, coworkers, and so forth, whether we will become motivated to do the work we have been assigned. Does that imply that motivation is therefore outside of the influence of project managers? Yes and no. Yes, because motivation is an individual decision: We cannot make someone become motivated. On the other hand, as one career army officer puts it, “In the army, we can’t force people to do anything, but we can sure make them wish they had done it!” Underlying motivation is typically something that team members desire, whether it comes from a
4.2 How the Project Manager Leads 121
challenging work assignment, opportunity for recognition and advancement, or simply the desire to stay out of trouble. Successful project managers must recognize that one vital element in their job description is the ability to recognize talent, recruit it to the project team, mold a team of inter- active and collaborative workers, and apply motivational techniques as necessary.
Having a Vision and Fighting Fires
Successful project managers must operate on boundaries. The boundary dividing technical and behavioral problems is one example, and project managers need to be comfortable with both tasks. Another boundary is the distinction between being a strategic visionary and a day-to-day firefighter. Project managers work with conceptual plans, develop the project scope in line with organizational directives, and understand how their project is expected to fit into the company’s project portfolio. In addition, they are expected to keep their eyes firmly fixed on the ultimate prize: the completed project. In short, project managers must be able to think strategically and to consider the “big picture” for their projects. At the same time, however, crises and other project challenges that occur on a daily basis usually require project managers to make immediate, tacti- cal decisions, to solve current problems, and to be detail-oriented. Leaders are able to make the often daily transition from keeping an eye on the big picture to dealing with immediate, smaller problems that occur on a fairly regular basis.
One executive in a project organization highlighted this distinction very well. He stated, “We seek people who can see the forest for the trees but at the same time, are intimately familiar with the species of each variety of tree we grow. If one of those trees is sick, they have to know the best formula to fix it quickly.” His point was that a visionary who adopts an exclusively strategic view of the project will discover that he cannot deal with the day-to-day “fires” that keep cropping up. At the same time, someone who is too exclusively focused on dealing with the daily challenges may lose the ultimate perspective and forget the overall picture or the goals that define the project. The balance between strategic vision and firefighting represents a key boundary that successful project managers must become comfortable occupying.
communicating
Former president Ronald Reagan was labeled “The Great Communicator.” He displayed a seem- ingly natural and fluent ability to project his views clearly, to identify with his audience and shape his messages accordingly, and to not waver or contradict his basic themes. Project managers require the same facility of communication. In Chapter 2 we examined the role of stakeholder management in successful projects. These stakeholders can have a tremendous impact on the likelihood that a project will succeed or fail; consequently, it is absolutely critical to maintain strong contacts with all stakeholders throughout the project’s development. There is a common saying in project manage- ment regarding the importance of communication with your company’s top management: “If they know nothing of what you are doing, they assume you are doing nothing.” The message is clear: We must take serious steps to identify relevant stakeholders and establish and maintain communica- tions with them, not sporadically but continually, throughout the project’s development.
Negotiating is another crucial form of communicating. We will discuss the process of nego- tiation in detail in Chapter 6; however, it is important to recognize that project leaders must become adept at negotiating with a wide variety of stakeholders. Leaders negotiate with clients over critical project specifications (for example, a builder may negotiate with house buyers over the number of windows or the type of flooring that will be laid in the kitchen); they negotiate with key organizational members, such as department heads, for resources or budget money; they negotiate with suppliers for prices and delivery dates for materials. In fact, the total num- ber of ways in which project leaders routinely engage in negotiation is difficult to count. They understand that within many organizations, their authority and power to impose their will auto- cratically is limited. As a result, negotiation is typically a constant and necessary form of com- munication for effective project leaders.
Communicating also serves other valuable purposes. Project managers have been described as “mini billboards,” the most visible evidence of the status of their project. The ways in which project managers communicate, the messages they send (intentional or unintentional), and the manner in which they discuss their projects send powerful signals to other important stakehold- ers about the project. Whether through developing good meeting and presentation skills, a facility
122 Chapter 4 • Leadership and the Project Manager
for writing and speaking, or through informal networking, project managers must recognize the importance of communication and become adept at it.
One of the most critical means by which project managers can communicate is through their ability to run productive meetings. Meeting skills are important because project managers spend a large amount of time in meetings—meetings with team members, top management, clients, and other critical project stakeholders. Meetings serve a number of purposes for the project team, including:6
1. They define the project and the major team players. 2. They provide an opportunity to revise, update, and add to all participants’ knowledge base,
including facts, perceptions, experience, judgments, and other information pertinent to the project.
3. They assist team members in understanding how their individual efforts fit into the overall whole of the project as well as how they can each contribute to project success.
4. They help all stakeholders increase their commitment to the project through participation in the management process.
5. They provide a collective opportunity to discuss the project and decide on individual work assignments.
6. They provide visibility for the project manager’s role in managing the project.
As a result of the wide variety of uses meetings serve, the ability of project managers to become adept at running them in an efficient and productive manner is critical. Meetings are a key method for communicating project status, collectivizing the contributions of individual team members, developing a sense of unity and esprit de corps, and keeping all important project stakeholders up-to-date concerning the project status.7
Two forms of leadership behaviors are critical for effectively running project meetings. The first type of behavior is task-oriented; that is, it is intended to emphasize behaviors that contribute to completing project assignments, planning and scheduling activities and resources, and providing the necessary support and technical assistance. Task-oriented behavior seeks to get the job done. At the same time, effective project leaders are also concerned about group maintenance behavior. Group maintenance suggests that a project manager cannot act at the expense of concern for the team. Group maintenance behavior consists of supportive activities, including showing confidence and trust, acting friendly and supportive, working with subordinates to understand their problems, and recognizing their accomplishments. Group maintenance behavior increases cohesiveness, trust, and commitment, and it satisfies all team members’ needs for recognition and acceptance.
Table 4.1 identifies some of the critical task and group maintenance behaviors that occur in productive project meetings. Among the important task-oriented behaviors are structuring
taBLe 4.1 task and Group Maintenance Behaviors for Project Meetings8
task-oriented Behavior Specific outcome
1. Structuring process Guide and sequence discussion
2. Stimulating communication Increase information exchange
3. Clarifying communication Increase comprehension
4. Summarizing Check on understanding and assess progress
5. Testing consensus Check on agreement
Group Maintenance Behavior Specific outcome
1. Gatekeeping Increase and equalize participation
2. Harmonizing Reduce tension and hostility
3. Supporting Prevent withdrawal, encourage exchange
4. Setting standards Regulate behavior
5. Analyzing process Discover and resolve process problems
Source: Gary A. Yukl. Leadership in Organizations, 5th ed., p. 329. Copyright © 2002. Adapted by permission of Pearson Education, Inc., Upper Saddle River, NJ.
4.2 How the Project Manager Leads 123
the flow of discussion to ensure that a proper meeting agenda is followed, stimulating conversa- tion among all meeting participants, clarifying and summarizing decisions and perceptions, and testing consensus to identify points of agreement and discord. The project manager is the key to achieving effective task behaviors, particularly through a clear sense of timing and pacing.9 For example, pushing for consensus too quickly or stifling conversation and the free flow of ideas will be detrimental to the development of the project team and the outcomes of meetings. Likewise, continually stimulating conversation even after agreement has been achieved only serves to pro- long a meeting past the point where it is productive.
Among the group maintenance behaviors that effective project leaders need to consider in running meetings are gatekeeping to ensure equal participation, harmonizing to reduce ten- sion and promote team development, supporting by encouraging an exchange of views, regulat- ing behavior through setting standards, and identifying and resolving any “process” problems that cause meeting participants to feel uncomfortable, hurried, or defensive. Group maintenance behaviors are just as critical as those related to task and must be addressed as part of a successful meeting strategy. Taken together, task and group maintenance goals allow the project manager to gain the maximum benefit from meetings, which are so critical for project communication and form a constant demand on the project manager’s time.
Although running productive meetings is a critical skill for project leaders, they also need to recognize that face-to-face opportunities to communicate are not always possible. In situations where team members are geographically dispersed or heavily committed to other activities, find- ing regular times for progress meetings can be difficult. As we will discuss in Chapter 6 on virtual teams, modern international business often requires that meetings be conducted virtually, through platforms such as Skype or Adobe Connect. These electronic media and new technologies have shifted the manner in which many business communications are handled. That is, project leaders must possess the ability to handle modern electronic forms of communication, including e-mail, Twitter, and Facebook social networking sites, and emerging methods for online communication. For example, it is becoming more common for project leaders to set up social networking or group collaboration sites for their projects, including project team Facebook accounts, Twitter feeds, and Yammer collaboration spaces. These sites can create an atmosphere of teamwork and help pro- mote networking, while also maximizing the ways in which project leaders can communicate with members of their team. In short, although project team meetings remain one of the most useful methods for leaders to effectively communicate with their subordinates and other stakeholders, it is not a requirement that their meetings have to be face-to-face to be effective.
Table 4.2 paints a portrait of the roles project leaders play in project success by ranking the nine most important characteristics of effective project managers in order of importance. The data are based on a study of successful American project managers as perceived by project team members.10 Note that the most important is the willingness of the project manager to lead by example, to highlight the project’s goals, and to first commit to the challenge before calling upon other team members to make a similar commitment.
Equally interesting are findings related to the reasons why a project manager might be viewed as ineffective. These reasons include both personal quality flaws and organizational factors. Table 4.3
taBLe 4.2 characteristics of Project Managers Who lead
rank characteristics of an effective Project Manager
1 Leads by example
2 Visionary
3 Technically competent
4 Decisive
5 A good communicator
6 A good motivator
7 Stands up to top management when necessary
8 Supports team members
9 Encourages new ideas
124 Chapter 4 • Leadership and the Project Manager
Box 4.1
Project Management research in Brief
Leadership and Emotional Intelligence
An interesting perspective on leadership has emerged in recent years as greater levels of research have exam- ined the traits and abilities associated with effective project leadership. While characteristics such as technical skill, analytical ability, and intelligence are all considered important traits in project managers, an additional concept, the idea of emotional intelligence, has been suggested as a more meaningful measure of leadership effectiveness. Emotional intelligence refers to leaders’ ability to understand that effective leadership is part of the emotional and relational transaction between subordinates and themselves. There are five elements that characterize emotional intelligence: (1) self-awareness, (2) self-regulation, (3) motivation, (4) empathy, and (5) social skill. With these traits, a project manager can develop the kind of direct, supportive relationships with the project team members that are critical to creating and guiding an effective team.
Self-AwAreneSS. Self-awareness implies having a deep understanding of one’s own strengths and weak- nesses, ego needs, drives, and motives. To be self-aware means to have a clear perspective of one’s self; it does not mean to be excessively self-centered or self-involved. When I am self-aware, I am capable of interacting better with others because I understand how my feelings and attitudes are affecting my behavior.
Self-regulAtion. A key ability in successful leaders is their willingness to keep themselves under control. One way each of us practices self-control is our ability to think before we act—in effect, to suspend judgment. Effective leaders are those individuals who have developed self-regulation; that is, the ability to reflect on events, respond to them after careful consideration, and avoid the mistake of indulging in impulsive behavior.
MotivAtion. Effective project leaders are consistently highly motivated individuals. They are driven to achieve their maximum potential and they recognize that in order to be successful, they must also work with members of the project team to generate the maximum performance from each of them. There are two important traits of effective managers with regard to motivation: First, they are always looking for ways to keep score; that is, they like concrete or clear markers that demonstrate progress. Second, effective project managers consistently strive for greater and greater challenges.
eMpAthy. One important trait of successful project managers is their ability to recognize the differences in each of their subordinates, make allowances for those differences, and treat each team member in a manner that is designed to gain the maximum commitment from that person. empathy means the willingness to consider other team members’ feelings in the process of making an informed decision.
SociAl Skill. The final trait of emotional intelligence, social skill, refers to a person’s ability to manage relation- ships with others. Social skill is more than simple friendliness; it is friendliness with a purpose. Social skill is our ability to move people in a direction we think desirable. Among the offshoots of strong social skills are the manner in which we demonstrate persuasiveness, rapport, and building networks.
Emotional intelligence is a concept that reflects an important point: Many of the most critical project man- agement skills that define effective leadership are not related to technical prowess, native analytical ability, or IQ. Of much greater importance are self-management skills, as reflected in self-awareness, self-regulation, and motivation and relationship management skills, shown through our empathy and social abilities. Remember: Project management is first and foremost a people management challenge. Once we understand the role that leadership behaviors play in effective project management, we can better identify the ways in which we can use leadership to promote our projects.11
taBLe 4.3 characteristics of Project Managers Who Are Not leaders
Personal flaws Percentage organizational factors Percentage
Sets bad example 26.3% Lack of top management support 31.5%
Not self-assured 23.7 Resistance to change 18.4
Lacks technical expertise 19.7 Inconsistent reward system 13.2
Poor communicator 11.8 A reactive organization rather than a proactive, planning one 9.2
Poor motivator 6.6 Lack of resources 7.9
4.3 Traits of Effective Project Leaders 125
lists the most important personal flaws and the organizational factors that render a project man- ager ineffective. These factors are rank-ordered according to the percentage of respondents who identified them.
4.3 traits oF eFFectiVe Project Leaders
A great deal of research on organizational leadership has been aimed at uncovering the traits that are specific to leaders. Because leaders are not the same thing as managers, they are found in all walks of life and occupying all levels of organizational hierarchies. A study that sought to uncover the traits that most managers believe leaders should possess is particularly illuminating. A large sample survey was used to ask a total of 2,615 managers within U.S. corporations what they con- sidered to be the most important characteristics of effective leaders.12
The results of this survey are intriguing. A significant majority of managers felt that the most important characteristic of superior leaders was basic honesty. They sought leaders who say what they mean and live up to their promises. In addition, they sought competence and intelligence, vision, inspiration, fairness, imagination, and dependability, to list a few of the most important characteristics. These traits offer an important starting point for better understanding how lead- ers operate and, more importantly, how the other members of the project team or organization expect them to operate. Clearly, the most important factors we seek in leaders are the dimensions of trust, strength of character, and the intelligence and competence to succeed. The expectation of success is also important; the majority of followers do not tag along after failing project managers for very long.
Research also has been done that is specifically related to project managers and the leadership traits necessary to be successful in this more specialized arena. Three studies in particular shed valuable light on the nature of the special demands that project managers face and the concomitant nature of the leadership characteristics they must develop. One study analyzed data from a number of sources and synthesized a set of factors that most effective project leaders shared in common.13 It identified five important characteristics for proficient project management: oral communication skills; influencing skills; intellectual capabilities; the ability to handle stress; and diverse manage- ment skills, including planning, delegation, and decision making. These findings correlate with the fact that most project managers do not have the capacity to exercise power that derives from formal positional authority; consequently, they are forced to develop effective influencing skills.
The second study also identified five characteristics closely associated with effective project team leaders:14
• Credibility: Is the project manager trustworthy and taken seriously by both the project team and the parent organization?
• Creative problem-solver: Is the project manager skilled at problem analysis and identification? • Tolerance for ambiguity: Is the project manager adversely affected by complex or ambiguous
(uncertain) situations? • Flexible management style: Is the project manager able to handle rapidly changing situations? • Effective communication skills: Is the project manager able to operate as the focal point for
communication from a variety of stakeholders?
The final study of necessary abilities for effective project managers collected data from 58 firms on their project management practices and the skills most important for project managers.15 The researchers found seven essential project manager abilities, including:
1. Organizing under conflict: Project managers need the abilities to delegate, manage their time, and handle conflict and criticism.
2. Experience: Having knowledge of project management and other organizational proce- dures, experience with technical challenges, and a background as a leader are helpful.
3. Decision making: Project managers require sound judgment, systematic analytical ability, and decision-making skills.
4. Productive creativity: This ability refers to the need for project managers to show creativ- ity; develop and implement innovative ideas; and challenge the old, established order.
5. Organizing with cooperation: Project managers must be willing to create a positive team atmosphere, demonstrate a willingness to learn, and engage in positive interpersonal contact.
126 Chapter 4 • Leadership and the Project Manager
6. Cooperative leadership: This skill refers to the project manager’s ability to motivate others, to cooperate, and to express ideas clearly.
7. Integrative thinking: Project managers need to be able to think analytically and to involve others in the decision-making process.
conclusions about Project Leaders
Given the wide-ranging views, it is important to note the commonalities across these studies and to draw some general conclusions about the nature of project leadership. The specific conclusions that have practical relevance to selecting and training effective project leaders suggest several themes, including:
• Effective project managers must be good communicators. • Project leaders must possess the flexibility to respond to uncertain or ambiguous situations
with a minimum of stress. • Strong project leaders work well with and through their project team. • Good project leaders are skilled at various influence tactics.
Although examining the traits of successful leaders, and specifically project leaders, is valu- able, it presents only part of the picture. One key to understanding leadership behavior is to focus on what leaders do rather than who they are.
Project Profile
Dr. elattuvalapil Sreedharan, india’s Project Management Guru
The capital of India, Delhi, is a city of amazing contrasts. Home to 17 million people, many living in abject poverty, the city boasts some of the country’s leading high-tech centers for industry and higher learning. Traffic snarls are notorious, and pollution levels are high as the city’s 7,500 buses slowly navigate crowded streets. Like other urban centers in India, Delhi desperately needs enhanced infrastructure and a commuter rail system. Unfortunately, India’s track record for large-capital projects is poor; there are many examples of projects that have run well over budget and behind schedule. A recent example highlights the continuing problems with managing infrastructure projects in India. Delhi launched
Figure 4.3 Dr. e. Sreedharan in one of the Delhi Metro tunnels
Source: Prakash Singh/AFP/Getty Images
4.4 Project Champions 127
a multiyear project to host the Commonwealth Games in the fall of 2010, a sporting event bringing together athletes from 71 territories and countries associated with the former British Empire. Unfortunately, problems with sanitation, inadequate construction, numerous delays, and poor planning left the country with a very visible black eye and rein- forced the popular view that large-scale infrastructure projects in India are, at best, a chancy venture.
Set against this backdrop, when the city announced its intention to develop a metro system, the rest of the coun- try was hesitant of its chances of success. After all, Calcutta’s metro had taken 22 years to create a mere 17-kilometer stretch, had overrun its budget by a multiple of 14, and had resulted in building collapses and multiple deaths from the construction. What chance did Delhi have of doing better? In fact, Delhi’s Metro system has been a huge success, and it has recently completed the second phase of the $2.3 billion project, with current daily ridership of 2.2 million passengers, earning the Metro organization nearly $900,000 a day in revenues. Not only that, the rail line planned for this phase, covering nearly 160 kilometers, with 132 operational stations, is running well ahead of schedule. So unex- pected was this circumstance that it led BusinessWeek magazine to label the project’s leader, Elattuvalapil Sreedharan, “a miracle worker.”
Sreedharan came to the project with an already enviable record of managing projects throughout India. In 1963, he had been given six months to repair the Pamban Bridge. Sreedharan, barely 30 at the time, took 46 days to finish the job. In the 1990s, he was in charge of Konkan Railway, a 760-kilometer stretch cutting across the Western Ghats mountain range. Nearly 150 bridges and 92 tunnels had to be built. He took seven years from the initial survey until the launch. Clearly, Mr. Sreedharan has determined the secrets to making projects work. So what has been the secret of Sreedharan’s success, especially in a land where so many before him have failed in similar ventures?
First, he says, is the importance of accountability. “One of the biggest impediments to the timely completion of infrastructure projects in India today is a lack of focus and accountability.” Poor performers are not held responsible for failure to hit their targets, so where is the incentive to be on time? According to Sreedharan, his organization took a different approach: “The organization’s mission and culture include clearly defined objectives and a vision, which was to complete the project on time and within the budget without causing inconvenience to the public.” Sreedharan also has almost an obsession with deadlines. Every officer in the Metro project keeps a digital board that shows the number of days left for the completion of the next target. Another critical element in his success has been meticulous advance planning. Sreedharan said, “All tenders (bids) from contractors are decided very fast, sometimes in 18 or 19 days. [I]t is essential to lay down the criteria for settling tenders clearly in advance.”
Finally, Sreedharan is adamant about transparency and constant communication with all project stakeholders. Under his watch, the project maintains open communication with all contractors, updating them about plans and hold- ing frequent meetings and workshops. A unique feature of the Delhi Metro project is that it has held nearly a hundred “community interaction programs” (CIPs), which are open forums during which local residents are given the chance to discuss aspects of the construction that could affect them. The CIP meetings are designed to allow advocacy groups, neighborhood organizations, and other stakeholders to share ideas, air grievances, and ask questions as the project moves forward. Regarding the questions from CIP meetings, Sreedharan comments, “Most of them are resolved on the spot, while necessary action and remedial measures are taken on the rest.” Sreedharan’s team has used this transpar- ency and open communication approach to allay the concerns of affected groups and spur their cooperation with the project rather than their antagonism.
The total project is designed to be rolled out in four phases, with a total coverage of 152 miles when finished. The final phase is due to be completed in 2020. The Metro project is currently in the midst of its phase three goals. In fact, work on the Metro is proceeding so smoothly that Sreedharan, now 80 years old, does not believe his presence is needed at the work site on a regular basis, knowing that the principles he established will continue to guide the work to its completion. Sreedharan retired in December 2011. He wanted to return to his ancestral village and live a placid life in Ponnani, on the southwestern Malabar Coast. As with so many successful people, retired life has not worked out the way he had planned. Kerala’s Chief Minister has already enlisted Sreedharan’s help in implementing the Kochi Metro project.
Sreedharan’s leadership principles echo beyond the challenge of infrastructure: “I believe that there are three basic qualities for a successful life,” he notes, “punctuality, integrity and good morals, and professional competence. The future of India will be in good hands if these qualities are assiduously nurtured by the youth of our nation.”16
4.4 Project cHaMPions
Dr. Thomas Simpson (not his real name) came back from a recent medical conference enthusiastic about an innovative technique that he felt sure was just right for his hospital. He had witnessed the use of information system technology that allowed doctors to link wirelessly with patient records, retrieve documentation, and place prescription orders online. With this system, a doctor could directly input symptoms and treatment protocols on a laptop in the patient’s room. The benefit of the new system was that it significantly upgraded the hospital’s approach to patient record keep- ing while providing the doctor with more immediate flexibility in treatment options.
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As chief of the medical staff, Dr. Simpson had some influence in Grace Hospital, but he could not simply order the hospital to adopt the technology. Instead, over a period of six months, he worked tirelessly to promote the system, setting up information seminars with the software designers and question-and-answer sessions with the hospital’s administration and other impor- tant stakeholders. Eventually, his persistence paid off. The hospital adopted the technology and has been using it for the past two years. In spite of some start-up problems resulting from the need to transfer old paper records to the system, Grace Hospital now brags that it is “paper-record” free, and all because of Dr. Simpson’s efforts.
In this example, Dr. Simpson displayed all the qualities of a project champion. Champions, sometimes referred to as project sponsors, are well known both in the organizational theory lit- erature and within organizations themselves. A champion is an individual who “identifies with a new development (whether or not he made it), using all the weapons at his command, against the funded resistance of the organization. He functions as an entrepreneur within the organiza- tion, and since he does not have official authority to take unnecessary risks . . . he puts his job in the organization (and often his standing) on the line . . . . He (has) great energy and capacity to invite and withstand disapproval.”17
Champions possess some remarkable characteristics. First, it is assumed (in fact, almost expected) that champions will operate without the officially sanctioned approval of their organi- zations. Often they set themselves directly at odds with the established order or popular way of thinking. Standard operating procedures are anathema to champions, and they are usually unafraid of official disapproval. Second, champions have a true entrepreneurial talent for recognizing value in innovative ideas or products; they see things the typical organizational member does not. Third, champions are risk takers in every sense of the word. Their single-minded pursuit of truth in what- ever innovative form it may take often puts them at odds with entrenched bureaucrats and those who do not share their enthusiasm for a new product or idea.
Capturing the enthusiasm and fervor that champions have for their ideas is difficult. Tom Peters, best-selling author, describes champions as “fanatics” in their single-minded pursuit of their pet ideas. He states, “The people who are tenacious, committed champions are often a royal pain in the neck . . . . They must be fostered and nurtured—even when it hurts.”18 This statement captures the essence of the personality and impact of the champion: one who is at the same time an organizational gadfly and vitally important for project and organizational success.
champions—who are they?
Champions do not consistently occupy the same positions within organizations. Although senior managers often serve as champions, many members of the organization can play the role of implementation champion, with different systems or at different times with the same system implementation project. Among the most common specific types of champions are creative origi- nator, entrepreneur, godfather or sponsor, and project manager.19
creatiVe originator The creative originator is usually an engineer, scientist, or similar per- son who is the source of and driving force behind the idea. The fact that the individual who was behind the original development of the idea or technology can function as the project champion is hardly surprising. No one in the organization has more expertise or sense of vision where the new information system is concerned. Few others possess the technical or creative ability to develop the implementation effort through to fruition. Consequently, many organizations allow, and even actively encourage, the continued involvement of the scientist or engineer who originally devel- oped the idea upon which the project is based.
entrePreneur An entrepreneur is the person who adopts the idea or technology and actively works to sell the system throughout the organization, eventually pushing it to success. In many organizations, it is not possible, for a variety of reasons, for the creative originator or original project advocate to assume the role of champion. Often, scientists, technicians, and engineers are limited by their need to perform the specifically demarcated duties of their positions, and thereby precluded from becoming part of the project implementation team. In such situations, the indi- vidual who steps forward as the implementation champion is referred to as an organizational entre- preneur. The entrepreneur is an organizational member who recognizes the value of the original idea or technology and makes it a personal goal to gain its acceptance throughout the relevant
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organizational units that would be employing it. Entrepreneurial champions are usually middle- to upper-level managers who may or may not have technical backgrounds. In addition to perform- ing their own duties within the organization, they are constantly on the lookout for innovative and useful ideas to develop.
“godFatHer” or sPonsor The project champion as godfather is a senior-level manager who does everything possible to promote the project, including obtaining the needed resources, coach- ing the project team when problems arise, calming the political waters, and protecting the project when necessary. A sponsor has elected to actively support acquisition and implementation of the new technology and to do everything in his power to facilitate this process. One of the most impor- tant functions of godfathers is to make it known throughout the organization that this project is under their personal guidance or protection. In addition to supplying this “protection,” the god- father engages in a variety of activities of a more substantial nature in helping the implementation effort succeed. Godfathers also use their influence to coach the team when problems arise in order to decrease the likelihood of political problems derailing the project.
Project Manager Another member of the organization who may play the role of champion is the project manager. At one time or another, almost every project manager has undertaken the role of champion. When one considers the definition of a project champion and the wide range of duties performed in that role, it becomes clear why the manager of the project is often in the position to engage in championing behaviors. Certainly, project managers are strongly identified with their projects, and to a degree their careers are directly tied to the successful completion of their projects. Project managers, however, may have limited effectiveness as champions if they do not possess a higher, organizationwide status that makes it possible for them to serve as project advocates at upper management levels. For example, a project manager may not have the authority to secure additional project resources or gain support throughout the larger organization.
what do champions do?
What exactly do champions do to aid the implementation process? Table 4.4 lists two sets of championing activities that were identified by one study through its survey of a sample of project managers.
taBLe 4.4 traditional and Nontraditional roles of Project champions
traditional Duties
Technical understanding Knowledge of the technical aspects involved in developing the project
Leadership Ability to provide leadership for the project team
Coordination and control Managing and controlling the activities of the team
Obtaining resources Gaining access to the necessary resources to ensure a smooth development process
Administrative Handling the important administrative side of the project
Nontraditional Duties
Cheerleader Providing the needed enthusiasm (spiritual driving force) for the team
Visionary Maintaining a clear sense of purpose and a firm idea of what is involved in creating the project
Politician Employing the necessary political tactics and networking to ensure broad acceptance and cooperation with the project
Risk taker Being willing to take calculated personal or career risks to support the project
Ambassador Maintaining good relations with all project stakeholders
Source: J. K. Pinto and D. P. Slevin. (1988). “The project champion: Key to implementation success,” Project Management Journal, 20(4): 15–20. Copyright © 1988 by Project Management Institute Publications. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
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The first set of activities is commonly thought of as the “traditional” duties of managers. The champion can actively aid in the project development process by interpreting technical details, providing strong leadership, helping with project coordination and control, as well as supply- ing administrative help for the project team. It is important that the champion be familiar with the technical aspects of the project. Another important traditional activity of the project cham- pion is the procurement of necessary resources to enable team members to perform their tasks. Champions are often in an excellent position to make available a continual supply of logistical support for the project.
The second set of activities in which champions engage is referred to as the “nontraditional” side of management, which implies that these activities are not part of the usual roles identified in traditional management literature. That does not mean, however, that these activities are in any way unnecessary or eccentric. In fact, several champions have reported that these duties are just as important for project success as the more frequently identified, well-known requirements for successful management. Performing functions such as cheerleader, visionary, politician, risk taker, and ambassador is important for most project managers, and yet these roles tend to be deemphasized in literature, job specifications, and training programs. As one champion put it, “We can teach people those (traditional) skills easily enough, but experience is the best teacher for the other (nontraditional) duties. No one prepares you for the irrational side of this job. You have to pick it up as you go.”
In many organizations, the majority of a champion’s time is not engaged in performing the traditional side of project management duties, but rather is involved in the “nontraditional” activities. The champion is often the person with the vision, the cheerleader, or the driving force behind the project. Additionally, the champion is expected to take on the key political roles in attempting to play the right kinds of games, make the right contacts, and network with the neces- sary people to ensure a steady supply of resources necessary for the project to succeed. Finally, because champions, by definition, strongly identify with the project, much of their time is spent in networking with other organizational units, top management, and prospective clients (users) of the project. In this task, they take on an important ambassador/advocate role throughout the organization. In many cases, champions put their careers on the line to support and gain accep- tance of a new system and, as a result, become committed to aiding the project in every way pos- sible, through both traditional and nontraditional activities.
One question often asked is whether this type of behavior really plays an important role in successful project management. The answer is an emphatic “yes.” Aside from anecdotal and case study information, some compelling research studies have helped us better understand not only what champions do, but how important champions are for acquiring and gaining organizational acceptance of new projects.20 One study, for example, examined a series of new product devel- opments and start-ups at a variety of organizations.21 The relationship between the presence or absence of an identifiable organizational champion and the success of the project was studied for 45 new product development efforts. Of the 17 successful new product developments, all but one, or 94%, had a readily identifiable champion. These ventures were spearheaded by an individual that the majority of those involved in the project could point to and identify as that project’s spon- sor or champion. On the other hand, of the 28 projects that failed, only one was coupled with an identifiable project champion. Clearly, the results of this study point to the enormously important role that a champion can play in new product development.
How to Make a champion
All organizations differ in terms of the availability of individuals to take on the role of a project cham- pion. Although some organizations have a supply of enthusiastic personnel at all levels willing to serve as champions, the reality for most organizations is not nearly so upbeat. The fault, in this case, is not that these organizations have inadequate or unskilled people. Very often, the problem is that the organizations have failed to recognize the benefits to be derived from champions. Champions and a climate within which they can exist must be developed and nurtured by the organization.
Some important principles and options for organizations to recognize in the development and use of project champions include identify and encourage the emergence of champions, encour- age and reward risk takers, remember that champions are connected emotionally to their projects, and avoid tying champions too closely to traditional project management duties.22
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identiFy and encourage tHe eMergence oF cHaMPions In many companies, there are indi- viduals who demonstrate the enthusiasm and drive to champion new project ideas. It is important for these organizations to develop a culture that not only tolerates but actively promotes champi- ons. In many organizations, a creative originator who continually badgered upper management with a new project idea would likely offend some of the key top management team. However, for a firm to realize the full potential of its internal champions, it must create a culture of support in which champions feel they can work without excessive criticism or oversight.
encourage and reward risk takers Jack Welch, former CEO of General Electric, made it a personal crusade to actively encourage senior, middle, and even junior managers to take risks. His argu- ment was that innovation does not come without risk; if one cannot bear to take risks, one cannot inno- vate. The corollary to encouraging risk taking is to avoid the knee-jerk response of immediately seeking culprits and punishing them for project failures. Innovations are, by definition, risky ventures. They can result in tremendous payoffs, but they also have a very real possibility of failure. Organizations have to become more aware of the positive effects of encouraging individuals to take risks and assume championing roles in innovative projects. One project success will often pay for 10 project failures.
reMeMBer tHat cHaMPions are connected eMotionaLLy to tHeir Projects Champions bring a great deal of energy and emotional commitment to their project ideas; however, a potential downside of the use of powerful project champions is the fact that often they refuse to give up, even in the face of a genuine project failure. As a result, many companies keep pursuing “dogs” long after any hope for successful completion or commercial success is past. For example, Microsoft introduced their “Kin” cellphone in 2010 and marketed it particularly to teens and fans of social networking. The Kin was not a “smartphone,” it did not support apps or games, and it was expen- sive to operate. In spite of Microsoft’s best efforts, it quickly failed in the marketplace and was abandoned only two months after its introduction. Microsoft executive, Robbie Bach, mastermind behind the Kin device, left the company soon afterward.
don’t tie cHaMPions too tigHtLy to traditionaL Project ManageMent duties Project champions and project managers may be the same people, but often they are not. Many times classic champions, as Table 4.4 demonstrated, are more comfortable supporting a project through nontra- ditional activities. Because they tend to be visionaries, cheerleaders, and risk takers, they approach their goal with a single-minded strength of purpose and a sense of the overall design and strategy for the new technology. Rather than supporting the more routine aspects of project management, such as planning and scheduling, allocating resources, and handling the administrative details, the champions’ expertise and true value to the implementation process may be in their political connec- tions and contributions, that is, in employing their nontraditional management skills.
4.5 tHe new Project LeadersHiP
Project management requires us to harness our abilities to lead others. These skills may or (more likely) may not be innate; that is, for the majority of us, leadership is not something that we were born with. However, we know enough about the leadership challenge to recognize that leaders are as lead- ers do.23 The more we begin to recognize and practice appropriate leadership roles, the more naturally these activities will come to us. An article by one of the top writers on organizational leadership, Dr. Warren Bennis, summarizes four competencies that determine our success as project leaders:24
1. The new leader understands and practices the power of appreciation. These project leaders are connoisseurs of talent, more curators than creators. Appreciation derives from our abil- ity to recognize and reward the talent of others. Leaders may not be the best, most valuable, or most intelligent members of project teams. Their role is not to outshine others but to allow others to develop to their best potential.
2. The new leader keeps reminding people what’s important. This simple statement carries a powerful message for project managers. We need to remember that in pursuing a project, a host of problems, difficulties, annoyances, and technical and human challenges are likely to arise. Often numerous problems are uncovered during projects that were not apparent until after serious work began. Project managers must remember that one of their most important contributions is reminding people to keep their eyes fixed on the ultimate prize—in effect, continually reminding them what is important.
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3. The new leader generates and sustains trust. The research by Kouzes and Posner cited earlier in this chapter contains a powerful message: The most important characteristic looked for in leaders is honesty.25 Leaders who generate trust and behave with authentic- ity, fairness, honesty, and caring will be successful in creating an environment in which the project team members strive to do their best. Trust plays a critical role in developing productive leader-member relationships.26 It is only by recognizing and applying trust- worthiness that we demonstrate the loyalty and commitment to our team members as individuals, that will bring out the best in them.
4. The new leader and the led are intimate allies. Earlier in this chapter we examined the con- cept of a partnership existing between the leader and followers. This point is important and should be emphasized in effective leadership behaviors. Project management leadership does not arise in order to control and dominate the project team, but as a natural method for sup- porting the team’s efforts. As we work to develop leadership abilities, it is important to first recognize the reasons why leadership is necessary for project success and then take the concrete steps needed to realize the vision of the project, something we can best do when we as leaders work in close harmony with our teams.
Box 4.2
Project Managers in Practice
Bill Mowery, CSC
“Project management, as a discipline, provides limitless opportunities across almost infinite combinations of industries, skills and alternatives and provides a career path that remains challenging and rewarding.” This statement comes from Bill Mowery, until recently, a Delivery Assurance Senior Manager in the Financial Services Group (FSG) of Computer Sciences Corporation (CSC).
Mowery’s job was a combination of project governance, working with the corporation’s Project Management Office (PMO), and special projects in support of strategic objectives. Project governance duties consist of monitoring and reporting on the status of the project portfolio of one of FSG’s divisions while pro- viding guidance on best practices and methods in project management. An important part of Mowery’s was as the “business architect” in support of FSG’s proprietary project tracking and reporting system. This system was developed to provide advanced capabilities in the automated collection and dissemination of project per- formance metrics. Mowery states, “Perhaps the most challenging part of my job pertained to ad hoc special projects that support the goals of both FSG and the corporate objectives of CSC as a whole. The opportunity to collaborate globally with my colleagues on a wide range of technology and business endeavors provided both challenge and variety in my career.”
Mowery’s career path into project management work seems to have been somewhat unintentional. After being trained in electronics and computer technology and earning an associate’s degree while serving in the U.S. Army, he began his civilian career in software engineering while pursuing undergraduate degrees in com- puter science and mathematics. As a contract programmer, he got his first taste of project management work, simply because he was the software contractor with the most seniority. This serendipitous introduction to this type of work led to a career that has kept him fascinated and engaged for the last 25 years. During this time, Mowery has worked in a variety of industries, including electronic product development, nuclear fuel process- ing, financial services, and material handling systems. One thing he has learned during his diverse career is that sound project management principles are critical regardless of the setting. As he points out, “While the industry and technology can change, the tenets of project management that lead to success remain a constant theme.”
Because of Mowery’s wealth of experience with running projects across so many settings over such an extended period, he served as a mentor for junior project managers in his organization, a role that he relished. “The aspect of my job I found most rewarding was the opportunity to collaborate and mentor within a large project management staff. When a project manager was faced with a unique challenge in project manage- ment and I could offer insight and advice that helped solve the problem, it provided a satisfying feeling that someone else didn’t have to learn something ‘the hard way.’”
When asked what advice he could offer to those interested in pursuing a career in project management, Mowery reflected, “The best advice that I can offer to anyone considering a career in project management is to have the patience of a rock, an empathetic personality, and a love of learning. Project management can be a complex field, and I often tell people that the more I learn, the less I know. This often confuses people, but simply put, the more I learn, the more I understand just how much more there is to know and discover in a fascinating and complex profession.”
4.5 The New Project Leadership 133
Figure 4.4 Bill Mowery, cSc
Source: Jeffrey Pinto/Pearson Education, Inc
Project Profile
the challenge of Managing internationally
As project management becomes an internationalized phenomenon, it is critical for successful leaders to recog- nize their management style and make necessary accommodations when dealing with project team members from other countries. The current generation of project managers is discovering that international work is not a mysterious or infrequent event; in fact, it is the everyday reality for project managers in many project-based orga- nizations. What are some of the important lessons that all project managers need to take to heart when working overseas? One list is offered by a successful project manager, Giancarlo Duranti. A native of Italy, Duranti has expe- rience leading teams in Brazil, Cuba, and Gambia. Among his suggestions for making the right leadership choices in foreign settings are:
1. Develop a detailed understanding of the environment. Educate yourself on the setting in which you will be work- ing by viewing documentaries and reading travel guides, tourist books, and even local newspapers. History is equally important: The better you understand the past of a particular culture, the sooner you can begin to understand team attitudes and perceptions.
2. Do not stereotype. It is easy to approach a foreign setting with preconceived notions about its people, culture, weather, and food. Without allowing ourselves to experience a setting for the “first time,” it is difficult to avoid form- ing easy and, ultimately, useless opinions.
3. Be genuinely interested in cultural differences. People are eager to share local and national traditions and, in turn, have a curiosity about yours. Demonstrating a real interest in their culture and sharing your own helps both sides to appreciate these differences rather than be separated by them.
4. Do not assume there is one way (yours) to communicate. Communication differences among cultures are profound. Remember, for example, that use of humor and ways of giving feedback, including correction, differ greatly among cultures. Learn to appreciate alternative means of exchanging information and to recognize what is “really” being said in various exchanges.
5. Listen actively and empathetically. Suspend judgment when listening and try to view each situation with some distance and perspective.27
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4.6 Project ManageMent ProFessionaLisM
At the beginning of 2003, the U.S. Department of Energy (DOE) kicked off an internal initiative to create a project management career path within its organization. The launch followed similar moves by a variety of organizations, from firms as diverse as Ernst & Young (consulting) to NASA. Bruce Carnes at the Department of Energy explained the reasoning for this move:
Much of our work is accomplished through projects. In fact, our project managers are currently responsible for over 100 projects with a total value in excess of $20 billion, plus another $150 billion in environmental restoration work over the next several decades. It’s important for us to make sure that our project managers have the best skills possible, and that each person is treated as a critical DoE asset. Therefore, we need a cohesive career management plan to develop them, match their skills with assignments, track their performance, and reward them as appropriate.28
Embedded in this explanation are several important points that illustrate the growing professionalism of the project management discipline. Let’s consider them in turn.29
First, for more and more organizations, project work is becoming the standard. Projects are no longer simply additional and nonroutine components of organizational life; in many organiza- tions they are becoming the principal means by which the organizations accomplish their goals. Along with the increased recognition of the importance of using project management techniques comes the concomitant need to acquire, train, and maintain a cadre of project management profes- sionals who are dedicated to these work assignments.
Second, there is a critical need to upgrade the skills of those doing project work. It would be a mistake to continually apply organizational resources, particularly human resources, to projects without ensuring that they are learning and developing their project skills, and approaching these tasks with a solid foundation of knowledge. In short, one of the aspects of professionalism is to recognize that project management professionals are not an ad hoc feature of the organization, but a critical resource to be developed and maintained. Therefore, it is important to support these individuals as a resource that requires continual training and skill development.
Third, project management professionalism recognizes the need to create a clear career path for those who serve as project managers and support personnel. Historically, organizations “found” their project managers from among their line management staff and assigned them the responsi- bility to complete the project, always with the assumption that once the project was finished, the managers would return to their normal functional duties. In short, project management was a temporary assignment, and once it was completed, the manager was returned to “real” duties. In the new professionalism model, project management personnel view project work as a permanent career assignment, with managers moving from project to project, but always dedicated to this career path. Increasingly companies are officially distinguishing between their functional staff and their project management professionals, resisting the urge to move people back and forth between project assignments and functional duties.
This new professionalism mentality is typified by the experiences of NASA, particularly in the wake of the 1986 Challenger shuttle disaster. Following the lessons learned from that terrible event, NASA determined that there was a permanent need for a dedicated and embedded profes- sional project management group within the organization. Ed Hoffman, who serves as the director of NASA’s Academy of Program and Project Leadership, makes this point: “The NASA mind-set sees the project approach as the only way to do business. We are constantly charged with meeting cost and timeline challenges that require the cooperation of a variety of disciplines. Frankly, our folks would be confused by a functional approach.”30
What practical steps can organizations take to begin developing a core of project manage- ment professionals? Some of the suggested strategies include the following:
• Begin to match personalities to project work. Research suggests that certain personality types may be more accepting of project work than others.31 For example, outgoing, people-oriented individuals are felt to have a better likelihood of performing well on projects than quieter, more introverted people. Likewise, people with a greater capacity for working in an unstructured and dynamic setting are more attuned to project work than those who require structure and formal work rules. As a starting point, it may be useful to conduct some basic personality assessments of potential project resources to assess their psychological receptiveness to the work.
Summary 135
• Formalize the organization’s commitment to project work with training programs. There is little doubt that organizational members can recognize a firm’s commitment to projects by the firm’s willingness to support the training and development of personnel in the skills needed for them. For training to be effective, however, several elements are necessary. First, a corporatewide audit should be conducted to determine what critical skills are necessary for running projects. Second, the audit should determine the degree to which organizational members possess those skills. Third, where there are clear differences between the skill set needed and the skills available, project management training should first be targeted to reduce those gaps—in effect, bringing project management training into alignment with project management needs.
• Develop a reward system for project management that differentiates it from normal func- tional reward schedules. The types of rewards, whether promotions, bonuses, or other forms of recognition, available to project management personnel need to reflect the differences in the types of jobs they do compared to the work done by regular members of the organization. For example, in many project companies, performance bonuses are available for project team members but not for functional personnel. Likewise, raises or promotions in project firms are often based directly on the results of projects the team members have worked on. Thus, within the same organization, functional members may be promoted due to the amount of time they have been at one managerial level, while their project professional counterparts are promoted solely due to their accumulated performance on multiple projects.
• Identify a distinct career path for project professionals. One rather cynical project manager once noted to this author, “In our organization there are two career ladders. Unfortunately, only one of them has rungs!” His point was that excellent performance on projects did not earn individuals any rewards, particularly in terms of promotions. In his firm, projects were “a place where mediocre managers go to die.” Contrast this example with that of Bechtel Corporation, in which project management is viewed as a critical resource, project manage- ment personnel are carefully evaluated, and superior performance is rewarded. Most partic- ularly, Bechtel has a dual-track career path that allows successful project managers the same opportunities as other functional managers to move upward in the company.
Project professionalism recognizes that the enhanced interest in project management as a discipline has led to the need to create a resource pool of trained individuals for the organization to use. In short, we are seeing an example of supply and demand at work. As more and more organizations begin to apply project techniques in their operations, they will increase the need for sufficient, trained individuals to perform these tasks. One of the best sources of expertise in project management comes from inside these organizations, provided they take the necessary steps to nurture and foster an attitude of professionalism among their project management staff.
This chapter began with the proposition that project management is a “leader-intensive” undertaking; that is, few activities within organizations today depend more on the performance and commitment of a strong leader than do projects. Through exploration of the types of duties project managers must undertake, the characteristics of effective project leaders, the role of emo- tional intelligence in managing projects well, the concepts of project championing behavior, and the essence of the new project leadership, this chapter has painted a picture of the diverse and challenging duties that project managers are expected to undertake as they pursue project success. When we endeavor to develop our leadership skills to their highest potential, the challenge is sig- nificant but the payoffs are enormous.
Summary
1. Understand how project management is a “leader- intensive” profession. Project management is leader-intensive because the project manager, as the leader, plays a central role in the development of the project. The project manager is the conduit for infor- mation and communication flows, the principal planner and goal setter, the team developer, motiva- tor, and conflict resolver, and so forth. Without the
commitment of an energetic project leader, it is very unlikely the project will be successfully completed.
2. distinguish between the role of a manager and the characteristics of a leader. The manager’s role in an organization is characterized as one of positional authority. Managers receive titles that give them the right to exercise control over the behavior of others, they focus more on the administration and
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organization of the project, and they seek efficiency and maintaining the status quo. Leaders focus on interpersonal relationships, developing and inspir- ing others with their vision of the project and the future. They embrace change, motivate others, com- municate by word and deed, and focus on the effec- tiveness of outcomes and long-term risk taking.
3. Understand the concept of emotional intelligence as it relates to how project managers lead. Five dimensions of emotional intelligence relate to project leadership: (1) self-awareness—one’s understanding of strengths and weaknesses that provides perspec- tive, (2) self-regulation—the ability to keep oneself under control by thinking before acting and sus- pending immediate judgment, (3) motivation—all successful leaders demonstrate first their own degree of motivation before they can inspire it in others, (4) empathy—the ability to recognize the differences in each subordinate and treat each team member in a way that is designed to gain the maximum com- mitment, and (5) social skill—friendliness with the purpose of moving people in a direction thought desirable.
4. recognize traits that are strongly linked to effec- tive project leadership. A number of leader- ship traits are strongly linked to effective project leadership, including (1) credibility or honesty, (2) problem-solving abilities, (3) tolerance for complex- ity and ambiguity, (4) flexibility in managing sub- ordinates, (5) communication skills, (6) creativity, (7) decision-making abilities, (8) experience, (9) the ability to work well through the project team, and (10) strong influence skills.
5. identify the key roles project champions play in project success. Champions are those individu- als within an organization who identify with a new project, using all the resources at their command to support it, even in the face of organizational resis- tance. Champions are risk takers because they are willing to work persistently in the face of resistance
or hostility to their idea from other members of the company. Research strongly supports the conten- tion that projects with an identifiable champion are more likely to be successful than those without. Among the traditional roles that champions play are those of technical understanding, leadership, coordination and control, obtaining resources, and administration. The nontraditional nature of the champion’s behavior includes engaging in activities such as being a cheerleader, project visionary, politi- cian, risk taker, and ambassador, all in support of the project.
6. recognize the principles that typify the new proj- ect leadership. Warren Bennis’s idea of the new project leadership is strongly based on relationship management through creating and maintaining a mutual commitment with each member of the proj- ect team. The four principles of the new project man- agement include (1) understanding and practicing the power of appreciation regarding each member of the project team, (2) continually reminding people of what is important through keeping focused on the “big picture,” (3) generating and sustaining trust with each member of the project team, and (4) recog- nizing that the leader and the led are natural allies, not opponents.
7. Understand the development of project manage- ment professionalism in the discipline. As proj- ect management has become increasingly popular, its success has led to the development of a core of professional project managers within many organi- zations. Recognizing the law of supply and demand, we see that as the demand for project management expertise continues to grow, the supply must keep pace. Professionalism recognizes the “institutional- ization” of projects and project management within organizations, both public and private. The prolif- eration of professional societies supporting project management is another indicator of the interest in the discipline.
Key Terms
Champion (p. 128) Creative originator (p. 128) Empathy (p. 124)
Entrepreneur (p. 128) Godfather or sponsor (p. 129)
Leadership (p. 118) Motivation (p. 120)
Professionalism (p. 134) Self-regulation (p. 124)
Discussion Questions
4.1 The chapter stressed the idea that project management is a “leader-intensive” undertaking. Discuss in what sense this statement is true.
4.2 How do the duties of project managers reinforce the role of leadership?
Case Study 4.2 137
4.3 What are some key differences between leaders and managers?
4.4 Discuss the concept of emotional intelligence as it relates to the duties of project managers. Why are the five ele- ments of emotional intelligence so critical to successful project management?
4.5 Consider the studies on trait theories in leadership. Of the characteristics that emerge as critical to effective leader- ship, which seem most critical for project managers? Why?
4.6 Consider the profile examples on project leaders Sir John Armitt and Dr. Sreedharan from the chapter. If you were to
summarize the leadership keys to their success in running projects, what actions or characteristics would you iden- tify as being critical? Why? What are the implications for you when you are given responsibility to run your own projects?
4.7 Why are project champions said to be better equipped to handle the “nontraditional” aspects of leadership?
4.8 Consider the discussion of the “new project leadership.” If you were asked to formulate a principle that could be ap- plied to project leadership, what would it be? Justify your answer.
CaSe STuDy 4.2 Finding the Emotional Intelligence to Be a Real Leader
Recently, Kathy Smith, a project manager for a large industrial construction organization, was assigned to oversee a multimillion-dollar chemical plant construc- tion project in Southeast Asia. Kathy had earned this assignment after completing a number of smaller con- struction assignments in North America over the past three years. This was her first overseas assignment and she was eager to make a good impression, particularly given the size and scope of the project. Successfully
completing this project would increase her visibility within the organization dramatically and earmark her as a candidate for upper management. Kathy had good project management skills; in particular, she was orga- nized and highly self-motivated. Team members at her last two project assignments used to joke that just try- ing to keep up with her was a full-time job.
Kathy wasted no time settling in to oversee the development of the chemical plant. Operating under
(continued)
CaSe STuDy 4.1 In Search of Effective Project Managers
Pureswing Golf, Inc., manufactures and sells a full line of golf equipment, including clubs, golf balls, leisure- wear, and ancillary equipment (bags, rain gear, towels, etc.). The company competes in a highly competitive and fast-paced industry against better-known competitors, such as Nike, Taylor Made, Titleist, PING, Calloway, and Cleveland. Among the keys to success in this industry are the continuous introduction of new club models, innova- tive engineering and design, and speed to market. As a smaller company trying to stay abreast of stronger com- petitors, Pureswing places great emphasis on the project management process in order to remain profitable. At any time, the company will have more than 35 project teams developing new ideas across the entire product range.
Pureswing prefers to find promising engineers from within the organization and promote them to project manager. It feels that these individuals, hav- ing learned the company’s philosophy of competitive success, are best equipped to run new product intro- duction projects. For years, Pureswing relied on vol- unteers to move into project management, but lately it has realized that this ad hoc method for finding and
encouraging project managers is not sufficient. The failure rate for these project manager volunteers is over 40%, too high for a company of Pureswing’s size. With such steady turnover among the volunteers, suc- cessful managers have to pick up the slack—they often manage five or six projects simultaneously. Top man- agement, worried about burnout among these high- performing project managers, has decided that the firm must develop a coordinated program for finding new project managers, including creating a career path in project management within the organization.
Questions
1. Imagine you are a human resources professional at Pureswing who has been assigned to develop a program for recruiting new project managers. Design a job description for the position.
2. What qualities and personal characteristics support a higher likelihood of success as a project manager?
3. What qualities and personal characteristics would make it difficult to be a successful project manager?
138 Chapter 4 • Leadership and the Project Manager
her normal work approach, Kathy routinely required her staff and the senior members of the project team to work long hours, ignoring weekend breaks if impor- tant milestones were coming up, and generally adopt- ing a round the-clock work approach for the project. Unfortunately, in expecting her team, made up of local residents, to change their work habits to accommodate her expectations, Kathy completely misread the indi- viduals on her team. They bitterly resented her over- bearing style, unwillingness to consult them on key questions, and aloof nature. Rather than directly con- front her, however, team members began a campaign of passive resistance to her leadership. They would purposely drag their feet on important assignments or cite insurmountable problems when none, in fact, existed. Kathy’s standard response was to push herself and her project team harder, barraging subordinates with increasingly urgent communications demanding
faster performance. To her bewilderment, nothing seemed to work.
The project quickly became bogged down due to poor team performance and ended up costing the project organization large penalties for late delivery. Although Kathy had many traits that worked in her favor, she was seriously lacking in the ability to recog- nize the feelings and expectations of others and take them into consideration.
Questions
1. Discuss how Kathy lacked sufficient emotional intelligence to be effective in her new project manager assignment.
2. Of the various dimensions of emotional intelli- gence, which dimension(s) did she appear to lack most? What evidence can you cite to support this contention?
CaSe STuDy 4.3 Problems with John
John James has worked at one of the world’s largest aerospace firms for more than 15 years. He was hired into the division during the “Clinton years” when many people were being brought onto the payroll. John had not completed his engineering degree, so he was hired as a drafter. Most of the other people in his de- partment who were hired at the time had completed their degrees and therefore began careers as associate engineers. Over the years, John has progressed through the ranks to the classification of engineer. Many of the employees hired at the same time as John have ad- vanced more rapidly because the corporation recog- nized their engineering degrees as prerequisites for advancement. Years of service can be substituted, but a substantial number of years is required to offset the lack of a degree.
John began exhibiting signs of dissatisfaction with the corporation in general several years ago. He would openly vent his feelings against nearly everything the corporation was doing or trying to do. However, he did not complain about his specific situation. The complain- ing became progressively worse. John started to exhibit mood swings. He would be extremely productive at times (though still complaining) and then swing into periods of near zero productivity. During these times, John would openly surf the Internet for supplies for a new home repair project or for the most recent Dilbert comics. His fellow employees were hesitant to point out
to management when these episodes occurred. Most of the team members had been working together for the entire 15 years and had become close friends. This is why these nonproductive episodes of John’s were such a problem; no one on the team felt comfortable point- ing the problem out to higher management. As time progressed and John’s friends evolved into his manag- ers, while John remained at lower salary grades, John’s mood swings grew more dramatic and lasted longer.
During the most recent performance appraisal review process, John’s manager (a friend of his) included a paragraph concerning his “lack of concen- tration at times.” This was included because of numer- ous comments made by John’s peers. The issue could no longer be swept under the rug. John became irate at the review feedback and refused to acknowledge receipt of his performance appraisal. His attitude toward his teammates became extremely negative. He demanded to know who had spoken negatively about him, and his work output diminished to virtually nothing.
analysis of the Problem
Clearly John has not been happy. To understand why, the history of his employment at this company needs to be looked at in greater detail. The group of cowork- ers that started together 15 years earlier all had similar backgrounds and capabilities. A group of eight people
Case Study 4.3 139
were all about 22 years old and had just left college; John was the only exception to this pattern, as he still needed two years of schooling to finish his engineer- ing degree. All were single and making good money at their jobs. The difference in salary levels between an associate engineer and a draftsman was quite small. Figure 4.5 shows the salary grade classifications at this corporation.
This group played softball together every Wednesday, fished together on the weekends, and hunted elk for a week every winter. Lifelong bonds and friendships were formed. One by one, the group started to get married and begin families. They even took turns standing up for each other at the weddings. The wives and the children all became great friends, and the fish- ing trips were replaced with family backyard barbecues.
Meanwhile, things at work were going great. All of these friends and coworkers had very strong work ethics and above-average abilities. They all liked their work and did not mind working extra hours. This combination of effort and ability meant rewards and advancement for those involved. However, since John had not yet completed his degree as he had planned, his promotions were more difficult to achieve and did not occur as rapidly as those of his friends. The differ- ences in salary and responsibility started to expand at a rapid rate. John started to become less satisfied.
This large corporation was structured as a func- tional organization. All mechanical engineers reported to a functional department manager. This manager was aware of the situation and convinced John to go back for his degree during the evenings. Although John had good intentions, he never stayed with it long enough to complete his degree. As John’s friends advanced more quickly through the corporation, their cars and houses also became bigger and better. John’s wife pressured him to keep up with the others, and they also bought a bigger house. This move meant that John was living above his means and his financial security was threatened.
Until this point, John had justified in his mind that the corporation’s policies and his functional man- ager were the source of all of his problems. John would openly vent his anger about this manager. Then a dras- tic change took place in the corporation. The corpora- tion switched over to a project team environment and eliminated the functional management. This meant that John was now reporting directly to his friends.
Even though John now worked for his friends, company policy was still restrictive and the promotions did not come as fast as he hoped. The team leader gave John frequent cash spot awards and recognition in an attempt to motivate him. John’s ego would be soothed for a short time, but this did not address the real prob- lem. John wanted money, power, and respect, and he was not satisfied because those around him had more. Although he was good at what he did, he was not great at it. He did not appear to have the innate capability to develop into a leader through expert knowledge or per- sonality traits. Additionally, due to the lack of an engi- neering degree, he could not achieve power through time in grade. By now, John’s attitude had deteriorated to the point where it was disruptive to the team and something had to be done. The team leader had to help John, but he also had to look after the health of the team.
This detailed history is relevant because it helps to explain how John’s attitude slowly deteriorated over a period of time. At the start of his career, John was able to feel on a par with his peers. When every- one was young and basically equal, he knew that he had the respect of his friends and coworkers. This allowed John to enjoy a sense of self-esteem. As time passed and he gave up in his attempt at the college degree, he lost some of his self-esteem. As the gap grew between his friends’ positions in the company and his position in the company, he perceived that he lost the esteem of others. Finally, when he became overextended with the larger home, even his basic security was threatened. It is difficult to maintain a
Vice President
Director
G 26 Engineering Manager
G 24 Senior Staff Engineer
G 22 Staff Engineer
G 20 Senior Engineer
G 18 Engineer
G 16 Associate Engineer
G 14 Senior Drafter
G 12 Drafter
G 10 Associate Drafter
Small Salary Gap
Large Salary Gap
Salaried Employees
Hourly Employees
Figure 4.5 Salary Grade classifications at this corporation
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140 Chapter 4 • Leadership and the Project Manager
level of satisfaction in this situation. The problem was now distracting the team and starting to diminish their efforts and results. Because of the friendships, undue pressure was being placed on the team as they tried to protect John from the consequences of his actions.
The team leader had to try to resolve this prob- lem. The challenge was significant: The leader had to attempt to satisfy the individual’s needs, the group’s needs, and the task needs. When John’s individual needs could not be met, the group atmosphere and task completion suffered. It was time for the team leader to act decisively and approach upper management with a solution to the problem.
Possible Courses of action
The team leader put a lot of thought into his options. Because of the friendships and personal connections, he knew that he could not make this decision lightly. He decided to talk individually to the team members who were John’s close friends and then determine the best solution to present to upper management.
After talking with the team members, the team leader decided on the following list of potential options:
1. Do nothing. 2. Bypass company policy and promote John. 3. Talk John into going back to college. 4. Relocate John to a different project team. 5. Terminate John’s employment.
The option to do nothing would be the easiest way out for the team leader, but this would not solve any problems. This decision would be the equivalent of burying one’s head in the sand and hoping the prob- lem would go away by itself. Surprisingly, this was a common suggestion from the team members. There appeared to be a hope that the problem could be over- looked, as it had been in the past, and John would just accept the situation. With this option, the only person who would have to compromise was John.
The second option of bypassing company policy and promoting John to a higher level would be a very difficult sell to management. John was recently promoted to a salary grade 18 (his friends were now 24s and 26s). This promotion was achieved through the concerted efforts of his friends and the team leader. The chances of convincing management to approve another promo- tion so quickly were extremely low. Furthermore, if the team leader was successful at convincing management to promote John, what would the long-term benefits be? John would still not be at the same level as his friends and might not be satisfied for long. Chances were good that this would be only a temporary fix to the problem.
After the shine wore off the promotion, John would again believe that his efforts exceeded his rewards. It would be nice to believe that this solution would eliminate the problem, but history seemed to indicate otherwise.
The third option of trying to talk John into going back to college and finishing his engineering degree would be the best solution to the problem, but prob- ably the least likely to occur. If John could complete his degree, there would be no company policies that could obstruct his path. He would then be compet- ing on an even playing field. This would allow him to justifiably receive his advancement and recapture his self-esteem. If he did not receive the rewards that he felt he deserved, he would then have to look at his performance and improve on his weaknesses, not just fall back on the same old excuse. This solution would appear to put John back on the path to job satisfaction, but the problem with it was that it had been tried unsuc- cessfully several times before. Why would it be differ- ent this time? Should the corporation keep trying this approach knowing that failure would again lead to dis- satisfaction and produce a severe negative effect on the team? Although this third solution could produce the happy ending that everyone wants to see in a movie, it did not have a very high probability of success.
The fourth option of relocating John to a different team would be an attempt to break the ties of competi- tion that John felt with his friends and teammates. If this option were followed, John could start with a clean slate with a completely different team, and he would be allowed to save face with his friends. He could tell them of his many accomplishments and the great job that he is doing, while complaining that his “new” boss is holding him back. Although this could be considered “smoke and mirrors,” it might allow John the opportu- nity to look at himself in a new light. If he performed at his capabilities, he should be able to achieve the esteem of others and eventually his self-esteem. The team would consider this a victory because it would allow everyone to maintain the social relationship while washing their hands of the professional problems. This option offered the opportunity to make the situ- ation impersonal. It should be clear, however, that this solution would do nothing to resolve the true problem. Although it would allow John to focus his dissatisfac- tion on someone other than his friends and give him a fresh start to impress his new coworkers, who is to say that the problem would not simply resurface?
The fifth option, termination of employment, would be distasteful to all involved. Nothing to this point had indicated that John would deserve an action this severe. Also, since this option also would sever the social relationships for all involved and cause guilt for all of the remaining team members, resulting in team output deteriorating even further, it would be exercised
Internet Exercises 141
Internet exercises
only if other options failed and the situation deterio- rated to an unsafe condition for those involved.
Questions
1. As the team leader, you have weighed the pros and cons of the five options and prepared a pre- sentation to management on how to address this problem. What do you suggest?
2. Consider each of the options, and develop an argument to defend your position for each option.
3. What specific leadership behaviors mentioned in this chapter are most relevant to addressing and resolving the problems with John?
4.1 Identify an individual you would call a business leader. Search the Web for information on this individual. What pieces of information cause you to consider this individual a leader?
4.2 Go to the Web site www.debian.org/devel/leader and evaluate the role of the project leader in the Debian Project. What is it about the duties and background of the project leader that lets us view him as this project’s leader?
4.3 Knut Yrvin functions as the team leader for an initiative to replace proprietary operating systems with Linux-based technology in schools in Norway (the project is named “Skolelinux”). Read his interview at http://lwn.net/ Articles/47510/. What clues do you find in this interview regarding his view of the job of project leader and how he leads projects?
4.4 Project champions can dramatically improve the chances of project success, but they can also have some negative ef- fects. For example, projects championed by a well-known organizational member are very difficult to kill, even when they are failing badly. Read the article on blind faith posted at www.computerworld.com/s/article/78274/Blind_Faith? taxonomyId=073. What does the article suggest are some of the pitfalls in excessive championing by highly placed members of an organization?
PMP certificAtion sAMPle QUestions
1. The project manager spends a great deal of her time communicating with project stakeholders. Which of the following represent an example of a stakeholder group for her project?
a. Top management b. Customers c. Project team members d. Functional group heads e. All are project stakeholders
2. Effective leadership involves all of the following, except: a. Managing oneself through personal time manage-
ment, stress management, and other activities b. Managing team members through motivation, del-
egation, supervision, and team building c. Maintaining tight control of all project resources
and providing information to team members only as needed
d. Employing and utilizing project champions where they can benefit the project
3. A project manager is meeting with his team for the first time and wants to create the right environment in which relationships develop positively. Which of the following guidelines should he consider employing to create an effective partnership with his team?
a. The right to say no b. Joint accountability c. Exchange of purpose d. Absolute honesty e. All are necessary to create a partnership
4. Joan is very motivated to create a positive project ex- perience for all her team members and is reflecting on some of the approaches she can take to employ lead- ership, as opposed to simply managing the process. Which of the following is an example of a leadership practice she can use?
a. Focus on plans and budgets b. Seek to maintain the status quo and promote order c. Energize people to overcome obstacles and show
personal initiative d. Maintain a short-term time frame and avoid un-
necessary risks
5. Frank has been learning about the effect of emotional intelligence on his ability to lead his project effectively. Which of the following is not an example of the kind of emotional intelligence that can help him perform better?
a. Self-awareness and self-regulation b. Motivation c. Social skills d. Results orientation (work to get the job done)
Answers: 1. e—Remember that stakeholders are defined as any group, either internal or external, that can affect the performance of the project; 2. c—Leadership requires allowing workers to have flexibility, providing them with all relevant information, and communicating project sta- tus and other pertinent information; 3. e—All of the above are necessary characteristics in promoting partnership be- tween the project manager and the team; 4. c—Energizing people to overcome obstacles is a critical component of leadership, as opposed to a philosophy of management; 5. d—Although a results orientation can be a useful ele- ment in a project leader ’s skill set, it is not an example of emotional intelligence, which is often manifested through relationship building with others.
142 Chapter 4 • Leadership and the Project Manager
Notes
1. Hansford, M. (2014, February 18). “Daring to be dif- ferent: Sir John Armitt,” New Civil Engineer; Reina, P. (2013, January 28). “Sir John Armitt: Delivering the London Olympics Complex on Time, Under Budget, and Safely,” Engineering News-Record. http://enr.construc- tion.com/people/awards/2013/0128-london-olympics- delivered-on-time-under-budget-safely.asp; Osborne, A. (2013, September 5). “Take warring politicians out of infrastructure planning, says Olympics chief John Armitt,” The Telegraph. www.telegraph.co.uk/finance/ economics/10287504/Take-warring-politicians-out- of-infrastructure-planning-says-Olympics-chief-John- Armitt.html; Engineering and Physical Sciences Research Council. (2012, July 2). “EPSRC congratulates Sir John Armitt on inaugural major projects award.” www.epsrc. ac.uk/newsevents/news/2012/Pages/armittaward. aspx; Bose, M. (2012, February 7). “ Sir John Armitt: We’ve made a magical place in London for the next 100 years.” www.mihirbose.com/index.php/sir-john-armitt-weve- made-a-magical-place-in-london-for-the-next-100-years/
2. Kim, W. C., and Mauborgne, R. A. (1992, July–August). “Parables of leadership,” Harvard Business Review, p. 123.
3. Posner, B. Z. (1987). “What it takes to be a good proj- ect manager,” Project Management Journal, 18(1): 51–54; Pinto, J. K., Thoms, P., Trailer, J., Palmer, T., and Govekar, M. (1998). Project Leadership: From Theory to Practice. Newtown Square, PA: Project Management Institute; Slevin, D. P., and Pinto, J. K. (1988). “Leadership, motiva- tion, and the project manager,” in Cleland, D. I., and King, W. R. (Eds.), Project Management Handbook, 2nd ed. New York: Van Nostrand Reinhold, pp. 739–70; Geoghegan, L., and Dulewicz, V. (2008). “Do project managers’ compe- tencies contribute to project success?” Project Management Journal, 39(4): 58–67.
4. Pinto, J. K., and Kharbanda, O. P. (1997). Successful Project Managers. New York: Van Nostrand Reinhold.
5. Block, P. (1993). Stewardship: Choosing Service over Self- Interest. San Francisco, CA: Berrett-Koehler Publishers.
6. Verma, V. K. (1996). Human Resource Skills for the Project Manager. Newtown Square, PA: Project Management Institute.
7. Yukl, G. (2002). Leadership in Organizations, 5th ed. Upper Saddle River, NJ: Prentice Hall; Daft, R. L. (1999). Leadership Theory and Practice. Orlando, FL: Harcourt; Kouzes, J. M., and Posner, B. Z. (1995). The Leadership Challenge. San Francisco, CA: Jossey-Bass.
8. Yukl, G. (2002). Leadership in Organizations, 5th ed. Upper Saddle River, NJ: Prentice Hall.
9. Slevin, D. P. (1989). The Whole Manager. New York: AMACOM.
10. Zimmerer, T. W., and Yasin, M. M. (1998). “A leader- ship profile of American project managers,” Project Management Journal, 29(1): 31–38.
11. Goleman, D. (1998). “What makes a leader?” Harvard Business Review, 76(6): 92–102; Clarke, N. (2010). “Emotional intelligence and its relationship to transfor- mational leadership and key project manager compe- tences,” Project Management Journal, 41(2): 5–20.
12. Kouzes, J. M., and Posner, B. Z. (1995). The Leadership Challenge. San Francisco, CA: Jossey-Bass.
13. Pettersen, N. (1991). “What do we know about the effective project manager?” International Journal of Project Management, 9: 99–104. See also Javidan, M., and Dastmachian, A. (1993). “Assessing senior executives: The impact of context on their roles,” Journal of Applied Behavioral Science, 29, 328–42; DiMarco, N., Goodson, J. R., and Houser, H. F. (1989). “Situational leadership in the project/matrix environment,” Project Management Journal, 20(1): 11–18; Müller, R., and Turner, J. R. (2007). “Matching the project manager’s leadership style to proj- ect type,” International Journal of Project Management, 25: 21–32; Turner, J. R., and Müller, R. (2005). “The project manager’s leadership style as a success factor on projects: A literature review,” Project Management Journal, 36(2): 49–61.
14. Einsiedel, A. A. (1987). “Profile of effective project manag- ers,” Project Management Journal, 18(5): 51–56.
15. Medcof, J. W., Hauschildt, J., and Keim, G. (2000). “Realistic criteria for project manager selection and development,” Project Management Journal, 31(3): 23–32.
16. Hannon, E. (2010, September 27). “Problems fuel doubts about Commonwealth Games.” www.npr.org/tem- plates/story/story.php?storyId=13014949; Swanson, S. (2008). “Worldview: New Delhi,” PMNetwork, 22(12): 58–64; Lakshman, N. (2007, March 14). “The miracle-worker of the Delhi Metro.” www.rediff.com/ money/2007/mar/14bspec.htm; www.muraleedharan. com/legends_sreedharan.html; Ramnath, N. S. (2012, June 2). “E Sreedharan: More than the metro man,” Forbes India. http://forbesindia.com/article/leader- hip-award-2012/e-sreedharan-more-than-the-metro- man/33847/1
17. Schon, D. A. (1967). Technology and Change. New York: Delacorte; Maidique, M. A. (1980, Winter). “Entrepreneurs, champions, and technological innova- tion,” Sloan Management Review, 21: 59–76.
18. Peters, T. A. (1985, May 13). “A passion for excellence,” Fortune, pp. 47–50.
19. Meredith, J. A. (1986). “Strategic planning for factory auto- mation by the championing process,” IEEE Transactions on Engineering Management, EM-33(4): 229–32; Pinto, J. K., and Slevin, D. P. (1988). “The project champion: Key to implementation success,” Project Management Journal, 20(4): 15–20; Bryde, D. (2008). “Perceptions of the impact of project sponsorship practices on project success,” International Journal of Project Management, 26: 800–809; Wright, J. N. (1997). “Time and budget: The twin impera- tives of a project sponsor,” International Journal of Project Management, 15: 181–86.
20. Onsrud, H. J., and Pinto, J. K. (1993). “Evaluating cor- relates of GIS adoption success and the decision pro- cess of GIS acquisition,” Journal of the Urban and Regional Information Systems Association, 5: 18–39.
21. Chakrabarti, A. K. (1974). “The role of champion in prod- uct innovation,” California Management Review, XVII(2): 58–62.
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22. Royer, I. (2003). “Why bad projects are so hard to kill,” Harvard Business Review, 81(2): 48–56; Pinto, J. K., and Slevin, D. P. (1988). “The project champion: Key to imple- mentation success,” Project Management Journal, 20(4): 15–20.
23. Thamhain, H. J. (1991). “Developing project management skills,” Project Management Journal, 22(3): 39–44; Pressman, R. (1998, January–February). “Fear of trying: The plight of rookie project managers,” IEEE Software, pp. 50–54.
24. Bennis, W. (2001). “The end of leadership: Exemplary lead- ership is impossible without full inclusion, initiatives, and cooperation of followers,” Organizational Dynamics, 28.
25. Kouzes, J. M., and Posner, B. Z. (1995). The Leadership Challenge. San Francisco, CA: Jossey-Bass.
26. Hartman, F. (2000). Don’t Park Your Brain Outside. Newtown Square, PA: Project Management Institute.
27. Silver, D. (2009). “Abroad spectrum,” PMNetwork, 23(1): 62–68.
28. Ayas, K. (1996). “Professional project management: A shift towards learning and a knowledge creating struc- ture,” International Journal of Project Management, 14: 131–36; Statement of Bruce Carnes, Chief Financial Officer, United States Department of Energy, Before the
Committee on Science—U.S. House of Representatives— on the FY 2003 Budget Request for the U.S. Department of Energy. (2002, February 13). See also www.nap.edu/ openbook/0309089093/html/82-91.htm
29. Ayas, K. (1996), ibid. 30. Hoffman, E. J., Kinlaw, C. S., and Kinlaw, D. C. (2002).
“Developing superior project teams: A study of the char- acteristics of high performance in project teams,” in Slevin, D. P., Cleland, D. I., and Pinto, J. K. (Eds.), The Frontiers of Project Management Research. Newtown Square, PA: PMI, pp. 237–47; Kezbom, D. (1994). “Self-directed team and the changing role of the project manager.” Proceedings of the Internet 12th World Congress on Project Management, Oslo, pp. 589–93.
31. Wideman, R. M., and Shenhar, A. J. (2001). “Professional and personal development management: A practical approach to education and training,” in J. Knutson (Ed.), Project Management for Business Professionals: A Comprehensive Guide. New York: Wiley, pp. 353–83; Wideman, R. M. (1998). “Project teamwork, personality profiles and the population at large: Do we have enough of the right kind of people?” Presentation at the Project Management Institute’s Annual Seminar/Symposium, Long Beach, CA.
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5 ■ ■ ■
Scope Management
Chapter Outline Project Profile
“We look like fools.”—Oregon’s Failed Rollout of Its Obamacare Web Site
introduction 5.1 concePtual develoPment
The Statement of Work Project Profile
Statements of Work: Then and Now The Project Charter
5.2 the ScoPe Statement The Work Breakdown Structure Purposes of the Work Breakdown Structure The Organization Breakdown Structure The Responsibility Assignment Matrix
5.3 Work authorization Project Profile
Defining a Project Work Package 5.4 ScoPe rePorting Project management reSearch in Brief
Information Technology (IT) Project “Death Marches”: What Is Happening Here?
5.5 control SyStemS Configuration Management
5.6 Project cloSeout Summary Key Terms Discussion Questions Problems Case Study 5.1 Boeing’s Virtual Fence Case Study 5.2 California’s High-Speed
Rail Project Case Study 5.3 Project Management
at Dotcom.com Case Study 5.4 The Expeditionary Fighting Vehicle
Internet Exercises PMP Certification Sample Questions MS Project Exercises Appendix 5.1 Sample Project Charter Integrated Project—Developing the Work
Breakdown Structure Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand the importance of scope management for project success. 2. Understand the significance of developing a scope statement. 3. Construct a Work Breakdown Structure for a project. 4. Develop a Responsibility Assignment Matrix for a project. 5. Describe the roles of changes and configuration management in assessing project scope.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Develop Project Charter (PMBoK sec. 4.1) 2. Plan Scope Management (PMBoK sec. 5.1)
Project Profile 145
3. Collect Requirements (PMBoK sec. 5.2) 4. Define Scope (PMBoK sec. 5.3) 5. Create WBS (PMBoK sec. 5.4) 6. Validate Scope (PMBoK sec. 5.5) 7. Control Scope (PMBoK sec. 5.6)
Project Profile
case—“We look like fools.”—oregon’s failed rollout of its obamacare Web Site
Controversy has surrounded the Affordable Care Act (ACA), ever since it was proposed and passed through Congress without a single Republican vote. After two years of heated debate, the Act was signed into law by President Obama in 2010. Since then, the ACA, more commonly referred to as “Obamacare,” has been held up as a symbol of looming disaster and liberal overreach by its critics, while defenders argue that it represents a genuine effort to bring health care options to millions of Americans who could not afford coverage. Following its authorization and having survived numerous court challenges, parties on both sides of the debate waited for its effects to be felt as the federal and state health care exchanges came online, with a scheduled starting date of October 1, 2013. However, prior to the rollout, nu- merous warning signs were in evidence, from the late selection of prime contractors to develop the Web sites, to failed dress rehearsals, when the website crashed or could not be accessed. On October 1, the Obamacare exchanges and signup Web site (www.healthcare.gov) failed spectacularly, with thousands of those attempting to sign up unable to access the system, frustratingly long waits to complete the registration, and innumerable crashes that required citizens to start the process over and over again. Records show that nationwide, only six people were able to register for health care coverage on day 1. So poorly did the system work in some states that, months after the rollout, a mere handful of people were able to sign up online. The government had to create phone-in centers as an alternative method for regis- tering for Obamacare. In fact, the initial history of Obamacare has given its critics plenty of ammunition with which to assail the administration and its dreadful management of the Obamacare exchange rollout.
Nowhere has this process been a more abject failure than in the state of Oregon. Oregon had attempted to de- velop its own Web site, Cover Oregon (as one of 14 states that opted to set up their own health care exchanges), since 2011. However, what started off as a popular and widely supported measure has turned into one of the worst examples of IT system implementation failure. Journalistic investigations have uncovered a series of missteps that included the per- fect storm of politics, poor planning, poor technological design, and contractors that were not up to the herculean task of setting up a health exchange. In the end, not one Oregonian was able to sign up through the exchange. Customers that ended up completing the task did so via paper enrollment. At the beginning of June 2014, Oregon announced that the 80,000 people who signed up for private insurance will have to reenroll in November via the federal exchange. The federal government will handle Oregon’s exchange as the state considers whether or not to overhaul its system, which it hopes would be ready in 2015. The state estimates that it lost over $250 million on its Cover Oregon Web site.
At the start of the project, Oregon selected Oracle as its primary contractor and hired the consulting firm Maximus to provide quality-control assessments. From its very first report, Maximus foretold nearly all of the major problems that would eventually doom Cover Oregon’s Web site to a catastrophic launch.
A Brief timeline of failure:
November 2011: With the clock ticking toward a launch deadline in two years, the project was already raising a number of red flags. Oracle had indicated its concern with the state’s decision to support an outdated software package and the project’s budget was looking questionable. On top of that, the consulting auditors termed the delivery date “function- ally impossible,” as it was established seemingly without any regard for technical estimates. At this point, the project was already $3 million over budget, the majority of the tasks were well behind schedule, and 75% of the project’s staff had not yet been hired. july 2012: By this point, over half the original budget has been spent (over $7 million) but the consultants label the Web site as technically poor. After several iterations of the software, the IT team has major concerns about the network’s security. Worse, the project managers for different teams have developed their own schedules and development roadmap, all without consulting each other or trying to integrate their efforts. The result is redun- dancies in performing some tasks and completely ignoring others. The consultants have begun to criticize the working relationships among the senior staff, warning that conflict and communication problems are only going to get worse. September 2012: With a little more than a year to the start-up, Cover Oregon is in trouble. The consultants offer a number of suggestions for getting the project back on track, including narrowing the scope, and begin developing contingency plans in case more problems emerge as the deadline nears. Because the project is not being tracked and controlled like a normal undertaking, it is difficult to identify the most pressing problems in order to devote more
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146 Chapter 5 • Scope Management
IntroductIon
The project scope is everything about a project—work content as well as expected outcomes. Project scope consists of naming all activities to be performed, the resources consumed, and the end products that result, including quality standards.2 Scope includes a project’s goals, constraints, and limitations. scope management is the function of controlling a project in terms of its goals and objectives through the processes of conceptual development, full definition, execution, and termination. It provides the foundation upon which all project work is based and is, therefore, the culmination of predevelopment planning. The process of scope manage- ment consists of several distinct activities, all based on creating a systematic set of plans for the upcoming project.
Emmitt Smith, former All-Pro running back for the Dallas Cowboys and member of the Pro Football Hall of Fame, attributes his remarkable success to his commitment to developing and working toward a series of personal goals. He likes to tell the story of his high school days and
resources and level of effort to fixing the serious gaps. Finally, the Web site is going through multiple changes, updates, and modifications and they are being signed off on without a formal review of the overall system. December 2012: Cover Oregon administrators brief a legislative oversight committee about their progress. So far, staff members have identified a total of 108 risks to the project. Meanwhile, the state’s contract with Oracle comes under review because the company is billing by the hour, rather than on the basis of completed work. Using this formulation, there is not much incentive for Oracle to finish the work quickly. May 2013: By this point, a critical milestone was to be met; that is, the handoff of the project Web site from the web developer organization to the insurance group, Cover Oregon. The two groups had been working simultaneously on parallel efforts for months now, so the handoff was expected to happen seamlessly. It didn’t; in fact, it was a disaster. The technical pieces of the Web site did not work and the site proved to be nearly impenetrable for users. This was the first clear evidence that the project was in serious problems from a technical perspective and coupled with ongoing cost and schedule overruns, highlighted the clear threat the project was facing. june 2013: June was supposed to be the point when systems testing showed that the project was fully operational. In fact, Cover Oregon personnel have finally come to the conclusion that not only will the site not be ready on time, but the only question left to answer is: just how bad will it be? More staff members are added to try and push as many fea- tures into the system as possible in time for the October 1 deadline. Meanwhile, Cover Oregon’s director, Rocky King, is already trying to protect his reputation by explaining the project’s problems in terms of its size and shortened timeframe to completion. September 2013: Seemingly out of nowhere, Rocky King delivered an upbeat project status presentation stating: “Bottom Line: We Are on Track to Launch.” In spite of the positive tone, no one associated with the project had any illusions about its real state. For example, Oracle’s efforts have been increasingly criticized to the point where Oregon was forced to hire a second consultant, Deloitte, to help with the site. Over the course of one week in September, 780 software tests were supposed to be run. In fact, they only managed to run 74 tests during this critical period leading up to the launch. Even worse, every single test failed. Even the relentlessly upbeat King recognizes the signs of imminent disaster. october 2013: The rollout has come and the site fails spectacularly. No one can access the system and in its inaugural version, Cover Oregon does not sign up a single resident. The finger pointing has begun and the state is threatening legal action against Oracle to recover some of its money. january 2014: Citing medical reasons, Rocky King resigns from his position as Director of Cover Oregon. He had been on medical leave since December and his resignation is the second for a high-profile individual associated with the project, following the earlier resignation of Carolyn Lawson, Chief Information Officer for the Oregon Health Authority.
After spending nearly a quarter of a billion dollars on its health care exchange site, Oregon was left with such a poorly developed and technically flawed exchange that it was forced to spend additional millions hiring temporary workers to sign up subscribers with a paper-based system. Left with the choice between hiring a new contractor and starting from scratch or opting for the federal Web site, Cover Oregon announced its intention of letting the federal govern- ment take over the system. This debacle is an example of poor project coordination and communication among key stakeholders, coupled with the risks of overpromising a new system, trying to coordinate massive systems to a fixed deadline, and failing to understand the complexities they were trying to address. While memory of specific elements of the Cover Oregon disaster may fade over time, its lessons deserve to be brought up every time a project of this sort is contemplated.1
Introduction 147
how they affected his future success. When Smith was a student at Escambia High in Pensacola, Florida, his football coach used to say, “It’s a dream until you write it down. Then it’s a goal.”
For successful projects, comprehensive planning can make all the difference. Until a detailed set of specifications is enumerated and recorded and a control plan is developed, a project is just a dream. In the most general sense, project planning seeks to define what needs to be done, by whom, and by what date, in order to fulfill assigned responsibility.3 Projects evolve onto an operational level, where they can begin to be developed, only after systematic planning—scope management—has occurred. The six main activities are (1) conceptual devel- opment, (2) the scope statement, (3) work authorization, (4) scope reporting, (5) control systems, and (6) project closeout.4 Each of these steps is key to comprehensive planning and project devel- opment (see Table 5.1).
This chapter will detail the key components of project scope management. The goal of scope management is maximum efficiency through the formation and execution of plans or systems that leave as little as possible to chance.
table 5.1 elements in Project Scope Management
1. conceptual Development
Problem statement Requirements gathering Information gathering Constraints Alternative analysis Project objectives Business case Statement of Work Project charter
2. Scope Statement Goal criteria Management plan Work Breakdown Structure Scope baseline Responsibility Assignment Matrix
3. Work Authorization Contractual requirements Valid consideration Contracted terms
4. Scope reporting Cost, schedule, technical performance status S curves Earned value Variance or exception reports
5. control Systems Configuration control Design control Trend monitoring Document control Acquisition control Specification control
6. Project closeout Historical records Postproject analysis
Financial closeout
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5.1 conceptual development
conceptual development is the process that addresses project objectives by finding the best ways to meet them.5 To create an accurate sense of conceptual development for a project, the project management team must collect data and develop several pieces of information. Key steps in information development are:
• Problem or need statement: Scope management for a project begins with a statement of goals: why there is a need in search of a solution, what the underlying problem is, and what the project intends to do. For example, consider the following need statement from a fictitious county:
A 2014 report from the Maryland State Department of Health showed that the township of Freefield ranked among the worst in the state over a five-year average for infant mortality, low birth weight and premature births, late entry into prenatal care, unmarried parents, teen pregnancies, and poverty. A Clarion County health care focus group report identified patterns of poor communication between county families and doctors. There is a need for information gathering and dissemination on childbirth education opportunities, support service availability, preparation for new babies, and postpartum depression. The focus group indicated that the Freefield Public Library could be an important center for collecting this information and direct- ing new parents to resources and materials. To adequately meet this need, the library proposes a grant program to fund expanding their collections and programs in addition to linking the library with local primary care health providers and Freefield Memorial Hospital to serve expect- ant and postpartum mothers and their children.
• Requirements gathering: Requirements are the demands, needs, and specifications for a product (project outcome) as outlined by project stakeholders. It is the list of customer needs. Once a problem has been articulated (where we are now), the next step is to determine—in the words of the customer—where we wish to be. There can be many different types of requirements that an organization collects from a potential customer, including (1) product-related requirements—what features they desire the project to pos- sess, (2) quality requirements—the absolute minimum expectations for overall project quality, and (3) performance requirements—the expectations for how well the project performs or the standards it maintains. For example, in gathering requirements for a new automobile development project, Porsche might interview current and former owners of its high- performance cars to determine the expected levels of quality, price, and perfor- mance that customers expect. It is critical that during requirements gathering the project team does not overtly or unin- tentionally substitute their own interpretations for those of the customer. In other words, many project organizations, such as the IT industry, consider themselves the experts on what new software can do and the ways in which a customer would be expected to use it. In over- estimating their own role in requirements gathering, these organizations run the very real risk of creating systems that they imagine customers must have when, in reality, they are either not useful or are so overdesigned that customers only use them to the most limited degree. To guard against this situation, we discuss the critical nature of hearing the “voice of the customer” in requirements gathering in Chapter 11.
• Information gathering: Research to gather all relevant data for the project is the next step. A project can be effectively initiated only when the project manager has a clear understand- ing of the current state of affairs—specific target dates, alternative supplier options, degree of top management support for the project, and so forth. At any step along the way, project managers should take care that they have not limited their information search. Continuing the above example, suppose that as part of our information gathering, we identify five pro- spective funding sources in the Maryland Department of Health that would be good sources to access for grants. Further, our information search informs us that these grants are com- petitive and must be submitted by the end of the current calendar year, we can count on support from local political figures including our state representative and county commis- sioner, and so forth. All this information must be factored into the program proposal and used to shape it.
5.1 Conceptual Development 149
• Constraints: In light of the goal statement, project managers must understand any restric- tions that may affect project development. Time constraints, budget shrinkages, and client demands can all become serious constraints on project development. Referring back to the health grant example, some important constraints that could affect our ability to develop the grant application in time could be the need to find a medical professional to serve as the grant’s principal author, concern with statewide budgets and a withdrawal of support for community initiatives such as this one, and the need for a knowledgeable person within the library willing to serve as the primary collector of the prenatal and postnatal health care information.
• Alternative analysis: Problems usually offer alternative methods for solution. In project man- agement, alternative analysis consists of first clearly understanding the nature of the problem statement and then working to generate alternative solutions. This process serves two func- tions: It provides the team with a clearer understanding of the project’s characteristics, and it offers a choice of approaches for addressing how the project should be undertaken. It may be, as a result of alternative analysis, that an innovative or novel project development alterna- tive suggests itself. Alternative analysis prevents a firm from initiating a project without first conducting sufficient screening for more efficient or effective options.
• Project objectives: Conceptual development concludes with a clear statement of the final objectives for the project in terms of outputs, required resources, and timing. All steps in the conceptual development process work together as a system to ultimately affect the outcome. When each step is well done, the project objectives will logically follow from the analysis. In our health care example above, final objectives might include specific expectations, such as receiving a $100,000 grant to support collection services, printing costs, and holding informa- tion sessions and seminars with health care providers. These seminars would begin within a 90-day window from the administration of the grant. Library collections and subscriptions would be enhanced in this area by 25%. In this way, the problem or need statement is the catalyst that triggers a series of cascading steps from motive for the project through to its intended effects.
• Business case: The business case is the organization’s justification for committing to the proj- ect. Whenever a company intends to commit capital or its resources to a project, it should be clearly in support of a demonstrable business need. For example, it would make little sense for an IT organization like Google to develop a residential construction project unless a clear link could be made between the project and Google’s strategic goals and business activities. The project business case should (1) demonstrate the business need for a given project, (2) confirm the project is feasible before expending significant funding, (3) consider the strategic internal and external forces affecting the project (refer to the TOWS matrix discussion from Chapter 2), (4) assess and compare the costs (both monetary and nonmonetary) of choosing the project over other courses of action, and (5) provide time estimates for when we expect to be spending investment money on the project.
The business case is usually a carefully prepared document that highlights financial commitments, justification for undertaking the project, costs of doing the project, and more importantly, risks from not doing the project. For example, in the Maryland county example, we could build a business case that argued that because of the systemic problems with infant mortality in Fairfield Township, it is imperative not to delay action on this grant opportu- nity because failure to act will continue to result in higher levels of infant health problems in the county. A strong business case explores all feasible approaches to a given problem and enables business owners to select the option that best serves the organization. In short, the business case is the company’s (or project sponsor’s) best argument for undertaking a project.
Conceptual development begins with the process of reducing the project’s overall complexity to a more basic level. Project managers must set the stage for their projects as completely as possible by forming problem statements in which goals and objectives are clearly stated and easily understood by all team members.
Many projects that are initiated with less than a clear understanding of the problem the proj- ect seeks to address far exceed their initial budgets and schedules. At base level, this problem is due to the vague understanding among team members as to exactly what the project is attempt- ing to accomplish. For example, a recent information technology project was developed with the
150 Chapter 5 • Scope Management
vague goal of “improving billing and record-keeping operations” in a large insurance firm. The IT department interpreted that goal to develop a project that provided a complex solution requiring multiple interactive screens, costly user retraining, and the generation of voluminous reports. In fact, the organization simply wanted a streamlined link between the billing function and end- of-month reporting. Because the problem was articulated vaguely, the IT department created an expensive system that was unnecessarily complex. In reality, the optimal project solution begins with creating a reasonable and complete problem statement to establish the nature of the project, its purpose, and a set of concrete goals.
A complete understanding of the problem must be generated so that the projects themselves will be successful in serving the purpose for which they were created. A key part of the problem statement is the analysis of multiple alternatives. Locking in “one best” approach for solving a problem too early in a project can lead to failure downstream.
Also, to be effective, problem statements should be kept simple and based on clearly under- stood needs in search of solutions. For example, a clear project goal such as “improve the process- ing speed of the computer by 20%” is much better than a goal that charges a project team to “signif- icantly increase the performance of the computer.” A set of simple goals provides a reference point that the team can revisit when the inevitable problems occur over the course of project develop- ment. On the other hand, project goals that are vague or excessively optimistic—such as “improve corporate profitability while maintaining quality and efficiency of resources”—may sound good, but do not provide clear reference points for problem solving.
the Statement of Work
The impetus to begin a project is often the result of a statement of work. The statement of work (sow) is a detailed narrative description of the work required for a project.6 Useful SOWs contain information on the key objectives for the project, a brief and general description of the work to be performed, expected project outcomes, and any funding or schedule constraints. Typically, in the case of the latter, it is difficult to present schedule requirements past some “gross” level that may only include starting and ending dates, as well as any major milestones.
An SOW can be highly descriptive, as in the case of a U.S. Department of Defense Request for Proposal (RFP) for a new Army field communication device that is “no greater than 15 inches long by 15 inches wide by 9 inches deep, can weigh no more than 12 pounds, has a transmitting and receiv- ing range of 60 miles, must remain functional after being fully immersed in water for 30 minutes, and can sustain damage from being dropped at heights up to 25 feet.” On the other hand, an SOW can be relatively general, merely specifying final performance requirements without detailed specifics. The purpose of the SOW is to give the project organization and the project manager specific guidance on both work requirements as well as the types of end results sought once the project is completed.
A Statement of Work is an important component of conceptual development, as it identifies a need within the firm or an opportunity from an outside source, for example, the commercial mar- ket. Some elements in an effective SOW include:
1. Introduction and background—a brief history of the organization or introduction to the root needs that identified the need to initiate a project. Part of the introduction should be a prob- lem statement.
2. Technical description of the project—an analysis, in clear terms, of the envisioned technical capabilities of the project or technical challenges the project is intended to resolve.
3. Time line and milestones—a discussion of the anticipated time frame to completion and key project deliverables (outcomes).
A useful Statement of Work should clearly detail the expectations of the project client, the prob- lems the project is intended to correct or address, and the work required to complete the project.
For example, the U.S. Federal Geographic Data Committee recently developed an SOW for purchasing commercial services from government or private industry as an independent contractor. The Statement of Work contained the following components:
1. Background—describes the project in very general terms; discusses why the project is being pursued and how it relates to other projects. It includes, as necessary, a summary of statu- tory authority or applicable regulations and copies of background materials in addenda or references.
5.1 Conceptual Development 151
2. Objectives—provide a concise overview of the project and how the results or end products will be used.
3. Scope—covers the general scope of work the contractor will be performing. 4. Tasks or requirements—describe detailed work and management requirements, and also
spell out more precisely what is expected of the contractor in the performance of the work. 5. Selection criteria—identify objective standards of acceptable performance to be provided by
the contractor. 6. Deliverables or delivery schedule—describes what the contractor shall provide; identifies the
contractor’s responsibilities; and identifies any specialized expertise and services, training, and documentation that is needed. In addition, it clearly states the deliverables required, the schedule for delivery, the quantities, and to whom they should be delivered. Finally, it describes the delivery schedule in calendar days from the date of the award.
7. Security—states the appropriate security requirement, if necessary, for the work to be done. 8. Place of performance—specifies whether the work is to be performed at the government site
or the contractor’s site. 9. Period of performance—specifies the performance period for completion of the contracted
project.
Notice how the Statement of Work moves from the general to the specific, first articulating the project’s background, including a brief history of the reasons the project is needed, and then iden- tifying the component tasks before moving to a more detailed discussion of each task objective and the approach necessary to accomplish it.7
A more detailed example of a generic statement of work is shown in Table 5.2. The SOW covers the critical elements in a project proposal, including description, deliverables, resource requirements, risks, expected outcomes, estimated time and cost constraints, and other pending issues. Table 5.2 can serve as a standard template for the construction of a reasonably detailed SOW for most projects.
The Statement of Work is important because it typically serves as the summary of the concep- tual development phase of the project plan. Once armed with the SOW, the project manager can begin moving from the general to the more specific, identifying the steps necessary to adequately respond to the detailed SOW.
the project charter
After a comprehensive SOW has been developed, many organizations establish a project charter. The project charter is defined as a document issued by the project initiator or sponsor that formally sanctions the existence of the project and authorizes the project manager to begin applying orga- nizational resources to project activities.8 In effect, a charter is created once the project supporters have done the needed “homework” to verify that there is a business case for the project, that they fully understand the elements of the project (as demonstrated through the SOW), and have applied more company-specific information for the project as it begins. The project charter demonstrates formal company approval of the project and that can only occur when all necessary information during conceptual development has been satisfied. For some organizations, the formal signoff of the SOW constitutes the project charter, while other organizations require that a separate document be created. An example of a project charter is shown in Appendix 5.1 at the end of the chapter.
Project Profile
Statements of Work: then and Now
Modern weapon systems have traditionally contained many more specifications and greater detailed SOWs than those of the past. Contrast the Army Signal Corps’ SOW for the Wright Brothers’ heavier-than-air flying machine in 1908 to the Air Force’s SOW for the Joint Strike Fighter, originally approved in 2001. The requirements in the 1908 SOW—for example, that the plane be easily taken apart for transport in Army wagons and be capable of being reassembled in an hour—and other contract conditions were specified on one page. The requirements section in the 2001 SOW for the Air Force Joint Strike Fighter is nearly 100 pages long with more than 300 paragraphs of requirements. Today’s SOWs are much more complex and require greater attention to detail, perhaps because the products are so much more complex, the equipment and materials are technically challenging, and legal requirements need much greater specification.9
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table 5.2 elements in a comprehensive Statement of Work
Date Submitted
Revision Number
Project Name
Project Identification Number
SOW Prepared by:
1. Description and Scope a. Summary of work requested b. Background c. Description of major elements (deliverables) of the completed project d. Expected benefits e. Items not covered in scope f. Priorities assigned to each element in the project
2. Approach a. Major milestones/key events anticipated
Date Milestone/Event
b. Special standards or methodologies to be observed c. Impact on existing systems or projects d. Assumptions critical to the project e. Plans for status report updates f. Procedures for changes of scope or work effort
3. resource requirements a. Detailed plan/rationale for resource needs and assignments
Person Role and Rationale
b. Other material resource needs (hardware, software, materials, money, etc.) c. Expected commitments from other departments in support d. Concerns or alternatives related to staffing plan
4. risks and concerns a. Environmental risks b. Client expectation risks c. Competitive risks d. Risks in project development (technical) e. Project constraints f. Overall risk assessment g. Risk mitigation or abatement strategies
5.2 The Scope Statement 153
5.2 the Scope Statement
The scope statement, the heart of scope management, reflects a project team’s best efforts at creat- ing the documentation and approval of all important project parameters prior to proceeding to the development phase.10 Key steps in the scope statement process include:
• Establishing the project goal criteria. Goal criteria include cost, schedule, performance and deliverables, and key review and approval “gates” with important project stakeholders (par- ticularly the clients). deliverables are formally defined as “any measurable, tangible, verifi- able outcome, result, or item that must be produced to complete a project or part of a project.” The goal criteria serve as the key project constraints and targets around which the project team must labor.
• Developing the management plan for the project. The management plan consists of the orga- nizational structure for the project team, the policies and procedures under which team mem- bers will be expected to operate, their appropriate job descriptions, and a well-understood reporting structure for each member of the team. The management plan is essentially the project’s bureaucratic step that creates control systems to ensure that all team members know their roles, their responsibilities, and professional relationships.
• Establishing a Work Breakdown Structure. One of the most vital planning mechanisms, the work Breakdown structure (wBs), divides the project into its component substeps in order to begin establishing critical interrelationships among activities. Until a project has gone through WBS, it is impossible to determine the relationships among the various activities (which steps must precede others, which steps are independent of previous tasks, and so on). As we will see, accurate scheduling can begin only with an accurate and meaningful Work Breakdown Structure.
• Creating a scope baseline. The scope baseline is a document that provides a summary description of each component of the project’s goal, including basic budget and schedule information for each activity. Creation of the scope baseline is the final step in the process of systematically laying out all pre-work information, in which each subroutine of the project has been identified and given its control parameters of cost and schedule.
the Work breakdown Structure
When we are first given a project to complete, the task can seem very intimidating. How do we start? Where should we first direct our efforts? One of the best ways to begin is to recognize that any proj- ect is just a collection of a number of discrete steps, or activities, that together add up to the overall deliverable. There is no magic formula; projects get completed one step at a time, activity by activity.
According to the Project Management Body of Knowledge (PMBoK), a Work Breakdown Structure (WBS) is “a deliverable-oriented grouping of project elements which organizes and defines the total scope of the project. Each descending level represents an increasingly detailed definition of a project component. Project components may be products or services.” To rephrase this PMBoK definition, the Work Breakdown Structure is a process that sets a project’s scope by breaking down its overall mission into a cohesive set of synchronous, increasingly specific tasks.11 The result is a comprehensive document reflecting this careful work.
5. Acceptance criteria a. Detailed acceptance process and criteria b. Testing/qualification approach c. Termination of project
6. estimated time and costs a. Estimated time to complete project work b. Estimated costs to complete project work c. Anticipated ongoing costs
7. outstanding issues
table 5.2 continued
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The WBS delineates the individual building blocks that will construct the project. Visualize the WBS by imagining it as a method for breaking a project up into “bite-sized” pieces, each repre- senting a step necessary to complete the overall project plan. It can be challenging at the project’s start to envision all the elements or component tasks needed to realize the project’s success, but the effort to “drill down” into the various activities at the task level actually can reinforce the overall picture of the project.
Consider the simple case of a student team working together on a term paper and final presentation for a college seminar. One of the first steps in the process of completing the assign- ment consists of breaking the project down into a series of tasks, each of which can be allocated to a member or members of the student team. The overall project consisting of specific products— a final paper and presentation—becomes easier to manage by reducing it to a series of simpler levels, such as:
Task One: Refine topic Task Two: Assign library research responsibilities Task Three: Develop preliminary outline for paper and presentation Task Four: Assign team member to begin putting presentation together Task Five: Begin producing drafts of paper Task Six: Proofread and correct drafts Task Seven: Refine class presentation Task Eight: Turn in paper and make classroom presentation
A WBS could go much further in defining a project’s steps; this example is intended only to give you a sense of the logic employed to reduce an overall project to a series of meaningful action steps. You will see, in subsequent chapters, that those same action steps are later evaluated in order to estimate the amount of time necessary to complete them.
The logic of WBS is shown visually in Figure 5.1. Rather than giving a starting date and an end goal, the diagram provides a string of checkpoints along the way. These checkpoints address the specific steps in the project that naturally lead from the start to the logical conclusion. The WBS allows you to see both the trees and the forest, so you can recognize on many levels what it will take to create the completed project.
purposes of the Work breakdown Structure
The WBS serves six main purposes:12
1. It echoes project objectives. Given the mission of the project, a WBS identifies the main work activities that will be necessary to accomplish this goal or set of goals. What gets men- tioned in the WBS is what gets done on the project.
A. Goal Setting Using WBS
Project Start
Goal 1 Goal 2 Goal 3 Goal 4
Project Completion
CBA D
B. Goal Setting Without WBS
Project Start
Project Completion
?
FIgure 5.1 Goal Setting With and Without Work Breakdown Structures (WBS)
5.2 The Scope Statement 155
2. It is the organization chart for the project. Organization charts typically provide a way to understand the structure of the firm (who reports to whom, how communication flows evolve, who has responsibility for which department, and so forth). A WBS offers a similar logical structure for a project, identifying the key elements (tasks) that need attention, the various subtasks, and the logical flow from activity to activity.
3. It creates the logic for tracking costs, schedule, and performance specifications for each ele- ment in the project. All project activities identified in the WBS can be assigned their own budgets and performance expectations. This is the first step in establishing a comprehensive method for project control.
4. It may be used to communicate project status. Once tasks have been identified and respon- sibilities for achieving the task goals are set, you can determine which tasks are on track, which are critical and pending, and who is responsible for their status.
5. It may be used to improve overall project communication. The WBS not only dictates how to break the project into identifiable pieces, but it also shows how those pieces fit together in the overall scheme of development. As a result, team members become aware of how their component fits into the project, who is responsible for providing upstream work to them, and how their activities will affect later work. This structure improves motivation for com- munication within the project team, as members wish to make activity transitions as smooth as possible.
6. It demonstrates how the project will be controlled. The general structure of the project demonstrates the key focus that project control will take on. For example, is the project based on creating a deliverable (new product) or improving a process or service (functional effi- ciency) within the firm? Either way, the WBS gives logic to the control approach and the most appropriate control methods.
Let’s illustrate the WBS with a simplified example. Consider the case of a large, urban hospital that has made the decision to introduce an organizationwide information technology (IT) system for billing, accounts receivable, patient record keeping, personnel supervision, and the medical process control. The first step in launching this large installation project is to identify the important elements in introducing the technology. Here is a basic approach to identifying the deliverables in a project to install a new information system for an organization (see Figure 5.2).
Formal proposal
Identify IT location
Seek staff support
Identify user needs
Match IT to problems
Seek and hire consultant
Prepare proposal
Solicit RFPs from vendors
Pilot project
Contract for purchase
Adopt and use IT
FIgure 5.2 it installation flowchart
156 Chapter 5 • Scope Management
1. Match IT to organizational tasks and problems. 2. Identify IT user needs. 3. Prepare an informal proposal to top management (or other decision makers) for IT acquisition. 4. Seek and hire an IT consultant. 5. Seek staff and departmental support for the IT. 6. Identify the most appropriate location within the organization for the IT hardware to be
located. 7. Prepare a formal proposal for IT introduction. 8. Undertake a request for proposals (RFPs) from IT vendors. 9. Conduct a pilot project (or series of pilot projects using different IT options).
10. Enter a contract for purchase. 11. Adopt and use IT technology.
For simplicity’s sake, Figure 5.2 identifies only the first-level tasks involved in completing this project. Clearly, each of the 11 steps in the flowchart in Figure 5.2 has various supporting subtasks associated with it. For example, step 2, identifying IT user needs, might have three subtasks:
1. Interview potential users. 2. Develop presentation of IT benefits. 3. Gain user “buy-in” to the proposed system.
Figure 5.3 illustrates a partial WBS, showing a few of the tasks and subtasks. The logic across all identified tasks that need to be accomplished for the project is similar.
We do not stop here but continue to flesh out the WBS with additional information. Figure 5.4 depicts a more complete WBS to demonstrate the logic of breaking the project up into its compo- nent pieces. The 1.0 level shown in Figure 5.4 identifies the overall project. Underneath this level are the major deliverables (e.g., 1.2, 1.3, etc.) that support the completion of the project. Underneath these deliverables are the various “work packages” that must be completed to conclude the project deliverables.
work packages are defined as WBS elements of the project that are isolated for assignment to “work centers” for accomplishment.13 Just as atoms are the smallest, indivisible unit of matter in phys- ics, work packages are the smallest, indivisible components of a WBS. That is, work packages are the lowest level in the WBS, composed of short-duration tasks that have a defined beginning and end, are assigned costs, and consume some resources. For example, in the 1.2 level of identifying IT user needs (a deliverable), we need to perform three supporting activities: (1) interviewing potential users, (2) developing a presentation of IT benefits, and (3) gaining user “buy-in” to the system. This next level down (1.2.1, 1.2.2, etc.) represents the work packages that are necessary to complete the deliverable.
Sometimes confusion arises as to the distinction made between “work package” and “task,” as they relate to projects and the development of the WBS. In truth, for many organizations, the
1.0
1.2 1.3 1.4 1.5
1.2.1
1.2.2
1.2.3
1.3.1
1.3.2
1.4.1
1.4.2
1.4.3
FIgure 5.3 Partial Work Breakdown Structure
5.2 The Scope Statement 157
difference between the terms and their meanings is actually quite small; often they are used inter- changeably by the project management organization. The key is to be consistent in applying the terminology, so that it means the same thing within different parts of the organization, in regard to both technical and managerial resources.
Overall, for a generic project, the logic of hierarchy for WBS follows this form:
level WBS term Description
Level 1 (Highest) Project The overall project under development
Level 2 Deliverable The major project components
Level 3 Subdeliverable Supporting deliverables
Level 4 (Lowest) Work package Individual project activities
Breakdown Description WBS Code
IT Installation Project 1.0
Deliverable 1 Match IT to organizational tasks and problems 1.1
WP 1 Conduct problem analysis 1.1.1
WP 2 Develop information on IT technology 1.1.2
Deliverable 2 Identify IT user needs 1.2
WP 1 Interview potential users 1.2.1
WP 2 Develop presentation of IT benefits 1.2.2
WP 3 Gain user “buy-in” to system 1.2.3
Deliverable 3 Prepare informal proposal 1.3
WP 1 Develop cost/benefit information 1.3.1
WP 2 Gain top management support 1.3.2
Deliverable 4 Seek and hire IT consultant 1.4
WP 1 Delegate members as search committee 1.4.1
WP 2 Develop selection criteria 1.4.2
WP 3 Interview and select consultant 1.4.3
Deliverable 5 Seek staff and departmental support for IT 1.5
Deliverable 6 Identify the appropriate location for IT 1.6
WP 1 Consult with physical plant engineers 1.6.1
WP 2 Identify possible alternative sites 1.6.2
WP 3 Secure site approval 1.6.3
Deliverable 7 Prepare a formal proposal for IT introduction 1.7
Deliverable 8 Solicit RFPs from vendors 1.8 WP 1 Develop criteria for decision 1.8.1
WP 2 Contact appropriate vendors 1.8.2
WP 3 Select winner(s) and inform losers 1.8.3
Deliverable 9 Conduct a pilot project (or series of projects) 1.9
Deliverable 10 Enter a contract for purchase 1.10
Deliverable 11 Adopt and use IT technology 1.11
WP 1 Initiate employee training sessions 1.11.1
WP 2 Develop monitoring system for technical problems 1.11.2
FIgure 5.4 example of a Project WBS
158 Chapter 5 • Scope Management
Figure 5.4 provides an example of how project activities are broken down and identified at both the deliverable and the work package levels, as well as a brief description of each of these activities. The WBS in that figure also shows a numeric code assigned to each activity. A com- pany’s accounting function assigns wBs codes to each activity to allocate costs more precisely, to track the activities that are over or under budget, and to maintain financial control of the development process.
Sometimes it is necessary to differentiate between a subdeliverable, as identified in the hierarchical breakdown above, and work packages that are used to support and complete the subdeliverables. Typically, we think of subdeliverables as “rolled-up” summaries of the out- comes of two or more work packages. Unlike work packages, subdeliverables do not have a duration of their own, do not consume resources, and do not have direct assignable costs. Any resources or costs attached to a subdeliverable are simply the summary of all the work packages that support it.
Most organizations require that each deliverable (and usually each of the tasks or work packages contained within) come with descriptive documentation that supports the goals of the project and can be examined as a basis for allowing approval and scheduling resource com- mitments. Figure 5.5 is a sample page from a task description document, intended to support
Project Task Description Form
Task Identification
Project Name: IT Installation Project Code: IS02 Project Manager: Williams
WP Name: Delegate members as search committee WP Code: 1.4.1 WP Owner: Susan Wilson
Deliverables: Assignment of personnel to IT vendor search committee Revision no.: 3 Date: 10/22/12 Previous revision: 2 (on file)
Resources Required
Labor Other Resources
Type Labor Days Type Quantity Cost
Systems manager 5 Software A 1 $15,000 Senior programmer 3 Facility N/A
Hardware technician 2 Equipment 1 $500 Procurement manager 3 Other N/A
Systems engineer 5
Required prerequisites: Deliverables 1.1, 1.2, and 1.3 (on file) Acceptance tests: None required Number of working days required to complete task: 5 Possible risk events, which may impair the successful completion of the task: __________________
TO BE COMPLETED AFTER SCHEDULING THE PROJECT: Earliest start on the task: 1/15/13 Earliest finish on the task: 2/15/13
Review meeting according to milestones: Name of milestone Deliverables Meeting date Participants
Identify IT user needs IT work requirements 8/31/12 Wilson, Boyd, Shaw
Design approval of the task: Task Owner: Sue Wilson Signature: _________________________ Date: _______ Customer contact: Stu Barnes Signature: _________________________ Date: _______ Project Manager: Bob Williams Signature: _________________________ Date: _______
FIgure 5.5 Project task Description
5.2 The Scope Statement 159
the project WBS outlined in Figure 5.4. Using work package 1.4.1, “Delegate members as search committee,” a comprehensive control document can be prepared. When a supporting document functions as a project control device throughout the project’s development, it is not prepared in advance and is no longer used once that project step has been completed; in other words, it is a dynamic document. This document also specifies project review meetings for the particular work package as the project moves forward; the task description document must be completed, filed, and revisited as often as necessary to ensure that all relevant information is available.
MS Project allows us to create a WBS for a project. As we input each project task, we can assign a WBS code to it by using the WBS option under the Project heading. Figure 5.6 gives a sample screen shot of some of the activities identified in the hospital IT project example. Note that we have created a partial WBS for the IT project by using the MS Project WBS option, which also allows us to distinguish between “Project Level” headings, “Deliverable” headings, and “Work Package” headings.
the organization breakdown Structure
An additional benefit of creating a comprehensive WBS for a project is the ability to organize the work needed to be performed into cost control accounts that are assignable to various units engaged in performing project activities within the company. The outcome of organizing this material is the organization Breakdown structure (oBs). In short, the OBS allows companies to define the work to be accomplished and assign it to the owners of the work packages.14 The budgets for these activities are then directly assigned to the departmental accounts responsible for the project work.
Suppose, for example, that our IT project example required the committed resources of three departments—information technology, procurement, and human resources. We want to make certain that the various work packages and their costs are correctly assigned to the per- son and department responsible for their completion in order to ensure that our cost control for the project can remain accurate and up-to-date. Figure 5.7 shows a visual example of the intersection of our partial WBS with an OBS for our IT installation project. The three depart- ments within the organization are shown horizontally and the work packages underneath one of the deliverables are shown vertically. Notice that only some of the boxes used to illustrate the intersection are affected, suggesting that for some work packages multiple departments may be involved, each with its own cost accounts, while for other work packages there may be only one direct owner.
FIgure 5.6 Sample WBS Development Using MS Project 2013
Source: MS Project 2013 by Microsoft Corporation.
160 Chapter 5 • Scope Management
The benefit of using an OBS is that it allows for better initial linking of project activities and their budgets, either at a departmental level or, even more directly, on an individual-by-individual basis, as shown in Figure 5.8. In this case, the direct cost for each work package is assigned to a specific individual responsible for its completion. Figure 5.9 reconfigures the OBS to show the cost account rollups that can be done for each department responsible for a specific work package or project deliverable.
In managing projects, the main point to keep in mind about the scope statement is the need to spend adequate up-front time preparing schedules and budgets based on accurate and reasonable estimation. This estimation can be adequately performed only if project managers have worked through the WBS and project goals statements thoroughly. There are fewer surefire ways to create an atmosphere for project failure than to do a cursory and incomplete WBS. When steps are left out, ignored, or underestimated during the WBS phase, they are then underbudgeted or under- estimated in scheduling. The result is a project that will almost certainly have sliding schedules, rapidly inflating budgets, and confusion during the development phase. Much of this chaos can be avoided if the project manager spends enough time with her scope statement to ensure that there are no missing elements.
the responsibility assignment matrix
To identify team personnel who will be directly responsible for each task in the project’s devel- opment, a responsibility Assignment Matrix (rAM) is developed. (The RAM is sometimes referred to as a linear responsibility chart.) Although it is considered a separate document, the RAM is often developed in conjunction with the WBS for a project. Figure 5.10 illustrates a Responsibility Assignment Matrix for this chapter ’s example project. Note that the matrix lists
IT Installation
Project
Deliverables
1.3 1.4 1.5
1.0
1.4.1 1.4.2 1.4.3
Work Packages
Prepare proposal
Search committee
Develop criteria
Select consultant
Seek and hire IT consultant
Seek support for IT
Human Resources
Procurement
Information Systems
Departments
Cost Account
Cost Account
Cost Account
Cost Account
Cost Account
Cost Account
FIgure 5.7 the intersection of the WBS and oBS
5.3 Work Authorization 161
WBS code Budget responsibility
1.0 $700,000 Bob Williams, IT Manager 1.1 5,000 Sharon Thomas
1.1.1 2,500 Sharon Thomas 1.1.2 2,500 Dave Barr
1.2 2,750 David LaCouture
1.2.1 1,000 David LaCouture 1.2.2 1,000 Kent Salfi 1.2.3 750 Ken Garrett
1.3 2,000 James Montgomery
1.3.1 2,000 James Montgomery 1.3.2 -0- Bob Williams
1.4 2,500 Susan Wilson
1.4.1 -0- Susan Wilson 1.4.2 1,500 Susan Wilson 1.4.3 1,000 Cynthia Thibodeau
1.5 -0- Ralph Spence
1.6 1,500 Terry Kaplan
1.6.1 -0- Kandra Ayotte 1.6.2 750 Terry Kaplan 1.6.3 750 Kandra Ayotte
1.7 2,000 Bob Williams
1.8 250 Beth Deppe
1.8.1 -0- Kent Salfi 1.8.2 250 James Montgomery 1.8.3 -0- Bob Williams
1.9 30,000 Debbie Morford
1.10 600,000 Bob Williams
1.11 54,000 David LaCouture
1.11.1 30,000 David LaCouture 1.11.2 24,000 Kandra Ayotte
FIgure 5.8 cost and Personnel Assignments
not only the member of the project team responsible for each activity, but also the other signifi- cant members of the team at each stage, organized according to how that activity requires their support. The RAM identifies where each person can go for task support, who should be notified of the task completion status at each stage, and any sign-off requirements. This tool provides a clear linkage among all project team members and combats the danger of a potential communi- cation vacuum in which project team members perform their own tasks without updating others on the project team.
5.3 Work authorIzatIon
This stage in scope management naturally follows the two previous steps. Once the scope definition, planning documents, management plans, and other contractual documents have been prepared and approved, the work authorization step gives the formal “go ahead” to commence with the project. Many times work authorization consists of the formal sign-off on all project
162 Chapter 5 • Scope Management
Lead Project Personnel
Bob IT
David IT
Susan HR
Beth Procurement
Terry LegalTask
& Code Deliverable
Match IT to Org. Tasks— 1.1
Problem Analysis –1.1.1
Develop info on IT technology –1.1.2
Identify IT user needs— 1.2
Interview potential users –1.2.1
Develop presentation –1.2.2
Gain user “buy-in” –1.2.3
Prepare proposal— 1.3
Develop cost/ benefit info –1.3.1
Notification
Responsible Support
Approval
James Engineering
FIgure 5.10 responsibility Assignment Matrix
IT Installation
Project
Deliverables
1.3 1.4 1.5
1.0
1.4.1 1.4.2 1.4.3
Work Packages
Prepare proposal
Search committee
Develop criteria
Select consultant
Seek and hire IT consultant
Seek support for IT
Human Resources
Procurement
Information Systems
Departments
Totals
$500
$500
$500
$1,500$0
$0
$1,000
$1,000
$0
FIgure 5.9 cost Account rollup Using oBS
5.3 Work Authorization 163
plans, including detailed specifications for project delivery. In cases of projects developed for external clients, work authorization typically addresses contractual obligations; for internal cli- ents, it means establishing an audit trail by linking all budget and resource requirements to the formal cost accounting system of the organization. Numerous components of contractual obliga- tions between project organizations and clients can exist, but most contractual documentation possesses some key identifiable features:16
• Contractual requirements. All projects are promised in terms of the specific functionality, or performance criteria, they will meet. This raises the questions: What is the definition accepted by both parties of “specific performance”? Are the terms of performance clearly understood and identified by both parties?
• Valid consideration. What items are voluntarily promised in exchange for a reciprocal com- mitment by another party? Does the work authorization contract make clear the commit- ments agreed to by both parties?
Project Profile
Defining a Project Work Package
Remember these seven important points about defining a project work package:15
1. The work package typically forms the lowest level in the WBS. Although some projects may employ the term subtask, the majority leave work package–level activities as the most basic WBS step.
2. A work package has a deliverable result. Each work package should have its own outcome. One work package does not summarize or modify another. Together, work packages identify all the work that must be contributed to complete the project.
3. A work package has one owner assigned—a project team member who will be most responsible for that package’s completion. Although other team members can provide support as needed, only one person should be directly answerable for the work package.
4. A work package may be considered by its owner as a project in itself. If we adopt the notion that all work packages, because they are of finite length and budget and have a specific deliverable, can be considered miniature projects, each package owner can view his activities as a microproject.
5. A work package may include several milestones. A milestone is defined as a significant event in the project. Depending on the size and complexity of a project work package, it may contain a number of significant checkpoints or milestones that determine its progress toward completion.
6. A work package should fit organizational procedures and culture. Tasks undertaken to support project outcomes should be in accord with the overall cultural norms of the project organization. Performing a work package should never lead a team member to violate company policy (either codified or implicit); that is, assigned activities must pass both relevant legal standards for ethical behavior and also adhere to the accepted behaviors and procedures of the organization.
7. The optimal size of a work package may be expressed in terms of labor hours, calendar time, cost, report period, and risks. All work packages should be capable of being tracked, meaning that they must be structured to allow the project manager to monitor their progress. Progress is usually a measurable concept, delineated by metrics such as time and cost.
In developing a project’s RAM, managers must consider the relationships between the project team and the rest of the organization as well as those within the project team. Within an organization and without it, actions of department heads and external functional managers can affect how members of a project team perform their jobs. Thus, a detailed RAM can help project managers negotiate with functional managers for resources, particularly through detailing the necessity of including various team members on the project.
Working through a RAM allows the project manager to determine how best to team people for maximum efficiency. In developing the document, a project manager has a natural opportunity to assess team members’ strengths, weaknesses, work commitments, and availability. Many firms spend a significant amount of money developing and using software to accurately track project activities, but not nearly as many devote time to tracking the ongoing inter- action among project team members. A RAM allows project managers to establish a method for coordinating the work activities of team members, realizing the efficiencies that take place as all team members provide support, notification, and approval for each other’s project responsibilities.
164 Chapter 5 • Scope Management
• Contracted terms. What are excusable delays, allowable costs, and statements of liqui- dated damages in the case of nonperformance? What are the criteria for inspection? Who has responsibility for correction of defects? What steps are necessary to resolve disputes? Contracted terms typically have clear legal meanings that encourage both parties to com- municate efficiently.
A number of contractual arrangements can serve to codify the relationship between a project organization and a customer. It is beyond the purview of this chapter to explore the various forms of contracts and legal recourse in great detail, but some standard contractual arrangements should be considered when managing the project scope. From the perspective of the project organization, the most common contracts range from lump-sum or turnkey con- tracts, in which the project organization assumes all responsibility for successful performance, to cost-plus contracts, which fix the company’s profit for a project in advance. We will discuss the latter first.
Sometimes it is nearly impossible to determine the likely cost for a project in advance. For example, the sheer technical challenges involved in putting a man on the moon, drilling a tunnel under the English Channel, or developing the Strategic Defense Initiative make the process of estimating project costs extremely difficult. In these cases, it is common for project companies to enter into a cost-plus contract that guarantees them a certain profit, regardless of the cost overruns that may occur during the project development. Cost-plus contracts can be abused; in fact, there have been notorious examples of huge overruns in governmental con- tracts because the lack of oversight resulted in systematic abuses. However, cost-plus contracts can minimize the risk that a company would incur if it were to undertake a highly technical project with the potential for uncertain outcomes, provided that both parties understand the terms of the agreement, the project organization acts with due diligence, and there is a final audit of the project books.
At the opposite extreme are lump-sum (sometimes referred to as turnkey) contracts in which the contractor is required to perform all work at an initially negotiated price. Lump-sum contracting works best when the parameters of the project are clearly understood by both sides (e.g., a residential construction project) and the attendant costs of the project can be estimated with some level of sophistication. In lump-sum contracts, initial cost estimation is critical; if the original estimate is too low and the contractor encounters unforeseen problems, the project’s profit may be reduced or even disappear. The advantage of the lump-sum contract to the cus- tomer is that the selected project contractor has accepted the majority of the risk in the project. On the other hand, because cost estimation is so crucial, it is common for initial estimates in lump-sum contracts to be quite high, requiring negotiation and rebidding between the contrac- tors and the customer.
The key point about work authorization is grounded in the nature of stated terms for proj- ect development. The manager must draw up contracts that clearly stipulate the work agreed to, the nature of the project development process, steps to resolve disputes, and clearly identi- fied criteria for successfully completing the project. This specificity can be especially important when dealing with external stakeholders, including suppliers and clients. Precisely worded work authorization terminology can provide important assistance for project development downstream. On the other hand, ambiguously stated terms or incorrectly placed milestones may actually provoke the opposite results: disagreements, negotiations, and potentially legal action—all guaranteed to slow project development down to a crawl and add tremendous costs to the back end of “completed” projects.
5.4 Scope reportIng
At the project’s kickoff, the project team and key clients should make decisions about the need for project updates: How many will be required, and how frequently? scope reporting fulfills this function by determining the types of information that will be regularly reported, who will receive copies of this information, and how this information will be acquired and disseminated.
What types of information are available and what may be appropriately reported? Clearly, a wide variety of forms of project reports can be tracked and itemized. Although the concepts will be
5.4 Scope Reporting 165
developed in more detail in subsequent chapters, among the types of project parameter informa- tion that are most commonly included in these reports are:17
• Cost status: updates on budget performance - S curves: graphical displays of costs (including labor hours and other costs) against project
schedule - Earned value: reporting project status in terms of both cost and time (the budgeted value
of work performed regardless of actual costs incurred) - Variance or exception reports: documenting any slippages in time, performance, or cost
against planned measures • Schedule status: updates on schedule adherence • Technical performance status: updates on technical challenges and solutions
Solid communication between all concerned parties on a project is one of the most impor- tant aspects of effective scope reporting. It is necessary to avoid the temptation to limit project status information to only a handful of individuals. Often using the excuse of “need to know,” many project teams keep the status of their project secretive, even past the point when it has run into serious trouble (see “Project Management Research in Brief” box). Project manag- ers should consider who would benefit from receiving regular project updates and plan their reporting structure appropriately. Some stakeholders who could be included in regular project status reporting are:
• Members of the project team • Project clients • Top management • Other groups within the organization affected by the project • Any external stakeholders who have an interest in project development,
such as suppliers and contractors
All of these groups have a stake in the development of the project or will be affected by the imple- mentation process. Limiting information may seem to be efficient or save time in the short run, but it can fuel possible misunderstandings, rumors, and organizational resistance to the project in the long run.
Box 5.1
Project Management research in Brief
Information Technology (IT) Project “Death Marches”: What Is Happening Here?
Every year, billions of dollars are spent on thousands of information technology (IT) projects worldwide. With the huge emphasis on IT products and advances in software and hardware systems, it is no surprise that inter- est in this field is exploding. Under the circumstances, we would naturally expect that, given the importance of IT projects in both our corporate and everyday lives, we are doing a reasonably good job of implementing these critical projects, right? Unfortunately, the answer is a clear “no.” In fact, IT projects have a terrible track record for delivery, as numerous studies show. How bad? The average IT project is likely to be 6 to 12 months behind schedule and 50% to 100% over budget. Of course, the numbers vary with the size of the project, but the results still suggest that companies should expect their IT projects to lead to wasted effort, enormous delays, burnout, and many lost weekends while laboring for success with the cards stacked the other way.
What we are referring to here are “death march” projects. The death march project is typically one in which the project is set up for failure through the demands or expectations that the company places on it, leaving the expectation that project team will pull off a miracle. The term death march invokes images of team members wearily trudging along mile after mile, with no end or possibility of successful conclusion in sight. Death march projects are defined as projects “whose parameters exceed the norm by at least 50%.” In practical terms, that can mean:
• The schedule has been compressed to less than half the amount estimated by a rational estimating process (e.g., the schedule suggests it should take one year to complete the project, but top manage- ment shrinks the schedule to six months).
(continued )
166 Chapter 5 • Scope Management
• The project team staffing has been reduced to half the number that normally would be assigned to a project of this size and scope (e.g., a project manager needing 10 resources assigned is instead given only 5).
• The budget and other necessary resources are cut in half (e.g., as a result of downsizing and other cost-cutting exercises in the company, everyone is expected to “do more with less”; or competitive bidding to win the contract was so intense that when the smoke cleared, the company that won the project did so at such a cut-rate price it cannot possibly hire enough people to make it work).
The result of any or all of these starting conditions is a virtual guarantee that the project will fail. The preva- lence of death march projects begs the question: Why are death march projects so common and why do they continue to occur? According to the research, there are a number of reasons:
1. Politics—the project may be the result of a power struggle between two ambitious senior executives, or it may have been set up to fail as a form of revenge upon some manager. In these cases, the project manager just gets caught in the blast zone.
2. Naïve promises made by marketing executives or inexperienced project managers—inexperience can result in all sorts of promises made, including those that are impossible to fulfill. In order to impress the boss, a new project manager may promise more than he can deliver. Marketing managers who are concerned with sales and how to improve them may think, “what’s a little exaggerated promise if it closes the deal?”
3. Naïve optimism of youth—a technical hotshot who is ambitious and feeling particularly cocky one day may make exaggerated promises that quickly result in the project team getting in over its head. Optimism is no substitute for careful planning.
4. The “start-up” mentality of fledgling entrepreneurial companies—start-up firms come loaded with energy, enthusiasm, and an aggressive, get-it-going attitude. When that mentality translates into projects, however, problems can occur. Entrepreneurial approaches to managing projects may ignore critical planning and detailed advance preparation that no experienced project manager would sacrifice.
5. The “Marine Corps” mentality: Real programmers don’t need sleep—this attitude emphasizes bravado as a substitute for evaluation. The hyperoptimistic schedule or budget is not an accident; it is a deliberate manifestation of this aggressive attitude: If you can’t handle it, you don’t belong here.
6. Intense competition caused by globalization—the appearance of new, international competitors often comes as a rude awakening when it is first experienced. Many firms respond with radical moves that push for rapid technical advances or “catching up” behaviors, resulting in numerous new death march projects.
7. Intense competition caused by the appearance of new technologies—as new opportunities emerge through new technologies, some firms jump into them eagerly, without first understanding their capacities, scalability for larger projects, and limitations. The result is an endless game of exploiting “opportunities” without fully comprehending them or the learning curve for using new technologies.
8. Intense pressure caused by unexpected government regulations—government-mandated death march projects occur through a failure of top management to anticipate new regulations or man- dates or, worse, to recognize that they are coming but put off any efforts to comply with them until deadlines have already been set. New pollution or carbon-energy controls laws, for example, may lead to huge projects with looming deadlines because the company put off until the last minute any efforts to self-regulate.
9. Unexpected and/or unplanned crises—any number of crises can be anticipated with sufficient advance planning. Examples of crises that can severely affect project delivery are the loss of key project team personnel midway through the project’s development or the bankruptcy of a key supplier. Some crises, of course, are unpredictable by definition, but all too often the crisis that destroys all of the work to date on a project is one that could have been anticipated with a little foresight. The long road back from these disasters will lead to many death marches.
Death march projects are not limited to the IT industry. Indeed, as we consider the list of reasons why death marches occur, we can see similar effects in numerous projects across different industries. The end result is typically the same: massively wasted efforts spent on projects that have been set up to fail by the very conditions under which they are expected to operate. The implications are clear: To avoid setting the stage for future death march projects, we need to start with the end in mind and ask, are the goals and conditions (budget, personnel assigned, and schedule) conducive to project success, or are we just sowing the seeds of inevitable disaster?18
5.5 Control Systems 167
5.5 control SyStemS
A question we might ask is: “How does a project become one year late?” The answer is: “One day at a time.” When we are not paying close attention to a project’s development, anything can (and usually does) happen. Project control is a key element in scope management. control systems are vital to ensure that any changes to the project baseline are conducted in a systematic and thorough manner. Project managers can use a number of project control systems to track the status of their projects, including:19
• Configuration control includes procedures that monitor emerging project scope against the original baseline scope. Is the project following its initial goals, or are they being allowed to drift as status changes or new circumstances alter the original project intent?
• Design control relates to systems for monitoring the project’s scope, schedule, and costs during the design stage. Chrysler developed Platform Design Teams (PDTs), composed of members from functional departments, to ensure that new automobile designs could be immediately evaluated by experts in engineering, production, and marketing. It found that this instanta- neous feedback eliminated the time that had been lost when designs were deemed unwork- able by the engineering organization at some later point in the car’s development.
• Trend monitoring is the process of tracking the estimated costs, schedules, and resources needed against those planned. Trend monitoring shows significant deviations from norms for any of these important project metrics.
• Document control ensures that important documentation is compiled and disseminated in an orderly and timely fashion. Document control is a way of making sure that anything contrac- tual or legal is documented and distributed. For example, document control would ensure that the minutes of a building committee’s deliberations concerning a new construction proj- ect are reproduced and forwarded to appropriate oversight groups.
• Acquisition control monitors systems used to acquire necessary project equipment, materi- als, or services needed for project development and implementation.
• Specification control ensures that project specifications are prepared clearly, communicated to all concerned parties, and changed only with proper authorization.
One of the most important pieces of advice for project managers and teams is to establish and maintain a reasonable level of control (including clear lines of authority) at the start of a project. Perhaps surprisingly, reasonable here means avoiding the urge to overdevelop and overcontrol proj- ects. Project managers’ ability to manage day-to-day activities can be hindered by having to handle excessive control system reports—there can simply be too much paperwork. On the other hand, it is equally important not to devalue control systems as taking up too much time. Knowing the right project control systems to use and how often to employ them can eliminate much of the guesswork when dealing with project delays or cost overruns. For example, a recent large office building proj- ect brought together a project team composed of groups and contractors relating to the architectural design; the heating, ventilation, and air conditioning (HVAC); the electrical and plumbing work; concrete and steel construction; and facilities management. During meetings early in the project, the combined construction project team agreed to a clear scope for the project and a streamlined control and reporting process that had trend monitoring, configuration, and specification control as the key elements in the project review cycle. Because several of the independent contractors had a long history of working together and had built a level of mutual trust, they reasoned that the bar- est minimum control processes would be preferable. In this example, the team sought a balance in project control processes between the twin errors of excessive and nonexistent control.
configuration management
The Project Management Body of Knowledge (PMBoK) defines configuration management as “a sys- tem of procedures that monitors emerging project scope against the scope baseline. It requires documentation and management approval on any change to the baseline.” A baseline is defined as the project’s scope fixed at a specific point in time—for example, the project’s scheduled start date. The baseline, therefore, is viewed as the project’s configuration. Remember that the scope baseline is simply a summary description of the project’s original content and end product, including budget and time constraint data. As a result, in simple terms, configuration management relates to the fact that projects usually consist of component parts, all contributing to the project’s functionality.
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These parts must be individually developed and ultimately assembled, or configured, to produce the final product or service. The role of designing, making, and assembling these components belongs to configuration management. However, because this process often requires several iterations, adjustments, and corrections to get the project right, in practical terms, configuration management is the systematic management and control of project change.20
The management of project changes is most effectively accomplished at the beginning of the project when plans and project scope are first articulated. Why would you want to begin managing change at the point where you are carefully defining a project? The answer is that the need to make significant project changes is usually an acknowledged part of the planning process. Some changes are made as the result of carefully acknowledged need; others emerge almost by accident during the project’s development. For example, we may discover at some point during the project’s execu- tion that certain technical specifications we designed into the original prototype may not work under specific conditions (e.g., high altitudes, humid conditions), requiring us to make midcourse alterations to the project’s required functionality.
Configuration management works toward formalizing the change process as much as pos- sible as early in the project’s life as possible, rather than leaving needed downstream changes to be made in an uncoordinated manner. The need to make project changes or specification adjustments, it has been suggested, comes about for one of several reasons:21
• Initial planning errors, either technological or human. Many projects involve technological risks. It is often impossible to accurately account for all potential problems or technological roadblocks. For example, the U.S. Navy and Marine Corps’ drive to create a vertical takeoff, propeller-driven aircraft, the Osprey, resulted in a series of unexpected technical problems, including some tragic accidents during prototype testing. Initial engineering did not pre- dict (and perhaps could not have predicted) the problems that would emerge with this new technology. Hence, many projects require midcourse changes to technical specifications as they encounter problems that are not solvable with existing resources or other unexpected difficulties. Planning errors also may be due to human mistake or lack of full knowledge of the development process. In the case of nontechnical causes for change, reconfiguration may be a simple adjustment to the original plans to accommodate new project realities.
• Additional knowledge of project or environmental conditions. The project team or a key stakeholder, such as the client, may enter into a project only to discover that specific features of the project or the business, economic, or natural environment require midcourse changes to the scope. For example, the technical design of a deep-water oil-drilling rig may have to be significantly modified upon discovery of the nature of water currents or storm characteris- tics, underwater terrain formations, or other unanticipated environmental features.
• Uncontrollable mandates. In some circumstances, events occur outside the control of the project team and must be factored into the project as it moves forward. For example, a governmental mandate for passenger safety established by the European Union in 2001 forced Boeing Corporation to redesign exit features on its new 777 aircraft, temporarily delaying the project’s introduction and sale to foreign airlines.
• Client requests. The situation in which a project’s clients, as the project evolves, attempt to address new needs with significant alterations is a very common phenomenon. In software development, for example, a client taking the role of potential user might list several com- plaints, requests, new features, reworked features, and so on when first exposed to a planned software upgrade. Often IT projects run excessively behind schedule as users continue to bring forward lists of new requirements or change requests.
Configuration management can probably be traced to the change control techniques initiated by the U.S. defense community in the 1950s. Defense contractors routinely changed the configu- ration of various weapon systems at the request of governmental groups, especially the armed forces. In making these changes, however, little of the process would be documented or traceable; hence, when new weapon systems were introduced, the armed forces found them hard to service and maintain. Poor record keeping led to poor channels of communication to relevant contrac- tors when problems or modification requests arose. As a result, the Defense Department routinely found it necessary to reissue general change request orders that delayed its ability to gain timely performance corrections. In the middle of the decade after much frustration (and expense), the
5.6 Project Closeout 169
Step Action
1. Configuration identification 1. Develop a breakdown of the project to the necessary level of definition.
2. Identify the specifications of the components of the breakdown and of the total project.
2. Configuration reviews Meet with all the project stakeholders to agree to the current project definition.
3. Configuration control 1. If agreement is achieved, repeat the first three steps, developing the breakdown and specification further, until the project is defined.
2. If agreement is not reached, either:
• Cycle back to the configuration as agreed at a previous review and repeat steps 1, 2, and 3 until agreement is achieved; or
• Change the specification last obtained by a process change control to match what people think it should be.
4. Status accounting Memory of the current configurations, and all previous ones, must be maintained so that if agreement is not reached at some point, the team can cycle back to a previous configuration and restart from there. Also, memory of the configuration of all prototypes must be maintained.
FIgure 5.11 four Stages of configuration Management
Source: © Turner, R. (2000), “Managing scope-configuration and work methods,” in Turner, R. (Ed.), Gower Handbook of Project Management, 3rd ed. Aldershot, UK: Gower.
Defense Department finally issued an order mandating that all organizations supplying systems to the government demonstrate a comprehensive change control and documentation process.22
Figure 5.11 presents the four stages in configuration management, including the tasks to be performed at each of the configuration management steps.23
5.6 project cloSeout
Effective scope management also includes appropriate planning for a project’s termination. Although the process of effective project termination will be covered in great detail in Chapter 14, it is useful to reflect on the fact that even when planning for a project, we should be planning for the project’s conclusion. The project closeout step requires project managers to consider the types of records and reports they and their clients will require at the completion of the project.24 The earlier in the scope development process that these decisions are made, the more useful the infor- mation collected over the project’s development can be. Closeout information can be important (1) in the case of contractual disputes after the project has been completed, since the more thorough the project records, the less likely it is that the organization will be held liable for alleged violations; (2) as a useful training tool for postproject analysis of either successes or failures; and (3) to facilitate project auditing tasks by showing the flow of expenses in and out of various project accounts.
Closeout documentation a project leader may decide to track includes the following:
• Historical records, or project documentation that can be used to predict trends, analyze feasi- bility, and highlight problem areas for similar future projects
• Postproject analysis, which follows a formal reporting structure, including analysis and doc- umentation of the project’s performance in terms of cost, schedule adherence, and technical specification performance
• Financial closeout, or the accounting analysis of how funds were dispersed on the project
One of the most important lessons for successful project managers is to “start with the end in mind.” Clear goals at the beginning of a project make clear what the project’s completion will require. Project closeout requires managers to consider a priori the types and amounts of informa- tion to continually collect during project development, relying on a sound project tracking and
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filing system. That way, when the project is in its closeout, time is not wasted scrambling for old project records and other information that is needed but missing.
A project’s goals are just a dream until they are written down. Until the project’s plans are laid out, its purposes specified, its constraints considered, and its results anticipated, a project is nothing more than an organization’s hope for success. Scope management is the systematic process of turning these dreams into reality by formally developing project goals. Like a lighthouse, a thor- ough scope document illuminates the way toward project completion even while the team may be tossed on the waves of numerous crises and concerns. As long as the light continues to shine, as long as the project manager works to develop and maintain the various elements of project scope, the likelihood of passage to successful project completion is strong.
Summary
1. Understand the importance of scope management for project success. This chapter examined the role of project scope management as an important plan- ning technique. Project scope management is the detailed development of the project plan to specify the work content and outcomes of the project, the activities that must be performed, the resources consumed, and the quality standards to be main- tained. The six steps in creating a project scope management procedure are conceptual develop- ment, the scope statement, work authorization, scope reporting, control systems, and project closeout.
Conceptual development is the process of choos- ing the best method for achieving the project’s goals. The project’s conceptual development allows the project manager to begin the process of transitioning from the project as a dream to the project as a specific goal or set of objectives. Problem statements, infor- mation gathering, identified constraints, alternatives analyses, and final project objectives are all created during the conceptual development.
The scope statement is a comprehensive defini- tion of all parameters necessary for the project to succeed. A number of elements factor into effective scope statement development, but perhaps most key is the Work Breakdown Structure (WBS). The work breakdown process gives the project team the ability to create a hierarchy of activities-based pri- orities, creating work packages, tasks, and subtasks as building blocks for completing the overall proj- ect. When this is coupled with a clear Responsibility Assignment Matrix (RAM), the project manager and team are able to begin moving beyond the project as a concept and tackle the project as a set of identi- fied activities, with responsible personnel assigned to them.
Work authorization, the third element in project scope management, refers to the process of sanc- tioning all project work. This step may involve formulating contractual obligations with vendors, suppliers, and clients.
Project scope reporting refers to any control systems and documentation that will be used to
assess the project’s overall status. Examples of scope reporting include the creation of control documents and budget and schedule tracking.
Control systems, including configuration man- agement, refer to the processes put in place to track the ongoing status of the project, compare actual with baseline projections, and offer corrective measures for bringing the project back on track.
Finally, the project closeout phase represents the project team’s best determination as to the information and transition materials necessary to ensure a smooth transfer of the project to its intended clients.
2. Understand the significance of developing a scope statement. The project scope statement reflects the project team’s best efforts to create the documentation and approval for all important project para meters prior to beginning the devel- opment phase. This statement is an opportunity to clearly “nail down” the elements of the project and what it is intended to accomplish, as well as to identify the project’s critical features. The ele- ments in the scope statement include (1) establish- ing the goal criteria—defining what will demon- strate project success and what the decision gates are for evaluating deliverables; (2) developing the management plan for the project— determining the structure for the project team, key rules and pro- cedures that will be maintained, and the control systems to monitor effort; (3) establishing the Work Breakdown Structure (WBS)—dividing the proj- ect into component substeps in order to establish the critical interrelationships among project activi- ties; and (4) creating a scope baseline—provid- ing a summary description of each component of the project’s goal, including budget and schedule information for each activity.
3. construct a work Breakdown structure for a project. The Work Breakdown Structure (WBS) is a process that sets a project’s scope by break- ing down its overall mission into a cohesive set of synchronous, increasingly specific tasks. Defined as a “deliverable-oriented grouping of
Discussion Questions 171
project elements which organizes and defines the total scope of the project,” the WBS is the most important organizing tool project teams have in preparing their tasks.
The WBS serves six main purposes: (1) it echoes project objectives; (2) it is the organization chart for the project; (3) it creates the logic for tracking costs, schedule, and performance specifications for each element in the project; (4) it may be used to commu- nicate project status; (5) it may be used to improve overall project communication; and (6) it demon- strates how the project will be controlled. The logic of the WBS is to subdivide project deliverables into increasingly more specific sublevels to identify all significant activities. The common terminology is to first identify the overall project, then the major deliverables for that project, and finally the work packages that must be accomplished to complete each deliverable.
Closely related to the WBS is the Organization Breakdown Structure (OBS), which allows com- panies to define the work to be accomplished and assign it to the owners of the work packages. The budgets for these activities are then directly as- signed to the departmental accounts responsible for the project work.
4. develop a responsibility Assignment Matrix for a project. The Responsibility Assignment Matrix (RAM), sometimes referred to as a linear responsi- bility chart, identifies project team personnel who
are directly responsible for each task in the project’s development. The RAM identifies where respon- sible team members can go for task support, who should next be notified of the task completion sta- tus, and any sign-off requirements. The goal of the RAM is to facilitate communication between proj- ect team personnel to minimize transition disrup- tions as the project moves toward completion. An additional benefit of the RAM is to make the coor- dination between project managers and functional department heads easier as they work to make best use of personnel who may be assigned to the project for only temporary periods.
5. describe the roles of changes and configuration management in assessing project scope. Significant project changes occur for a number of reasons, includ- ing (1) initial planning errors, either technological or human; (2) additional knowledge of project or envi- ronmental conditions; (3) uncontrollable mandates; and (4) client requests.
The four stages of configuration management are (1) configuration identification—breaking down the project and identifying the specifications of its components; (2) configuration reviews—meeting with stakeholders to agree to project definition; (3) configuration control—following agreement with stakeholders, developing the breakdown and specifications further; and (4) status accounting— maintaining memory of all current and previous configurations for reference.
Key Terms
Baseline (p. 167) Business case (p. 149) Conceptual development
(p. 148) Configuration management
(p. 167) Control systems (p. 167) Cost control accounts (p. 159)
Cost-plus contracts (p. 164) Deliverables (p. 153) Milestone (p. 163) Organization Breakdown
Structure (OBS) (p. 159) Project charter (p. 151) Project closeout (p. 169) Project scope (p. 146)
Requirements gathering (p. 148)
Responsibility Assignment Matrix (RAM) (p. 160)
Scope baseline (p. 153) Scope management (p. 146) Scope reporting (p. 164) Scope statement (p. 153)
Statement of Work (SOW) (p. 150)
Turnkey contracts (p. 164) WBS codes (p. 158) Work authorization (p. 161) Work Breakdown Structure
(WBS) (p. 153) Work packages (p. 156)
Discussion Questions
5.1 What are the principal benefits of developing a compre- hensive project scope analysis?
5.2 What are the key characteristics of a work package? 5.3 Create a Work Breakdown Structure for a term paper
project or another school-related project you are working on. What are the steps in the WBS? Can you identify any substeps for each step?
5.4 What are the benefits of developing a Responsibility Assignment Matrix (RAM) for a project?
5.5 Develop an argument for scope reporting mechanisms. At a minimum, what types of reports do you consider necessary for document control of a project? Why?
5.6 What is the chief purpose of configuration management? In your opinion, why has it become increasingly popu- lar in recent years as a part of the project management process?
5.7 What is the logic behind developing a plan for project closeout prior to even beginning the project?
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Problems 5.1 Prepare a group project for the classroom. Use as your
model one of the following: a. Construction project b. Software development project c. Events management project (e.g., an awards
banquet) d. New product development project
Develop a Statement of Work (SOW) for the project, using the format of (1) background, (2) task, (3) objec- tives, (4) approach, and (5) input source. Next, create a
Work Breakdown Structure (WBS) for the project. What are the key steps, including work packages, tasks, and any related subtasks for the project?
5.2 Using the project you identified in Problem 1, create a Responsibility Assignment Matrix (RAM) for it, identi- fying at least six fictitious project team members.
5.3 Research a real project through library resources or the Internet and develop a brief scope statement for the project, a general WBS, and any other information per- taining to the scope management for that project.
CaSe STuDy 5.1 Boeing’s Virtual Fence
On January 14, 2011, Secretary of Homeland Security Janet Napolitano made it official: The Virtual Fence Project was to be officially canceled. In her statement explaining the decision, Napolitano cited the diffi- culty in creating a unified, fully integrated security system and promised to “pursue a new path forward.” What was left unsaid were the reasons that led to the final decision—principally, struggling with a too- complicated technical system that did not work but was leading to ballooning costs.
Illegal crossing into the United States along the Mexican border has reached epidemic proportions in recent years. Fear of drug smuggling, illegal aliens, and possible terrorist incursions have made the issue of homeland security one of the major “hot buttons” in the political arena, both in Washington, DC, and within states located along the southern border as well as those in proximity to Canada. The problem is compounded by the sheer sizes of the borders involved. The Mexican/ U.S. border runs for nearly 2,000 miles, much of it across desert wastelands and inhospitable and remote areas. Establishing any sort of border security, in the wake of the 9/11 attacks, is a national necessity but a daunting and difficult task.
The Department of Homeland Security (DHS), organized following the attacks on the World Trade Center towers, is charged with the responsibility of securing all borders and points of illegal entry into the United States, in cooperation with Customs and Border Protection. As part of its mandate, it has devel- oped plans for creating a more secure and stable border with Mexico to prevent the continuous flow of undocu- mented immigrants, drugs, and potential terrorists. For the first stage in this process, DHS proposed a project to physically and electronically seal the stretch of the desert between the United States and Mexico under a multibillion-dollar contract named the Secure Border
Initiative Net (SBInet). President Bush in May 2006 called SBInet “the most technologically advanced bor- der security initiative in American history.” A 28-mile stretch of desert, centered on Nogales, Texas, was to be the pilot stage in a project that eventually would be used to monitor and control some 6,000 miles of border with both Mexico and Canada.
In late 2006, Boeing was selected as the major con- tractor for the SBInet project. Although better known for their military weapon systems, Boeing’s Integrated Defense Systems Unit was made responsible for overall coordination of a massive system of towers as well as listening devices, motion sensors, cameras, and radar to be used to detect and help apprehend illegals crossing the border. In fact, the U.S. government chose to out- source the entire project to private firms; that is, they expected that contractors would design the program’s elements, build them, and then handle full oversight of their own work.
In a nutshell, the system used a chain of 100-foot- tall towers that each scanned a 360-degree radius for a distance of 10 miles. Ground radar sensors also attempted to detect footsteps, bicycles, and vehicles. The first $20 million pilot phase, named Project 28 after the length of the part of the desert that it was supposed to cover, was to be completed by mid-June 2007. Boeing selected more than 100 subcontractors to build various components of the system, with its project managers maintaining overall control of the development process. Unfortunately, their structure was unwieldy, and the project was further compromised by the sheer number of distinct elements and technical systems Boeing was attempting to integrate. The technical challenge of inte- grating systems including watch towers, sensors, radar, and specialized cameras was beyond anything Boeing had attempted before. The problem was particularly noteworthy when we consider that integration, in many
Case Study 5.2 173
CaSe STuDy 5.2 California’s High-Speed Rail Project
With the announcement that California would be com- mitting $4.3 billion to the construction of a 29-mile rail link between the towns of Fresno and Madera in the state’s Central Valley, California’s 20-year-old quest for a high-speed rail line was finally coming true. The
California High-Speed Rail Authority (CHSRA), first es- tablished in the mid-1990s, had long pursued the goal of linking the San Francisco Bay metropolitan area in the north to the cities of Los Angeles and San Diego in the south. Under the administration of President Obama,
ways, was the project. The various technical elements were difficult but attainable. The challenge for SBInet lay in the ability of Boeing to find a means to bring all these new and unproven technologies together under one umbrella. So complicated was the challenge, in fact, that the virtual fence failed a series of initial tests, sig- nificantly delaying the full deployment of Project 28.
Unfortunately, these technical and coordination problems were never resolved. In the nearly three years after original testing was done on one section of the fence, SBInet had cost the government $672 million dol- lars, with the end nowhere in sight. Although the total project cost was anticipated at $1.1 billion, congressio- nal watchdog groups argued that the final cost of the project could soar to over $30 billion. Costs, in fact, were a sore point with the project from the time it was bid. Originally promising to complete SBInet for $1.1 billion, Boeing’s revised estimates went to $2.5 billion and then, just a few months later, to $8 billion. This rapid escalation of projected costs finally prompted a congres- sional oversight committee hearing, in which Boeing endured withering criticism from Representatives who questioned their motives in asking for more money and time to complete the project. In the meantime, beset by continuing problems, Boeing had also revised its esti- mates for the completion date to 2016, more than seven years after the date in the original plan.
A major concern was Boeing’s pyramid-like management structure that critics said caused confu- sion and a lack of clear responsibility. Worse, it made it easier for hidden costs to be charged to the project. Because Boeing embedded multiple subcontracting layers in the Virtual Fence development, they were able to add charges at each level. The larger prob- lem was the clear conflict of interest that emerged by placing Boeing in charge of project oversight, while allowing them to manage sub-contractors, and moni- tor the progress of the project. Not surprisingly, with this configuration, little information came to light about cost overruns or schedule slippages until qual- ity and overrun problems were simply too large to
ignore . . . or hide. Critics compared this attitude of easy oversight and loose control to the huge problems that had plagued Boston’s “Big Dig” construction project (see Case Study 8.2 in text).
Admittedly, the problems that sank the SBInet project were complicated and came from multiple sources. Besides the technical challenges of manag- ing 100 subcontractors, all required to provide criti- cal components that Boeing would integrate, the project had effectively shut out most federal agencies and oversight groups. It was difficult to get accurate project status information given the government’s decision to “farm out” border security to private contractors. As a result, congressional investigators found that Homeland Security officials were simply standing by while Boeing provided information that was “replete with unexplained anomalies, thus ren- dering the data unfit for effective contractor man- agement and oversight.” Furthermore, many critics questioned the feasibility of the original intent of the project itself, wondering about the likelihood of ever effectively sealing a border that runs through some of the most inhospitable terrain in North America. Whether through a combination of poor oversight, over- optimistic scope expectations, or simple inabil- ity to make this cutting-edge technology work, SBInet remains an example of a significant program failure at the taxpayer ’s expense.25
Questions
1. What problems do you see emerging from a project such as SBInet where the government allows the contractor to determine scope, man- age all contractor relations, and decide how to share project status information with oversight bodies?
2. Consider the following two arguments: “The fail- ure of SBInet was due to poor scope management” versus “SBInet failed because of poor oversight and project controls.” Take one side or the other in this argument, and justify your response.
(continued)
174 Chapter 5 • Scope Management
the federal government set aside money from a stimu- lus package to fund high-speed rail initiatives in sev- eral states, including Wisconsin, Florida, Ohio, Illinois, and California. The election of Republican governors in Ohio and Wisconsin led to a rethinking of the projects in those states, which ultimately refused the seed money grants from Washington, suspicious that the rail proj- ects were both unnecessary and likely to be subject to huge cost overruns, for which state taxpayers eventually would be held responsible. As a result, Transportation Secretary Ray LaHood reclaimed $1.2 billion from those states to be presented to 13 other states.
One of the states that stood to benefit most from this redistribution of federal money was California, with its ambitious, and many argue, ultimately fool- hardy decision to support a massive transportation project to link its cities with high-speed rail. The history of CHSRA’s drive to create high-speed rail is a fascinat- ing one, with supporters and critics in equal measure. As part of its initial pitch for the project, CHSRA argued that the system would lead to multiple benefits. For a one-way $55 ticket, passengers in Los Angeles would be able to travel to the Bay Area in less than 3 hours or reach San Diego in 80 minutes. Estimating that 94 million pas- sengers would use the rail system each year and that its development would generate hundreds of thousands of permanent jobs, CHSRA used these projections to help convince state voters to approve a nearly $10 billion bond issue and support the project in a 2008 referendum. Other advantages the organization cited included the reduction of pollution and fossil-fuel use by diverting millions of people to the rail line who otherwise would use automobile or air travel between cities.
With revised estimated cost of at least $69 billion, the overall project would first operate trains up to 220 mph along a 520-mile route between Anaheim and San Francisco. Extensions to San Diego and Sacramento would be built later. A total of $3.18 billion in federal funding has been approved for the state’s bullet train proposal so far, the largest amount for any pending rail project in the nation. With matching state funds, the amount available for construction is about $5.5 billion, according to CHSRA.
Since its approval, a number of events have led insiders to reconsider the wisdom of pursuing the rail project. First, based on other high-speed rail projects, CHSRA has revised its projections for ridership down- ward, suggesting that the project will serve 39 mil- lion passengers by its tenth year of operation, which is about 40% of its original estimate prior to getting funding approval. Second, another change in the origi- nal business model is that projected ticket prices have been raised to $105 for a one-way trip, although critics suggest that actual prices, based on comparable cost- per-mile data from Europe and Japan, are likely to be
closer to $190. A third concern relates to the decision to start the project with a 65-mile link between two small Central Valley communities; that is, though the high-speed rail project is specifically designed to join major metropolitan areas, the first pilot stage is to be constructed along the route that is the least populated segment of the line. This decision sits poorly not only with rail critics, but also with rail supporters, who rec- ognize the need to make a more significant statement in order to answer other objections of critics. “It defies logic and common sense to have the train start and stop in remote areas that have no hope of attaining the rid- ership needed to justify the cost of the project,” U.S. Representative Dennis Cardoza (D., Calif.) wrote in a letter to Transportation Secretary Ray LaHood.
A fourth closely questioned element in the project is the projected final price. Though CHSRA and state officials hold to the latest $69 billion price tag (a figure that has doubled since the original $33 billion estimate approved by voters in 2008), others, including the trans- portation consultants at Infrastructure Management Group, have suggested that this figure, based on his- torical data, grossly underestimates the final cost, while inflating the likely number of passengers. Economists suggest that a more likely range for the final cost of the project would be anywhere from $100 to $250 billion, and a more reasonable estimate of annual passenger traffic is in the range of 5 million. If these numbers are close to accurate (and they are disputed by CHSRA), they point to a project that cannot ever hope to pay for itself, will require long-term annual subsidies, and will place the already cash-strapped state even deeper into a financial hole. The state, which recently averted a budget crisis when it agreed to cut $15 billion in public spending, says it will match federal spending dollar for dollar and also hopes to secure private-sector invest- ment. However, with unemployment in California remaining steady at nearly 8%, these claims are being called into question.
A recent study by three economists found the CHSRA business model to be deeply flawed, con- cluding that it relies too heavily on federal grants and does not adequately address risks posed by fluctuat- ing ticket prices. “When an investor looks at an asser- tion by the CHSRA that says you’re going to earn an operating surplus of $370 million in the first year of operations and $1.5 billion profit by the third year, they shake their heads and smile,” said William Grindley, former World Bank analyst. “It doesn’t pass the smell test.” This new study calls CHSRA’s revenue esti- mates “unreasonably optimistic” and is confirmed by a 2013 study by the Reason Foundation suggesting that CHSRA could require over $350 million in annual sub- sidies to stay in business. One key linchpin to attaining sustainability, for example, is CHRSA’s ability to secure
Case Study 5.3 175
billions of dollars in additional funding from the fed- eral government. For its part, CHSRA acknowledges that the project hinges on additional funding coming from the federal government but believes that making a good faith effort to produce a workable rail network is critical for securing additional money.
Recent court decisions have put the brakes on the project as well. The California 3rd District Court ruled that the state could not continue to sell bonds support- ing the project as the CHSRA had failed to comply with its own guidelines regarding funding. Voters were originally told that state financial exposure would be l imited and that the federal government and private investors would put up most of the money— promises that so far have failed to materialize. However, Washington has committed only a few billion dollars and there is absolutely nothing else the state can expect from the federal government to support the project. The court ruled that the state’s attempt to sell $6.8 billion in bonds to fund the project violated the original provi- sions of the 2008 referendum. Jerry Brown, California’s governor, has vowed to continue the court battle as long as it takes to get the bonds approved. However, in the meantime, the project is stalled for lack of funding
to continue building the phase one, 29-mile stretch of track. The project also faces a ticking clock: If the fed- eral grant money is not used by a specific date, it will be reclaimed by Washington.
As of now, one could argue that the project’s future is simply a debate between “dueling econo- mists”; however, there is no question that the future of California’s high-speed rail is uncertain. Will the out- come be a case of the best intentions meeting economic realities? Only time will tell.26
Questions
1. Assess the benefits and drawbacks of the high- speed rail project. In your opinion, do benefits outweigh drawbacks, or vice versa? Why? Justify your answer.
2. What are the implications of starting a project based on tenuous projections that may or may not come true 10 years from now?
3. Could you justify the California high-speed rail project from the perspective of a massive public works initiative? In other words, what other fac- tors enter into the decision of whether to pursue a high-speed rail project? Why are they important?
CaSe STuDy 5.3 Project Management at Dotcom.com
Dotcom.com, a software engineering and systems de- velopment consulting firm, sells a wide assortment of Internet and computer-based solutions for resource planning, administrative, and accounting networks to organizations in health care delivery, financial services, and hotel management. Typically, a service provider approaches Dotcom.com with a list of prob- lems it has and some targets for organizational im- provement. Because most of Dotcom’s clients are not themselves computer savvy, they tend to rely heavily on Dotcom to correctly diagnose their difficulties, pro- pose solutions to correct these problems, and imple- ment the new technologies. The industry in which Dotcom operates is extremely competitive, forcing successful organizations to make low bids to win con- sulting contracts. In this environment, project man- agement is vital for Dotcom’s success because poorly managed projects quickly “eat up” the profit margin for any job.
Unfortunately, Dotcom’s senior management team has noticed a recent upsurge in project operating
costs and a related drop-off in profitability. In par- ticular, Dotcom’s executives are concerned because the last seven consulting contracts have resulted in almost no profit margin because the software systems were delivered late and required several rounds of rework to fix bugs or correct significant shortcomings in the software. The firm decided to hold a weekend off-site retreat with the project managers responsible for these most recently completed projects in order to learn why project management was being done so poorly.
To a person, the project managers fixed the blame for their problems on the clients. A typical response was made by Susan Kiley, a project manager with more than five years’ experience, who stated, “We are put in a very tough position here. Most of the custom- ers don’t know what they really want so we have to spend hours working with them to get a reasonable Statement of Work that we can develop the project scope around. This takes time. In fact, the more time I spend with the customer up front, the less I have to
(continued)
176 Chapter 5 • Scope Management
get my team to actually develop the system for them. It’s a Catch-22—If I want to get things right, I have to pry information out of them. The better I do getting a sense of their problems, the less time I have to develop and run the project!”
Jim Crenshaw, another project manager, spoke up. “It doesn’t stop there, unfortunately. My biggest problems are always on the back end of the project. We work like dogs to get a system up that corresponds to the client’s demands, only to have them look it over, push a few buttons, and start telling us that this was not anything like what they had in mind! How am I supposed to develop a system to solve their problems when they don’t know what their problems are? Better yet, what do we do when they ‘think’ they know what they want and then when we create it, they turn around and reject our solutions out of hand?”
After two hours of hearing similar messages from the other project managers, it became clear to the senior management team that the project management prob- lems were not isolated but were becoming embedded
in the firm’s operations. Clearly, something had to be done about their processes.
Questions 1. How would you begin redesigning Dotcom.
com’s project management processes to minimize the problems it is experiencing with poor scope management?
2. How do the company’s consulting clients contrib- ute to the problems with expanding or changing scope? If you were to hold a meeting with a po- tential customer, what message would you want the customer to clearly understand?
3. How do you balance the need to involve clients with the equally important need to freeze project scope in order to complete the project in a timely fashion?
4. Why are configuration management and project change control so difficult to perform in the midst of a complex software development project such as those undertaken by Dotcom.com?
CaSe STuDy 5.4 The Expeditionary Fighting Vehicle
One of the most complex and difficult congressional budget decisions in years finally came due: the deter- mination of the fate of the Marine Corps’ Expeditionary Fighting Vehicle (EFV). Given the numerous delays, tests, conditional approvals, and retests, the EFV had been no stranger to controversy. Although the EFV was loudly defended by senior officers in the Pentagon, a growing army of critics cited the vehicle’s poor test performance, and costs continued to balloon. As one reporter noted, “After 10 years and $1.7 billion, this is what the Marine Corps got for its investment in a new amphibious vehicle: A craft that breaks down about an average of once every 4½ hours, leaks, and some- times veers off course.” The biggest question is: How did things get to that point with what was viewed, for many years, as one of the Marine’s highest priority ac- quisition programs?
The EFV program began more than 20 years ago when this armored amphibious vehicle was designed to replace the 1970s-era Amphibious Assault Vehicle. The purpose of vehicles such as the EFV is to provide armored support for the early stages of amphibious assault onto enemy shores. The EFV was designed to roll off a Navy assault ship, move under its own power at 20 mph on the water’s surface for distances up to 25
miles while transporting a Marine rifle squad (up to 17 Marines), cross hostile beaches, and operate on shore. The EVF was moderately armored and carried a 30-mm cannon in a turret for offensive firepower. The EVF often was described as a Marine Corps variant of the Bradley Fighting Vehicle.
The EFV began as a state-of-the-art acquisi- tion program for the Department of Defense (DoD). Following a concept exploration phase to determine the viability of the project that began in 1988, the project entered a program definition and risk reduc- tion phase during which it was considered “a model defense acquisition program,” winning two DoD awards for successful cost and technology manage- ment. The original contract was awarded to General Dynamics Corporation in June 1996 for full engi- neering and design work, and that corporation was awarded a subsequent contract for the system devel- opment and demonstration (SDD) phase of the pro- gram in July 2001. It is during this critical stage that all the complex engineering, systems development, and functionality of the program must be successfully demonstrated. Perhaps unwisely, General Dynamics budgeted only 27 months for total testing and system verification.
Case Study 5.4 177
This far-too-ambitious schedule soon became a problem for General Dynamics and the EFV as a series of technical problems began to surface. Two addi- tional years were added to the SDD phase as it became apparent that the EFV concept was beset with numer- ous unforeseen problems. In December 2004, tests of EFV prototypes demonstrated further problems. The tests showed severe failure in the vehicle’s main com- puter system, causing the vehicle’s steering to freeze. The hydraulic systems powering the vehicle’s bow- flap, installed to make the EFV more seaworthy, began leaking and failing. The EFV was originally intended to operate for an average of 70 hours between mission fail- ure breakdowns, but because of the numerous reliability problems, the Marines reduced this figure to 43.5 hours. Following these prototype tests, an additional two years were added to the program development schedule.
The year 2006 was not a good one for the Expeditionary Fighting Vehicle. The EFV was put through a critical operational assessment, which is a series of tests to demonstrate that it could meet performance requirements and was ready for produc- tion. The EFV performed abysmally, experiencing numerous system failures, breakdowns, and failure in its reliability assessment. During the tests, the vehicles were able to operate on average for only 4.5 hours between breakdowns, and it took nearly 3.5 hours of corrective maintenance for every hour of operation. Poor reliability resulted in 117 mission failures and 645 acts of unscheduled maintenance during the tests. The EFV’s reliability was so poor that it successfully com- pleted only 2 of 11 attempted amphibious tests, 1 of 10 gunnery tests, and none of the 3 land mobility tests. Other problems included the fact that the prototypes were nearly one ton overweight, suffered from limited visibility, and were so noisy that the driver was advised to wear ear plugs while in the driver’s chair, despite the fact that doing so would make it nearly impossible to communicate with the EFV’s commander. In fact, so poorly did the EFV fare during the operational assess- ment that the Marines announced they were going back to the drawing board with the design, aiming to complete a new SDD phase by 2011, eight years behind the original schedule.
Meanwhile, the program’s costs just kept rising. When the EFV was first conceived, the Marines planned to purchase 1,025 of them at a total cost of $8.5 billion. Subsequently, a DoD estimate put the program’s cost at upwards of $14 billion dollars, while the Marines had trimmed their order to 573 vehicles. In effect, even assuming those final figures were to hold, the cost of the EFV had risen from $8.3 million per vehicle to slightly more than $23 million. Overall, the Pentagon estimated it had spent $2.9 billion on the program in R&D and testing costs before buying a single vehicle.
wrong weapon for the wrong war?
The ongoing litany of failures associated with the EFV’s development gave rise to some more fundamental ques- tions about the purpose behind developing the vehicle. Critics argued that the EFV simply did not serve a meaningful role in the modern Marine Corps’ mission. Among their concerns were the following points:
• Modern warfare does not offer options for “storm- ing the beaches,” as the old Marine Corps model envisions. Low-level, regional, or urban conflicts make the need for amphibious assault an anach- ronism in the modern day. As Laura Peterson, a defense analyst with Taxpayers for Common Sense, suggested, “This thing isn’t just fighting the last war, it’s fighting last century’s wars.”
• The advance in cruise missile technology makes the “25 mile offshore” model obsolete. When the EFV was envisioned, it was believed that the Navy could protect its ships by remaining just over the horizon, disembarking EFVs from that distance to assault enemy shores. Critics con- tended that new cruise missiles have a range of over 100 miles, making the EFVs or the Navy’s ships vulnerable to attack if they were to follow the original model.
• The flat bottom of the EFV, necessary for ship-to- shore transportation, makes them extremely vul- nerable to the shaped charges from improvised explosive devices (IEDs), used so effectively in Iraq and Afghanistan. General Dynamics argued that redesigning the bottom of the vehicle would alter its amphibious characteristics.
A number of senior Pentagon officials, including the Commandant of the Marine Corps, stood by the EFV, arguing that the Marine’s “expeditionary” mis- sion will remain alive and in effect into the foreseeable future. The EFV, they believed, was a critical element in the deployment and striking capability of the Marines. However, other high-ranking government officials, including the Secretary of Defense, gave only tepid and qualified support for the continued development and deployment of the EFV.
Final rounds of funding began to limit additional money for the EFV and to tie continued support to the ability of General Dynamics and the Marines to demonstrate much improved reliability and overall system effectiveness. For example, in 2010 the Senate Appropriations Committee authorized $38 million for one more round of tests and set aside $184 million to shut the program down in the event the vehicle failed the tests again. The axe finally fell at the start of 2011, when Secretary Gates sent his preliminary budget to Congress. Among the casualties of the cost-cutting knife was the EFV program. The program had long
178 Chapter 5 • Scope Management
been teetering on the brink, so in a world of smaller Pentagon budgets and more aggressive program over- sight, perhaps it was inevitable that the EFV would finally slip over the edge.27
Questions
1. What does the story of the EFV suggest about the importance of considering what a project’s key mission is supposed to be prior to authorizing it?
2. The EFV has been labeled, “The wrong weapon for the wrong war at the wrong time.” Do you agree or disagree with this characterization? Why?
3. Why does the EFV failure illustrate the dangers of long lead-times for weapon systems? In other words, when a project’s development cycle takes 20 years from start to finish, what dangers do the project developers face when the project is finally operational?
Internet exercises
5.1 Go to http://4pm.com/category/project‐plan/wbs/ and view a short tutorial on developing an effective Work Breakdown Structure. Why does this site specifically warn against creating a laundry list of project activities? What are some of the dangers in creating poor work breakdown structures and the advantages of doing them effectively?
5.2 Go to http://www.docstoc.com/docs/85831907/Proposal- for-Professional-Services-or-Sow to see a process for describ- ing and creating a Statement of Work for the Minnesota Job Bank Upgrade project. In your opinion, what are some of the critical elements in this Statement of Work? Why? The site also contains an “IT Professional Services Master Contract Work Order.” Why is this work order so detailed?
5.3 Access https://www.mtholyoke.edu/sites/default/files/ datawarehouse/docs/dwprojectprocessanddocumentation .pdf. Analyzing the comprehensive Scope Statement for the data warehousing project, what problem is this project seeking to address? What is the proposed solution?
PMP certificAtion sAMPle QUestions
1. What is the lowest level of decomposition in the Work Breakdown Structure called?
a. Work package b. Deliverable c. Subdeliverable d. Project
2. All of the following define a work package EXCEPT: a. A work package has a deliverable result b. It may be considered by its owner as a project in
itself c. A work package may include several milestones d. A work package can be created and addressed re-
gardless of other organizational procedures of cul- tural considerations
3. George has been assigned to be the new project man- ager for our project. He is eager to get off to a good start and wants to identify what activities he should first engage in. How would you advise him to start?
a. Begin with the Work Breakdown Structure (WBS) b. Begin with a clear scope statement
c. Begin with a problem statement and Statement of Work (SOW)
d. Begin with clear work authorization
4. The project manager wants to make sure that he is proceeding in the right order as he moves to develop a clear scope for his project. During scope definition, what should he be doing?
a. Involving stakeholders and verifying that they have all provided their input to the process
b. Developing his WBS and OBS c. Moving as quickly as possible to the determination
of scope reporting methods d. Identifying all necessary vendors for any outsourc-
ing that must be done
5. A hospital expansion is being planned for a com- munity. As part of the scope of this project, it will be necessary to close down the access routes into the emergency room for major remodeling; however, be- cause this is the only hospital for trauma cases within 50 miles, it is not possible to completely shut down the emergency room. The project team will have to find a means to remodel the emergency room while allowing for continuous operations of the unit. This is an example of what?
a. Negotiation points with the owner b. Constraints c. Initial assumptions d. Milestone development
Answers: 1. a—The work package is the lowest level in the Work Breakdown Structure (WBS); 2. d—A work package should fit organizational procedures and culture; 3. c—The project should initiate with a clear problem state- ment and understood SOW supporting it; 4. a—It is criti- cal that all stakeholders have the opportunity to contribute their input to the project during the scope definition phase; 5. b—The need to keep the emergency room open during the remodeling is an example of working around existing project constraints.
MS Project Exercises 179
MS Project exercises
Using the information provided below, construct a simple WBS table for the project example.
Project Outline—Remodeling an Appliance
i. Research Phase A. Prepare product development proposal
1. Conduct competitive analysis 2. Review field sales reports 3. Conduct technological capabilities assessment
B. Develop focus group data c. Conduct telephone surveys d. Identify relevant specification improvements
ii. Design and Engineering Phase A. Interface with marketing staff B. and so on
iii. Testing Phase iv. Manufacturing Phase v. Sales Phase
180 Chapter 5 • Scope Management
appendIx 5.1
Sample Project charter
Project chArter
version history
Version # implemented By revision Date Approved By Approval Date reason
0.1 Sarah Hughes 9/1/15 Initial charter draft
0.2 Sarah Hughes 10/1/15 George Blankenship
10/4/15 Updates per sponsor
0.3 Sarah Hughes 10/15/15 Updates per executive committee
Project title: Project Management Resource Training and Deployment
scope and objectives: The XYZ Corporation has determined that they are understaffed in relation to fully-trained and appropriately deployed project managers. There is an urgent need to identify potential candidates internally and create training programs to develop their project management skills. Further, project managers within the corporation must perceive a career path through the project management function as a means to promotion to higher corporate levels.
overview: Since 2010, business-related commercial projects have increased 55%, resulting in average resource commitment of 31 hours per week on project-related activities. Average project performance since 2010 has been significantly degraded: average cost overrun = 28%, average schedule overrun = 34%, quality failure mitigation costs have increased 24%. Project manager resources have decreased in real numbers from 112 in 2010 to 87 in 2015 (a loss of 22%). Human Resource projections expect that we will see an additional 41 project managers retire within the next three years. XYZ Corporation cannot continue to sustain the losses from project ventures, coupled with the loss of senior project personnel. This project was initiated to begin identifying and training a replacement cohort of project managers.
general objectives:
1. Identify potential project managers from within Engineering, Commercial, and Supply Chain functions.
2. Determine the critical skill set that successful project managers need at XYZ. 3. Develop training programs to promote the critical project management skill set.
specific objectives:
1. Identify potential project managers. a. Determine strong candidates through mentoring and past experience on projects. b. Enlist their willingness to commit to project management as a career path. c. Develop “candidate ready” list and “potential future candidate” list.
2. Determine critical project management skills. a. Survey leaders and team members of past successful projects. b. Work with local university faculty to create database of critical skills.
3. Initiate project manager training program. a. Secure top management support and funding. b. Identify appropriate HR staff and university faculty for training.
defining conditions and constraints: Project management resource training and deployment program must be operational within six months of approval. The program will occur in three phas- es: (1) project management skill survey, (2) candidate identification, and (3) program development. All elements of the survey and candidate identification must be completed before formal approval of the training initiatives. Final phase will be collaboration with industry experts and university faculty on formal training.
Appendix 5.1 Sample Project Charter 181
Project organization: Key members of the project team are:
1. Sponsor: George Blankenship, VP of Human Resources 2. Project Manager: Sarah Hughes, Senior Engineer 3. Disciplinary Representatives: Teresa Connelly, Supply Chain
a. Teresa Connelly, Supply Chain and Procurement b. Vince Walters, Commercial c. Evan Telemann, Engineering
4. Team members: No more than two additional team members from the disciplinary functions will be appointed, based on recommendations from the disciplinary representatives. All team members will be 100% dedicated to the project for a period of not less than 90 business days.
Project Manager responsibilities:
1. Staffing – The project manager is ultimately responsible for the performance of all members of the team and will be granted authority, in collaboration with each person’s current disci- plinary manager, to complete a performance appraisal for the calendar year. The project man- ager is authorized to use one member of the clerical staff on a half-time (20 hours) basis per week for the duration of the project. Additional staff support may be available upon request.
2. Budget – The estimated budget for this project, including fully loaded personnel charges, is $240,000, to be charged against the Human Resources budget in three equal monthly install- ments. Additional budget money may be available upon formal request submitted jointly by the project manager and sponsor to the executive committee.
3. Status Updates – All communications on project status must be made to the chief executive officer. Additionally, monthly updates on the project status will be made at executive com- mittee meetings.
4. Planning/Tracking – The project will use standard corporate tracking software (MS Project) and will report on schedule, exception reports, slippages, and cost performance. Additionally, earned value metrics (SPI and CPI) will be employed throughout the project duration.
5. Change Control and Configuration – The project manager will have authority to make changes to the project provided they do not exceed $2,500 and have no negative impact on the project schedule. Otherwise, changes to the project scope or development must receive sponsor approval.
6. Project Plan – A formal project plan, including statement of work (SOW), risk assessment and mitigation, work breakdown structure (WBS), schedule, and budget must be submitted to the sponsor not later than June 15.
Authority: The project manager will have full authority to identify necessary tasks and resources needed to help complete these assignments. Where resource conflicts occur, the sponsor and other disciplinary VPs will resolve them.
Approvals:
Vice President Engineering ________________________________________
Vice President Supply Chain and Procurement ________________________________________
Vice President Commercial ________________________________________
Vice President Human Resources ________________________________________
President and CEO ________________________________________
182 Chapter 5 • Scope Management
iNteGrAteD Project
Developing the Work Breakdown Structure Develop a Work Breakdown Structure for your project based on the identified goals from the first assign- ment. Provide a detailed assessment of the various components of the project, going down through the work package stage to tasks and subtasks (if appropriate). Next, assess the personnel needs for the project. How many core team members will be necessary to achieve the project’s goals? What are their positions within the organization? Remember to use the project scope as the basis for determining all the elements of the project, the personnel responsible for each component, and the associated budget for each task.
In addition to identifying the tasks and key personnel requirements for the project, construct a Respon- sibility Assignment Matrix (RAM) that demonstrates the interrelationship among project team members.
SAMPle Work BreAkDoWN StrUctUre—ABcUPS, iNc.
Personnel table
Name Department title
Carol Johnson Safety Safety Engineer
Bob Hoskins Engineering Industrial Engineer Sheila Thomas Management Project Manager Randy Egan Management Plant Manager Stu Hall Industrial Maintenance Supervisor Susan Berg Accounting Cost Accountant Marty Green Industrial Shop Supervisor John Pittman Quality Quality Engineer Sally Reid Quality Jr. Quality Engineer Lanny Adams Sales Marketing Manager Kristin Abele Purchasing Purchasing Agent
Work BreAkDoWN StrUctUre—ABcUPS’ ProceSS MoDificAtioN
Process Modification Project 1000
Deliverable 1 feasibility Study 1010
Work Package 1 Conduct feasibility study 1011
Work Package 2 Receive technical approval 1012
Work Package 3 Get administrative sign-off 1013
Deliverable 2 Vendor Selection 1020
Work Package 1 Research equipment 1021
Work Package 2 Qualify suppliers 1022
Work Package 3 Solicit quotes from suppliers 1023
Work Package 4 Negotiate price and terms 1024
Work Package 5 Approval and contracts 1025
Deliverable 3 Design 1030
Work Package 1 Factory floor redesign 1031
Work Package 2 Drawings 1032
Work Package 3 Process redesign approval 1033
Deliverable 4 engineering 1040
Work Package 1 Conduct process flow evaluation 1041
Work Package 2 Determine site for equipment 1042
Responsibility Assignment Matrix
Sheila Susan Bob Lanny
Del 1010
Del 1020
Del 1030
Del 1040
Del 1050
Del 1060
Del 1070
Del 1080
Responsible
Notification
Support
Approval
Work Package 3 Retooling 1043
Work Package 4 Final layout approval 1044
Deliverable 5 Prototype testing 1050
Work Package 1 Build inventory bank 1051
Work Package 2 Set up trial run 1052
Work Package 3 Trial run 1053
Work Package 4 Quality assessment 1054
Work Package 5 Process documentation 1055
Deliverable 6 Packaging 1060
Work Package 1 Design new packaging 1061
Work Package 2 Coordinate with marketing 1062
Work Package 3 Part assembly 1063
Work Package 4 Packaging approval 1064
Deliverable 7 Sales and Service 1070
Work Package 1 Beta-test products 1071
Work Package 2 Sales approval 1072
Work Package 3 Customer approval 1073
Deliverable 8 initiate changeover 1080
Work Package 1 Assemble inventory 1081
Work Package 2 Cancel vendor contracts 1082
Work Package 3 Close out project 1083
Work Package 4 Develop lessons learned 1084
Integrated Project 183
184 Chapter 5 • Scope Management
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work methods,” in Turner, R. (Ed.), Gower Handbook of Project Management, 3rd ed. Aldershot, UK: Gower.
24. Antonioni, D. (1997). “Post-project review prevents poor project performance,” PMNetwork, 11(10).
25. Kouri, J. (2010, November 11). “Border ‘virtual fence’ project a costly failure.” http://island-adv.com/2010/11/ border-% E2%80%9Cvirtual-fence%E2%80%9D-project-a- costly-failure/; Krigsman, M. (2007, August 23). “Boeing virtual fence: $30 billion failure.” www.zdnet.com/ blog/project failures/boeing-virtual-fence-30-billion- failure/36; Krigsman, M. (2007, September 24). “Update: Boeing’s virtual fence ‘unusable.’” www.zdnet.com/ blog/projectfailures/update-boeing-virtual-fence-unus- able/403; Lipowicz, A. (2010, April 21). “Senate committee chairman suggests killing Boeing’s virtual fence.” http:// washingtontechnology.com/ articles/2010/04/21/lieber- man-calls-sbinet-virtual-fence-a-failure.aspx; Richey, J. (2007, July 7). “Fencing the border: Boeing’s high-tech plan falters.” www.theinvestigativefund.org/investigations/ immigrationandlabor/1243/fencing_the_ border%3A _boeing%27s_high-tech_plan_falters
26. California High-Speed Rail Authority Web site, www. cahighspeedrail.ca.gov/home.aspx; Castaneda, V., and
Notes
Notes 185
Severston, A. (2010, October 11). “Economists say high- speed rail system won’t make money.” http://menlopark. patch.com/articles/economists-say-high-speed-rail- sys- tem-will-never-achieve-positive-cash-flow; Enthoven, A., Grindley, W., and Warren, W. (2010). “The financial risks of California’s proposed high-speed rail.” www.cc-hsr. org/assets/pdf/CHSR-Financial_Risks-101210-D.pdf; Garrahan, M. (2009, October 6). “California keen to set the pace.” Financial Times, www.ft.com/cms/s/0/1c0b3676- b28a-11de-b7d2-00144feab49a.html#axzz18CGc6USH; Mitchell, J. (2010, December 13). “At start of rail project, a tussle over where to begin.” Wall Street Journal, http:// online.wsj.com/article/SB100014240527487037278045760 11871825514428.html; “Subsidy trains to nowhere.” (2010, December 11–12). Wall Street Journal, p. A14; Weikel, D. (2010, December 10). “U.S. shifts $624 million to California bullet train.” Los Angeles Times, http://articles.latimes.com/2010/ dec/10/local/la-me-high-speed-money-20101210; Rosenberg, M. (2013, April 3). “California high-speed rail costs soar again—this time just for planning.” San Jose Mercury News. www.mercurynews.com/ci_22929875/
california-high-speed-rail-costs-soar-again-this; Reason Foundation (2013, April 11). “Study: California high-speed rail system would lost $124 to 373 million a year.” http:// reason.org/news/show/study-california-high-speed-rail.
27. Feickert, A. (2008). “The Marines’ Expeditionary Fighting Vehicle (EFV): Background and issues for Congress.” Congressional Research Service, Library of Congress. www. dtic.mil/cgi-bin/GetTRDoc?Location=U2&doc=GetTR Doc.pdf&AD=ADA486513; Hodge, N. (2010, August 27). “Marines question craft needed to hit the beach,” Wall Street Journal, p. B8; www.wired.com/dangerroom/2008/08/ marines-swimmin/; Merle, R. (2007). “Problems stall Pentagon’s new fighting vehicle.” www.washing- tonpost.com/wp-dyn/content/article/2007/02/06/ AR2007020601997.html; Ackerman, S. (2010). “Senate may finally sink Marines’ swimming tank.” www.wired.com/ dangerroom/ 2010/09/senate-may-finally-sink-marines- swimming- tank/; www.aviationweek.com/aw/jsp_in- cludes/articlePrint. jsp?storyID=news/asd/2010/11/08/01. xml&headLine=null; www.aviationweek.com/aw/generic/ story.jsp?id=news/asd/2010/10/12/08.xml&channel=misc.
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6 ■ ■ ■
Project Team Building, Conflict, and Negotiation
Chapter Outline Project Profile
Engineers Without Borders: Project Teams Impacting Lives
introduction 6.1 Building the Project team
Identify Necessary Skill Sets Identify People Who Match the Skills Talk to Potential Team Members and Negotiate
with Functional Heads Build in Fallback Positions Assemble the Team
6.2 characteristics of effective Project teams A Clear Sense of Mission A Productive Interdependency Cohesiveness Trust Enthusiasm Results Orientation
6.3 reasons Why teams fail Poorly Developed or Unclear Goals Poorly Defined Project Team Roles and
Interdependencies Lack of Project Team Motivation Poor Communication Poor Leadership Turnover Among Project Team Members Dysfunctional Behavior
6.4 stages in grouP develoPment Stage One: Forming Stage Two: Storming Stage Three: Norming Stage Four: Performing
Stage Five: Adjourning Punctuated Equilibrium
6.5 achieving cross-functional cooPeration Superordinate Goals Rules and Procedures Physical Proximity Accessibility Outcomes of Cooperation: Task and
Psychosocial Results 6.6 virtual Project teams Project Profile
Tele-Immersion Technology Eases the Use of Virtual Teams
6.7 conflict management What Is Conflict? Sources of Conflict Methods for Resolving Conflict
6.8 negotiation Questions to Ask Prior to the Negotiation Principled Negotiation Invent Options for Mutual Gain Insist on Using Objective Criteria
Summary Key Terms Discussion Questions Case Study 6.1 Columbus Instruments Case Study 6.2 The Bean Counter and the Cowboy Case Study 6.3 Johnson & Rogers Software
Engineering, Inc. Exercise in Negotiation Internet Exercises PMP Certification Sample Questions Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand the steps involved in project team building. 2. Know the characteristics of effective project teams and why teams fail. 3. Know the stages in the development of groups. 4. Describe how to achieve cross-functional cooperation in teams. 5. See the advantages and challenges of virtual project teams. 6. Understand the nature of conflict and evaluate response methods. 7. Understand the importance of negotiation skills in project management.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Plan Human Resource Management (PMBoK sec. 9.1) 2. Acquire Project Team (PMBoK sec. 9.2) 3. Develop Project Team (PMBoK sec. 9.3) 4. Manage Project Team (PMBoK sec. 9.4)
Project Profile
engineers Without Borders: Project teams impacting lives
In 2000, Bernard Amadei, a civil engineering professor at the University of Colorado at Boulder, visited San Pablo, Belize, where the sight of little girls hauling water instead of attending school broke his heart. Upon his return to Boulder, he recruited eight civil and environmental engineering students to design and install a clean water system powered by a local waterfall. The total cost, including airfare for him and his students, came to US$14,000.
It was just the beginning for Amadei, who went on to found Engineers Without Borders–USA in 2002. The orga- nization now inspires nearly 14,000 members in over 250 chapters around the country. The more than 350 programs currently underway lean heavily toward civil engineering—a farm irrigation system in Bolivia, a geothermal heating system for a Native American tribe in South Dakota—but some, such as small hydroelectric systems and rooftop solar panel installations, require the skills of electrical engineers. By the latest reckoning, EWB-USA has impacted for the bet- ter the lives of over 2.5 million people worldwide.
The U.S. organization follows in the footsteps of a movement that began in France in the 1980s and then spread to Spain, Italy, Canada, and many other countries. The organizations were quite independent, though, sharing only a name and a mission, so in 2004 Amadei created an informal network, EWB-International. Today it has 45 member groups, including ones in Kosovo, Rwanda, and Iran.
“Amadei tapped into a previously unexploited humanitarian passion within the U.S. engineering community,” says Peter Coats, a civil engineer and cofounder of EWB-USA’s San Francisco chapter, the first to consist of profession- als instead of students. That higher purpose is particularly attractive to women, who make up more than 40 percent of student volunteers, twice the proportion of female engineering graduates. “They identify more with people and humanity,” says Cathy Leslie, a civil engineer who serves as the executive director of EWB-USA. “Women don’t thrive on creating technology for technology’s sake.”
Communities or local non-government organizations (NGOs) provide EWB-USA with a wish list of needs, and the organization plays matchmaker, helping pair chapters with specific projects. Clean water tops the list—establishing sewage systems, sanitation systems for collecting and disposing of waste, and irrigation canals. Cheap, renewable sources of electricity are also a common need.
These projects can’t be built in a day, and like almost all engineering work, they need to be maintained and upgraded, so there is an emphasis on imparting knowledge to local community members and NGOs. For this, project teams include trainers and business folks in addition to engineers. “You establish a sort of trust, which is really power- ful,” says Eyleen Chou, the president of the University of Wisconsin–Madison’s student chapter. “There’s no reason why you shouldn’t stay 10 years or longer.”
Leslie says that successful chapters such as Chou’s can build and maintain many projects despite a constant rota- tion of entering freshmen and departing seniors. They establish training programs and mentorships, devise ways for
(continued)
Project Profile 187
188 Chapter 6 • Project Team Building, Conflict, and Negotiation
IntroductIon
The difficulties involved in building and coordinating an effective team can be daunting and highly complex. Becoming technically proficient at scheduling, budgeting, and project evaluation is essential in developing the necessary project management skills; however, it is equally impor- tant to develop an appreciation for and willingness to undertake the human challenges of the job. team building and conflict management are two of the most important people skills that project managers can cultivate, but they are also two of the most difficult undertakings. We must use our leadership skills to negotiate with department managers for access to skilled personnel for team staffing; we must recognize that no project team comes “fully assembled” and ready to go. Simply grouping a collection of diverse individuals together is not the same thing as building a team.
This chapter offers an overview of some of the key behavioral tasks facing project managers: staffing a project team, building a sense of common purpose and shared commitment, encouraging cross-functional cooperation among team members, and recognizing the causes of and resolving conflicts among all project stakeholders. The bad news is that this is not an easy process; it does not involve formulas or calculations in the same way that task duration estimation does. The “rules” of
FIgure 6.1 eWB Project team laying Water Pipes with local Workers
Source: Dieter Heinemann/Westend61/Corbis
new students to contribute, and find sustainable funding. Chapters are expected to raise the majority of project money themselves, but they work under basic guidelines. At a project’s onset, they consult with an EWB-USA technical advisory committee to tweak and finalize plans. Teams must commit five years to a project.
In addition to the student chapters at universities, EWB-USA maintains a number of professional chapters around the country. However, maintaining effective, temporary teams is a challenge; especially for a volunteer organization. Professional chapters have problems of bringing new volunteers up to speed while experienced ones drop out—and their members face the additional challenge of juggling their project work with full-time jobs. For example, the San Francisco chapter’s members typically spend at least five hours per week, but this can spike during special events or an actual field visit. Members have on occasion spent over 30 hours a week on EWB activities in addition to working their regular jobs.
In the process of improving others’ lives, EWB is also creating a better brand of engineer, says Leslie. “The work we do has educational value for the student,” she says, and taking a professional out of the office “makes for a more well-rounded engineer.”1
6.1 Building the Project Team 189
human behavior often consist of broad generalizations, at best, which should be used only to sug- gest appropriate managerial actions. The good news is that when carefully evaluated and applied, managing the people side of project management can be just as effective, rewarding, and important for project success as any of the technical duties.
Project staffing, team building, cross-functional cooperation, and conflict management are not supplementary topics in project management; the study of these skills is central to our ability to become proficient in a highly complex and challenging profession. This chapter will not only analyze the team building and conflict processes, but it will also offer some prescriptive advice to readers on how to improve these processes and skills in managing human behavior. One point is clear: If we undertake projects with a project team as our principal resource for getting work done and the project completed, it is vital that we learn everything possible about how to mold people into a high-performing team and how to control the inevitable conflicts that are likely to emerge along the way.
6.1 BuIldIng the Project team
Effective project teams do not happen by accident. A great deal of careful work and preparation goes into the steps necessary to first staff and then develop project team members to the point where they begin to function jointly and the project reaps positive dividends from their collec- tive performance. The best-case scenario for project managers is to take over a project with a uni- fied team composed of individuals who lobbied for and were awarded with membership on the team. Unfortunately, in many organizations, project teams are put together based on other criteria, most notably whoever is available. Regardless of the circumstances, the project manager is faced with the challenge of creating from a set of diverse individuals a high-performing, cohesive proj- ect team. The preferred process, however, should be as structured as possible; staffing is ideally aligned with the project manager’s judgment of what is best for the project.
Figure 6.2 illustrates how project team personnel may be assigned. Within many organiza- tions, this process emerges as the result of protracted negotiations with functional or departmental supervisors, as we discussed in Chapter 2. The flowchart in Figure 6.2 illustrates several key deci- sion points or critical interfaces in developing a project team.2
Identify necessary Skill Sets
The first stage in project team development is to conduct a realistic assessment of the types of skills the team members will need in order to complement each other and perform their project duties as effectively as possible. For example, in projects with a high technical complexity, it is imperative to ascertain the availability of skilled human resources and their capability of adding value to the project development. No one would seriously embark on a software development project without first ensuring that the technical steps in the project are clearly understood.
Identify People Who match the Skills
Once a reasonable assessment of the required project skills has been completed, a complemen- tary assessment of the availability of personnel with the requisite skills is necessary. We have two options: (1) hire new personnel for the project (e.g., in many cases, companies will hire con- tractors on a fixed-term basis for the life of a project), or (2) train current personnel to become proficient in the skills they will need to perform the tasks. The final decision often comes down to a cost/benefit assessment: Who can do the work? Is the cost of hiring or training the person to do the job prohibitively expensive? Once the person has been trained/hired, will these skills be of continuing benefit to the company?
talk to Potential team members and negotiate with Functional heads
The third step in the process of building the project team involves opening communication with likely candidates for the team and assessing their level of interest in joining the project. In some cases, personnel have a great deal of authority in assigning their own time to projects. However, in most cases (particularly within functional organizations), all functional specialists are under the authority of departmental heads. Consequently, at some point the project manager must begin
190 Chapter 6 • Project Team Building, Conflict, and Negotiation
to enter into negotiations with these functional heads for the services of prospective project team members. These negotiations can be complex and lengthy.
Departmental managers generally are not opposed to the use of their personnel on proj- ects. They are, however, primarily concerned with the smooth operations of their organizations. Depriving a functional manager of key personnel to serve on a project team can be seen as threat- ening a smoothly operating department. Hence, negotiations are required. Among the issues to be decided are:
1. How long are the team members services required? Project team members can be assigned on a full-time basis (40 hours per week) or a part-time basis (less than 40 hours per week). Further, the team member may be assigned for a fixed period (e.g., six months) or for the duration of the project.
Identify skills required (from WBS)
Identify personnel to match the skills
Talk to potential team members
Negotiate with the functional supervisor
Renegotiate with top management
Notify top management of consequences
Try to get partial assistance
Adjust project schedule, budget, and/or priorities
Success?
Success?
Assemble the team
• Develop skills inventory matrix • Develop responsibility matrix • Clarify roles • Clarify methods and procedures
NO
YES
NO
YES
• From permanently assigned staff or functional groups
• Explain nature of project and gauge their interest
FIgure 6.2 Basic Steps in Assembling a Project team
Source: V. K. Verma. (1997). Managing the Project Team, p. 127. Upper Darby, PA: Project Management Institute. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
6.1 Building the Project Team 191
2. Who should choose the person to be assigned to the project? Another point of negotiation is the question of who should select the individual to serve on the project team. The func- tional manager may have her own ideas as to the best choice, while the project manager may employ different criteria and come up with other possible candidates.
3. What happens when special circumstances arise? In the event of some emergency or spe- cial circumstance, the functional department head may wish to retain control of the team member or have the option of suddenly recalling that individual back to work on departmen- tal activities. How will “emergencies” be defined? If the team member is recalled, how will the department provide a replacement? What is the maximum amount of time a team mem- ber can be removed from his project duties? All these questions are important and should be resolved prior to the appointment of project team members.
Most project resources are negotiated with department managers. This point is critical: For the majority of project managers, their outright control over project team members may be limited, particularly early in the process when project team assignments are being made. The best strategy a project manager can engage in at this point is to have thought carefully about the types of exper- tise and skills that will be required for successful completion of the project and begin bargaining with these clear goals in mind. Treat functional managers as allies, not opponents. The organiza- tion supports the project; functional departments will support it as well, but their level of support must be carefully planned in advance.
Build in Fallback Positions
What are your options as the project manager when resources are not available? Suppose, for example, that you need three highly trained design engineers for the project and the head of engi- neering is unwilling to part with them or negotiate a compromise. As Figure 6.2 demonstrates, in the event that negotiations with functional managers and top managers are not fruitful, the project manager is faced with three basic alternatives.
try to negotIate For PartIal aSSIStance The best alternative to an outright refusal is to seek some limited assistance. One reason for this approach is that it gets your foot in the door. Once the personnel are assigned to the project, even on limited terms, it forms the basis for your returning to the department head at a later point to ask for them again, while only slowing down the project marginally. This principle argues, in effect, that it is better to have half a loaf than none.
adjuSt Project ScheduleS and PrIorItIeS accordIngly When critical resources are not available, the project schedule must be adjusted to reflect this fact. As we will note in Chapter 12, “Resource Management,” there is no point in developing a sophisticated project schedule if it is not supported by resources. Or, to put it another way, until we can match people to project tasks, we cannot make progress. With a failure to convince functional managers that their resources are needed to support the project, serious and honest adjustments must be made to all project plans, including scope documents, schedules, risk assessment, and so forth.
notIFy toP management oF the conSequenceS Failing to gain necessary resources must be reported to top management, the ultimate sponsors of the project. They may, in the end, become the final arbiters of the resource and staffing question. In the face of persistent resistance from a functional manager, the only recourse may be to present to top management, as candidly as possible, the implications for project success without sufficient support. The final decision then comes down to top management: They will either support the project and require that staffing be completed as requested, suggest a compromise, or support the functional manager. In the first two cases, the project will proceed; in the third, top management is effectively ending the project before it has begun.
assemble the team
When the project has been staffed and approved, the final step is assembling the project team. This involves developing a skills inventory matrix that identifies the skills needed for the project against the skills we have acquired and a responsibility matrix using the Responsibility Activity
192 Chapter 6 • Project Team Building, Conflict, and Negotiation
Matrix (RAM) methodology (discussed in Chapter 5). Also, all project team roles and responsibili- ties must be clarified, along with all project team methods, expectations, and standard operating procedures. Where any of these do not exist, it will be necessary to begin establishing them.
6.2 characterIStIcS oF eFFectIve Project teamS
A great deal of research has investigated the qualities that effective teams possess and how those same qualities are missing from less effective groups. Successful teams share common underlying features, including a clear sense of mission, an understanding of team interdependencies, cohe- siveness, a high level of trust, a shared sense of enthusiasm, and a results orientation.
a clear Sense of mission
A key determinant of project success is a clear project mission.3 Further, that sense of mission must be mutually understood and accepted by all team members. Research has demonstrated that a clearly understood project mission is the number one predictor of success as the project is being developed.4 Two important issues are clear: First, project teams perform well when there is a clear sense of purpose or objectives for their project; and second, the more widely shared and under- stood those goals, the better the project performance. The alternative is to allow the project man- ager to function as the hub of a wheel, with each team member as a separate spoke, interacting only through the project manager. This arrangement is not nearly as useful or successful as one in which all project team members understand the overall project objectives and how their perfor- mance contributes to achieving those objectives.
A mistake sometimes made by project managers is to segment the team in terms of their duties, giving each member a small, well-specified task but no sense of how that activity contrib- utes to the overall project development effort. This approach is a serious mistake for several impor- tant reasons. First, the project team is the manager’s best source for troubleshooting problems, both potential and actual. If the team is kept in the dark, members who could potentially help with the smooth development of the project through participating in other aspects of the installa- tion are not able to contribute in helpful ways. Second, team members know and resent it when they are being kept in the dark about various features of the project on which they are working. Consciously or not, when project managers keep their team isolated and involved in fragmented tasks, they are sending out the signal that they either do not trust their team or do not feel that their team has the competence to address issues related to the overall implementation effort. Finally, from a “firefighting” perspective, it simply makes good sense for team leaders to keep their people abreast of the status of the project. The more time spent defining goals and clarifying roles in the initial stages of the team’s development, the less time will be needed to resolve problems and adju- dicate disputes down the road.
a Productive Interdependency
Interdependency refers to the degree of joint activity among team members that is required in order to complete a project. If, for example, a project could be completed through the work of a small number of people or one department in an organization, the interdependence needed would be considered low. In most situations, however, a project manager must form a team out of members from various functional areas within the organization. For example, an IT project introduction at a large corporation could conceivably require the input or efforts of a team that included members from the Information Systems department, engineering, accounting, marketing, and administra- tion. As the concept of differentiation suggests, these individuals each bring to the team their pre- conceived notions of the roles that they should play, the importance of their various contributions, and other parochial attitudes.
interdependencies refer to the degree of knowledge that team members have and the impor- tance they attach to the interrelatedness of their efforts. Developing an understanding of mutual interdependencies implies developing a mutual level of appreciation for the strengths and contri- butions that each team member brings to the table and is a precondition for team success. Team members must become aware not only of their own contributions but also of how their work fits into the overall scheme of the project and, further, of how it relates to the work of team members from other departments.
6.2 Characteristics of Effective Project Teams 193
cohesiveness
cohesiveness, at its most basic level, simply refers to the degree of mutual attraction that team members hold for one another and their task. It is the strength of desire all members have to remain a team. It is safe to assume that most members of the project team need a reason or reasons to contribute their skills and time to the successful completion of a project. Although they have been assigned to the project, for many individuals, this project may compete with other duties or responsibilities pulling them in other directions. Project managers work to build a team that is cohesive as a starting point for performing their tasks. Since cohesiveness is predicated on the attraction that the group holds for each individual member, managers need to make use of all resources at their disposal, including reward systems, recognition, performance appraisals, and any other sources of organizational reward, to induce team members to devote time and energy in furthering the team’s goals.
trust
Trust means different things to different people.5 For a project team, trust can best be understood as the team’s comfort level with each individual member. Given that comfort level, trust is mani- fested in the team’s ability and willingness to squarely address differences of opinion, values, and attitudes and deal with them accordingly. Trust is the common denominator without which ideas of group cohesion and appreciation become moot. The interesting point about trust is that it can actu- ally encourage disagreement and conflict among team members. When members of a project team have developed a comfort level where they are willing to trust the opinions of others, no matter how much those opinions diverge from their own, it is possible to air opposing views, to discuss issues, and even to argue. Because we trust one another, the disagreements are never treated as personal attacks; we recognize that views different from our own are valuable and can contribute to the proj- ect. Of course, before positive results can come from disagreement, we have to develop trust.
There are a number of ways in which project team members begin to trust one another. First, it is important for the project manager to create a “What happens here, stays here” mentality in which team members are not worried that their views will be divulged or confidences betrayed. Trust must first be demonstrated by the professionalism of the project manager and the manner in which she treats all team members. Second, trust develops over time. There is no way to jump- start trust among people. We are tested continuously to ensure that we are trustworthy. Third, trust is an “all-or-nothing” issue. Either we are trustworthy or we are not. There is no such thing as being slightly trustworthy. Finally, trust occurs on several levels:6 (1) trust as it relates to profes- sional interaction and the expectation of another person’s competence (“I trust you to be able to accomplish the task”), (2) trust that occurs on an integrity level (“I trust you to honor your commit- ments”), and (3) trust that exists on an emotional level based on intuition (“It feels right to allow you to make this decision”). Hence, it is important to recognize that trust among team members is complex, takes time to develop, is dependent on past history, and can occur on several levels, each of which is important to developing a high-performing team.
enthusiasm
Enthusiasm is the key to creating the energy and spirit that drive effective project efforts. One method for generating team enthusiasm is to promote the idea of efficacy, the belief that if we work toward certain goals, they are attainable. Enthusiasm is the catalyst for directing positive, high energy toward the project while committing to its goals. Project managers, therefore, are best able to promote a sense of enthusiasm within the project team when they create an environment that is:
• Challenging—Each member of the project perceives his role to offer the opportunity for professional or personal growth, new learning, and the ability to stretch professionally.
• Supportive—Project team members gain a sense of team spirit and group identity that creates the feeling of uniqueness with regard to the project. All team members work collaboratively, communicate often, and treat difficulties as opportunities for sharing and joint problem solving.
• Personally rewarding—Project team members become more enthusiastic as they perceive personal benefits arising from successful completion of the project. Linking the opportunity for personal advancement to project team performance gives all team members a sense of ownership of the project and a vested interest in its successful completion.
194 Chapter 6 • Project Team Building, Conflict, and Negotiation
The importance of enthusiasm among project team members is best illustrated by a recently witnessed example. A team leader had been charged with reengineering a manufacturing process at a large production plant in New England. Despite his initial enthusiasm and energy, he was getting increasingly frustrated with his project team, most of them having been assigned to him without any of his input on the assignments. His chief concern became how to deal with the constant litany of “We can’t do that here” that he heard every time he offered a suggestion for changing a procedure or trying anything new. One Monday morning, his team members walked into the office to the vision of the words “YES WE CAN!” painted in letters three feet high across one wall of the office. (Over the weekend, the project manager had come in and done a little redecorating.) From that point on, the motto YES WE CAN! became the theme of the team and had a powerful impact on project success.
results orientation
Results orientation suggests that each member of the project team is committed to achieving the project’s goals. The project manager can influence team performance in many ways, but it is through constantly emphasizing the importance of task performance and project outcomes that all team members are united toward the same orientation. Some have referred to this phenomenon as the “eyes on the prize” attitude, a commonly held characteristic among successful project teams. The benefit of a results orientation is that it serves to continually rally team members toward the important or significant issues, allowing them to avoid squandering time and resources on prob- lems that may be only peripheral to the major project goals.
6.3 reaSonS Why teamS FaIl
Because the challenges involved in creating high-performing project teams are so profound, it is not surprising that project teams fail to perform to their potential in many circumstances. Teams operate at less than optimum performance for a number of reasons, including poorly developed or unclear goals, poorly defined project team roles and interdependencies, lack of project team motivation, poor communication or leadership, turnover among team members, and dysfunctional behavior.7
Poorly developed or unclear goals
One of the most common causes of project team failure is the absence of clear and commonly understood project goals. When the project goals are fragmented, constantly changing, or poorly communicated, the result is a high degree of ambiguity. This ambiguity is highly frustrating for project team members for a number of reasons.
unclear goalS PermIt multIPle InterPretatIonS The most common problem with poorly developed goals is that they allow each team member to make separate and often differing inter- pretations of project objectives. As a result, rather than helping the team to focus on the project at hand, these goals actually serve to increase disagreements as each team member interprets the project’s goals in different ways.
unclear goalS ImPede the WIllIngneSS oF team memBerS to Work together When team members are faced with ambiguous goals, it is common for each person to interpret the goals in the most advantageous way. When goals are used to support individuals rather than team objectives, it often leads to situations in which one person’s desire to satisfy the project goals as he interprets them actually conflicts with another team member’s desire to satisfy her goals.
unclear goalS IncreaSe conFlIct Project team conflict is heightened by vague goals that allow for multiple, self-centered interpretations. Rather than working on completing the project, team members expend energy and time in conflict with one another sifting through project objectives.
Poorly defined Project team roles and Interdependencies
Team interdependencies is a state where team members’ activities coordinate with and comple- ment other team members’ work. To some degree, all team members depend on each other and must work in collaboration in order to accomplish project goals. High-performing teams are well
6.3 Reasons Why Teams Fail 195
structured in ways that leave little ambiguity about individual roles and responsibilities. When team member assignments or responsibilities are not made clear, it is natural for disagreements to occur or for time to be wasted in clarifying assignments. Another serious problem with poorly defined roles is that it allows for significant time to be lost between project activities. When team members are unaware of their roles and interdependencies in relation to other team members, it is common to lose time on the project through poor transitions, as tasks are completed and succes- sors are expected to begin.
lack of Project team motivation
A common problem with poorly performing project teams is a lack of motivation among team members. Motivation is typically a highly individualistic phenomenon, suggesting that the factors that motivate one member of the project (e.g., technical challenge, opportunities for advancement) may not be motivating for another member. When overall project team motiva- tion is low, however, the project’s performance will naturally suffer as team members work at below-optimal performance. Some of the reasons why project team motivation may be low include the following.
the Project IS PerceIved aS unneceSSary When projects are viewed by team members as less than critical, their motivation to perform well will naturally be affected. Whether the project team members’ perception of a project as “unnecessary” is correct or not, if the organization and the project manager allow this interpretation to become fixed, it is extremely difficult to achieve high motivation from the team. Consequently, project managers need to communicate to the project team, as honestly as possible, the benefits of the project, its goals, and why they are important for the organization.
the Project may have loW PrIorIty Team members within organizations are often aware of which project initiatives are considered high priority and which are not. Internal company com- munications, including newsletters, e-mails, and other methods for highlighting activities, clearly identify the projects that top management views as critical. When project team members perceive that they are working on a project of low priority, they adopt a low level of commitment to the project and have low motivation to perform well.
Poor communication
Poor communication comes about for a variety of reasons. For example, project team members may be uncertain about the structure of the project and the interdependencies among team members so they do not know with whom they are expected to share information. Another reason communi- cation within the project team can break down is that some team members are unwilling to share information, viewing it as a source of power over other members of the team. Communication also may be impeded within the project team due to the different functional or professional orientations of project team members. Technical personnel, such as engineers, are comfortable employing scientific or technical jargon that is hard for nontechnical personnel to understand. Likewise, professionals with financial backgrounds may use business-related terminology that is not clear to technical team members.
The key to resolving many communication problems lies in the project manager ’s willing- ness to establish and enforce standards for information sharing among team members, creating an atmosphere within the project team that encourages frank and open exchanges. Other mecha- nisms for encouraging cross-functional cooperation are examined in greater detail later in this chapter.
Poor leadership
Chapter 4 discussed the importance of the project manager ’s approach to leadership in great detail. Because this individual is often the linchpin holding the team together, the leadership style chosen by the project manager is a key promoter or inhibitor of project team effectiveness. Project managers who adopt a “one-style-fits-all” approach to leadership fail to recognize that different leadership styles are required in order to get the best performance out of each team
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member. Further, some project managers adopt a leadership approach that may be completely antithetical to the project team, browbeating, bullying, or threatening team members in the belief that the key to high project team performance is to create an atmosphere of fear and anxiety. Successful project leaders understand that leadership styles depend upon a number of relevant criteria within the project team—including makeup of the team, motivation levels, and experience and skill levels of team members—and modify their leadership style accordingly.
turnover among Project team members
A common problem in many organizations is that team members are assigned to a project and then unexpectedly pulled off the project for reassignment. The higher the turnover among proj- ect team members, the more it disrupts the project manager ’s ability to create project team cohesion. Further, the act of continually adding to and removing personnel from project teams causes problems with team learning and functioning. Research has found that because of learn- ing curve effects, the act of adding team members to an ongoing project often has the effect of delaying the project. New team members need time to get caught up with the project, they are not clear on structure or team interrelationships, and they do not understand internal team dynamics.
Although the best-case scenario for project managers is to run projects in which team mem- bers do not turn over, the practical reality is that we must anticipate the potential for turnover and consider strategies that allow for minimal disruption to the project schedule when turnover does occur. One method of minimizing disruption is for the project manager to require that everyone on the team understands, as clearly as possible, not only her own role but also the roles of other team members to allow the members to support activities that could be delayed due to staff “pullaways.” Another option is for the project manager to work closely with functional department heads in order to anticipate the possibility of project team members leaving the team prematurely and to begin prepping possible replacements.
dysfunctional Behavior
Dysfunctional behavior refers to the disruptive acts of some project team members due to per- sonality issues, hidden agendas, or interpersonal problems. Sometimes the solution simply calls for recognizing which members are engaging in these behaviors and taking steps to correct the problem. Other times, serious cases of dysfunctional behavior may require that a team member be removed from the project team.
6.4 StageS In grouP develoPment
The process of group development is a dynamic one.8 Groups go through several maturation stages that are often readily identifiable, are generally found across a variety of organizations, and involve groups formed for a variety of different purposes. These stages are illustrated in Table 6.1 and Figure 6.3.9
taBle 6.1 Stages of Group Development
Stage Defining characteristics
Forming Members get to know one another and lay the basis for project and team ground rules.
Storming Conflict begins as team members begin to resist authority and demonstrate hidden agendas and prejudices.
Norming Members agree on operating procedures and seek to work together, develop closer relationships, and commit to the project development process.
Performing Group members work together to accomplish their tasks.
Adjourning Groups may disband either following the completion of the project or through significant reassignment of team personnel.
6.4 Stages in Group Development 197
Stage one: Forming
forming consists of the process or approaches used to mold a collection of individuals into a coherent project team. This stage has sometimes been referred to as the “floundering” stage, because team members are unsure about the project’s goals, may not know other team mem- bers, and are confused about their own assignments.10 Team members begin to get acquainted with one another and talk about the purposes of the project, how they perceive their roles, what types of communication patterns will be used, and what will be acceptable behaviors within the group. During the forming stage, some preliminary standards of behavior are established, including rules for interaction (who is really in charge and how members are expected to inter- act) and activity (how productive members are expected to be). The earlier this stage is com- pleted, the better, so that ambiguities further along are avoided. In these early meetings, the role of the team leader is to create structure and set the tone for future cooperation and positive member attitudes.
Stage two: Storming
storming refers to the natural reactions members have to the initial ground rules. Members begin to test the limits and constraints placed on their behavior. Storming is a conflict-laden stage in which the preliminary leadership patterns, reporting relationships, and norms of work and interpersonal behavior are challenged and, perhaps, reestablished. During this stage, it is likely that the team leader will begin to see a number of the group members demonstrating per- sonal agendas, attempting to defy or rewrite team rules, and exhibiting prejudices toward team- mates from other functional backgrounds. For example, a team member may unilaterally decide that it is not necessary for her to attend all team meetings, proposing instead to get involved later in the project when she is “really needed.” Other behaviors may involve not-so-subtle digs at members from other departments (“Gee, what are you marketing people doing here on a tech- nical project?”) or old animosities between individuals that resurface. Storming is a very natural phase through which all groups go. The second half of this chapter addresses ways to handle all types of conflict.
1. Forming
2. Storming3. Norming
4. Performing
Testing
InfightingOrganized
Productive
ConveneAdjourn
Inclusion
C on
tr ol
C ooperation
Pr od
uc tiv
ity
• Quiet • Polite • Guarded • Impersonal • Businesslike • High morale
• Conflict over control • Confrontational • Alienation • Personal agendas • Low morale
• Establish procedures • Develop team skills • Confront issues • Rebuild morale
• Trust • Flexible • Supportive • Confident • Efficient • High morale
FIgure 6.3 Stages of team Development
Source: V. K. Verma. (1997). Managing the Project Team, p. 71. Upper Darby, PA: Project Management Institute. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
198 Chapter 6 • Project Team Building, Conflict, and Negotiation
Stage three: norming
A norm is an unwritten rule of behavior. norming behavior in a group implies that the team members are establishing mutually agreed-upon practices and attitudes. Norms help the team determine how it should make decisions, how often it should meet, what level of openness and trust members will have, and how conflicts will be resolved. Research has shown that it is during the norming stage that the cohesiveness of the group grows to its highest level. Close relationships develop, a sense of mutual concern and appreciation emerges, and feelings of camaraderie and shared responsibility become evident. The norming stage establishes the healthy basis upon which the actual work of the team will commence.
Stage Four: Performing
The actual work of the project team is done during the performing stage. It is only when the first three phases have been properly dealt with that the team will have reached the level of maturity and confidence needed to effectively perform their duties. During the performing stage, team rela- tionships are characterized by high levels of trust, a mutual appreciation for one another’s perfor- mance and contributions, and a willingness to actively seek to collaborate. Morale has continued to improve over the project team’s development cycle to this point, at which all team members are working confidently and efficiently. As long as strong task-oriented group norms were estab- lished early in the team development and conflict was resolved, the performing stage is one of high morale and strong performance.
Stage Five: adjourning
Adjourning recognizes the fact that projects and their teams do not last forever. At some point, the project has been completed and the team is disbanded to return to their other functional duties within the organization. In some cases, the group may downsize slowly and deliberately. For example, in the case of developing a systems engineering project, as various components of the system come online, the services of the team’s design engineer may no longer be needed and he will be reassigned. In other circumstances, the team will complete its tasks and be disbanded all at once. In either case, it is important to remember that during the final stages of the implementation process, group members are likely to exhibit some concern about their future assignments and/or new duties. Project managers need to be sensitive to the real concerns felt by these team members and, where possible, help smooth the transition from the old team to the new assignments.
Punctuated equilibrium
In the late 1980s, UCLA researcher Connie Gersick challenged the validity of the standard model of project team development.11 Through a series of studies, she observed a dramatically different process by which project teams evolve. She referred to her model as punctuated equilibrium, based on a similar scientific model proposed by Stephen J. Gould to explain macroevolutionary change in the natural world. Punctuated equilibrium proposes that rather than evolution occurring as a steady state of gradual change, real natural change comes about through long periods of stasis, interrupted by some cataclysmic event that propels upward, evolutionary adjustment.
This phenomenon of punctuated equilibrium frequently occurs in the field of group dynamics. Gersick’s work suggests that the timing of group process changes is quite consistent across teams and situations. Most teams, she discovered, develop a set of operating norms very quickly, at the time of the first team meeting and on the basis of limited interaction and knowledge of one another or the project mission. These norms, which are often less than optimal, tend to guide group behavior and performance for a substantial period of the project’s life. The group will continue to operate as a result of these norms until some trigger event occurs, almost precisely at the halfway point between the initial meeting and the project deadline (see Figure 6.4). The trigger event may be general dissatisfaction with the project’s progress to date, a boiling over of interpersonal antag- onisms, or some other external force. Nevertheless, once this eruption has occurred, it serves as the motivation to revise group norms, develop better intragroup procedures, and promote better task performance. It is typically during this second phase of the group’s life that the majority of effective work gets done and the group begins to function more as a team and less as a collection of individuals.
6.5 Achieving Cross-Functional Cooperation 199
Punctuated equilibrium has some very important implications for project team leaders. First, it suggests that initial impressions are often lasting, as early behaviors and norms quickly solidify and become the controlling force behind the team’s behavior. Project team leaders, therefore, need to take a hard look at how they run kickoff meetings and the messages they send (intentional or otherwise) regarding appropriate task and interpersonal behavior. Second, the model suggests that groups collectively experience a form of “midlife crisis” in running their project, because a lack of concrete results, coupled with escalating interpersonal tensions, tends to build to a state of dissatisfaction that finally overflows midway through the development process. Leaders need to plan for these behaviors, recognize the warning signs of their approach, and proactively chart the steps needed for more positive outcomes from the transition. Finally, Gersick’s research found that group members tended to feel increased frustration because they lacked a real sense of where the project stood at any point in time. Hence, project managers who wish to avoid the more damaging effects of midlife project transitions need to recognize that the more they plan for interim mile- stones and other indications of progress, the more they can mitigate the adverse effects of project team blowups.
6.5 achIevIng croSS-FunctIonal cooPeratIon
What are some tactics that managers can use for effective team development? One research project on project teams uncovered a set of critical factors that contribute to cross-functional cooperation.12 Figure 6.5 shows a two-stage model: The first set of factors influences cooperation, and the second set influences outcomes. Critical factors that influence cooperation and behavior are superordinate goals, rules and procedures, physical proximity, and accessibility. Through cross-functional coopera- tion, these influence both high task outcomes (making sure the project is done right) and psycho- social outcomes (the emotional and psychological effects that strong performance will have on the project team).
Superordinate goals
A superordinate goal refers to an overall goal or purpose that is important to all functional groups involved, but whose attainment requires the resources and efforts of more than one group.13 When Apple developed its iPad tablet, that venture included a number of subprojects, including the creation of a user-friendly operating system, graphical-user interface, a number of unique fea- tures and applications for running multiple programs, 4G and wireless capabilities, and so forth.
Project Time Line
Start Midpoint Deadline
Team Performance
High
Low
Completion
First Meeting
Eruption
FIgure 6.4 Model of Punctuated equilibrium
200 Chapter 6 • Project Team Building, Conflict, and Negotiation
Each of these subprojects was supported by dozens of electronics engineers, IT professionals, pro- grammers and coding specialists, graphics designers, marketing research personnel, and opera- tions specialists, all working together collaboratively. The iPad could not have been successful if only some of the projects succeeded—they all had to be successful, requiring that their developers maintain strong, collaborative working relationships with one another.
The superordinate goal is an addition to, not a replacement for, other goals the functional groups may have set. The premise is that when project team members from different functional areas share an overall goal or common purpose, they tend to cooperate toward this end. To illus- trate, let us consider an example of creating a new software project for the commercial marketplace. A superordinate goal for this project team may be “to develop a high-quality, user-friendly, and generally useful system that will enhance the operations of various departments and functions.” This overall goal attempts to enhance or pull together some of the diverse function-specific goals for cost-effectiveness, schedule adherence, quality, and innovation. It provides a central objective or an overriding goal toward which the entire project team can strive.
rules and Procedures
Rules and procedures are central to any discussion of cross-functional cooperation because they offer a means for coordinating or integrating activities that involve several functional units.14 Organizational rules and procedures are defined as formalized processes established by the orga- nization that mandate or control the activities of the project team in terms of team membership, task assignment, and performance evaluation. For years, organizations have relied on rules and procedures to link together the activities of organizational members. Rules and procedures have been used to assign duties, evaluate performance, solve conflicts, and so on. Rules and procedures can be used to address formalized rules and procedures established by the organization for the performance of the implementation process, as well as project-specific rules and procedures devel- oped by the project team to facilitate its operations.
The value of rules and procedures suggests that in the absence of cooperation among team members, the company can simply mandate that it occur. In cases where project teams cannot rely on established, organizationwide rules and procedures to assist members with their tasks, they often must create their own rules and procedures to facilitate the progress of the project. For example, one such rule could be that all project team members will make themselves available to one another regarding project business.
Cross–Functional Cooperation
Superordinate Goals
Rules and Procedures
Physical Proximity
Accessibility
Feedback Loop
Task Outcomes
Psychosocial Outcomes
FIgure 6.5 Project team cross-functional cooperation
Source: M. B. Pinto, J. K. Pinto, and J. E. Prescott. (1993). “Antecedents and consequences of project team cross-functional cooperation.” Management Science, 39: 1281–97, p. 1283. Copyright 1993, the Institute for Operations Research and the Management Sciences, 7240 Parkway Drive, Suite 300, Hanover, MD 21076 USA. Reprinted by permission, Project Team Cross-Functional Cooperation.
6.5 Achieving Cross-Functional Cooperation 201
Physical Proximity
Physical proximity refers to project team members’ perceptions that they are located within physi- cal or spatial distances that make it convenient for them to interact. Individuals are more likely to interact and communicate with others when the physical characteristics of buildings or set- tings encourage them to do so.15 For example, the sheer size and spatial layout of a building can affect working relationships. In a small building or when a work group is clustered on the same floor, relationships tend to be more intimate, since people are in close physical proximity to one another. As people spread out along corridors or in different buildings, interactions may become less frequent and/or less spontaneous. In these situations, it is harder for employees to interact with members of either their own department or other departments.
Many companies seriously consider the potential effects of physical proximity on project team cooperation. In fact, some project organizations relocate personnel who are working together on a project to the same office or floor. The term “war room” is sometimes used to illustrate this deliberate regrouping of project team members into a central location. When project team mem- bers work near one another, they are more likely to communicate and, ultimately, cooperate.
accessibility
While physical proximity is important for encouraging cross-functional cooperation, another factor, accessibility, appears to be an equally important predictor of the phenomenon. Accessibility is the perception by others that a person is approachable for communicating and interacting with on problems or concerns related to the success of a project. Separate from the issue of physical proximity, accessibility refers to additional factors that can inhibit the amount of interaction that occurs between organizational members (e.g., an individual’s schedule, position in an organization, or out-of-office commitments). These factors often affect the acces- sibility among organizational members. For example, consider a public-sector organization in which a member of the engineering department is physically located near a member of the city census department. Although these individuals are in proximity to each other, they may rarely interact because of different work schedules, varied duties and priorities, and commit- ment to their own agendas. Such factors often create a perception of inaccessibility among the individuals involved.
outcomes of cooperation: task and Psychosocial results
As Figure 6.5 suggests, the goal of promoting cross-functional cooperation among members of a project team is not an end unto itself; it reflects a means toward better project team performance and ultimately better project outcomes. Two types of project outcomes are important to consider: task outcomes and psychosocial outcomes. task outcomes refer to the factors involved in the actual implementation of the project (time, schedule, and project functionality). Psychosocial outcomes, on the other hand, represent the team member’s assessment that the project experience was worth- while, satisfying, and productive. It is possible, for example, to have a project “succeed” in terms of completing its task outcomes while all team members are so disheartened due to conflict and bad experiences that they have nothing but bad memories of the project. Psychosocial outcomes are important because they represent the attitudes that project team members will carry with them to subsequent projects (as shown in the feedback loop in Figure 6.5). Was the project experience satisfying and rewarding? If so, we are much more likely to start new projects with a positive atti- tude than in circumstances where we had bad experiences on previous projects. Regardless of how carefully we plan and execute our project team selection and development process, our efforts may take time to bear fruit.
Finally, what are some general conclusions we can draw about methods for building high- performing teams? Based on research, project managers can take three practical steps to set the stage for teamwork to emerge:16
1. Make the project team as tangible as possible. Effective teams routinely develop their own unique identity. Through publicity, promoting interaction, encouraging unique terminology and language, and emphasizing the importance of project outcomes, project managers can create a tangible sense of team identity.
202 Chapter 6 • Project Team Building, Conflict, and Negotiation
2. Reward good behavior. There are many nonmonetary methods for rewarding good per- formance. The keys are (1) flexibility—recognizing that everyone views rewards differently, (2) creativity—providing alternative means to get the message across, and (3) pragmatism— recognizing what can be rewarded and being authentic with the team about how superior performance will be recognized.
3. Develop a personal touch. Project managers need to build one-on-one relationships with project team members. If they lead by example, provide positive feedback to team members, publicly acknowledge good performance, show interest in the team’s work, and are acces- sible and consistent in applying work rules, project team members will come to value both the manager’s efforts and his work on the project.
These suggestions are a good starting point for applying the concept of team building in the difficult setting of project management. Given the temporary nature of projects, the dynamic move- ment of team members on and off the team, and the fact that in many organizations team members are working on several projects simultaneously, building a cohesive project team that can work in harmony and effectively to achieve project goals is extremely valuable.17 Using these guidelines for team building should allow project managers to more rapidly achieve a high-performing team.
6.6 vIrtual Project teamS
The globalization of business has had some important effects on how projects are being run today. Imagine a multimillion-dollar project to design, construct, and install an oil-drilling platform in the North Atlantic. The project calls on the expertise of partner organizations from Russia, Finland, the United States, France, Norway, and Great Britain. Each of the partners must be fully represented on the project team, all decisions should be as consensual as possible, and the project’s success will require continuous, ongoing communication between all members of the project team. Does this sound difficult? In fact, such projects are undertaken frequently. Until recently, the biggest chal- lenge was finding a way for managers to meet and stay in close contact. Constant travel was the only option. However, now more organizations are forming virtual project teams.
virtual teams, sometimes referred to as geographically dispersed teams, involve the use of elec- tronic media, including e-mail, the Internet, and teleconferencing, to link together members of a project team that are not collocated to the same physical place. Virtual teams start with the assump- tion that physical barriers or spatial separation make it impractical for team members to meet in a regular, face-to-face manner. Hence, the virtual team involves establishing alternative communi- cations media that enable all team members to stay in contact, make contributions to the ongoing project, and communicate all necessary project-related information with all other members of the project team. Virtual teams are using technology to solve the thorny problem of productively link- ing geographically dispersed project partners.
Virtual teams present two main challenges: building trust and establishing the best modes of communication.18 Trust, as we have discussed, is a key ingredient needed to turn a disparate group of individuals into an integrated project team. Physical separation and disconnection can make trust slower to emerge. Communications media may create formal and impersonal settings, and the level of comfort that permits casual banter takes time to develop. This can slow down the process of creat- ing trust among team members.
What are some suggestions for improving the efficiency and effectiveness of virtual team meetings? Following are some options available to project teams as they set out to use virtual technology.19
• When possible, find ways to augment virtual communication with face-to-face opportuni- ties. Try not to rely exclusively on virtual technology. Even if it occurs only at the begin- ning of a project and after key milestones, create opportunities to get the team together to exchange information, socialize, and begin developing personal relationships.
• Don’t let team members disappear. One of the problems with virtual teams is that it becomes easy for members to “sign off” for extended periods of time, particularly if regular com- munication schedules are not established. The best solution to this problem is to ensure that communications include both regular meetings and ad hoc get-togethers, either through videoconferencing or through e-mail and Internet connections.
6.6 Virtual Project Teams 203
• Establish a code of conduct among team members. While it can be relatively easy to get agree- ment on the types of information that need to be shared among team members, it is equally important to establish rules for when contact should be made and the length of acceptable and unacceptable delays in responding to messages.
• Keep all team members in the communication loop. Virtual teams require a hyperawareness by the project manager of the need to keep communication channels open. When team mem- bers understand how they fit into the big picture, they are more willing to stay in touch.
• Create a clear process for addressing conflict, disagreement, and group norms. When projects are conducted in a virtual setting, the actual ability of the project manager to gauge team members’ reactions and feelings about the project and one another may be minimal. It is help- ful to create a set of guidelines for allowing the free expression of misgivings or disagreements among team members. For example, one virtual team composed of members of several large organizations established a Friday-afternoon complaint session, which allowed a two-hour block each week for team members to vent their feelings or disagreements. The only rule of the session was that everything said must remain within the project—no one could carry these messages outside the project team. Within two months of instituting the sessions, project team members felt that the sessions were the most productive part of project communication and looked forward to them more than to formal project meetings.
Beyond the challenges of creating trust and establishing communication methods for dispersed teams, there are other considerations that should be addressed.20 For example, selecting the appropri- ate technology tools is an important process. There is no “one best” means for communicating with all team members on all occasions. Communications options include synchronous (occurring in real time) and asynchronous (occurring outside of real time). An example of synchronous communication would be a direct conversation with another party. Asynchronous communication may include e-mail or posting to someone’s Facebook wall. The underlying intent behind the communication may be either social or informational. We can use these communication tools to establish relationships with team members in the same way they are useful for passing along important project information.
Other suggestions for effectively using technology to manage a dispersed team include:21
• No one technology works for everything; use the technology that fits the task at hand. • Vary how your team meets; always using teleconferences becomes routine and boring. • Make sure to intermix meeting types and purposes to keep the team experience fresh.
Overemphasizing just one type of meeting (social or informational) can lead to assumptions about the only types of meetings worth having.
• Communication technologies can be combined in various ways; for example, virtual whiteboards work well with videoconferencing.
• Asynchronous technologies tend to become the dominant forms as time-zone differences grow. Find methods for adding a synchronous element whenever possible.
• Training in the proper use of technology is critical to its effectiveness. Whoever facilitates the meetings must be an expert on the technologies employed.
Project Profile
tele-immersion technology eases the Use of Virtual teams
For many users of videoconferencing technology, the benefits and drawbacks may sometimes seem about equal. Although there is no doubt that teleconferencing puts people into immediate contact with each other from great geographical distances, the current limitations on how far the technology can be applied lead to some important quali- fications. As one writer noted:
I am a frequent but reluctant user of videoconferencing. Human interaction has both verbal and nonverbal elements, and videoconferencing seems precisely configured to confound the nonverbal ones. It is impossible to make eye contact properly, for instance, in today’s videoconferencing systems, because the camera and the display screen cannot be in the same spot. This usually leads to a deadened and formal affect in interactions, eye contact being a nearly ubiquitous subconscious method of affirming trust. Furthermore, participants aren’t able to establish a sense of position relative to one another and therefore have no clear way to direct attention, approval or disapproval.22
(continued)
204 Chapter 6 • Project Team Building, Conflict, and Negotiation
It was to address these problems with teleconferencing that tele-immersion technology was created. Tele- immersion, a new medium for human interaction enabled by digital technologies, creates the illusion that a user is in the same physical space as other people, even though the other participants might in fact be thousands of miles away. It combines the display and interaction techniques of virtual reality with new vision technologies that transcend the traditional limitations of a camera. The result is that all the participants, however distant, can share and explore a life- sized space.
This fascinating new technology, which has emerged very recently, offers the potential to completely change the nature of how virtual project teams communicate with each other. Pioneered by Advanced Network & Services as part of the National Tele-Immersion Initiative (NTII), tele-immersion enables users at geographically distributed sites to col- laborate in real time in a shared, simulated environment as if they were in the same physical room. Tele-immersion is the long-distance transmission of life-sized, three-dimensional synthesized scenes, accurately sampled and rendered in real time using advanced computer graphics and vision techniques. The use of this sophisticated representation of three-dimensional modeling has allowed teleconferencing to take on a whole new look; all members of the project literally appear in a real-time, natural setting, almost as if they were sitting across a conference table from one another.
With enhanced bandwidth and the appropriate technology, tele-immersion video conferencing offers an enor- mous leap forward compared to the current two-dimensional industry standards in use. In its current form, the tele-immersion technology requires the videoconference member to wear polarizing glasses and a silvery head-tracking device that can move around and see a computer-generated 3D stereoscopic image of the other teleconferencers, whereby the visual content of a block of space surrounding each participant’s upper body and some adjoining workspace is essentially reproduced with computer graphics. This results in a more fully dimensional and compressible depiction of such real- world environments than is possible with existing video technology. Just how far this technology is likely to go in the years ahead is impossible to predict, but no one is betting against it becoming the basis for an entirely new manner of conducting virtual team meetings.23
As Figure 6.6 demonstrates, recent advances in technology have allowed tele-immersion conferencing to some- times dispense with extra equipment link goggles or tracking devices. The ability to translate and communicate sophis- ticated images of people, blueprints, or fully rendered three-dimensional models makes this technology unique and highly appealing as an alternative to standard telephone conferencing.
Virtual teams, though not without their limitations and challenges, offer an excellent method for applying the technical advances in the field of telecommunications to the problems encountered with global, dispersed project teams. The key to using them effectively lies in a clear recognition of what virtual technologies can and cannot do. For example, while the Internet can link team members, it cannot convey nonverbals or feelings that team members may have about the project or other members of the project. Likewise, although current videoconferencing allows for real-time, face-to-face interactions, it is not a perfect substitute for genuine “face time” among project team members. Nevertheless, the development of virtual technologies has been a huge benefit for project organizations, coming as it has at the same time that teams have become more global in their makeup and that partnering project organizations are becoming the norm for many project challenges.
6.7 conFlIct management
One study has estimated that the average manager spends over 20% of his time dealing with conflict.24 Because so much of a project manager ’s time is taken up with active conflict and its residual aftermath, we need to understand this natural process within the project management
FIgure 6.6 tele-immersion technology
HO Marketwire Photos/Newscom
6.7 Conflict Management 205
context. This section of the chapter is intended to more formally explore the process of con- flict, examine the nature of conflict for project teams and managers, develop a model of conflict behavior, and foster an understanding of some of the most common methods for de-escalating conflict.
What Is conflict?
conflict is a process that begins when you perceive that someone has frustrated or is about to frustrate a major concern of yours.25 There are two important elements in this definition. First, it suggests that conflict is not a state, but a process. As such, it contains a dynamic aspect that is very important. Conflicts evolve.26 Further, the one-time causes of a conflict may change over time; that is, the reasons why two individuals or groups developed a conflict initially may no longer have any validity. However, because the conflict process is dynamic and evolving, once a conflict has occurred, the reasons behind it may no longer matter. The process of conflict has important ramifi- cations that we will explore in greater detail.
The second important element in the definition is that conflict is perceptual in nature. In other words, it does not ultimately matter whether or not one party has truly wronged another party. The important thing is that one party perceives that state or event to have occurred. That perception is enough because for that party, perception of frustration defines reality.
In general, most types of conflict fit within one of three categories,27 although it is also com- mon for some conflicts to involve aspects of more than one category.
goal-oriented conflict is associated with disagreements regarding results, project scope out- comes, performance specifications and criteria, and project priorities and objectives. Goal-oriented conflicts often result from multiple perceptions of the project and are fueled by vague or incom- plete goals that allow project team members to make their own interpretations.
Administrative conflict arises through management hierarchy, organizational structure, or company philosophy. These conflicts are often centered on disagreements about reporting relationships, who has authority and administrative control for functions, project tasks, and decisions. A good example of administrative conflict arises in matrix organization structures, in which each project team member is responsible to two bosses, the project manager and the functional supervisor. In effect, this structure promotes the continuance of administrative conflict.
interpersonal conflict occurs with personality differences between project team members and important project stakeholders. Interpersonal conflict sources include different work ethics, behavioral styles, egos, and personalities of project team members.
At least three schools of thought exist about how conflicts should be perceived and addressed. These vary dramatically, depending upon the prevailing view that a person or an organization holds.28
The first view of conflict is the traditional view, which sees conflict as having a negative effect on organizations. Traditionalists, because they assume that conflict is bad, believe that conflict should be avoided and resolved as quickly and painlessly as possible when it does occur. The emphasis with traditionalists is conflict suppression and elimination.
The second view of conflict is the behavioral or contemporary school of thought. Behavioral theorists view conflict as a natural and inevitable part of organizational life. Differentiation across functional departments and different goals, attitudes, and beliefs are natural and perma- nent states among members of a company, so it is natural that conflict will result. The solution to conflict for behavioral theorists is to manage conflict effectively rather than attempt to eliminate or suppress it.
The third view of conflict, the interactionist view, takes behavioral attitudes toward conflict one step further. Where a behavioral view of conflict accepts it when it occurs, interactionists encourage conflict to develop. Conflict, to an interactionist, prevents an organization from becom- ing too stagnant and apathetic. Conflict actually introduces an element of tension that produces innovation, creativity, and higher productivity. The interactionists do not intend that conflict should continue without some controls, however; they argue that there is an optimal level of con- flict that improves the organization. Beyond that point, conflict becomes too intense and severe and begins hurting the company. The trick, to an interactionist, is to find the optimal level of con- flict—too little leads to inertia and too much leads to chaos.
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Sources of conflict
Potential sources of conflict in projects are numerous. Some of the most common sources include the competition for scarce resources, violations of group or organizational norms, disagreements over goals or the means to achieve those goals, personal slights and threats to job security, long- held biases and prejudices, and so forth. Many of the sources of conflict arise out of the project management situation itself. That is, the very characteristics of projects that make them unique contribute some important triggers for conflict to erupt among project stakeholders.
organIzatIonal cauSeS oF conFlIct Some of the most common causes of organizational conflict are reward systems, scarce resources, uncertainty, and differentiation. Reward systems are competitive processes some organizations have set up that pit one group or functional depart- ment against another. For example, when functional managers are evaluated on the performance of their subordinates within the department, they are loath to allow their best workers to become involved in project work for any length of time. The organization has unintentionally created a state in which managers perceive that either the project teams or the departments will be rewarded for superior performance. In such cases, they will naturally retain their best people for functional duties and offer their less-desirable subordinates for project teamwork. The project managers, on the other hand, will also perceive a competition between their projects and the functional depart- ments and develop a strong sense of animosity toward functional managers whom they perceive, with some justification, are putting their own interests above the organization.
Scarce resources are a natural cause of conflict as individuals and departments compete for the resources they believe are necessary to do their jobs well. Because organizations are character- ized by scarce resources sought by many different groups, the struggle to gain these resources is a prime source of organizational conflict. As long as scarce resources are the natural state within organizations, groups will be in conflict as they seek to bargain and negotiate to gain an advantage in their distribution.
Uncertainty over lines of authority essentially asks the tongue-in-cheek question, “Who’s in charge around here?” In the project environment, it is easy to see how this problem can be badly exacerbated due to the ambiguity that often exists with regard to formal channels of authority. Project managers and their teams sit “outside” the formal organizational hierarchy in many orga- nizations, particularly in functional structures. As a result, they find themselves in a uniquely frag- ile position of having a great deal of autonomy but also responsibility to the functional department heads who provide the personnel for the team. For example, when a project team member from R&D is given orders by her functional manager that directly contradict directives from the project manager, she is placed in the dilemma of having to find (if possible) a middle ground between two nominal authority figures. In many cases, project managers do not have the authority to con- duct performance evaluations of their team members—that control is kept within the functional department. In such situations, the team member from R&D, facing role conflict brought on by this uncertainty over lines of authority, will most likely do the expedient thing and obey her functional manager because of his “power of the performance appraisal.”
Differentiation reflects the fact that different functional departments develop their own mind- sets, attitudes, time frames, and value systems, which can conflict with those of other departments. Briefly, differentiation suggests that as individuals join an organization within some functional specialty, they begin to adopt the attitudes and outlook of that functional group. For example, a member of the finance department, when asked her opinion of marketing, might reply, “All they ever do is travel around and spend money. They’re a bunch of cowboys who would give away the store if they had to.” A marketing member’s opinion of finance department personnel might be similarly unflattering: “Finance people are just a group of bean counters who don’t understand that the company is only as successful as it can be at selling its products. They’re so hung up on their margins that they don’t know what goes on in the real world.” The interesting point about these views is that, within their narrow frames of reference, they both are essentially correct: Marketing is interested primarily in making sales, and finance is devoted to maintaining high margins. However, these opinions are by no means completely true; they simply reflect the underlying attitudes and prejudices of members of the respective functional departments. The more profound the differentia- tion within an organization, the greater the likelihood that individuals and groups will divide into “us” versus “them” encampments, which will continue to promote and provoke conflict.
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InterPerSonal cauSeS oF conFlIct Faulty attributions refer to our misconceptions of the rea- sons behind another’s behavior. When people perceive that their interests have been thwarted by another individual or group, they typically try to determine why the other party has acted as it did. In making attributions about another’s actions, we wish to determine if their motives are based on personal malevolence, hidden agendas, and so forth. Often groups and individuals will attribute motives to another’s actions that are personally most convenient. For example, when one member of a project team has his wishes frustrated, it is common to perceive the motives behind the other party’s actions in terms of the most convenient causes. Rather than acknowledge the fact that reasonable people may differ in their opinions, it may be more convenient for the frustrated person to assume that the other is provoking a conflict for personal reasons: “He just doesn’t like me.” This attribution is convenient for an obvious and psychologically “safe” reason; if we assume that the other person disagrees with us for valid reasons, it implies a flaw in our position. Many individuals do not have the ego strength to acknowledge and accept objective disagreement, pre- ferring to couch their frustration in personal terms.
Faulty communication is a second and very common interpersonal cause of conflict. Faulty commu- nication implies the potential for two mistakes: communicating in ways that are ambiguous and lead to different interpretations, thus causing a resulting conflict, and unintentionally communicating in ways that annoy or anger other parties. Lack of clarity can send out mixed signals: the message the sender intended to communicate and that which was received and interpreted by the receiver. Consequently, the project manager may be surprised and annoyed by the work done by a subordinate who genuinely thought she was adhering to the project manager’s desires. Likewise, project managers often engage in criticism in the hopes of correcting and improving project team member performance. Unfortunately, what the project manager may consider to be harmless, constructive criticism may come across as a destructive, unfair critique if the information is not communicated accurately and effectively.
Personal grudges and prejudices are another main cause of interpersonal conflict. Each of us brings attitudes into any work situation. These attitudes arise as the result of long-term experi- ences or lessons taught at some point in the past. Often these attitudes are unconsciously held; we may be unaware that we nurture them and can feel a genuine sense of affront when we are chal- lenged or accused of holding biases. Nevertheless, these grudges or prejudices, whether they are held against another race, sex, or functional department, have a seriously debilitating effect on our ability to work with others in a purposeful team and can ruin any chance at project team cohesion and subsequent project performance.
Table 6.2 illustrates some of the findings from two studies that investigated the major sources of conflict in project teams.29 Although the studies were conducted more than a decade apart, the findings are remarkably consistent across several dimensions. Conflicts over schedules and project priorities tend to be the most common and intense sources of disagreement. Interestingly, Posner’s research found that cost and budget issues played a much larger role in triggering conflict than did the earlier work of Thamhain and Wilemon. The significant changes in the rank ordering of sources of conflict and their intensity may be due to shifts in priorities or practices of project man- agement over time, making issues of cost of greater concern and conflict.30 Nevertheless, Table 6.2 gives some clear indications about the chief causes of conflict within project teams and the inten- sity level (1 being the highest and 7 being the lowest) of these conflicts.
taBle 6.2 Sources of conflict in Projects and their ranking by intensity level
conflict intensity ranking
Sources of conflict thamhain & Wilemon Posner
Conflict over project priorities 2 3
Conflict over administrative procedures 5 7
Conflict over technical opinions and performance trade-offs
4 5
Conflict over human resources 3 4
Conflict over cost and budget 7 2
Conflict over schedules 1 1
Personality conflicts 6 6
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methods for resolving conflict
A number of methods for resolving group conflict are at the project manager ’s disposal. Before making a decision about which approach to follow, the project manager needs to consider several issues.31 For example, will the project manager ’s siding with one party to the dispute alienate the other person? Is the conflict professional or personal in nature? Does any sort of intervention have to occur or can team members resolve the issue on their own? Does the proj- ect manager have the time and inclination to mediate the dispute? All of these questions play an important role in determining how to approach a conflict situation. Project managers must learn to develop flexibility in dealing with conflict, knowing when to intervene versus when to remain neutral. We can choose to manage conflict in terms of five alternatives.32
medIate the conFlIct In this approach, the project manager takes a direct interest in the conflict between the parties and seeks to find a solution. The project manager may employ either defu- sion or confrontation tactics in negotiating a solution. Defusion implies that the project manager is less concerned with the source of the conflict than with a mutually acceptable solution. She may use phrases such as “We are all on the same team here” to demonstrate her desire to defuse the conflict without plumbing its underlying source. Confrontation, which typically involves working with both parties to get at the root causes of the conflict, is more emotional, time-intensive, and, in the short term, may actually exacerbate the conflict as both sides air their differences. In the long run, however, confrontation can be more effective as a mediating mechanism because it seeks to determine underlying causes of the conflict so they can be corrected. Project managers mediate solutions when they are not comfortable imposing a judgment but would rather work with both parties to come to some common agreement.
arBItrate the conFlIct In choosing to arbitrate a conflict, the project manager must be willing to impose a judgment on the warring parties. After listening to both positions, the project manager renders his decision. Much as a judge would do, it is best to minimize personalities in the decision and focus instead on the judgment itself. For example, saying, “You were wrong here, Phil, and Susan was right,” is bound to lead to a negative emotional response from Phil. By imposing an impersonal judgment, however, the project manager can stick with the specifics of the case at hand rather than getting into personalities. “Company policy states that all customers must receive cop- ies of project revision orders within three working days” is an example of an impersonal judgment that does not point the finger of guilt at either party.
control the conFlIct Not all conflicts can be (nor should be) quickly resolved. In some cases, a pragmatic response to a conflict might be to wait a couple of days for the two parties to cool down. This is not a cowardly response; instead it recognizes that project managers must be selec- tive about how they intervene and the optimal manner in which they can intervene. Another way to control conflict is through limiting the interaction between two parties. For example, if it is common knowledge that one member of the project team and the customer have a long history of animosity, good sense dictates that they should not be allowed to communicate directly except under the most controlled of circumstances.
accePt the conFlIct Not all conflicts are manageable. Sometimes the personalities of two proj- ect team members are simply not compatible. They disliked each other before the project and will continue to dislike each other long after the project has been completed.
elImInate the conFlIct We need to critically evaluate the nature and severity of conflicts that occur continually within a project. In some situations, it is necessary, for the good of the project, to transfer a team member or make other changes. If there is a clearly guilty party, a common response is to sanction that person, remove him from the project, or otherwise pun- ish him. If two or more people share a collective guilt for the ongoing conflict, it is often use- ful to transfer them all—sending a signal that you intend to run the project as impartially as possible.
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The important point to bear in mind is that different approaches may be appropriate in differ- ent situations. Do not assume that a problem-solving session is always beneficial or warranted, nor is ignoring conflict always “lazy” management. Project managers have to learn to understand their own preferences when it comes to handling conflict. Once we have achieved a greater sense of self- awareness, we will be in a better position first to resolve our own conflicts constructively and then to deal more effectively with subordinate conflicts. The key is flexibility. It is important not to lock into any particular conflict style nor favor one resolution tactic to the exclusion of all others. Each has its strengths and drawbacks and can be an important part of the project manager’s tool chest.
Conflict often is evidence of project team progress. As we begin to assemble a group of dis- parate individuals with various functional backgrounds into a project team, a variety of conflicts are bound to be sparked. Team conflict is natural. Remember, however, that the approaches we choose to employ to deal with conflict say a great deal about us: Are we intolerant, authoritarian, and intransigent, or do we really want to find mutually beneficial solutions? We can send many messages—intentional and unintentional, clear and mixed—to the rest of the project team by the manner in which we approach team building and conflict management.
6.8 negotIatIon
One of the central points that this chapter has made is to suggest that much of our future success will rest with our ability to appreciate and manage the variety of “people” issues that are central to life in projects. negotiation is a process that is predicated on a manager’s ability to use his influ- ence productively.
Negotiation skills are so important because much of a project manager’s life is taken up in bargaining sessions of one type or another. Indeed, stakeholder management can be viewed as the effective and constant mutual negotiation across multiple parties. Project managers negotiate for additional time and money, to prevent excessive interference and specification changes from cli- ents, the loan or assignment to the team of important project team personnel with functional man- agers, and so forth. Negotiation represents the art of influence taken to its highest level. Because effective negotiation is an imperative for successful project management, it is vital that project managers understand the role negotiation plays in their projects, how to become better negotia- tors, and some of the important elements in negotiation.
questions to ask Prior to the negotiation
Anyone entering a negotiation needs to consider three questions: How much power do I have? What sort of time pressures are there? Do I trust my opponent?33
A realistic self-assessment concerning power and any limiting constraints is absolutely vital prior to sitting down to negotiate. One important reason is that it can show the negotiators where they are strong and, most importantly, what their weaknesses are. A project manager once related this story:
It was early in June and we were involved in the second week of pretty intense negotiations with a vendor for site considerations before starting a construction project. Unfortunately, the vendor discovered that we do our accounting books on a fiscal basis, ending June 30th, and he figured, correctly, that we were desperate to record the deal prior to the end of the month. He just sat on his hands for the next 10 days. Now it’s June 21st and my boss is having a heart attack about locking in the vendor. Finally, we practically crawled back to the table in late June and gave him everything he was asking for in order to record the contract.
This project manager lost out in the power and time departments! How much power do you have going into the negotiation? You are not necessarily looking
for a dominant position but a defensive one, that is, one from which the other party cannot domi- nate you. How much time do you have? The calendar can be difficult to overcome. So, too, can a domineering boss who is constantly telling you to “solve the problem with R&D, marketing, or whomever.” Once word gets out that you have a time constraint, just watch your opponent slow down the pace, reasoning correctly that you will have to agree sooner rather than later, and on her terms, not yours.
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Is it possible to trust the other party? Will the firm abide by its word, or does it have a reputa- tion for changing agreements after the fact? Is it forthcoming with accurate information? Does it play negotiation hardball? Note that not all of these questions indicate someone who is untrust- worthy. Indeed, it is appropriate to play hardball on occasion. On the other hand, the essential question is whether you can sit across a table from your opponent and believe that you both have a professional, vested interest in solving a mutual problem. If the answer is no, it is highly unlikely that you will negotiate with the same degree of enthusiasm or openness toward the other party.
Principled negotiation
One of the most influential books on negotiation in recent years is Getting to Yes, by Roger Fisher and William Ury.34 They offer excellent advice on principled negotiation, the art of getting agree- ment with the other party while maintaining a principled, win-win attitude. Among the sugges- tions they offer for developing an effective negotiating strategy are the following.
SeParate the PeoPle From the ProBlem One of the most important ideas of negotiation is to remember that negotiators are people first. What this dictum means is that negotiators are no dif- ferent from anyone else in terms of ego, attitudes, biases, education, experiences, and so forth. We all react negatively to direct attacks, we all become defensive at unwarranted charges and accusa- tions, and we tend to personalize opposing viewpoints, assuming that their objections are aimed at us, rather than at the position we represent. Consequently, in observing the saliency of the notion that negotiators are people first, we must seek ways in which we can keep people (along with their personalities, defensiveness, egos, etc.) out of the problem itself. The more we can focus on the issues that separate us and pay less attention to the people behind the issues, the greater the likeli- hood of achieving a positive negotiated outcome.
Put yourself in their shoes. An excellent starting point in negotiations is to discuss not only our own position but also our understanding of the other party’s position early in the negotia- tion process. When the other party hears a reasoned discussion of both positions, two important events occur: (1) It establishes a basis of trust because our opponent discovers that we are willing to openly discuss perceptions in the beginning, and (2) it reconstructs the negotiation as a win-win, rather than a winner-take-all, exercise.
Don’t deduce their intentions from your fears. A common side effect of almost all negotiations, particularly early in the process, is to construct supporting stereotypes of the other side. For exam- ple, in meeting with the accountant to negotiate additional funding for our project, we may adopt a mind-set in which all accountants are penny-pinching bean counters who are only waiting for the opportunity to cancel the project. Notice that even before the negotiation takes place, we have created an image of the accounting department’s members and their mind-set based on our own misperception and fears, rather than on any objective reality. When we assume that they will act in certain ways, we subconsciously begin negotiating with them as though money is their sole concern, and before we know it, we have created an opponent based on our worst fears.
Don’t blame them for your problems. In negotiations, it is almost always counterproductive to initiate a finger-pointing episode as we seek to attach blame for difficulties our project has encountered. It is far more effective to move beyond the desire to assign blame and search for win-win solutions. For example, suppose that a company has just developed a software program for internal reporting and control that continually crashes in mid-operation. One approach would be for the exasperated accounting manager to call in the head of the software development project and verbally abuse him: “Your program really stinks. Every time you claim to have fixed it, it dumps on us again. If you don’t get the bugs out of it within two weeks we’re going to go back to the old system and make sure that everyone knows the reason why.”
Although it may be satisfying for the accounting manager to react in this manner, it is unlikely to solve the problem, particularly in terms of relations with the software development project team. A far better approach would be less confrontational, seeking to frame the problem as a mutual issue that needs correction. For example, “The reporting program crashed again in midstride. Every time it goes down, my people have to reenter data and use up time that could be spent in other ways. I need your advice on how to fix the problem with the software. Is it just not ready for beta testing, are we using it incorrectly, or what?” Note that in this case, the head of the accounting department is careful not to point fingers. He refrains from taking the easy way
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out through simply setting blame and demanding correction, and instead treats the problem as a problem that will require cooperation if it is to be resolved.
Recognize and understand emotion: theirs and yours. Although it is often easy to get emotional during the course of a negotiation, the impulse must be resisted as much as possible.35 It is com- mon in a difficult, protracted negotiation to see emotions begin to come to the surface, often due to anger or frustration with the tactics or attitudes of the other party. Nevertheless, it is usually not a good idea to respond in an emotional way, even when the other party becomes emotional. They may be using emotion as a tactic to get your team to respond in an equally emotional way and allow your heart to begin guiding your head—always a dangerous course. Although emotions are a natural side effect of lengthy negotiations, we need to understand precisely what is making us unhappy, stressed, tense, or angry. Further, are we astute enough to take note of the emotions emanating from our opponent? We need to be aware of what we are doing that is making the other person upset or irritable.
Listen actively. Active listening means our direct involvement in the conversation with our opponent, even when the other party is actually speaking. Most of us know from experience when people are really listening to us and when they are simply going through the motions. In the latter case, our frustration at their seeming indifference to our position can be a tremendous source of negative emotion. For example, suppose a client is negotiating with the project manager for a per- formance enhancement on a soon-to-be-released piece of manufacturing equipment. The project manager is equally desirous to leave the project alone because any reconfigurations at this time will simply delay the release of the final product and cost a great deal of extra money. Every time the client voices her issues, the project manager speaks up and says, “I hear what you’re saying, but . . . .” In this case, the project manager clearly is not hearing a word the client is saying but is simply paying lip service to the client’s concerns.
Active listening means working hard to understand not simply the words but the underly- ing motivations of the other party. One effective technique involves interrupting occasionally to ask a pointed question: “As I understand it, then, you are saying . . . .” Tactics such as this con- vince your opponent that you are trying to hear what is being said rather than simply adhering to your company’s party line no matter what arguments or issues the other side raises. Remember that demonstrating that you clearly understand the other party’s position is not the same thing as agreeing with it. There may be many points with which you take issue. Nevertheless, a construc- tive negotiation can only proceed from the point of complete and objective information, not from preconceived notions or entrenched and intransigent positions.
Build a working relationship. The idea of negotiating as though you are dealing with a party with whom you would like to maintain a long-term relationship is key to effective negotiations. We think of long-term relationships as those with individuals or organizations that we value and, hence, are inclined to work hard to maintain. The stronger the working relationship, the greater the level of trust that is likely to permeate its character.
FocuS on IntereStS, not PoSItIonS There is an important difference between the positions each party adopts and the interests that underscore and mold those positions. When we refer to “interests,” we mean the fundamental motivations that frame each party’s positions. As Fisher and Ury note, “Interests define the problem.”36 It is not the positions taken by each party that shape the negotiation nearly as much as it is the interests that are the source of the parties’ fears, needs, and desires.
Why look for underlying interests as opposed to simply focusing on the positions that are placed on the table? Certainly, it is far easier to negotiate with another party from the point of our position versus theirs. However, there are some compelling reasons why focusing on interests rather than positions can offer us an important “leg up” in successful negotiations. First, unlike positions, for every interest there are usually several alternatives that can satisfy it. For example, if my major interest is to ensure that my company will be in business over the years to come, I can look for solutions other than simply squeezing every drop of profit from the contractor in this nego- tiation. For example, I could enter into a long-term relationship with the contractor in which I am willing to forgo some profit on this job while locking the contractor into a sole-source agreement for the next three years. The contractor would then receive the additional profit from the job by paying me less than I desire (my position) while supplying me with long-term work (my interest).
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Another reason for focusing on interests argues that negotiating from positions often leads to roadblocks as each party tries to discover their opponent’s position while concealing their own. We consume valuable time and resources in making visible our various positions while hiding as long as possible our true intentions. In focusing on interests, on the other hand, we adopt a partnering mentality that acknowledges the legitimacy of both sides’ interests and seeks to find solutions that will be mutually satisfying.
Invent options for mutual gain
Managers sometimes put up roadblocks for themselves, making it difficult to consider win-win options when negotiating.
Managers can have premature judgment. We quickly arrive at conclusions about the other side and anything they say usually serves to solidify our impressions. Further, rather than seek to broaden our various options early in the negotiation, we typically go the other direction and put limits on how much we are willing to give up, how far we are willing to go, and so forth. Every premature judgment we make limits our freedom of action and puts us deeper into an adversarial, winners-losers exchange.
Some managers search only for the best answer. A common error made is to assume that bur- ied underneath all the negotiating ploys and positions is one “best” answer that will eventu- ally emerge. In reality, most negotiations, particularly if they are to result in win-win outcomes, require us to broaden our search, not limit and focus it. For example, we may erroneously define the “best” answer to typically mean the best for our side, not the other party. It is important to acknowledge that all problems lend themselves to multiple solutions. Indeed, it is through consideration of those multiple solutions that we are most likely to attain one that is mutually satisfying.
Managers assume that there’s only a “fixed pie.” Is there really only a fixed set of alternatives available? Maybe not. It is common to lock into a “I win, you lose” scenario that virtually guaran- tees hardball negotiating with little or no effort made to seek creative solutions that are mutually satisfying.
Thinking that “solving their problem is their problem” is another roadblock. Negotiation breeds egocentrism. The greater our belief that negotiation consists of simply taking care of ourselves, the greater the likelihood that we will be unwilling to engage in any win-win solutions. Our position quickly becomes one of pure self-interest.
If these are some common problems that prevent win-win outcomes, what can be done to improve the negotiation process? There are some important guidelines that we can use to strengthen the relationship between the two parties and improve the likelihood of positive out- comes. Briefly, some options to consider when searching for win-win alternatives include positive and inclusive brainstorming, broadening options, and identification of shared interests.
The use of positive and inclusive brainstorming implies that once a negotiation process begins, during its earliest phase we seek to include the other party in a problem-solving session to identify alternative outcomes. This approach is a far cry from the typical tactic of huddling to plot nego- tiation strategies to use against the other team. In involving the other party in a brainstorming session, we seek to convince them that we perceive the problem as a mutually solvable one that requires input and creativity from both parties. Inviting the other party to a brainstorming session of this type has a powerfully disarming effect on their initial defensiveness. It demonstrates that we are interested not in beating the other side, but in solving the problem. Further, it reinforces the earlier point about the necessity of separating the people from the problem. In this way, both par- ties work in cooperation to find a mutually satisfactory solution that also serves to strengthen their relationship bonds.
The concept of broadening options is also a direct offshoot of the notion of brainstorming. Broadening our options requires us to be open to alternative positions and can be a natural result of focusing on interests rather than positions. The more I know about the other party’s interests and am willing to dissect my own, the greater the probability that together we can work to create a range of options far broader than those we may initially be tempted to lock ourselves into.
Finally, a third technique for improving chances for win-win outcomes is to identify shared interests. A common negotiating approach employed by experienced bargainers is to sometimes
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table the larger items to a later point in the negotiation, focusing instead on minor or peripheral issues that offer a greater likelihood of reaching agreement. Once the two parties begin to work together to identify their shared interests and gain some confidence from working in a collabora- tive way, it is possible to reintroduce the larger sticking points. By this time both sides have begun to develop a working rhythm and a level of harmony that makes it easier to look for shared inter- ests within these larger issues.
Insist on using objective criteria
One of the best methods for ensuring that a negotiation proceeds along substantive lines is to frame the discussion around objective criteria.37 Do not get bogged down in arguing per- ceptions or subjective evaluations. For example, a project manager recently almost had his new product development (NPD) project canceled because of protracted negotiations with a client over delivering an “acceptable” working prototype. Obviously, the project man- ager had a far different interpretation of the word acceptable than did the client. The project manager assumed that acceptable included normal bugs and preliminary technical problems whereas the client had used the word to imply error-free. In their desire to pin the onus of responsibility on the other, neither was willing to back away from her interpretation of the nebulous “acceptable.”
Objective data and other measurable criteria often form the best basis for accurate negotia- tions. When firms or individuals argue costs, prices, work hours, and so on, they are using estab- lished standards and concepts that both parties can understand with a minimum of interpretation error. On the other hand, the more vague the terms employed or the more subjective the language, the greater the potential to be arguing at cross-purposes, even if both parties assume that the other is using the same interpretations of these terms.
Develop fair standards and procedures. Whatever standards are used as the basis of the negotia- tion need to be clearly spelled out and put in terms that are equally meaningful to both parties. This point is particularly relevant in cross-cultural negotiations in that different countries and cul- tures often attach different meaning to terms or concepts. For example, several American heavy construction firms, including Bechtel Corporation, lodged a protest against a number of Japanese construction firms for their collusion in dividing up biddable contracts (bid rigging) prior to a major airport project in Tokyo Bay. The Japanese companies argued in turn that they were fulfill- ing the terms of recent free-competition agreements by simply allowing Bechtel to submit a bid. Further, in Japanese society, there is nothing inherently illegal or unethical about engaging in this form of bid rigging. Clearly, both parties had very different interpretations of the idea of fair and clear bidding practices.
Fair standards and procedures require that both parties come together and negotiate from the same basic understanding of the terms and liabilities. In project management, this concept is particularly relevant because construction contracting requires a universally understood set of terms and standards. When the two parties are engaged in negotiating from the point of appro- priate standards, it effectively eliminates the source of many potential misunderstandings or misinterpretations.
In visualizing the need to become adept at team building, conflict management, and nego- tiation, it is important to remember that the greatest challenges project managers typically face in running their projects are the myriad “people” challenges that result from the process of forming a diverse set of project members into a unified and collaborative team, whose goal is to pursue proj- ect success. Creating a team and initiating the project development process sows the seeds for a wide variety of conflicts among all project stakeholders. These conflicts are inevitable. They should be treated not as a liability, however, but as an opportunity. Conflict can lead to positive outcomes by solidifying team member commitment and motivation, and generating the energy to complete project activities.
Nevertheless, channeling conflict in appropriate ways requires a sure touch on the part of the project manager. Our ability to sustain influence and use negotiation in skillful ways is a great advantage in ensuring that team development and conflict serve not to derail the project but to renew it. Conflict is inevitable; it is not disastrous. Indeed, the degree to which a conflict disrupts a project’s development depends upon the project manager’s willingness to learn enough about conflict to deal with it effectively.
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Summary
1. Understand the steps involved in project team building. The first step in project team building is the selection of personnel to staff the project team. This process can be complicated, particularly due to the high potential for conflict and negotiation with functional managers who may retain effective con- trol over project team members. Following an anal- ysis of skill requirements and staff availability, the team-building process typically involves matching the best people to the identified project tasks, while at the same time understanding the need to make these staffing decisions in collaboration with other top managers or departmental heads.
2. Know the characteristics of effective project teams and why teams fail. High-performing teams are typically characterized by (1) a clear sense of mis- sion, (2) an understanding of interdependencies, (3) cohesiveness, (4) trust, (5) enthusiasm, and (6) a results orientation. On the other hand, teams that fail often do so due to poorly developed goals, poorly defined team roles, lack of motivation, poor communication, poor leadership, high project team turnover, and dysfunctional behavior.
3. Know the stages in the development of groups. Project teams do not begin their assignments as a unified, cohesive, and motivated body. Rather, their development is a challenge that must be effectively managed if we are to get maximum performance from the team. Teams go through some identifi- able stages in their development process, and proj- ect managers need to recognize and seek to manage these developmental stages as efficiently as they can. One model of team development posits a five-stage approach—forming, storming, norming, performing, and adjourning—each with its unique challenges and group behaviors. An alternative model that has been validated through research argues that groups adopt a process of “punctuated equilibrium” as they evolve.
4. describe how to achieve cross-functional coopera- tion in teams. Superordinate goals, rules and pro- cedures, physical proximity, and accessibility are all important factors in motivating people to collabo- rate. The effects of this cross-functional cooperation are twofold: They can positively impact both proj- ect task outcomes and psychosocial project team results. Task outcomes positively affect the project
at hand, while psychosocial outcomes mean that team members retain high positive attitudes toward the project experience and will enter new projects with strong motivation to succeed again.
5. see the advantages and challenges of virtual project teams. Virtual project teams are defined as the use of electronic media, including e-mail, the Internet, and teleconferencing, to link together members of a geographically dispersed project team, largely because of the globalization of project management. As multinational firms attempt to manage proj- ects from geographically dispersed units, they need sophisticated technical media that support their com- munications and networking. The sheer physical barriers caused by globalization, coupled with the increase in multiorganizational project teams, have led to the increased use of virtual technologies to link team members. Two of the biggest challenges in effec- tively creating and managing virtual teams are estab- lishing and reinforcing trust among team members and establishing effective communication patterns.
6. Understand the nature of conflict and evaluate response methods. Conflict is an inevitable result when team members with diverse functional back- grounds, personalities, experiences, and attitudes are brought together and expected to work collab- oratively. Among the organizational causes of con- flict are scarce resources, uncertainty over lines of authority, and differentiation. Interpersonal causes of conflict include faulty attributions, faulty com- munication, and personal grudges and prejudice. Conflict can be addressed through mediation, arbi- tration, control, acceptance, or elimination.
7. Understand the importance of negotiation skills in project management. Project managers routinely negotiate with a wide variety of organizational stake- holders for resources, contractual considerations, terms and conditions, and so forth. Effective project managers are often those individuals who approach negotiations in a systematic manner, taking the time to carefully analyze the nature of the negotiation, what they hope to achieve, and how much they are willing to offer to achieve their important goal. In principled negotiation, the primary objective is to seek win-win alternatives that allow both parties to negotiate to gain their goals.
Key Terms
Accessibility (p. 201) Adjourning (p. 198) Administrative conflict (p. 205) Cohesiveness (p. 193) Conflict (p. 205)
Cross-functional cooperation (p. 199) Differentiation (p. 192) Forming stage (p. 197) Frustration (p. 207) Goal-oriented conflict (p. 205)
Interaction (p. 193) Interdependencies (p. 192) Interpersonal conflict (p. 205) Negotiation (p. 209) Norming stage (p. 198)
Orientation (p. 194) Outcomes (p. 194) Performing stage (p. 198) Physical proximity (p. 201) Principled negotiation (p. 210)
Case Study 6.1 215
Psychosocial outcomes (p. 201) Punctuated equilibrium (p. 198)
Storming stage (p. 197) Superordinate goal (p. 199)
Task outcomes (p. 201) Team building (p. 188)
Trust (p. 193) Virtual teams (p. 202)
Discussion Questions
6.1 This chapter discussed the characteristics of high- performing project teams. List the factors that characterize these teams and give examples of each one.
6.2 “Trust can actually encourage disagreement and conflict among team members.” Explain why this could be the case.
6.3 Identify the stages of group development. Why is it nec- essary for project teams to move through these stages in order to be productive?
6.4 Gersick’s model of punctuated equilibrium offers an al- ternative view of group development. Why does she sug- gest that some defining moment (such as an explosion of emotion) often occurs about midpoint in the project? What does this defining event accomplish for the team?
6.5 Explain the concepts of “task” and “psychosocial” out- comes for a project. Why are psychosocial outcomes so important for project team members?
6.6 Distinguish between the traditional, behavioral, and inter- actionist views of team conflict. How might each explain and treat a project team conflict episode?
6.7 Identify the five major methods for resolving conflict. Give an example of how each might be applied in a hypotheti- cal project team conflict episode.
6.8 What are some of the guidelines for adopting a strategy of “principled negotiation”?
6.9 Explain the idea that we should “focus on interests, not po- sitions.” Can you think of an example in which you suc- cessfully negotiated with someone else using this principle?
CaSe STuDy 6.1 Columbus Instruments
(continued)
Problems have been building at Columbus Instruments, Inc. (CIC) (not its real name) for several years now with the new product development process. The last six high-visibility projects were either scrapped outright after excessive cost and schedule overruns or, once re- leased to the marketplace, were commercial disasters. The company estimates that in the past two years, it has squandered more than $15 million on poorly de- veloped or failed projects. Every time a new project venture failed, the company conducted extensive post- project review meetings, documentation analysis, and market research to try to determine the underlying cause. To date, all CIC has been able to determine is that the problems appear to lie with the project man- agement and development process. Something some- where is going very wrong.
You have been called into the organization as a consultant to try to understand the source of the prob- lems that are leading to widespread demoralization across the firm. After spending hours interviewing the senior project management staff and technical person- nel, you are convinced that the problem does not lie with their processes, which are up-to-date and logi- cal. On the other hand, you have some questions about project team productivity. It seems that every project has run late, has been over budget, and has had subop- timal functionality, regardless of the skills of the project
manager in charge. This information suggests to you that there may be some problems in how the project teams are operating.
As you analyze CIC’s project development pro- cess, you note several items of interest. First, the company is organized along strictly functional lines. Projects are staffed from the departments following negotiations between the project manager and the department heads. Second, the culture of CIC seems to place little status or authority on the project managers. As evidence of this fact, you note that they are not even permitted to write a performance evaluation on proj- ect team members: That right applies only to the func- tional department heads. Third, many projects require that team members be assigned to them on an exclusive basis; that is, once personnel have been assigned to a project, they typically remain with the project team on a full-time basis for the term of the project. The average project lasts about 14 months.
One morning, as you are walking the hallways, you notice a project team “war room” set up for the latest new product development initiative within the company. The war room concept requires that proj- ect team members be grouped together at a central location, away from their functional departments, for the life of the project. What intrigues you is a hand- lettered sign you see taped to the door of the project
216 Chapter 6 • Project Team Building, Conflict, and Negotiation
war room: “Leper Colony.” When you ask around about the sign, some members of the firm say with a chuckle, “Oh, we like to play jokes on the folks assigned to new projects.”
Further investigation of project team members suggests they are not amused by the sign. One engineer shrugs and says, “That’s just their way of making sure we understand what we have been assigned to. Last week they put up another one that said ‘Purgatory.’” When you ask the project manager about the signs later in the day, he confirms this story and adds some inter- esting information: “Around here, we use detached [meaning centralized] project teams. I get no say as to who will be assigned to the project, and lately the func- tional heads have been using our projects as a dumping ground for their poor performers.”
When you question him further, the project man- ager observes, “Think about it. I have no say in who gets assigned to the team. I can’t even fill out a per- formance review on them. Now, if you were a depart- ment head who was trying to offload a troublemaker or someone who was incompetent, what could be bet- ter than shipping them off to a project team for a year or so? Of course, you can imagine how they feel when they hear that they have been assigned to one of our project teams. It’s as if you just signed their death war- rant. Talk about low motivation!”
When you question various department heads about the project manager’s assertions, to a person they deny that this is an adopted policy. As the head of finance puts it, “We give the project teams our best available people when they ask.” However, they also admit that they have the final say in personnel assign- ment and project managers cannot appeal their choices for the teams.
After these discussions, you suggest to the CEO that the method of staffing projects may be a reason for the poor performance of CIC’s new product develop- ment projects. He ponders the implications of how the projects have been staffed in his organization, and then says, “Okay, what do you suggest we do about it?”
Questions
1. What are the implications of CIC’s approach to staffing project teams? Is the company using project teams as training grounds for talented fast-trackers or as dumping grounds for poor performers?
2. How would you advise the CEO to correct the problem? Where would you start?
3. Discuss how issues of organizational structure and power played a role in the manner in which project management declined in effectiveness at CIC.
CaSe STuDy 6.2 The Bean Counter and the Cowboy
The morning project team meeting promised to be an interesting one. Tensions between the representa- tive from marketing, Susan Scott, and finance, Neil Schein, have been building for several weeks now—in fact, since the project team was formed. As the project manager, you have been aware that Susan and Neil do not see eye to eye, but you figured that over time they would begin to appreciate each other’s perspective and start cooperating. So far, unfortunately, that has not happened. In fact, it seems that hardly a day goes by when you do not receive a complaint from one or the other regarding the other team member’s behavior, lack of commitment or cooperation, or general shoddy performance.
As the team gathers for the regular project status meeting, you start with an update on the project tasks, any problems the team members are having, and their assessment of the project’s performance to date. Before you get too far into the meeting, Susan interrupts,
saying, “John, I’m going to be out of town for the next 10 days visiting clients, so I can’t make the status meet- ings either of the next two Fridays.”
“That figures,” Neil mutters loud enough for all to hear.
Susan whirls around. “I have another job around here, you know, and it involves selling. It may be con- venient for you to drop everything and come to these meetings, but some of us have other responsibilities.”
Neil shoots back, “That’s been your excuse for missing half of the meetings so far. Just out of curios- ity,” he continues sarcastically, “how many more do you figure on blowing off while hanging out poolside on your little out-of-towners?”
Susan turns bright red. “I don’t need to put up with that from you. You bean counters have no clue how this business works or who delivers value. You’re so busy analyzing every penny that you have perma- nent eyestrain!”
Case Study 6.3 217
“Maybe I could pay attention if I didn’t have to constantly stay on the backs of you cowboys in sales,” counters Neil. “I swear you would give our products away if it would let you make your quarterly numbers, even if it does drive us into the ground!”
You sit back, amazed, as the argument between Neil and Susan flares into full-scale hostility and threatens to spin out of control. The other team mem- bers are looking at you for your response. George, from engineering, has a funny expression on his face, as if to say, “Okay, you got us to this point. Now what are you going to do about it?”
“People,” you rap on the table, “that’s enough. We are done for today. I want to meet with Susan and Neil in my office in a half hour.”
As everyone files out, you lean back in your seat and consider how you are going to handle this problem.
Questions
1. Was the argument today between Neil and Susan the true conflict or a symptom? What evidence do you have to suggest it is merely a symptom of a larger problem?
2. Explain how differentiation plays a large role in the problems that exist between Susan and Neil.
3. Develop a conflict management procedure for your meeting in 30 minutes. Create a simple script to help you anticipate the comments you are likely to hear from both parties.
4. Which conflict resolution style is warranted in this case? Why? How might some of the other resolution approaches be inadequate in this situation?
CaSe STuDy 6.3 Johnson & Rogers Software Engineering, Inc.
(continued)
Kate Thomas, a project manager with Johnson & Rogers Software Engineering, was looking forward to her first project team “meeting.” She applied quotes to the term “meeting” because she would not actually be sitting down at a table with any of the other members of the project team. She had been assigned responsibility for a large software development project that would be using team members from both inside and outside the organi- zation, none of whom were currently employed at the same Redlands, California, office where she worked. In fact, as she ticked off the names on the legal pad in front of her, she did not know whether to be impressed or ap- prehensive with the project she was about to kick off.
Vignish Ramanujam (senior programmer)—New Delhi, India
Anders Blomquist (systems designer)—Uppsala, Sweden
Sally Dowd (systems engineer)—Atlanta, Georgia Penny Jones (junior programmer)—Bristol,
England Patrick Flynn (junior programmer)—San Antonio,
Texas Erik Westerveldt (subcontractor)—Pretoria,
South Africa Toshiro Akame (customer representative)—Kyoto,
Japan
The challenge with this team, Kate quickly real- ized, was going to involve figuring out how to create
an integrated project team with these people, most of whom she had never dealt with before. Although Sally and Patrick worked for Johnson & Rogers at other plant locations, the rest of the “team” were strangers. Erik, from South Africa, was critical for the project because his company had developed some of the specialized processes the project required and was to be treated as an industrial partner. The other mem- bers of the team had been assembled either by Erik or through contacts with senior members of her own firm. She did not know, but would soon discover, how they felt about the project and their level of commit- ment to it.
The first virtual project meeting was scheduled to start promptly at 9 am Pacific Standard Time. That led to the first problem. As Kate stared at the camera mounted above the video monitor, she kept glanc- ing down at the screen for signs that other members of the team had logged on. Finally, at 9:15, she was joined by Sally, with Toshiro logging in shortly after- ward. As they chatted and continued to wait for other members to log on, time continued to pass. When, at 9:30, no one else had signed on, Kate asked the sec- retary to start making phone calls to verify that other members of the team were trying to access the system. Eventually, by 10:25, the team consisted of five mem- bers: Anders, Sally, Penny, Patrick, and Toshiro. It was decided that for the sake of getting something accom- plished, those who were logged on would get started.
218 Chapter 6 • Project Team Building, Conflict, and Negotiation
The agenda that Kate had prepared and e-mailed out the day before was produced and the meeting began. Within 10 minutes, the video link to Penny was sud- denly lost. The other team members waited for five minutes, shuffling in various states of impatience for Penny to rejoin the meeting. There was still no sign of Vignish or Erik.
The meeting quickly bogged down on techni- cal details as those in attendance realized that several technical issues could not be resolved without input from the missing team members. Though he tried his best to hide it, it became apparent that Toshiro, in particular, was frustrated with the lack of progress in this meeting. Kate suggested that they adjourn until 11, while she made another attempt to contact the missing members, but Toshiro objected, saying, “That is 3 am in my country. It is now past midnight here. I have been here today for 15 hours and I would like to get home.” It was finally agreed to reconvene tomor- row at the same time. Toshiro agreed, but with bad grace: “Can we not find a time that is more accommo- dating to my schedule?” Kate promised to look into the matter.
The next day’s meeting was a mixed success. Although everyone managed to log on to the system within a reasonable period, Penny’s connection kept going down, to the exasperation of Vignish, the senior programmer. Although the meeting was conducted with great politeness by all parties, it was equally clear that no one was willing to offer their candid opinions of the project, the goals, and how the team was expected to execute their assignments. After asking members of the team for honest feedback and getting little response, Kate eventually dropped the point. In addition, she had a nagging feeling that there was some unspoken animosity in the manner in which Patrick and Sally interacted with each other.
After some general goal setting and a discussion of team responsibilities, Kate asked if there was a time when they could next meet. In the general silence that followed, Anders spoke up, asking, “Well, how often do you hope to meet like this? To be honest, it is inconvenient for me to attend these sessions regularly, as our telecom equipment is in Stockholm and I have to drive an hour each way.”
Toshiro then spoke up as well. “I am sorry to repeat this point,” he said, “but these meeting times are extremely inconvenient for me. Could we not find a time that is more generally acceptable?”
Kate replied, “Well, how about 5 pm my time. That’s . . .,” Kate paused and quickly consulted her per- sonal planner, “9 in the morning for you.”
This suggestion was met by a wave of objections, with the first from Penny who stated, “Uh, Kate, that would be 1 am here in England.”
No sooner had she spoken than Anders, Erik, and Vignish chimed in, “Kate, that’s 2 am in Stockholm and Pretoria,” and “Kate, are you aware that that is 6 am here in New Delhi?”
Back and forth the team members argued, trying to find a reasonable time they could all meet. Finally, after going around the group several times to work out a mutually agreeable time for these teleconfer- ences, Erik spoke up: “Maybe we don’t all need to meet at the same time, anyway. Kate, why don’t you just schedule meetings with each of us as you need to talk?”
Kate objected by saying, “Erik, the whole point of these teleconferences is to get the team together, not to hold one-on-one meetings with each of you.”
Erik responded, “Well, all I know is that this is only the first videoconference and already it is becom- ing a burden.”
Penny spoke up, “You’re lucky. At least your sys- tem works. Mine keeps going up and down at this end.”
“Okay, how about just using e-mails?” suggested Erik. “That way it does not matter what the time is at our location.”
The other team members agreed that this idea made sense and seemed on the verge of endorsing the use of e-mails for communications. At this point, Kate stepped back into the discussion and stated firmly, “Look, that won’t do. We need the opportunity to talk together. E-mails won’t do that.”
More arguing ensued. Eventually, the team mem- bers signed off, agreeing that they needed to “talk fur- ther” about these issues. Kate’s reaction was one of disappointment and frustration. She sensed reluctance among the other members of the team to talk about these issues and to use the videoconferencing system in the manner she had envisioned. As Kate sat down to lunch that noon, she pondered how she should proceed from here.
Questions
1. How would you advise Kate to proceed? Analyze the conversation she had this morning. What went right? What went wrong?
2. What should Kate’s next steps be? 3. How can she use the technology of the Internet
and teleconferencing to enhance team develop- ment and performance?
The following is a negotiation scenario between two firms: SteelFabrik, Inc. (SFI) and Building Contractors of Toledo (BCT). You are asked to take either SFI’s or BCT’s side of the negotiation. How would you prepare for this negotiation? How would you attempt to create a win-win outcome for both parties?
SteelFabrik’s Perspective You are the project manager for a new steel fabrication plant construction project being built by Building Con- tractors of Toledo (BCT). Your client is SteelFabrik, Inc. (SFI), a multinational steel products manufacturer. Your timetable calls for completion of the project in 18 months and you have a budget of $6 million. During the last few weeks, it has been increasingly difficult to deal with on- site demands from your client. SFI has insisted on a list of change orders to suit their immediate needs for the plant layout and design. Your counterpart says that because SFI is paying millions for the plant, they are entitled to make appropriate changes to the project for as long as is neces- sary to “get it right.” You are concerned that every day spent in processing change orders adds further delay to your targeted completion date because engineering must approve the changes, design must alter the plans, and fabrication must change the plant’s structure.
BCT is already in trouble on this project. In order to win the work, they significantly underbid their local competitors, leaving very little profit margin in the best- case scenario. Unfortunately, now with the list of change requests, both the budget and the schedule are being stretched to the limit. You are under increasing pressure from upper management to complete the job with the expected profit margin. You have $50,000 to work with and still meet your profitability goals. You are personally under pressure within your organization because your track record for the past three years has not been good— several projects that came in over budget and behind schedule have given top management reason to watch your performance on this project very closely. Although no one has said it out loud, you are fully aware that an- other significant overrun or delay could likely cost you your job with BCT.
Because you view SFI as a potential long-term cus- tomer, you are reluctant to simply refuse their demands. You know that a win-win outcome will likely bring fu- ture SFI business to your firm and could be the source of a profitable backlog of business for at least the next five years. Your own sales department is aware that this proj- ect with SFI could lead to future business and has added to your pressure by constantly stressing the importance of keeping the customer happy. As a result, you have im- portant elements within your own organization, as well as with the customer, all expecting you to successfully complete the project to everyone’s satisfaction.
While reading your e-mails over the weekend, you have come upon the latest set of change orders from SFI for adjustments to the plant layout to accom- modate enhanced rail traffic into and out of the plant. These changes will require that the current construction work be halted, your own engineers and government regulators meet to discuss these requests, and new as- sembly and shipping areas be designed. Based on your experience, you estimate that the changes as requested will add $150,000 to the cost of the project and push the completion date back a minimum of six weeks. Worse, as you examine the change requests, you are convinced that these alterations are unnecessarily complicated and add no value to the plant’s design. The final line of the e-mail is the most troubling: SFI expects these changes to be made immediately and will not allow any sched- ule slippage to accommodate them; in fact, they men- tion that it is imperative that the steel plant become op- erational on schedule. The only good news is that your sales department has found out that SFI may be willing to spend some additional money for the changes, but they aren’t sure how much.
You have just typed out a short note scheduling a meeting for this Wednesday to negotiate an agreement on the requested changes. You are under strong pressure to reach a settlement that preserves BCT’s profit margin, but at the same time you must keep SFI happy. As you sit at your home computer this Sunday afternoon, you are al- ready dreading a return to work tomorrow morning. What approach should you take for the upcoming negotiations?
SFI’s Perspective You are a manager with SteelFabrik, Inc. (SFI) and are responsible for overseeing the construction of their fabri- cation plant in the northwest Ohio region. Recently your management informed you that because of new oppor- tunities, this plant could be extremely valuable to their company, provided the rail spur connecting it with the freight rail system could be modified and upgraded to handle high-volume traffic into and out of the facility. This facility represents a significant investment by your company in the Midwest United States, following sev- eral years of contacts with local government officials try- ing to bring new jobs to the region. As a result, you feel you are entitled to make any necessary adjustments to the project to get the most use out of it. These change requests are, in your opinion, reasonable, necessary, and not prohibitively expensive. However, for the past several weeks, you have been experiencing increasing “push-back” from the BCT project manager to a series of relatively minor change requests. Her approach has been to ridicule the need for the changes, try to use low-cost “quick fixes,” or simply talk you out of them. As a result, you are convinced that these latest change requests will
exercise in Negotiation
Exercise in Negotiation 219
220 Chapter 6 • Project Team Building, Conflict, and Negotiation
also be resisted, and your overall relationship with the BCT project manager has become increasingly strained.
You have casually informed the BCT sales represen- tative that this is the first in what your firm anticipates will be a series of similar plants to be constructed in the Great Lakes region over the next ten years. Although you made no commitments to doing future business with BCT, you have made it clear that successful performance on this project will make them the preferred choice for future work. After all, they understand your needs and have a demonstrated history of project success behind them.
You have been getting pressure from your top man- agement, headquartered in Brussels, to complete the proj- ect on time; in fact, finishing on schedule is your greatest concern. SFI has already been bidding construction proj- ects in the Great Lakes region and has several contracts pending, many of substantial size. Further, local politi- cians are anxious to show the project as an example of a successful public/private partnership and, with local elections coming up, are asking when they can announce its completion. Failure to have the plant ready on time puts you at risk of having to void a series of important construction contracts and slow down hiring, plus it would embarrass you and the region’s government. Be- cause the company’s construction contract bids are still being reviewed, you are anxious to keep this information
confidential to avoid attracting the attention of your com- petitors.
There is $250,000 in your budget to spend on ad- ditional change order costs if necessary, though you are keen to make the best possible impression with your top management by keeping costs as low as possible. You absolutely cannot agree to schedule extensions, howev- er, because of all the pending bids and other pressures to finish the plant on time. Sources in the industry have strongly implied that BCT is in some financial difficulty and needs as much future work as they can get.
Your plant engineers have revised the transportation capacity requirements for the new plant and recommend- ed significant changes to the shipping area to accommo- date extra rail traffic. These changes are deemed critical because of the business model projections your firm has developed for getting maximum use and profit from the new fabrication plant. You have sent an e-mail with a de- tailed set of needed design and construction changes to the BCT project manager late Saturday night and just got back a note requesting a formal meeting on Wednesday morning to discuss these changes and find a way to “re- solve our differences.” You know that means that she is already trying to decide how to respond to your requests, and you are now planning for the negotiation. As you sit and reflect on the pressures you are feeling from Brussels, you wonder what approach you should use.
6.1 Click on the Web page for project teams at www. projectsmart.co.uk/five-steps-to-a-winning-project-team. php. Which of these five steps seem to be easier for a proj- ect manager to perform and which seem to be more dif- ficult? Why? How do the ideas in this chapter compare to the advice given in a related link on “five essentials to proj- ect team success” at www.projectsmart.co.uk/5-essentials- to-project-team-success.php? What does this suggest about the importance of setting the stage for project suc- cess through team development?
6.2 Go to the Web site of a professional sports team and ex- plore the site. What clues do you get regarding the impor- tance of “teams” and “teamwork” from this site? Give two or three specific examples.
6.3 Go to the Web site for a pharmaceutical company. Explore the site, particularly information on new research. What kinds of project teams are used within pharmaceutical companies? Can you identify at least five functional areas within these organizations that should work together in a project team in order to develop a new drug?
6.4 Go to www.ebxml.org/project_teams/project_teams.htm and explore the projects and project teams listed. Notice the size and diversity of some of these project teams. What challenges would you find in attempting to bring these individuals together into a project team? How does the fact that some of the teams are made up of personnel from different organizations affect our best attempts to mold a project team?
6.5 Go to http://tele-immersion.citris-uc.org/ and explore the nature of the project working to develop tele-immersion technology. Connect to the link marked “Projects” and observe the different fields and uses for tele- immersion technology. What are projected advances and uses for this science into the future?
PMP certificAtion sAMPle QUestions
1. The project manager is experiencing serious, deep- rooted conflict between two key project team members. It is apparent that these differences are based on differ- ent interpretations of the project’s scope. Which conflict resolution approach would be the most useful for the project manager to employ?
a. Compromising b. Withdrawal c. Punishment d. Problem solving
2. Which of the following is not an example of a team de- velopment strategy?
a. Creating a WBS for the project b. Performance reviews c. Project team outing to a sporting event d. Team lunches
3. Two programmers are involved in a conflict that is threat- ening to disrupt the development of the project. The proj- ect manager calls the two programmers into her office and
Internet exercises
reminds them that they are both “on the same side” in working to develop the software application for the com- pany. Her conflict resolution style would best be seen as:
a. Arbitration b. Defusion c. Controlling the conflict d. Eliminating the conflict
4. Carrie is from the marketing department and she has become increasingly upset with the attitude of the pro- duction member of the project team, Andrew. He seems to either ignore her opinions or make disparaging comments every time she speaks, usually referring to marketing in an unpleasant way. Which stage of group development is the project team addressing, as evi- denced by the interactions of Carrie and Andrew?
a. Norming b. Performing c. Storming d. Adjourning
5. Among the useful means to develop a sense of team- work in personnel from different functional depart- ments are all of the following EXCEPT:
a. Colocation (physical proximity) b. Common goals c. Organizational rules governing their interaction d. Flexible working hours
Answers: 1. d—Problem solving would be the best alternative when the issues are not so much personal as they are perceptu- al (based on interpretation of the project’s scope). Compromis- ing would be a problem because it could lead to watering down the deliverables; 2. a—The other activities can all result in team development; 3. b—Because the project manager emphasizes commonalties and working together, this would be considered a method of conflict resolution through defusion; 4. c—They are clearly exhibiting behaviors that are associated with storm- ing; 5. d—Flexible working hours have no impact on the will- ingness of personnel to work cooperatively with members of other departments.
1. Patel, P. (2009, December 9). “Engineers without borders,” IEEE Spectrum. http://spectrum.ieee.org/geek-life/ profiles/engineers-without-borders
2. Verma, V. K. (1996). Human Resource Skills for the Project Manager. Upper Darby, PA: Project Management Institute; Verma, V. K. (1997). Managing the Project Team. Newtown Square, PA: Project Management Institute.
3. Hoegl, M., and Parboteeah, K. P. (2003). “Goal setting and team performance in innovative projects: On the moder- ating role of teamwork quality,” Small Group Research, 34: 3–19; McComb, S. A., and Green, S. G. (1999). “Project goals, team performance, and shared understanding,” Engineering Management Journal, 11(3).
4. Pinto, J. K., and Prescott, J. E. (1988). “Variations in critical success factors over the stages in the project life cycle,” Journal of Management, 14(1): 5–18.
5. Hartman, F. T. (2000). Don’t Park Your Brain Outside: A Practical Guide to Improving Shareholder Value Through SMART Management. Newtown Square, PA: Project Management Institute; Karlsen, J. T., Grae, K., and Massaoud, M. J. (2008). “The role of trust in project- stakeholder relationships: A study of a construction project,” International Journal of Project Organization and Management, 1: 105–118; Lander, M. C., Purvis, R. L., McCray, G. E., and Leigh, W. (2004). “Trust-building mechanisms utilized in outsourced IS development projects: A case study,” Information and Management, 41: 509–28; Kadefors, A. (2004). “Trust in project relation- ships—inside the black box,” International Journal of Project Management, 22: 175–82; Smyth, H. J., and Thompson, N. J. (2005). “Managing conditions of trust within a framework of trust,” Journal of Construction Procurement, 11(1): 4–18.
6. Hartman, F. T. (2002). “Update on trust: A collection of trust-based research findings,” in Slevin, D. P., Pinto, J. K., and Cleland, D. I. (Eds.), Proceedings of the PMI Research Conference 2002. Newtown Square, PA: Project Management Institute, pp. 247–53.
7. Gido, J., and Clements, J. P. (2003). Successful Project Management, 2nd ed. Mason, OH: South-Western.
8. Tuchman, B. W., and Jensen, M. A. (1977). “Stages in small group development revisited.” Group and Organizational Studies, 2: 419–27.
9. Tuchman, B. W., and Jensen, M. A. (1977), ibid. 10. Verma, V. K. (1997). Managing the Project Team, p. 71, as
cited in note 2. 11. Gersick, C. (1988). “Time and transition in work teams:
Toward a new model of group development.” Academy of Management Journal, 31: 9–41; Gersick, C. (1989). “Making time predictable transitions in task groups.” Academy of Management Journal, 32: 274–309.
12. Pinto, M. B. (1988). Cross-functional cooperation in the implementation of marketing decisions: The effects of superor- dinate goals, rules and procedures, and physical environment. Unpublished doctoral dissertation, University of Pittsburgh, PA; Pinto, M. B., Pinto, J. K., and Prescott, J. E. (1993). “Antecedents and consequences of project team cross func- tional cooperation,” Management Science, 39: 1281–97.
13. Sherif, M. (1958). “Superordinate goals in the reduction of intergroup conflict,” American Journal of Sociology, 63(4): 349–56.
14. Galbraith, J. R. (1977). Organization Design. Reading, MA: Addison-Wesley.
15. Davis, T. E. (1984). “The influence of the physical envi- ronment in offices,” Academy of Management Review, 9(2): 271–83.
16. Frame, J. D. (2002). The New Project Management, 2nd ed. San Francisco, CA: Jossey-Bass.
17. Tjosvold, D. (1993). Teamwork for Customers: Building Organizations That Take Pride in Serving. San Francisco, CA: Jossey-Bass; Logue, A. C. (2002). “Building and keep- ing the dream team,” PMNetwork, 16(3): 30–36.
18. Adams, J. R., and Adams, L. L. (1997). “The virtual projects: Management of tomorrow’s team today,” PMNetwork, 11(1): 37–41; Kostner, J. (1994). Knights of the Tele-Round
Notes
Notes 221
222 Chapter 6 • Project Team Building, Conflict, and Negotiation
Table. New York: Warner Books; Delisle, C. (2001). Success and communication in virtual project teams. Unpublished doctoral dissertation. Dept. of Civil Engineering, Project Management Specialization. University of Calgary, Calgary, Alberta; Fagerhaug, T. (2002). “Virtual project organizations—design of and challenges for,” in Slevin, D. P., Pinto, J. K., and Cleland, D. I. (Eds.), Proceedings of PMI Research Conference 2002. Newtown Square, PA: Project Management Institute, pp. 217–23.
19. Coutu, D. L. (1998). “Organization: Trust in virtual teams,” Harvard Business Review, 76(3): 20–21.
20. Smith, P. G., and Blank, E. L. (2002). “From experience: Leading dispersed teams,” Journal of Product Innovation Management, 19: 294–304.
21. Smith, P. G., and Blank, E. L. (2002), ibid. 22. Lanier, J. (2001, April). “Virtually there: Three dimen-
sional tele-immersion may eventually bring the world to your desk,” Scientific American, 284(4): 66–75.
23. Ditlea, S. (2001, January). “Tele-immersion: Tomorrow’s teleconferencing,” Computer Graphics World, www.cgw. com; (2008). tele-immersion.citris-uc.org/video
24. Posner, B. Z. (1986). “What’s all the fighting about? Conflicts in project management,” IEEE Transactions on Engineering Management, EM-33: 207–11; Thamhain, H. J., and Wilemon, D. L. (1975). “Conflict management in project life cycles,” Sloan Management Review, 16(3): 31–50; Thamhain, H. J., and Wilemon, D. L. (1977). “Leadership, conflict, and program management effectiveness,” Sloan Management Review, 19(1): 69–89; Chan, M. (1989). “Intergroup conflict and conflict management in the R&D divisions of four aerospace companies,” IEEE Transactions on Engineering Management, EM-36: 95–104; Adams, J. R., and Barndt, S. E. (1988). “Behavioral implications of the project life cycle,” in Cleland, D. I., and King, W. R. (Eds.),
Project Management Handbook, 2nd ed. New York: Van Nostrand Reinhold, pp. 206–30.
25. Thomas, K. W., and Schmidt, W. H. (1976). “A survey of managerial interests with respect to conflict,” Academy of Management Journal, 10: 315–18.
26. Thomas, K. W. (1992). “Conflict and negotiation processes in organizations,” in Dunnette, M. D. (Ed.), Handbook of Industrial and Organizational Psychology, 2nd ed. Palo Alto, CA: Consulting Psychologists Press, pp. 889–935; Pondy, L. (1968). “Organizational conflict: Concepts and mod- els,” Administrative Science Quarterly, 12: 296–320.
27. Thamhain, H. J., and Wilemon, D. L. (1975), as cited in note 24.
28. Verma, V. K. (1998). “Conflict management,” in Pinto, J. K. (Ed.), The Project Management Institute’s Project Management Handbook. San Francisco, CA: Jossey-Bass.
29. Verma, V. K. (1996), as cited in note 2; Robbins, S. P. (1974). Managing Organizational Conflict: A Nontraditional Approach. Englewood Cliffs, NJ: Prentice-Hall.
30. Thamhain, H. J., and Wilemon, D. L. (1975), as cited in note 24; Posner, B. Z. (1986), as cited in note 24.
31. Verma, V. K. (1998), as cited in note 28. 32. Ware, J. (1983). “Some aspect of problem-solving and con-
flict resolution in management groups,” in Schlesinger, L. A., Eccles, R. G., and Gabarro, J. L. (Eds.), Managing Behavior in Organization: Text, Cases, Readings. New York: McGraw-Hill, pp. 101–15.
33. Slevin, D. P. (1989). The Whole Manager. New York: AMACOM.
34. Fisher, R., and Ury, W. (1981). Getting to Yes: Negotiating Agreement Without Giving In. New York: Houghton Mifflin.
35. Fisher, R., and Ury, W. (1981), ibid. 36. Fisher, R., and Ury, W. (1981), ibid. 37. Fisher, R., and Ury, W. (1981), ibid.
223
7 ■ ■ ■
Risk Management
Chapter Outline Project Profile
The Building that Melted Cars introduction Project Managers in Practice
Mathew Paul, General Electric Company 7.1 risk ManageMent: a four-stage
Process Risk Identification
Project Profile Bank of America Completely Misjudges
Its Customers Risk Breakdown Structures Analysis of Probability and Consequences Risk Mitigation Strategies Use of Contingency Reserves Other Mitigation Strategies Control and Documentation
Project Profile Collapse of Shanghai Apartment Building
7.2 Project risk ManageMent: an integrated aPProach
Summary Key Terms Solved Problem Discussion Questions Problems Case Study 7.1 Classic Case: de Havilland’s
Falling Comet Case Study 7.2 The Spanish Navy Pays Nearly $3
Billion for a Submarine That Will Sink Like a Stone Case Study 7.3 Classic Case: Tacoma Narrows
Suspension Bridge Internet Exercises PMP Certification Sample Questions Integrated Project—Project Risk Assessment Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Define project risk. 2. Recognize four key stages in project risk management and the steps necessary to manage risk. 3. Understand five primary causes of project risk and four major approaches to risk identification. 4. Recognize four primary risk mitigation strategies. 5. Explain the Project Risk Analysis and Management (PRAM) process.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Plan Risk Management (PMBoK sec. 11.1) 2. Identify Risks (PMBoK sec. 11.2) 3. Perform Qualitative Risk Analysis (PMBoK sec. 11.3) 4. Perform Quantitative Risk Analysis (PMBoK sec. 11.4) 5. Plan Risk Responses (PMBoK sec. 11.5) 6. Control Risks (PMBoK sec. 11.6)
224 Chapter 7 • Risk Management
Project Profile
the Building that Melted cars
Driving a car in London just got a lot more dangerous. A soon-to-be-completed skyscraper in the downtown area is having an impact that no one could have imagined: It is starting fires and melting cars. The building—designed by in- ternationally renowned architect Rafael Viñoly—is a dramatic edifice with curved exterior walls. Built at 20 Fenchurch Street in London’s financial center, the 38-story skyscraper is known locally as “the Walkie-Talkie” for its unusual shape.
But that curvilinear shape is exactly what’s causing the problem: The south-facing exterior wall is covered in re- flective glass, and because it’s concave, it focuses the sun’s rays onto a small area, not unlike the way a magnifying glass directs sunbeams onto a superhot pinpoint of light.
“Fundamentally it’s reflection. If a building creates enough of a curve with a series of flat windows, which act like mirrors, the reflections all converge at one point, focusing and concentrating the light,” says Chris Shepherd, from the UK’s Institute of Physics. “It’s like starting a fire with a parabolic mirror.”
The beam caused by the curved skyscraper concentrating the sun’s rays was measured at more than 110 degrees Celsius (230 degrees Fahrenheit) in September. So far, the building has been responsible for partially destroying a parked Jaguar XJ luxury car, catching carpets on fire in nearby shops, and shattering slate tiles at local restaurants. This situation is likely to be a recurring problem for any structure built within range of the powerful reflected light coming from the building.
Because the effect is caused by the sun’s elevation in the sky at certain times of the day and during a specific time of the year, experts expect the intense light and dangerous heating effect will last about two hours a day over a period of three weeks. To help in the short term, the building’s owners have contracted with local authorities to block off a limited number of parking spaces that are right in the reflected beam’s path. Longer term solutions are more problem- atic; the design of the building will not change and of course, the sun’s path is not likely to alter in the near future!
This isn’t the first time Viñoly’s architecture has been the subject of similar controversy: His Vdara Hotel in Las Vegas has been criticized for directing sunbeams onto the swimming pool deck that are hot enough to melt plastic and singe people’s hair. The technical term for the phenomenon is a solar convergence, but the hotspot more popularly became known as the “Vdara death ray.” The Vdara resolved the “death ray” effect with larger sun umbrellas, but fixing the problem in London might take a lot more work. “There are examples in the past where an architect has had to rebuild the façade,” said Philip Oldfield, an expert in tall buildings at the University of Nottingham’s Department of Architecture. “If this is serious, then I dread to think how expensive it will be.”
Architectural critic Jonathan Glancey says the story is not unprecedented. In 2003, the opening of the Walt Disney Concert Hall in Los Angeles, designed by architect Frank Gehry, had a similar problem. “The building was clad from head to toe, right down to the pavement, in stainless steel panels, and they would send the sun dazzling across the
Figure 7.1 london’s Walkie-talkie Building
Source: Lionel Derimais/Corbis
Introduction 225
introduction
Projects operate in an environment composed of uncertainty. There is uncertainty regarding proj- ect funding, the availability of necessary resources, changing client expectations, potential techni- cal problems—the list is seemingly endless. This uncertainty forms the basis for project risk and the need to engage in risk management. risk management, which recognizes the capacity of any project to run into trouble, is defined as the art and science of identifying, analyzing, and respond- ing to risk factors throughout the life of a project and in the best interests of its objectives. The difference between projects that fail and those that are ultimately successful has nothing to do with the fact that one lacks problems the other has. The key lies in the plans that have been made to deal with problems once they arise. The Project Management Institute defines project risk as “an uncertain event or condition that, if it occurs, has a positive or negative effect on one or more project objectives such as scope, schedule, cost, or quality. A risk may have one or more causes and if it occurs, may have one or more impacts.” This definition is important because, unlike the past, when project risk was automatically assumed to lead to negative consequences, it is now recognized as the source of either opportunities or threats. As a result, whereas in the past leading project management researchers assumed that project risk was “an estimate of the probability of loss from a large population of unwanted circumstances,”2 risk in the modern sense argues that the uncertainty that exists in any project can result in either positive or negative outcomes. Project managers must acknowledge the possibility that the same risk event may bring several outcomes, of both a positive and detrimental effect on the project. Underlying these definitions is the recog- nition that many events, both within the organization and outside its control, can affect our best efforts to successfully complete projects.
Risk management consists of anticipating, at the beginning of the project, unexpected situa- tions that may arise that are beyond the project manager’s control. These situations have the capac- ity to severely undermine the success of a project. Broadly speaking, for the manager, the process of risk management includes asking the following questions:
• What is likely to happen (the probability and impact)? • What can be done to minimize the probability or impact of these events? • What cues will signal the need for such action (i.e., what clues should I actively look for)? • What are the likely outcomes of these problems and my anticipated reactions?
This chapter will explore the concept of project risk management in detail. We will address some of the principal sources of uncertainty, and hence risk, in projects. The chapter will also provide infor- mation on identifying the key steps to consider in formulating project risk management processes, methods for assessing risk impact, and processes for mitigating negative effects.
Project risk is based on a simple equation:
Event Risk = (Probability of Event) (Consequences of Event)
In other words, all risks must be evaluated in terms of two distinct elements: the likelihood that the event is going to occur as well as the consequences, or effect, of its occurrence. The risk of a project manager in your company being struck by lightning on the way to work would clearly constitute a high level of consequence to the project, but the probability of such an occurrence is sufficiently low to minimize your need to worry about it. On the other hand, people do change jobs, so an
sidewalks to hotspots where people were. It was measured up to 60C (140F). Local people living there complained they were having to crank their air conditioning up to maximum to cool things down,” he says. Blinding glare also affected drivers passing the building. After computer models and sensor equipment identified the panels causing the problem, they were sanded down to break up the sun’s rays.
In the case of the London Walkie-Talkie building, developers could employ a number of possible solutions. “They could coat the windows to reduce reflection—which would be a cheap fix—but the downside of that is it could reduce the light entering the building. Another solution would be for them to misalign the window frames, to slightly alter them by about a millimeter, but that would be very expensive,” Chris Shepherd noted.1
226 Chapter 7 • Risk Management
event such as the loss of a key project team member midway through the development phase may have both a potentially serious impact and a high degree of probability in some organizations. Hence, in those project environments, it would be appropriate to develop mitigation strategies to address this risk, given its high likelihood of occurring and the negative consequences it would engender. For example, the project manager could develop a bonus or other incentive program to reward personnel who remain on the project team as a useful response (risk mitigation) for the potential loss of key personnel during the project.
Risk and opportunity are mirror opposites of the same coin—opportunity emerges from favorable project uncertainties and negative consequences from unfavorable events. Figure 7.2 illustrates the dynamics of risk and opportunity over the project life cycle compared to the severity of negative consequences. Early in the life of a project, both risk and opportunity are high. The concept may be thought valuable, and the opportunities are strong, as are the nega- tive risks. This result is due to the basic uncertainty early in a project’s life cycle. Until we move forward into the development phases, many unanswered questions remain, adding to overall project uncertainty. On the other hand, the severity of negative consequences (the “amount at stake”) is minimal early in the project’s life. Few resources have yet been committed to the project, so the company’s exposure level is still quite low. As the project progresses and more budget money is committed, the overall potential for negative consequences ramps up dra- matically. At the same time, however, risk continues to diminish. The project takes on a more concrete form and many previously unanswered questions (“Will the technology work?” “Is the development time line feasible?”) are finding answers. The result is a circumstance in which overall opportunity and risk (defined by their uncertainty) are dropping just as the amount the company has at stake in the project is rising.
The periods of greatest worry shown in Figure 7.2 are the execute and finish stages, at which point uncertainty is still relatively high and the amount at stake is rapidly increasing. The goal of a risk management strategy is to minimize the company’s exposure to this unpleasant combination of uncertainty and potential for negative consequences.
Total Project Life Span
Time
Major Phase 1
Major Phase 2
Major Phase 3
Major Phase 4
Conceive (C)
Develop (D)
Execute (E)
Finish (F)
D o
ll a r
v a lu
e
In c re
a s in
g r
is k
PLAN PRODUCE
Period of highest
risk impact
Com bin
ed ris
k im
pa ct
Amount a t stake
Opportunity and risk
Figure 7.2 risk Versus Amount at Stake: the challenge in risk Management
Source: R. Max Wideman. (2004). A Management Framework for Project, Program and Portfolio Integration. Victoria, BC, Canada, 2004. Copyright © 2004 by R. Max Wideman, AEW Services Vancouver, BC, Canada: Trafford Publishing. Figure from page 64. Reproduced with permission of R. Max Wideman.
Introduction 227
Box 7.1
Project Managers in Practice
Mathew Paul, General Electric Company
Mathew Paul is the Program Leader for Liquefied Natural Gas (LNG) Locomotives at GE Transportation in Erie, PA. He is currently responsible for leading the introduction of GE’s natural gas locomotives for domestic markets from the Engineering function. Mathew completed his Bachelor’s in Mechanical Engineering from The University of Kerala, India, in 1998. After a short stint at Cochin Port Trust and Lucent Technologies in India, he decided to pursue his Master’s in Mechanical Engineering at The University of Alabama, Tuscaloosa. He also holds a Master’s in Business Administration from Fogelman’s College of Business at The University of Memphis, Tennessee. He is PMP certified and a Six Sigma Green Belt.
Mathew’s career started as an Engineer at Cummins working on new internal combustion engine intro- duction projects to meet customer requirements and environmental regulations. His specific job was to identify combustion recipes and meet engine performance requirements. However, during the recession of 2008, he was given the responsibility of leading cost reductions as well as identifying profitable projects for the business. Identifying components that either need to be avoided in the engine or redesigned to gain economies of scale was not an easy task due to the wide application and customer base. Project management methodologies had to be implemented to execute the tasks and show the benefits to customers. It was in meeting these challenges that Mathew learned the art of project management and decided to switch careers to project management.
In 2010, Mathew led the introduction of a low-cost Cummins fuel injection system in China for the trucking market to capture market share and reduce dependence on other firms’ products. It was the first of its kind for Cummins Fuel Systems and the team quickly realized that a different approach was required to be successful in China. His specific tasks included managing a project comprised of people from both China and the United States in designing, developing, testing, and manufacturing the fuel system. Due to the magni- tude of the project, project management methodologies were introduced for the first time at Cummins Fuel Systems. In his words, “The main challenge was to use the data-based approach in communicating with cus- tomers, suppliers, and team members as the Chinese culture is mostly customer-centric and saying ‘no’ was never appreciated. The profit margin per unit was very low and business was based on volume. Maintaining risks—both in quality and cost—was critical for the success of the project.”
After the successful implementation of the low-cost fuel system for Cummins, Mathew moved to GE Transportation to introduce PowerHaul™ locomotives in Australia and Korea. Paul recounts, “Even though the product was similar, the challenges were different—while meeting tight schedules was critical for Australia, maintaining customer relations and the highest quality were primary requirements for Korea.” Mathew was also tasked to lead GE Transportation’s first natural gas locomotive project for domestic markets. Due to the
Figure 7.3 An example of the Next-Generation Ge locomotives that Mathew Paul Supports
Source: Sean Gallup/Getty Images
(continued )
228 Chapter 7 • Risk Management
7.1 risk ManageMent: a Four-stage Process
Systematic risk management comprises four distinct steps:
• risk identification—the process of determining the specific risk factors that can reasonably be expected to affect your project.
• Analysis of probability and consequences—the potential impact of these risk factors, deter- mined by how likely they are to occur and the effect they would have on the project if they did occur.
• risk mitigation strategies—steps taken to minimize the potential impact of those risk factors deemed sufficiently threatening to the project.
• control and documentation—creating a knowledge base for future projects based on lessons learned.
risk identification
A useful method for developing a risk identification strategy begins by creating a classification scheme for likely risks. Remember that risk implies the potential for both positive and negative effects on the project. Risks commonly fall into one or more of the following classification clusters:3
• financial risk—Financial risk refers to the financial exposure a firm opens itself to when developing a project. If there is a large up-front capital investment required, as in the case of Boeing or Airbus Industries’ development of a new airframe, the company is voluntarily assuming a serious financial risk in the project. Construction companies building structures “on spec” provide another example. Without a contracted buyer prior to the construction, these companies agree to accept significant financial risk in the hopes of selling office space or the building itself after it is completed.
• technical risk—When new projects contain unique technical elements or unproven technol- ogy, they are being developed under significant technical risk. Naturally, there are degrees of such risk; in some cases, the technical risk is minimal (modifications to an already- developed product), whereas in other situations the technical risk may be substantial. For example, Goodrich Corporation developed a modification to its electronic hoist system, used for cable hoists in rescue helicopters. Because the company had already developed the technology and was increasing the power of the lift hoist only marginally, the technical risk was considered minimal. On the other hand, the Spanish ship-builder Navantia is currently wrestling with seri- ous performance problems in its newest generation of submarine, the S-80 class, because of the decision to include too many ground-breaking technical upgrades in one ship. The problems with the S-80 are so severe that the submarine itself is considered unsafe and not ready for sea trials (see Case Study 7.2 at the end of the chapter). The greater the level of technical risk, the greater the possibility of project underperformance in meeting specification requirements.
availability of shale gas in the United States, the move to natural gas as the predominant fuel for locomo- tives seemed a logical next step. However, being a new technology, the safety of personnel and environment was considered as the paramount criteria. “The project was huge as part of my job involved coordinating the work of 250 people from five different countries with an initial investment of over $70 million dollars. We constructed and followed risk analysis and risk mitigation plans that had to be constantly updated—pretty much every day—due to the nature of the project. The project was capital intensive and eagerly awaited by customers, government, and competitors.”
Mathew recollects that every project to date had been different and that makes it critical to follow a project management methodology for standard guidelines. He notes that planning is critical for the success of the project and executing the plan is essential; however, the key for any project manager is to have a “sixth” sense about potential risks and be able to respond to it at the earliest. Even with these challenges, the final outcome for any project manager is very fulfilling. “When the first natural gas locomotive was cranked and pulled the load at the desired speed, my eyes watered with joy. I got to experience several firsts in my life. When the first Cummins Tier 3 19L engine was rolled out of their Seymour engine plant, when the first fuel system rolled out of Cummins Wuhan plant, and when the first PowerHaul™ GE engine was unveiled at the customer property in Australia, to cite a few.” As Paul has found, that is the moment when years of hard work, volumes of documentation, and hours of meeting converge and only a project manager can envision the final product and strive towards attaining the same on a daily basis.
7.1 Risk Management: A Four-Stage Process 229
• commercial risk—For projects that have been developed for a definite commercial intent (profitability), a constant unknown is their degree of commercial success once they have been introduced into the marketplace. Commercial risk is an uncertainty that companies may will- ingly accept, given that it is virtually impossible to accurately predict customer acceptance of a new product or service venture.
• execution risk—What are the specific unknowns related to the execution of the project plan? For example, you may question whether geographical or physical conditions could play a role. For example, developing a power plant on the slopes of Mount Pinatubo (an active volcano) in the Philippines would involve serious execution risks! Likewise, poorly trained or insufficient project team personnel might constrain project execution. Execution risk is a broad category that seeks to assess any unique circumstances or uncertainties that could have a negative impact on execution of the plan.
• contractual or legal risk—This form of risk is often consistent with projects in which strict terms and conditions are drawn up in advance. Many forms of contracted terms (e.g., cost- plus terms, fixed cost, liquidated damages) result in a significant degree of project risk. Companies naturally seek to limit their legal exposure through legal protection, but it is sometimes impossible to pass along contractual risk to other parties. For example, most U.S. railroads will not accept penalty clauses for late deliveries of components because they have an almost monopolistic control of the market. Therefore, organizations utilizing rail transpor- tation must accept all delivery risk themselves.
After understanding the broad categories of risk, you want to anticipate some of the more common forms of risk in projects. The following list, though not inclusive, offers a short set of some of the more common types of risk to which most projects may be exposed:
• Absenteeism • Resignation • Staff being pulled away by management • Additional staff/skills not available • Training not as effective as desired • Initial specifications poor or incomplete • Work or change orders multiplying due to various problems • Enhancements taking longer than expected
Although the broad categories and common types of risk in the preceding lists are both good starting points, you also need to consider common industry-specific risks that run across different types of projects in the specific field in which you are working. A number of methods, both quali- tative and quantitative, are available for conducting risk factor identification for industry-specific risks, including:
• Brainstorming meetings—Bringing the members of the project team, top management, and even clients together for a brainstorming meeting can generate a good list of potential risk factors. Brainstorming is a qualitative idea-creation technique, not one focused on decision making. In order to be effective, brainstorming meetings must be free of judgments, criticism of others’ viewpoints, and pressure to conform. A mini-scenario of risk management is at work. Think about it: Would you be willing to place your most creative ideas on the table in front of 10 other people if you were at risk of being immediately critiqued? Or might you be tempted to hold an idea for later if your boss required that you present it in a fully developed way? In short, the brainstorming environment needs to be made safe for the risk-averse.
• Expert opinion—This technique can be used in two alternative ways in assessing project risks. The more quantifiable method, commonly referred to as the Delphi approach, collects and consolidates the judgments of isolated anonymous respondents. For Delphi to be used effec- tively, some preliminary screening of potential contributors is usually necessary. The collec- tive “wisdom” of the set of experts is then used as the basis for decision making. The simpler, more intuitive method for using expert judgments is based on the principle that “experience counts.” You simply identify and consult people within the organization who have had simi- lar experiences in running projects in the past or who have been with the firm long enough to have a clear grasp of the mechanics of project risk analysis. As obvious as this may seem, this opportunity may not be clear to everyone, particularly if management shifts recently have taken place in a firm or if new employees are not aware of the firm’s project history.
230 Chapter 7 • Risk Management
• History—In many cases the best source of information on future risks is history. Has a firm encountered a consistent pattern of problems while pursuing projects over time? What “storm signals,” or events that have preceded past problems, have been detected? Experience can be used to identify not only risk factors but their leading indicators as well. The problem with experience is that it is no guarantee of future events. The issues or conditions that con- tributed to project risk in the past decade, year, or even month may not be relevant to current market conditions or the state of project work as it is now being conducted. Hence, history can be useful for identifying key project risk factors provided all parties employ a reason- able degree of caution when evaluating current projects through the portal of past events. Rauma Corporation of Finland, for example, developed state-of-the-art logging equipment that worked well in locations with good infrastructure to allow for frequent servicing. When it attempted to use the equipment in remote rain forest regions of Indonesia, however, the company found it had not anticipated the problems involved in routine servicing, includ- ing having to fly the machinery hundreds of miles out of the forests to servicing centers. Experience had not prepared the company for new risks.
• Multiple (or team-based) assessments—Using single-case sources to identify project risks is itself a risky proposition because of the potential bias in any one person’s viewpoint.4 It makes sense that no one individual, regardless of her perceived degree of expertise, can possibly discern all sources of threat and project risk. Although an engineer is likely to be more attuned to technical risks, a cost accountant to budgetary risks, and so forth, not even the most seasoned manager with experience in many fields is all-knowing. A team-based approach to risk factor identification encourages identification of a more comprehensive set of potential project risks. At the same time, a collaborative approach can help persuade the half-convinced or uncommitted members of the team to support project goals.5
Project Profile
Bank of America completely Misjudges its customers
When Bank of America (BofA) decided it would begin to charge customers $5 per month in 2012 just to gain access to their funds via their debit cards, it was unprepared for a response that was far more hostile than it could have imagined. After announcing the new fee in late September 2011, the giant bank anticipated some negative reaction from its customers but thought that after an initial angry response, most would fall in line and grudgingly accept the fee. Perhaps BofA felt secure due to the initial decision by some of its largest competitors, including Wells Fargo, SunTrust, and JPMorgan Chase, to mirror the fees. If BofA thought “might made right,” it was in for a giant surprise.
The announcement of a pending new charge just to allow customers to use their debit cards led to massive consumer anger directed at the bank and a pledge that the new fees would not be accepted. These informal protests were galvanized and given a degree of organization by the creation of several viral Internet and Facebook sites to support two major dates in November 2011: “Bank Transfer Day” (November 5) and “Dump your Bank Day” (November 8). Wells Fargo, SunTrust, and JPMorgan Chase banks all dropped their fee-charging plan in the face of these gathering protests, leaving BofA standing alone and continuing to assert its intention of charg- ing the debit card fee. By October 2011, a poll by TheStreet showed a whopping 83% of BofA customers said they would indeed take the time out of their busy schedules and dump BofA. Contributing to the poor timing of the BofA announcement was the continuation of the “Occupy Wall Street” protests against financial institutions. Seen in this light, the timing of BofA’s decision could not have been worse.
Belatedly realizing its mistake, BofA announced on November 1, 2011, that it was cancelling the $5 debit card fee. Although it is uncertain how many customers BofA lost as a result of this misguided decision, there is no doubt that it sacrificed a huge amount of customer goodwill. In a recession, when Americans were carefully watching their spending, BofA’s decisions made no sense. Charging $5 to be allowed to use your own money angered too many and the announce- ment to drop the charge came too late, causing people to bail on BofA.6
7.1 Risk Management: A Four-Stage Process 231
risk Breakdown structures
In identifying and categorizing various project risks, one useful tool is the risk Breakdown structure (RBS). An RBS is defined as “a source-oriented grouping of project risks that organizes and defines the total risk exposure of the project.”7 Remember in Chapter 5 that we developed the Work Breakdown Structure (WBS) as a means to hierarchically organize and define the various elements of the project scope by breaking up the deliverables into increasingly distinct elements, known as work packages. An RBS employs a similar approach; however, in this case, our goal is to create a hierarchical representation of the project’s risks, starting at the higher, general level and breaking the risks down to more specific risks at lower levels. For example, at the highest level, you have both external and internal risks. Specifying more closely, you may identify “Market risks,” “Technical risks,” “Environmental Impact risks,” and “Quality risks” as second level categories. From this first level, your project team breaks out the specific types of risk associated with each of these broader concepts. Figure 7.4 gives an example of an RBS for this hypothetical project. Moving down to more specific risks, we can further classify “Market Risks” as consisting of customer acceptance and profit potential. Likewise, for “Environmental Impact,” we have identified two specific risks: pollution risks and community protest potential. A similar de-classification can be conducted across each broader category of project risk. You can see that the advantage of the RBS is that it provides the project team with a visual representation of the critical risks for their project, as well as highlighting the specific components of these risks. This identification method helps with the next step in project risk management: the analysis of probability and consequences associated with each risk.8
analysis of Probability and consequences
The next step in the process consists of trying to attach a reasonable estimate of the likelihood of each of these risk events occurring. We can construct a risk impact matrix similar to the one shown in Figure 7.5.9 The matrix reflects all identified project risks, each prioritized according to the probability of its occurrence, along with the potential consequences for the project, the project
External
Internal
Performance
Level 1 Level 2 Level 3
Market
Environmental Impact
Technical
Organizational
Profit Potential
Customer Acceptance
Community Protests
Pollution Risk
Skilled Resources
Funding Safety
Figure 7.4 risk Breakdown Structure (rBS)
Once the process of risk factor analysis is complete and the variety of circumstances or sources of risk have been uncovered, an assessment of potential risk impact can be undertaken.
232 Chapter 7 • Risk Management
team, or the sponsoring organization should the worst come to pass. Probability combined with consequences provides a sense of overall risk impact. With such a prioritization scheme, the project team is better able to focus their attention where their energy can do the most good.
Figure 7.6 shows a risk impact matrix in use by several Fortune 500 companies. Note that instead of a high-low classification, this alternative one features three levels: high, medium, and low. This matrix is further refined by classifying risk impact as either serious, moderate, or minor. The fundamental reason for employing this more complete matrix is to develop a sense of priority in addressing the various risks.
After a project team has worked through and completed a detailed matrix, it is better equipped to recognize the sorts of risks to which the project is subject and the “criticality” of each of those risks in terms of their potential impact on project performance. Clearly, the types of risks that are most relevant to project planning are those that the team classifies as having both high likelihood of occurring (probability) and high potential for harming the project (impact). Risks that fall into this category require detailed contingency planning in order to adequately protect the project’s devel- opment cycle. Figure 7.6 shows how projects might be classified on the basis of their potential risk impact. The team first identifies the risk factors and then evaluates their impact using the matrix. You can see how the high-low-moderate classification scheme plays out in this example.
It is also useful to revisit our earlier point about the potential opportunities that may emerge from the uncertainty of project risk. That is, when analyzing the probability and consequences of risk events, we should include, as part of our calculation, the ways in which these uncertainties can
Consequences
Low Medium High
D
B
C A
L ik
e li
h o
o d
H ig
h L
o w
M e d
iu m
Figure 7.6 classifying Project risks
Consequences
Low High
L ik
e li
h o
o d
H ig
h L
o w
Figure 7.5 risk impact Matrix
7.1 Risk Management: A Four-Stage Process 233
open up opportunities for the organization. For example, if our project team identifies several project risks (market, technical, political, etc.), brainstorming sessions can help us determine if these risks are distinctly negative or if they open up the possibility of finding innovative, win-win solutions by transforming them into opportunities. For example, a firm may have concern about the risk from possible governmental regulations regarding reducing greenhouse gases to slow man-made climate change. These concerns can lead a firm to adopt one of two actions: (1) defensive— employing lob- byists to try and derail the legislation to maintain business as usual, or (2) opportunistic— getting out ahead of the regulations by challenging business units to start employing nontraditional, sus- tainable solutions to technical challenges, leading to new products or processes that they can market to other firms facing similar challenges. As a result, part of our analysis of risk probability conse- quences should always take into consideration both negative and positive consequences.
Table 7.1 illustrates this quantitative method using the example of a firm developing a new software product for the retail market. The scenario considers both probability of failure and con- sequences of failure. In probability of failure, we are interested in identifying any factors that can significantly affect the probability that the new prject can be successfully completed. Think of this category as requiring us to focus on the potential causes of failure. For the example in this section, let us assume that the issues identified as potential contributors are (1) maturity of the soft- ware design—is it a new product or based on an existing software platform? (2) complexity of the
taBle 7.1 Determining likely risks and consequences
Probability of failure (Pf)
Score Maturity complexity Dependency
Low (0.1) Existing software Simple design Not limited to existing system or clients. No external or uncontrollable events are likely to have an impact on the project.
Minor (0.3) Minor redesign Minor increase in complexity
Schedule or performance depends on an existing system. Effect on cost or schedule is minor.
Moderate (0.5) Major change Moderate increase Moderate risk to schedule or performance due to dependence on existing system, facility, or processes. Effect on cost is moderate.
Significant (0.7) Technology is available, but complex design
Significant increase Schedule or performance depends on new system or process. Significant cost or schedule risk.
Major (0.9) State of art, some research complete
Extremely complex Schedule and performance depend on new system and process. Very high cost or schedule risk.
consequence of failure (Cf)
Score cost Schedule reliability Performance
Low (0.1) Budget estimate not exceeded
Negligible impact on program, no impact on critical path
Minimal or no reliability consequence
Minimal or no performance consequence.
Minor (0.3) Cost estimate exceeds budget by < 5%
Minor slip in schedule (less than 5%)
Small reduction in reliability
Small reduction in system performance.
Moderate (0.5) Cost estimate exceeds budget by < 15%
Small slip in schedule starting to impact critical path
Some reduction in reliability
Some reduction in system performance. May require moderate debugging.
Significant (0.7) Cost estimate exceeds budget by < 30%
Development time slips in excess of 1 month, requires readjustment of critical path
Significant degradation in reliability
Significant degradation in system performance. Guarantees are at risk. Serious debugging required.
Major (0.9) Cost estimate exceeds budget by > 50%
Large schedule slips ensure the system will miss client time frame
Reliability goals cannot be achieved under current plan
Performance goals cannot be achieved. Results may not be usable.
234 Chapter 7 • Risk Management
product—is the design relatively simple or is it highly complex in structure? and (3) dependency— can the product be developed independently of any system currently in place in the company or is it tied to current operating systems or practices? A number of factors can have an impact on the probability of a new project’s successful completion. Although our example identifies three (matu- rity, complexity, and dependency), depending upon the project, a team may identify many unique issues or factors that will increase the probability of failure.
Under the dimension of consequences of failure, we are concerned with the issues that will highlight the effects of project failure. The consequences of failure require us to critically evaluate the results of a project’s success or failure along a number of key dimensions. For this example, the organization has identified four elements that must be considered as critical effects of project failure: (1) cost—budget adherence versus overruns, (2) schedule—on time versus severe delays, (3) reliability—the usefulness and quality of the finished product, and (4) performance—how well the new software performs its designed functions. As with items shown under probability of fail- ure, the set of issues related to the consequences of failure that should be clearly identified will be unique to each project.
Table 7.2 demonstrates the process of creating a project risk score. The scores for each indi- vidual dimension of probability and consequence are added and the sum is divided by the num- ber of factors used to assess them. For example, under probability of failure, the scores of the three assessed elements (maturity, complexity, and dependency) are totaled to derive an overall score, and that number is divided by 3 to arrive at the probability score. This table shows the overall risk factor formula for the sample project, based on the quantitative assessment. A common rule of thumb assigns any project scoring below .30 as “low risk,” projects scoring between .30 and .70 as “medium risk,” and projects scoring over .70 as “high risk.”
risk Mitigation strategies
The next stage in risk management is the development of effective risk mitigation strategies. In a general sense, there are four possible alternatives a project organization can adopt in deciding how to address risks: (1) accept risk, (2) minimize risk, (3) share risk, or (4) transfer risk.
accePt risk One option that a project team must always consider is whether the risk is suffi- ciently strong that any action is warranted. Any number of risks of a relatively minor nature may be present in a project as a matter of course. However, because the likelihood of their occurrence is so small or the consequences of their impact are so minor, they may be judged acceptable and ignored. In this case, the decision to “do nothing” is a reasoned calculation, not the result of inat- tention or incompetence. Likewise, for many types of projects, certain risks are simply part of the equation and must be factored in. For example, it has been estimated that the U.S. recording
taBle 7.2 calculating a Project risk factor
1. Use the project team’s consensus to determine the scores for each Probability of Failure category: Maturity (Pm), Complexity (Pc), Dependency (Pd).
2. Calculate Pf by adding the three categories and dividing by 3:
Pf = (Pm + Pc + Pd)>3 3. Use the project team’s consensus to determine the scores for each Consequence of Failure category:
Cost (Cc), Schedule (Cs), Reliability (Cr), Performance (Cp). 4. Calculate Cf by adding the four categories and dividing by 4:
Cf = (Cc + Cs + Cr + Cp)>4 5. Calculate Overall Risk Factor for the project by using the formula:
RF = Pf + Cf - (Pf)(Cf) rule of thumb:
Low risk RF 6 .30 Medium risk RF = .30 to .70
High risk RF 7 .70
7.1 Risk Management: A Four-Stage Process 235
industry spends millions every year in developing, producing, and promoting new recording art- ists, knowing full well that of the thousands of albums produced every year, less than 5% are profitable.10 Likewise, Chapter 3 detailed the extraordinary lengths that pharmaceutical manu- facturers must go to and the high percentage of failures they accept in order to get a small per- centage of commercially successful drugs to the marketplace. Hence, a high degree of commercial risk is embedded in the systems themselves and must be accepted in order to operate in certain industries.
MiniMize risk Strategies to minimize risk are the next option. Consider the challenges that Boeing Corporation faces in developing new airframes, such as the newly introduced 787 model. Each aircraft contains millions of individual parts, most of which must be acquired from ven- dors. Further, Boeing has been experimenting with the use of composite materials, instead of aluminum, throughout the airframe. The risks to Boeing in the event of faulty parts leading to a catastrophic failure are huge. For example, several early flights were plagued by meltdowns in the aircraft’s lithium ion batteries, manufactured in Japan by GS Yuasa. Consequently, the process of selecting and ensuring quality performance from vendors is a challenge that Boeing takes extremely seriously. One method Boeing employs for minimizing risk in vendor quality is to insist that all significant vendors maintain continuous direct contact with Boeing quality assessment teams. Also, in considering a new potential vendor, Boeing insists upon the right to intervene in the vendor ’s production process in order to ensure that the resulting quality of all supplier parts meets its exacting standards. Because Boeing cannot produce all the myriad parts needed to fabricate an aircraft, it seeks to minimize the resultant risk by adopting strategies that allow it to directly affect the production processes of its suppliers.
share risk Risk may be allocated proportionately among multiple members of the project. Two examples of risk sharing include the research and development done through the European Space Agency (ESA) and the Airbus consortium. Due to tremendous barriers to entry, no one country in the European Union has the capital resources and technical skills to undertake the development of the Ariane rocket for satellite delivery or the creation of a new airframe to compete with Boeing in the commercial aircraft industry. ESA and Airbus partners from a number of countries have jointly pooled their resources and, at the same time, agreed to jointly share the risk inherent in these ventures.
In addition to partnerships that pool project risk, ameliorating risk through sharing can be achieved contractually. Many project organizations create relationships with suppliers and cus- tomers that include legal requirements for risk to be shared among those involved in the project. Host countries of large industrial construction projects, such as petrochemical or power generation facilities, have begun insisting on contracts that enforce a “Build-Own-Operate-Transfer” provision for all project firms. The lead project organization is expected to build the plant and take initial ownership of it until its operating capacity has been proven and all debugging occurs before finally transferring ownership to the client. In this way, the project firm and the host country agree to jointly accept financial (risk) ownership of the project until such time as the project has been completed and its capabilities proven.
transFer risk In some circumstances, when it is impossible to change the nature of the risk, either through elimination or minimization, it may be possible to shift the risks bound up in a project to another party. This option, transferring risk to other parties when feasible, acknowledges that even in the cases where a risk cannot be reduced, it may not have to be accepted by the project organization, provided that there is a reasonable means for passing the risk along. Companies use several methods to transfer risks, depending upon their power relative to the client organizations and the types of risks they face. For example, if our goal is to prevent excessive budget overruns, a good method for directly transferring risk lies in developing fixed-price contracts. fixed-price contracts establish a firm, fixed price for the project upfront; should the project’s budget begin to slip, the project organization must bear the full cost of these overruns. Alternatively, if our goal is to ensure project functionality (quality and performance), the concept of liquidated damages offers a way to transfer risk through contracts. liquidated damages represent project penalty clauses that kick in at mutually agreed-on points in the project’s development and implementation. A project organization installing a new information system in a large utility may, for example, agree to a
236 Chapter 7 • Risk Management
liquidated damages clause should the system be inoperable after a certain date. Finally, insurance is a common option for some organizations, particularly in the construction industry. Used as a risk mitigation tool, insurance transfers the financial obligation to an insuring agency.
use of contingency reserves
contingency reserves in several forms, including financial and managerial, are among the most common methods to mitigate project risks. They are defined as the specific provision for unfore- seen elements of cost within the defined project scope. Contingency reserves are viewed differ- ently, however, depending upon the type of project undertaken and the organization that initiates it. In construction projects, it is common to set aside anywhere between 10% and 15% of the con- struction price in a contingency fund. A contract to construct a $5 million building will actually be built to the cost of approximately $4.5 million, with the balance retained for contingency. In other fields, however, project teams are much more reluctant to admit to the up-front need for establish- ing contingency reserves, fearing that customers or other project stakeholders will view this as a sign of poor planning or inadequate scope definition (see Chapter 5).
The best way to offset concerns about the use of contingency reserves is to offer documenta- tion of past risk events—unforeseen or uncontrollable circumstances that required the need for such contingency planning. Some of the concerns that might be generated may also be offset if the project team has done its homework and demonstrated in a detailed plan how contingency funds will be released as they are needed. Since the goal of creating contingency funds is to ensure against unforeseen risks, the key to their effective use lies in proactive planning to establish reason- able triggers for their release.11
task contingency Perhaps the most common form of contingency reserve is task contingency, which is used to offset budget cutbacks, schedule overruns, or other unforeseen circumstances accruing to individual tasks or project work packages. These budget reserves can be a valuable form of risk management because they provide the project team with a buttress in the face of task completion difficulties. It may be found, for example, that some components or work packages of the project are highly unique or innovative, suggesting that development estimates and their related costs cannot be estimated with anything less than a bound of {20% or even greater. Hence, task contingency becomes extremely important as a method for offsetting the project team’s inabil- ity to make an accurate budget estimate.
exaMPle 7.1 Calculating Contingency Expected Cost
Suppose a project task is estimated to cost $10,000 to complete, but it is viewed as a high-risk operation. A task contingency multiplier would require our budget to reflect the following:
(Task estimated cost)(Task contingency multiplier) = Expected cost 1+10,0002 11.22 = +12,000
Naturally, as the project moves forward, it may be possible to reduce budget reserve requirements for task contingency because the project’s scope will have been made clearer and its development will have progressed; that is, many of the tasks for which the contingency fund was established will have been completed. As a result, it is quite common for project organizations to assign a bud- get reserve to a project that is diminished across the project’s development cycle.
Managerial contingency While task contingency may involve the risk associated with the development of individual work packages or even tasks, managerial contingency is an additional safety buffer applied at the project level. Managerial contingency is budget safety measures that address higher-level risks. For example, suppose a project team has begun development of a new wireless communication device set to operate within guidelines established for technical perfor- mance. At some point in the midst of the development process, the primary client requests major
7.1 Risk Management: A Four-Stage Process 237
scope changes that will dramatically alter the nature of the technology to be employed. Managerial contingency typically is used as a reserve against just such a problem. Another way managerial contingency may be used is to offset potentially disastrous “acts of God,” which are natural disas- ters that, by definition, are unforeseeable and highly disruptive.
One final point about budget reserves at either the task or managerial level: It is extremely important that open channels of communication be maintained between top management and the project manager regarding the availability and use of contingency reserve funds. Project managers must be fully aware of the guidelines for requesting additional funding and how extra project budget is to be disbursed. If either the project manager or top management group uses contingency reserves as a political tool or method for maintaining control, the other party will quickly develop an attitude of gamesmanship toward acquiring those reserves. In this case, the atmosphere and communications between these key stakeholders will become characterized by distrust and secrecy—two factors guaranteed to ensure that a project is likely to fail.
insurance insurance can be a useful means for risk mitigation, particularly in certain types of projects, such as construction. Risks in construction go beyond technical risks or monetary/ commercial risks to include health and safety concerns. Not all organizations or countries enforce the same rules regarding occupational health and safety standards. For example, there are countries in the developing world that do not require (or enforce) the use of safety har- nesses for workers on skyscrapers, even though a fall would be fatal. Contractors acquire insur- ance as a means to offset the risks from the project that are often covered under contractual terms. For example, a construction contractor will routinely acquire insurance against loss or theft of building materials, workers’ compensation, and professional or general liability. One of the duties of project managers in these settings is to ensure that all certificates of compliance are up to date; that is, all necessary insurance has been acquired and is valid for the life of the project to mitigate against potential risks.
other Mitigation strategies
In addition to the set of mitigation strategies already discussed, many organizations adopt practi- cal approaches to minimizing risk through creating systems for effectively training all members of their project teams. One successful method for dealing with project risks involves mentoring new project managers and team members. In a mentoring program, junior or inexperienced project personnel are paired with senior managers in order to help them learn best practices. The goal of mentoring is to help ease new project personnel into their duties by giving them a formal con- tact who can help clarify problems, suggest solutions, and monitor them as they develop project skills. Another method for mitigating risks involves cross-training project team personnel so that they are capable of filling in for each other in the case of unforeseen circumstances. Cross-training requires that members of the project team learn not only their own duties but also the roles that other team members are expected to perform. Thus, in the case where a team member may be pulled from the project team for an extended period, other team members can take up the slack, thereby minimizing the time lost to the project’s schedule.
control and documentation
Once project risk analysis has been completed, it is important to begin developing a report- ing and documentation system for cataloging and future reference. Control and documentation methods help managers classify and codify the various risks the firm faces, its responses to these risks, and the outcome of its response strategies. Table 7.3 gives an example of a simpli- fied version of the risk management report form that is used in several organizations. Managers may keep a hard-copy file of all these analyses or convert the analyses to databases for better accessibility.
Having a repository of past risk analysis transactions is invaluable, particularly to novice project managers who may recognize the need to perform risk management duties but are not sure of the best way to do them or where to begin. The U.S. Army, for example, has invested sig- nificant budget and time in creating a comprehensive database of project risk factors and their mitigation strategies as part of project management training for their officers. Newly appointed
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officers to Army procurement and project management offices are required to access this informa- tion in order to begin establishing preliminary risk management strategies prior to initiating new programs. Figure 7.7 illustrates a contingency document for adjustments to the project plan.
Establishing change management as part of risk mitigation strategies also requires a useful documentation system that all partners in the project can access. Any strategy aimed at minimizing
taBle 7.3 Sample risk Management report form
Customer: __________________________________________ Project Name: _______________________________
Budget Number: _____________________________________ Project Team: _______________________________
Date of Most Recent Evaluation: _____________________________________________________________________
Risk Description: _____________________________________________________________________________________
__________________________________________________________________________________________________
__________________________________________________________________________________________________
__________________________________________________________________________________________________
Risk Assessment: _____________________________________ Risk Factor: __________________________________
Discussion: _______________________________________________________________________________________
__________________________________________________________________________________________________
__________________________________________________________________________________________________
Risk Reduction Plan: _________________________________ Owner: _______________________________________
__________________________________________________________________________________________________
Time Frame to Next Assessment: ___________________________________________________________________
Expected Outcome: _______________________________________________________________________________
__________________________________________________________________________________________________
__________________________________________________________________________________________________
Probable Event
Adjustment to Plans
Absenteeism
Resignation
Pull-aways
Unavailable staff/skills
Spec change
Added work
Need more training
Vendors late
Figure 7.7 contingency Document for Adjustments to Project Plan
7.1 Risk Management: A Four-Stage Process 239
a project risk factor, along with the member of the project team responsible for any action, must be clearly identified. The sample risk management report form shown in Table 7.3 includes the important elements in such change management. In order to be effective, the report must offer a comprehensive analysis of the problem, the plan for its minimization, a target date, and the expected outcome once the mitigation strategy has been implemented. In short, as a useful control document, a report form has to coherently identify the key information: what, who, when, why, and how.
• What—Identify clearly the source of risk that has been uncovered. • Who—Assign a project team member direct responsibility for following this issue and main-
taining ownership regarding its resolution. • When—Establish a clear time frame, including milestones if necessary, that will determine
when the expected mitigation is to occur. If it is impossible to identify a completion date in advance, then identify reasonable process goals en route to the final risk reduction point.
• Why—Pinpoint the most likely reasons for the risk; that is, identify its cause to ensure that efforts toward its minimization will correspond appropriately with the reason the risk emerged.
• How—Create a detailed plan for how the risk is to be abated. What steps has the project team member charted as a method for closing this particular project “risk window”? Do they seem reasonable or far-fetched? Too expensive in terms of money or time? The particular strategy for risk abatement should, preferably, be developed as a collaborative effort among team members, including those with technical and administrative expertise to ensure that the steps taken to solve the problem are technically logical and managerially possible.
Documentation of risk analysis such as is shown in Table 7.3 and Figure 7.7 represents a key final component in the overall risk management process.
Project Profile
collapse of Shanghai Apartment Building
The science and engineering principles surrounding the construction of simple apartment blocks are well known and have been practiced for centuries. And yet, even in the most basic of construction projects, events can sometimes tran- spire to produce shocking results. Just such a story occurred in late June of 2009 in China, when a Shanghai high-rise, 13-story apartment building literally toppled onto its side. The nearly completed structure was part of an 11-building apartment complex in a new development known as “Lotus Riverside.” Because the 629-unit apartment building was not yet completed, it was virtually empty. Although one worker was killed in the accident, the tragedy could have been far worse had the building been fully occupied.
Figure 7.8 Shanghai Apartment Building collapse
Source: Imago stock&people/Newscom
(continued)
240 Chapter 7 • Risk Management
Foundation
Removed dirt
Underground garage
Concrete pilings
5 m
10 m
Figure 7.9 Schematic of causes of collapse
The demand for affordable housing in Chinese cities has never been greater. With the economy humming along and a high demand for workers in economic regions such as Shanghai, there is a critical shortage of available housing. Private and governmental organizations are working to rapidly install new apartment blocks to keep up with this huge demand. Unfortunately, one of the risks with rapid building is the temptation to cut corners or use slipshod methods. When speed is paramount, the obvious concern is whether acceptable standards of building are being maintained.
In the Lotus Riverside building project, unfortunately, the construction firm opted for a procedure that is gener- ally frowned upon (indeed, the method is outlawed in Hong Kong due to its inherent riskiness). Under this system, rather than pour a deep concrete base on which to rest the structure, a series of prestressed, precast concrete pilings were used as a set of anchors to “pin” the building into the ground. Although this system can work effectively with shorter buildings, it has long been considered unsafe for larger, higher structures.
The problem was made critical when the construction crews began digging an underground garage on the south side of the building to a depth of nearly 5 meters. The excavated dirt was piled on the north side of the building to a height of 10 meters. The underground pilings began receiving severe lateral pressure from the excavation, which was further compromised by heavy rainstorms. The storms undermined the apartment building on the south side, causing more soil erosion and putting even greater lateral pressure (estimated at 3,000 tons) on the anchor piling system (see Figure 7.9). Suddenly, the pilings began snapping and the building toppled over on its side. Local officials noted that the only lucky result of the collapse was that the building fell into an empty space. Considering that all the buildings in the complex had been constructed in a similar manner, there was a very real possibility of creating a chain reaction of toppling buildings, much like a set of dominos falling over.
The Chinese government immediately began to aggressively trace the cause of the collapse, question- ing the private contractor’s use of unskilled workers, questionable construction practices, and overall quality control. China’s official news agency, Xinhua, said officials were taking “appropriate control measures” against nine people, including the developer, construction contractor, and supervisor of the project, after it was reported that the company’s construction license had expired in 2004. Although it is certain that penalties will be imposed for the building failure, a less certain future awaits the tenants of the other buildings in the complex. After all, what more visible evidence could there be of the unsoundness of the construction in the complex than seeing a “sister building” lying on its side not far from the other structures? Hundreds of prospective tenants have besieged government offices, demanding refunds for apartments in the same complex that they purchased for upward of $60,000 but are now too frightened to live in.
Meanwhile, China Daily, the state-run newspaper, published an angry editorial blaming the collapse on the often corrupt relationship between Chinese property developers and local government officials who depend on property taxes and land sales for a significant proportion of their income. The paper raised fears—expressed by some construction industry insiders in China—that many buildings designed to have a 70-year life span “would not stand firm beyond 30 to 40 years” because of corner-cutting during China’s rampant construction boom. “It is ironic that such an accident happened in Shanghai—one of the most advanced and international Chinese cities,” the paper concluded. “The sheer fact that such a collapse occurred in the country’s biggest metropolis should serve as warning to all developers and the authorities to ensure that construction projects do not cut corners and endanger people’s lives.”12
7.2 Project Risk Management: An Integrated Approach 241
7.2 Project risk ManageMent: an integrated aPProach
The European Association for Project Management has developed an integrated program of risk management, based on efforts to extend risk management to cover a project’s entire life cycle. This program, known as Project risk Analysis and Management (PrAM), presents a generic methodology that can be applied to multiple project environments and encompasses the key components of project risk management.13 The ultimate benefit of models such as PRAM is that they present a systematic alternative to ad hoc approaches to risk assessment, and hence can help organizations that may not have a clearly developed, comprehen- sive process for risk management and are instead locked into one or two aspects (e.g., risk identification or analysis of probability and consequences). The PRAM model offers a step- by-step approach to creating a comprehensive and logically sequenced method for analyzing and addressing project risk.
Among the key features of the PRAM methodology are the following:
• The recognition that risk management follows its own life cycle, much as a project follows a life cycle. Risk management is integrated throughout the project’s entire life cycle.
• The application of different risk management strategies at various points in the project life cycle. The PRAM approach tailors different strategies for different project life cycle stages.
• The integration of multiple approaches to risk management into a coherent, synthesized approach. PRAM recommends that all relevant risk management tools be applied as they are needed, rather than in a “pick-and-choose” approach.
Each of the nine phases in the PRAM approach is based on a specific purpose and requires the completion of a comprehensive set of targets (deliverables). Completing PRAM gives the project team a template for getting the most out of risk management and helps them sharpen their efforts in the most productive manner. It also creates a document for merging risk management with overall project planning, linking them in a collaborative sense.
The nine phases of a comprehensive project risk assessment include the following steps:
1. Define—Make sure the project is well defined, including all deliverables, statement of work, and project scope.
2. Focus—Begin to plan the risk management process as a project in its own right, as well as determining the best methods for addressing project risk, given the unique nature of the proj- ect being undertaken.
3. Identify—Assess the specific sources of risk at the outset of the project, including the need to fashion appropriate responses. This step requires that we first search for all sources of risk and their responses and then classify these risks in some manner to prioritize or orga- nize them.
4. Structure—Review and refine the manner in which we have classified risks for the project, determine if there are commonalities across the various risks we have uncovered (suggesting common causes of the risks that can be addressed at a higher level), and create a prioritiza- tion scheme for addressing these risks.
5. Clarify ownership of risks—Distinguish between risks that the project organization is willing to handle and those that the clients are expected to accept as well as allocate responsibility for managing risks and responses.
6. Estimate—Develop a reasonable estimate of the impacts on the project of both the identified risks and the proposed solutions. What are the likely scenarios and their relative potential costs?
7. Evaluate—Critically evaluate the results of the estimate phase to determine the most likely plan for mitigating potential risks. Begin to prioritize risks and the project team’s responses.
8. Plan—Produce a project risk management plan that proactively offers risk mitigation strate- gies for the project as needed.
9. Manage—Monitor actual progress with the project and associated risk management plans, responding to any variances in these plans, with an eye toward developing these plans for the future.
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Table 7.4 shows a generic risk management process following the PRAM methodology. At each of the risk management phases, specific project deliverables can be identified, allowing the project team to create comprehensive project risk management documentation while addressing specific steps along the way. These deliverables are important because they indicate to project managers exactly the types of information they should be collecting at different phases of the project and the materials they should make available to relevant stakeholders.
The PRAM model for risk management is extremely helpful because it offers project manag- ers a systematic process for best employing risk assessment and mitigation strategies. Composed of nine interconnected steps that form a logical sequence, PRAM creates a unifying structure under which effective risk management can be conducted. Because it follows the logic of the project life cycle, PRAM should be conducted not as a “one-shot” activity but as an ongoing, progressive scheme that links project development directly to accurate risk assessment and management.
taBle 7.4 A Generic risk Management Process (rMP) following the PrAM Methodology
Phases Purposes Deliverables
Define Consolidate relevant existing information about the project.
A clear, unambiguous, shared understanding of all key aspects of the project documented, verified, and reported.
Focus 1. Identify scope and provide a strategic plan for the RMP.
2. Plan the RMP at an operational level.
A clear, unambiguous, shared understanding of all relevant key aspects of the RMP, documented, verified, and reported.
Identify 1. Identify where risk might arise. 2. Identify what we might do about this risk
in proactive and reactive response terms. 3. Identify what might go wrong with our
responses.
All key risks and responses identified; both threats and opportunities classified, characterized, documented, verified, and reported.
Structure 1. Test simplifying assumptions. 2. Provide more complex structure when
appropriate.
A clear understanding of the implications of any important simplifying assumptions about relationships among risks, responses, and base plan activities.
Ownership 1. Client contractor allocation of ownership and management of risks and responses.
2. Allocation of client risks to named individuals. 3. Approval of contractor allocations.
Clear ownership and management allocations effectively and efficiently defined, legally enforceable in practice where appropriate.
Estimate 1. Identify areas of clear significant uncertainty. 2. Identify areas of possible significant
uncertainty.
1. A basis for understanding which risks and responses are important.
2. Estimates of likelihood and impact on scenario or in numeric terms.
Evaluate Synthesis and evaluation of the results of the estimate phase.
Diagnosis of all important difficulties and comparative analysis of the implications of responses to these difficulties, with specific deliverables like a prioritized list of risks.
Plan Project plan ready for implementation and associated risk management plan.
1. Base plans in activity terms at the detailed level of implementation.
2. Risk assessment in terms of threats and opportunities prioritized, assessed in terms of impact.
3. Recommended proactive and reactive contingency plans in activity terms.
Manage 1. Monitoring. 2. Controlling. 3. Developing plans for immediate
implementation.
1. Diagnosis of a need to revisit earlier plans and initiation of replanning as appropriate.
2. Exception reporting after significant events and associated replanning.
Summary 243
Finally, in identifying the key deliverables at each step in the process, the PRAM model ensures a similarity of form that allows top management to make reasonable comparisons across all projects in an organization’s portfolio.
Project risk management demonstrates the value of proactive planning for projects as a way to anticipate and, hopefully, mitigate serious problems that could adversely affect the proj- ect at some point in the future.14 The value of this troubleshooting process is that it requires us to think critically, to be devil’s advocates when examining how we are planning to develop a project. Research and common sense suggest, in the words of the adage, “An ounce of preven- tion is worth a pound of cure.” The more sophisticated and systematic we are about conducting project risk management, the more confident we can be, as the project moves through planning and into its execution phase, that we have done everything possible to prepare the way for proj- ect success.
Summary
1. define project risk. Project risk is defined as any possible event that can negatively affect the viability of a project. We frequently use the equation: Risk event = (Probability of event)(Consequences of event). Effective risk management goes a long way toward influencing project development. To be effective, however, project risk management needs to be done early in the project’s life. To quote Shakespeare’s Macbeth: “If it were done, when ’tis done; then ’twere well it were done quickly.”15 As an important element in overall project planning, risk management identifies specific risks that can have a detrimental effect on project performance and quan- tifies the impact each risk may have. The impact of any one risk factor is defined as the product of the likelihood of the event’s occurrence and the adverse consequences that would result. The tremendous number of unknowns in the early phases of a project makes this the time when risk is highest. As the proj- ect moves forward, the team continues to address risk with technical, administrative, and budgetary strategies.
2. recognize four key stages in project risk man- agement and the steps necessary to manage risk. There are four distinct phases of project risk management: (1) risk identification, (2) analysis of probability and consequences, (3) risk mitigation strategies, and (4) control and documentation. Risk identification focuses on determining a realistic set of risk factors that a project faces. In analysis of probability and consequences, the project team prioritizes its responses to these various risk fac- tors by assessing the “impact factor” of each one. Impact factors are determined either in a qualita- tive manner, using a matrix approach and consen- sus decision making, or in more quantitative ways, in which all relevant probability and consequence parameters are laid out and used to assess overall
project risk. The project team begins the process of developing risk mitigation strategies once a clear vision of risk factors is determined. The last step in the risk management process, control and doc- umentation, is based on the knowledge that risk management strategies are most effective when they have been codified and introduced as part of standard operating procedures. The goal is to cre- ate systematic and repeatable strategies for project risk management.
3. Understand five primary causes of project risk and four major approaches to risk identification. The five primary causes of project risk are (1) financial risk, (2) technical risk, (3) commercial risk, (4) execu- tion risk, and (5) contractual or legal risk. Among the most common methods for risk identification are (1) brainstorming meetings, (2) expert opin- ion, (3) past history, and (4) multiple or team-based assessments.
4. recognize four primary risk mitigation strategies. Risks can be mitigated through four primary approaches. First, we can simply accept the risk. We may choose to do this in a situation in which we either have no alternative or we consider the risk small enough to be acceptable. Second, we can seek to minimize risk, perhaps through entering partnerships or joint ventures in order to lower our company’s exposure to the risk. Third, we can share risk with other organizations or project stakeholders. Finally, when appropriate, we may seek to transfer risk to other project stakeholders.
5. explain the Project risk Analysis and Management (PrAM) process. PRAM is a generic project risk management approach that offers a model for the life cycle steps a project team might adopt in developing a risk management methodology. Nine distinct steps in the PRAM model present each phase of the process and its associated deliverables.
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Key Terms
Analysis of probability and consequences (p. 228)
Change management (p. 238)
Commercial risk (p. 229) Contingency reserves
(p. 236) Contractual or legal risk
(p. 229)
Control and documentation (p. 228)
Cross-training (p. 237) Execution risk (p. 229) Financial risk (p. 228) Fixed-price contact
(p. 235) Insurance (p. 237) Liquidated damages
(p. 235)
Managerial contingency (p. 236)
Mentoring (p. 237) Project risk (p. 225) Project Risk Analysis and
Management (PRAM) (p. 241)
Risk Breakdown Structure (p. 231)
Risk identification (p. 228)
Risk management (p. 225)
Risk mitigation strategies (p. 228)
Task contingency (p. 236) Technical risk (p. 228)
7.1 QuANtitAtiVe riSk ASSeSSMeNt Refer to the risk factors shown in Table 7.1. Assume your project team has decided upon the following risk values:
Pm = .1 Cc = .7 Pc = .5 Cs = .5 Pd = .9 Cr = .3
Cp = .1
You wish to determine the overall project risk using a quanti- tative method. Following the formulas shown in Table 7.2, we can calculate both the probability of project risk score and the consequences of project risk score, as follows:
Pf = (.1 + .5 + .9)/3 = .5 Cf = (.7 + .5 + .3 + .1)/4 = .4
RF = .5 + .4 - (.5)(.4) = .70 conclusion: Medium risk to overall project.
Solved Problem
7.1 Assessing risk factors. Consider the planned construc- tion of a new office building in downtown Houston at a time when office space is in surplus demand (more office space than users). Construct a risk analysis that examines the various forms of risk (technical, commercial, financial, etc.) related to the creation of this office building. How
would your analysis change if office space were in high demand?
7.2 Qualitative risk Assessment. Imagine that you are a member of a project team that has been charged to de- velop a new product for the residential building indus- try. Using a qualitative risk analysis matrix, develop
Problems
Discussion Questions
7.1 Do you agree with the following statement: “With proper planning it is possible to eliminate most/all risks from a project”? Why or why not?
7.2 In evaluating projects across industries, it is sometimes possible to detect patterns in terms of the more common types of risks they routinely face. Consider the develop- ment of a new software product and compare it to coordi- nating an event, such as a school dance. What likely forms of risk would your project team face in either of these circumstances?
7.3 Analyze Figure 7.2 (degree of risk over the project life cycle). What is the practical significance of this model? What implications does it suggest for managing risk?
7.4 What are the benefits and drawbacks of using the various forms of risk identification mentioned in the chapter (e.g., brainstorming meetings, expert opinion, etc.)?
7.5 What are the benefits and drawbacks of using a qualitative risk impact matrix for classifying the types of project risk?
7.6 What are the benefits and drawbacks of using a quanti- tative risk assessment tool such as the one shown in the chapter?
7.7 Give some examples of projects using each of the risk mitigation strategies (accept, minimize, share, or transfer). How successful were these strategies? In hindsight, would another approach have been better?
7.8 Explain the difference between managerial contingency and task contingency.
7.9 What are the advantages of developing and using a sys- tematic risk management approach such as the PRAM methodology? Do you perceive any disadvantages of the approach?
7.10 Consider the following observation: “The problem with risk analysis is that it is possible to imagine virtually any- thing going wrong on a project. Where do you draw the line? In other words, how far do you take risk analysis be- fore it becomes overkill?” How would you respond?
Case Study 7.1 245
a risk assessment for a project based on the following information:
identified risk factors likelihood
1. Key team members pulled off project 1. High
2. Chance of economic downturn 2. Low
3. Project funding cut 3. Medium
4. Project scope changes 4. High
5. Poor spec. performance 5. Low
Based on this information, how would you rate the conse- quences of each of the identified risk factors? Why? Con- struct the risk matrix and classify each of the risk factors in the matrix.
7.3 developing risk Mitigation strategies. Develop a pre- liminary risk mitigation strategy for each of the risk fac- tors identified in Problem 2. If you were to prioritize your efforts, which risk factors would you address first? Why?
7.4 Quantitative risk Assessment. Assume the following information:
Probability of failure consequences of failure
Maturity = .3 Cost = .1
Complexity = .3 Schedule = .7
Dependency = .5 Performance = .5
Calculate the overall risk factor for this project. Would you assess this level of risk as low, moderate, or high? Why?
7.5 Quantitative risk Assessment. Assume the following information for an IT project.
Probability of failure consequences of failure
Maturity = .7 Cost = .9 Complexity = .7 Schedule = .7 Dependency = .5 Client Concerns = .5 Programmer Skill = .3
Performance = .3 Future Business = .5
Calculate the overall risk factor for this project. Would you assess this level of risk as low, moderate, or high? Why?
7.6 developing risk Mitigation strategies. Assume that you are a project team member for a highly complex project based on a new technology that has never been directly proven in the marketplace. Further, you require the ser- vices of a number of subcontractors to complete the design and development of this project. Because you are facing se- vere penalties in the event the project is late to market, your boss has asked you and your project team to develop risk mitigation strategies to minimize your company’s expo- sure. Discuss the types of risk that you are likely to encoun- ter. How should your company deal with them (accept them, share them, transfer them, or minimize them)? Justify your answers.
7.7 Assessing risk and Benefits. Suppose you are a mem- ber of a project team that is evaluating the bids of poten- tial contractors for developing some subassemblies for your project. Your boss makes it clear that any successful bid must demonstrate a balance between risk and price. Explain how this is so; specifically, why are price and risk seen as equally important but opposite issues in determin- ing the winner of the contract? Is a low-price/high-risk bid acceptable? Is a high-price/low-risk bid acceptable? Why or why not?
CaSE STuDy 7.1 Classic Case: de Havilland’s Falling Comet
(continued)
The Development of the Comet
The de Havilland Aircraft Company of Great Britain had long been respected in the aircraft manufactur- ing industry for its innovative and high-performance designs. Coming off its excellent work during World War II, the company believed that it stood poised on the brink of success in the commercial airframe indus- try. The de Havilland designers and executives accu- rately perceived that the next generation of airplane would be jet-powered. Consequently, they decreed that their newest commercial airframe, tentatively called the Comet, would employ jet power and other leading- edge technology.
Jets offered a number of advantages over propeller-driven airplanes, the most obvious of which was speed. Jets could cruise at nearly 450 miles per
hour compared with the 300 miles per hour a pro- peller could generate. For overseas flight, in particu- lar, this advantage was important. It could reduce the length of long flights from a mind-numbing two to three days to mere hours, encouraging more and more businesspeople and tourists to use airplanes as their primary method for travel. Further, jets tended to be quieter than propeller-driven aircraft, giving a more comfortable interior sound level and ride to passengers.
De Havilland engineers sought to create a stream- lined airplane that could simultaneously carry up to 50 passengers in comfort, while maintaining aerody- namics and high speed. After working with a number of design alternatives, the Comet began to take shape. Its design was, indeed, distinctive: The four jet engines
246 Chapter 7 • Risk Management
were embedded in pairs in the wing roots, at the point where they joined the fuselage. From the front, the aircraft looked as though its wings were literally held in place by the engines. The result of these innovative engineering designs was an aircraft that had remark- able stability in flight, was sleek in appearance, and was very fast.
Another distinctive feature of the aircraft was the pressurized cabin, intended to maintain passenger comfort at cruising altitudes of up to 30,000 feet. In its original testing for safety, de Havilland engineers had pressurized the airframe to more than five times the recommended air density to ensure that there was a clean seal. Consequently, they were confident that the pressurization system would perform well at its lower, standardized settings. Finally, in an effort to add some flair to the design, each window in the passenger cabin was square, rather than the small, round or oval shapes so commonly used.
Knowing that it was facing competition from Boeing Corporation to be first to market with a com- mercial jet, de Havilland’s goal was to introduce its new aircraft as quickly as possible, in order to establish the standard for the commercial airline industry. At first, it appeared the company had succeeded: BOAC (British Overseas Airways Corporation) ordered sev- eral Comets, as did Air France and the British mili- tary. De Havilland also received some queries from interested American airline companies, notably Pan American Airlines. It looked as though de Havilland’s strategy was working; the company was first to
market with a radical new design, using a number of state-of-the-art technologies. BOAC’s first nine Comet 1 s entered service with the airline on May 2, 1952. The future looked bright.
Troubles
In early May of 1953, a brand new Comet operated by BOAC left Calcutta, India, and flew off into the after- noon sky. Six minutes later and only 22 miles from Calcutta’s Dum Dum Airport, the aircraft exploded and plunged to earth, killing all 43 passengers and crew on board. There had been no indication of prob- lems and no warning from the pilots of technical dif- ficulties. Investigators from Great Britain and India tended to believe the crash came about due to pilot error coupled with weather conditions. Evidence from the wreckage, including the tail section, seemed to indicate that the aircraft had been struck by something heavy, but without any additional information forth- coming, both the authorities and de Havilland engi- neers laid the blame on external causes.
January 10, 1954, was a mild, clear day in Rome as passengers boarded their BOAC aircraft for the final leg of their flight from Singapore to London. When the airplane reached its cruising altitude and speed, it dis- integrated over the Mediterranean Sea, near the island of Elba. Most of the airplane was lost at the bottom of the sea, but amid the flotsam 15 bodies of passen- gers and crew were recovered. A local physician who examined the remains noted: “They showed no look of terror. Death must have come without warning.”
Figure 7.10 the de Havilland comet
Source: Heanly Mirrorpix/Newscom
Case Study 7.1 247
As a safety precaution, BOAC instituted a ban on the use of Comets until the airplanes had been thoroughly checked over. Technicians could find nothing wrong with the new aircraft and, following recertification, the airplanes were again brought back into service.
Alas, it was too soon. On April 8, only 16 days after the Comet was reintroduced into service, a third aircraft, operated by South African Airways, departed from Rome’s Ciampino airport for Cairo, one of the legs of its regular flight from London to Johannesburg. Under perfect flying weather, the airplane rapidly gained its cruising altitude of 26,000 feet and its air- speed of almost 500 miles an hour. Suddenly, the flight radio went silent and failed to answer repeated calls. A search of the ocean off the island of Stromboli, Italy, turned up an oil slick and some debris. Because of the depth of the water and the time necessary to arrive at the crash site, there was little to be found by search crews. Five bodies were all that were recovered this time, though with an eerie similarity to the victims of the second disaster: Facial expressions showed no fear, as though death had come upon them suddenly.
What Went Wrong?
Investigators swarmed over the recovered wreckage of the aircraft and reexamined the pieces from the first Calcutta accident while also conducting underwater searches at the sight of the second crash near the island of Elba. Guided by underwater cameras, investigators were able to collect sufficient aircraft fragments (in fact, they finally recovered nearly 70% of the airframe) to make some startling discoveries. The foremost finding, from the recovery of the entire, intact tail section, was that the fuselage of the aircraft had exploded. Second, it appeared that engine failure was not the cause of the accidents. Another finding was equally important: The wings and fuselage showed unmistakable signs of metal fatigue, later shown to be the cause of failure in all three aircraft. This point was important because it advanced the theory that the problem was one of structural design rather than simple part failure.
Britain’s Civil Aviation Board immediately grounded the entire Comet fleet pending extensive reviews and airworthiness certification. For the next five months, the CAB set out on an extensive series of tests to isolate the exact causes of the mysterious crashes. Before testing was complete, one Comet had been tested literally to destruction, another had its fuel tanks ruptured, more than 70 complete test flights were made in a third, and between 50 and 100 test models were broken up. The results of the extensive tests indi- cated a number of structural and design flaws.
Although the aircraft’s designers were convinced that the structure would remain sound for 10,000 flight
hours before requiring major structural overhaul- ing, simulations showed unmistakable signs of metal fatigue after the equivalent of only 3,000 flight hours. Experts argued that even when fatigue levels were revised downward to less than 3,000 hours, Comets would not be safe beyond 1,000 flying hours, a ludi- crously low figure in terms of the amount of use a commercial airliner is expected to receive. In addition, testing of the fuselage offered disturbing indications of the cause of failure. Specifically, cracks began devel- oping in the corners of the cabin windows, and these cracks were exacerbated by repeated pressurization and depressurization of the cabin. The investigators noted that this result was most pronounced along the rivet lines near the fuselage windows.
Testing also demonstrated that the wings had a low resistance to fatigue. At a number of stages in the tests, serious cracks appeared, starting at the rivet holes near the wheel wells and finally resulting in rivet heads in the top wing surface actually shearing off. Engineers and investigators were finding incontrovertible evi- dence in the pieces of recovered wreckage that the cause of the sudden disintegration of the aircraft could only have been due to cabin pressure blowout. Engineers suspected that the critical failure of the aircraft occurred following sudden depressurization, when one or more windows were literally blown out of the aircraft. This led to a sudden “gyroscopic moment” as the aircraft nosed down and began its plunge to earth.
Although at the time no one would admit it, the handwriting was on the wall. After two years, in which Comets carried more than 55,000 passengers over 7 million air miles, the Comet 1 was never to fly again. De Havilland had indeed won the race to be first to market with a commercial jet—a race that it would have been better to have never run at all.16
Questions
1. How could risk management have aided in the development of the Comet?
2. Discuss the various types of risk (technical, finan- cial, commercial, etc.) in relation to the Comet. Develop a qualitative risk matrix for these risk factors and assess them in terms of probability and consequences.
3. Given that a modified version of the Comet (the Comet IV) was used until recently by the British government as an antisubmarine warfare air- craft, it is clear that the design flaws could have been corrected given enough time. What, then, do you see as de Havilland’s critical error in the development of the Comet?
4. Comment on this statement: “Failure is the price we pay for technological advancement.”
248 Chapter 7 • Risk Management
CaSE STuDy 7.2 The Spanish Navy Pays Nearly $3 Billion for a Submarine That Will Sink Like a Stone
In 2003, shipbuilders at Navantia, Spain’s state- owner shipyard, welcomed a contract from their navy to construct four state-of-the-art submarines. The S-80 class was going to be an engineering mar- vel, filled with the latest and most cutting-edge technology, including a diesel-electric propulsion system that would be 20% lighter than other ships, while delivering 50% more power. As the list of up- grades and new technical gadgetry grew, the deliv- ery date for the Isaac Peral—the lead ship in the S-80 class—continued to ship further behind schedule. Nevertheless, it wasn’t the continuous upgrading and addition of new equipment that finally slammed the brakes on the project; it was the startling warning from Navantia’s engineers that the Isaac Peral was not seaworthy. The submarine, named in honor of the Spanish man credited by some as the inventor of the underwater vessel, was 75–100 tons overweight, an excess that could make it difficult or impossible for the submarine to surface after submerging. As a re- sult, the Spanish navy was faced with the challenge of fixing a submarine that ran the risk of disaster whenever it decided to submerge!
Navantia admitted the existence of “devia- tions related to the balance of weight” in the vessel and estimated it would take up to two years more to correct the problem, pushing the new delivery date to late 2018. The firm’s engineers are trying to determine their best options at this point. It appears that two choices are most likely: Find a way to trim the design of the overall ship, which would be very difficult at this stage in construction, or lengthen the hull of the already 233-foot submarine to com- pensate for the extra weight. The problem with this option is that designers have estimated that for every meter the hull is lengthened, it will end up costing nearly 10 million additional euros (about $14 million dollars). Unfortunately for the Spaniards, indepen- dent agencies report that they have already sunk the equivalent of $680 million into the Isaac Peral, and a total of $3 billion into the entire quartet of S-80 class submarines.
The buoyancy problem is not the only difficulty facing the program; an analyst said that that sub- marine’s air-independent propulsion (AIP) system
reactor is also underperforming. A Strategic Studies Group spokesperson said that the AIP system has been designed to enable the submarine to operate underway for 28 days but is currently able to man- age only one week. The Group’s memo suggests, “The buoyancy problem alone could cost up to half a billion euros to cover redesign and extra construc- tion, without considering the propulsion problem.”
The submarine setback couldn’t have come at a worse time for Prime Minister Mariano Rajoy, who was already caught up in a corruption scan- dal and saw his approval rating hit a record low in 2013. Because of the poor shape of Spain’s economy, Rajoy’s austerity cuts trimmed the Spanish military budget by 30 percent in 2012, leaving much less room for added ballast. With reports that the S-80 program will be delayed an estimated two years and another general election looming in 2015, Rajoy likely will not see the submarines through to suc- cessful launch.
How did such an expensive project get funded at a time when the Spanish military’s entire special weap- ons program received a 98% cut? Sheer pride seems to have been a factor: Spain hoped the S-80 class would be a new homegrown breakthrough achieved with- out foreign help. Now that Navantia has entered into a $15 million contract with the Electric Boat Division of America’s General Dynamics to help with the rede- sign, that dream seems dead in the water.17
Questions
1. Google “Spain’s S-80 class submarine” and read some of the articles posted. In your opinion, how does technical risk cause problems with major defense projects?
2. Why do you think it is common for defense con- tractors to add new features and modifications to current programs? In other words, why do defense agencies contract for one project, only to see it often evolve into something new by the time it is launched?
3. If you were an advisor brought in by the Spanish government, what advice would you offer them in managing their defense projects?
Case Study 7.3 249
The dramatic collapse of the Tacoma Narrows suspen- sion bridge in 1940, barely four months after comple- tion, was a severe blow to the design and construction of large span bridges. It serves as a landmark failure in engineering history and is, indeed, a featured lesson in most civil engineering programs. The story of the col- lapse serves as a fascinating account of one important aspect of project failure: engineering’s misunderstand- ing of the effect that a variety of natural forces can have on projects, particularly in the construction industry.
Opening in July 1941, the Tacoma Narrows Bridge was built at a cost of $6.4 million and was largely funded by the federal government’s Public Works Administration. The purpose of the bridge was essentially viewed as a defense measure to connect Seattle and Tacoma with the Puget Sound Navy Yard at Bremerton.18 As the third-largest single suspension bridge in the world, it had a center span of 2,800 feet and 1,000-foot approaches at each end.
Even before its inauguration and opening, the bridge began exhibiting strange characteristics that were immediately noticeable. For example, the slightest wind could cause the bridge to develop a pronounced longitudinal roll. The bridge would quite literally begin to lift at one end and, in a wave action, the lift would “roll” the length of the bridge. Depending upon the severity of the wind, cameras were able to detect any- where up to eight separate vertical nodes in its rolling action. Many motorists crossing the bridge complained of acute seasickness brought on by the bridge’s rising and falling. So well-known to the locals did the strange weaving motion of the bridge become that they nick- named the bridge “Galloping Gertie.”
That the bridge was experiencing increasing and unexpected difficulties was clear to all involved in the project. In fact, the weaving motion of Galloping Gertie became so bad as the summer moved into fall that heavy steel cables were installed externally to the span in an attempt to reduce the wind-induced motion. The first attempt resulted in cables that snapped as they were being put into place. The second attempt, later in the fall, seemed to calm the swaying and oscillating motion of the bridge initially. Unfortunately, the cables would prove to be incapable of forestalling the effects of the dynamic forces (wind) playing on the bridge; they snapped just before the final critical torsional oscillations that led to the bridge’s collapse.
On November 7, 1940, a bare four months after opening of the bridge, with winds of 42 miles per hour blowing steadily, the 280-foot main span that had already begun exhibiting a marked flex went into
a series of violent vertical and torsional oscillations. Alarmingly, the amplitudes steadily increased, suspen- sions came loose, the support structures buckled, and the span began to break up. In effect, the bridge seemed to have come alive, struggling like a bound animal, and was literally shaking itself apart. Motorists caught on the bridge had to abandon their cars and crawl off the bridge, as the side-to-side roll had become so pro- nounced (by now, the roll had reached 45 degrees in either direction, causing the sides of the bridge to rise and fall more than 30 feet) that it was impossible to tra- verse the bridge on foot.
After a fairly short period of time in which the wave oscillations became incredibly violent, the sus- pension bridge simply could not resist the pounding and broke apart. Observers stood in shock on either side of the bridge and watched as first large pieces of the roadway and then entire lengths of the span rained down into the Tacoma Narrows below. Fortunately, no human lives were lost, since traffic had been closed in the nick of time.
The slender 12-meter-wide main deck had been supported by massive 130-meter-high steel towers comprised of 335-foot-long spans. These spans man- aged to remain intact despite the collapse of the main span. The second bridge (TNB II) would end up mak- ing use of these spans when it was rebuilt shortly there- after, by a new span stiffened with a web truss.
Following the catastrophic failure, a three- person committee was immediately convened to determine the causes of the Tacoma Narrows Bridge collapse. The board consisted of some of the top scientists and engineers in the world at that time: Othmar Ammann, Theodore von Karman, and Glenn Woodruff. While satisfied that the basic design was sound and the suspension bridge had been con- structed competently, these experts nevertheless were able to quickly uncover the underlying contributing causes to the bridge collapse:
• design features—The physical construction of the bridge contributed directly to its failure and was a source of continual concern from the time of its completion. Unlike other suspension bridges, one distinguishing feature of the Tacoma Narrows Bridge was its small width-to-length ratio—smaller than any other suspension bridge of its type in the world (although almost one mile in length, the bridge was only constructed to carry a single traffic lane in each direction). That ratio means quite simply that the bridge was
CaSE STuDy 7.3 Classic Case: Tacoma Narrows Suspension Bridge
(continued)
250 Chapter 7 • Risk Management
incredibly narrow for its long length, a fact that was to contribute hugely to its distinctive oscil- lating behavior.
• Building materials—Another feature of the con- struction that was to play an important role in its collapse was the substitution of key structural components. The original plans called for the use of open girders in the construction of the bridge’s sides. Unfortunately, at some point, a local con- struction engineer substituted flat, solid girders that deflected the wind rather than allowing for its passage. The result was to cause the bridge to catch the wind “like a kite” and adopt a perma- nent sway. In engineering terms, the flat sides simply would not allow wind to pass through the sides of the bridge, reducing its wind drag. Instead, the solid, flat sides caught the wind that pushed the bridge sideways until it had swayed enough to “spill” the wind from the vertical plane, much as a sailboat catches and spills wind in its sails.
• Bridge location—A final problem with the ini- tial plan lay in the actual location selected for the bridge’s construction. Although the investigat- ing committee did not view the physical location of the bridge as contributing to its collapse, the location did play an important secondary role through its effect on wind currents. The topog- raphy of the Tacoma Narrows over which the bridge was constructed was particularly prone to high winds due to the narrowing down of the land on either side of the river. The unique char- acteristics of the land on which the bridge was built virtually doubled the wind velocity and acted as a sort of wind tunnel.
Before this collapse, not much was known about the effects of dynamic loads on structures. Until then, it had always been taken for granted in bridge build- ing that static load (downward forces) and the sheer bulk and mass of large trussed steel structures were enough to protect them against possible wind effects. It took this disaster to firmly establish in the minds of design engineers that dynamic, and not static, loads are really the critical factor in designing such structures.
The engineering profession took these lessons to heart and set about a radical rethinking of their conventional design practices. The stunning part of this failure was not so much the oscillations, but the spectacular way in which the wave motions along the main span turned into a destructive tossing and turn- ing and led finally to the climax in which the deck was wrenched out of position. The support cables snapped
one at a time, and the bridge began to shed its pieces in larger and larger chunks until the integrity was com- pletely compromised.
Tacoma Narrows Bridge: The Postmortem
Immediately following the bridge’s collapse, the inves- tigating board’s final report laid the blame squarely on the inadequacy of a design that did not anticipate the dynamic properties of the wind on what had been thought a purely static design problem. Although lon- gitudinal oscillations were well understood and had been experienced early in the bridge’s construction, it was not until the bridge experienced added torsional rolling movements that the bridge’s failure became inevitable.
One member of the board investigating the acci- dent, Dr. Theodore von Karman, faced the disbelief of the engineering profession as he pushed for the application of aerodynamics to the science of bridge building. It is in this context that he later wrote his memoirs in which he proclaimed his dilemma in this regard: “Bridge engineers, excellent though they were, couldn’t see how a science applied to a small unstable thing like an airplane wing could also be applied to a huge, solid, nonflying structure like a bridge.”
The lessons from the Tacoma Narrows Bridge collapse are primarily those of ensuring a general awareness of technical limitations in project design. Advances in technology often lead to a willingness to continually push out the edges of design enve- lopes, to try and achieve maximum efficiency in terms of design. The problem with radical designs or even with well-known designs used in unfa- miliar ways is that their effect cannot be predicted using familiar formulae. In essence, a willingness to experiment requires that designers and engineers begin to work to simultaneously develop a new cal- culus for testing these designs. It is dangerous to assume that a technology, having worked well in one setting, will work equally well in another, par- ticularly when other variables in the equation are subject to change.
The Tacoma Narrows Bridge collapse began in high drama and ended in farce. Following the bridge’s destruction, the state of Washington discov- ered, when it attempted to collect the $6 million insur- ance refund on the bridge, that the insurance agent had simply pocketed the state’s premium and never both- ered obtaining a policy. After all, who ever heard of a bridge the size of the Tacoma Narrows span collaps- ing? As von Karman wryly noted, “He [the insurance agent] ended up in jail, one of the unluckiest men in the world.”19
Internet Exercises 251
Questions
1. In what ways were the project’s planning and scope management appropriate? When did the planners begin taking unknowing or unneces- sary risks? Discuss the issue of project constraints and other unique aspects of the bridge in the risk management process. Were these issues taken into consideration? Why or why not?
Internet Exercises
7.1 Go to www.informationweek.com/whitepaper/ Management/ROI-TCO/managing-risk-an-integrated- approac-wp1229549889607?articleID=54000027 and access the article on “Managing Risk: An Integrated Approach.” Consider the importance of proactive risk management in light of one of the cases at the end of this chapter. How were these guidelines violated by de Havilland or the Tacoma Narrows construction project organization? Support your arguments with information either from the case or from other Web sites.
7.2 FEMA, the Federal Emergency Management Agency, is re- sponsible for mitigating or responding to natural disasters within the United States. Go to www.fema.gov/about/di- visions/mitigation.shtm. Look around the site and scroll down to see examples of projects in which the agency is involved. How does FEMA apply the various mitigation strategies (e.g., accept, minimize, share, and transfer) in its approach to risk management?
7.3 Go to www.mindtools.com/pages/article/newTMC_07. htm and read the article on managing risks. What does the article say about creating a systematic methodology for managing project risks? How does this methodology compare with the qualitative risk assessment approach taken in this chapter? How does it diverge from our approach?
7.4 Using the keyword phrase “cases on project risk man- agement,” search the Internet to identify and report on a recent example of a project facing significant risks. What steps did the project organization take to first identify and then mitigate the risk factors in this case?
7.5 Go to www.project-management-podcast.com/index.php/ podcast-episodes/episode-details/109-episode-063-how- do-risk-attitudes-affect-your-project to access the pod- cast on risk attitudes on projects. What does the speaker, Cornelius Fichtner, PMP, suggest about the causes of project failures as they relate to issues of risk management?
PMP certificAtion sAMPle QUestions
1. The project manager has just met with her team to brainstorm some of the problems that could occur on the upcoming project. Today’s session was intended to generate possible issues that could arise and get everyone to start thinking in terms of what they should
be looking for once the project kicks off. This meeting would be an example of what element in the risk man- agement process?
a. Risk mitigation b. Control and documentation c. Risk identification d. Analysis of probability and consequences
2. Todd is working on resource scheduling in preparation for the start of a project. There is a potential problem in the works, however, as the new collective bargain- ing agreement with the company’s union has not been concluded. Todd decides to continue working on the resource schedule in anticipation of a satisfactory settle- ment. Todd’s approach would be an example of which method for dealing with risk?
a. Accept it b. Minimize it c. Transfer it d. Share it
3. A small manufacturer has won a major contract with the U.S. Army to develop a new generation of satellite phone for battlefield applications. Because of the sig- nificant technological challenges involved in this proj- ect and the company’s own size limitations and lack of experience in dealing with the Army on these kinds of contracts, the company has decided to partner with another firm in order to collaborate on developing the technology. This decision would be an example of what kind of response to the risk?
a. Accept it b. Minimize it c. Transfer it d. Share it
4. All of the following would be considered examples of significant project risks except:
a. Financial risks b. Technical risks c. Commercial risks d. Legal risks e. All are examples of significant potential project risks
5. Suppose your organization used a qualitative risk assessment matrix with three levels each of prob- ability and consequences (high, medium, and low).
2. Conduct either a qualitative or quantitative risk assessment on this project. Identify the risk fac- tors that you consider most important for the suspension bridge construction. How would you assess the riskiness of this project? Why?
3. What forms of risk mitigation would you con- sider appropriate for this project?
252 Chapter 7 • Risk Management
In evaluating a project’s risks, you determine that com- mercial risks pose a low probability of occurrence but high consequences. On the other hand, legal risks are evaluated as having a high probability of occurrence and medium consequences. If you are interested in pri- oritizing your risks, which of these should be consid- ered first?
a. Commercial risk b. Legal risk c. Both should be considered equally significant d. Neither is really much of a threat to this project, so
it doesn’t matter what order you assign them
Answers: 1. c—Brainstorming meetings are usually cre- ated as an effective means to get project team members to begin identifying potential risks; 2. a—Todd is choosing to accept the risk of potential future problems by continuing to work on his resource schedule in anticipation of positive contract talks; 3. d—The firm has decided to share the risk of the new project by partnering with another company; 4. e—All are examples of significant potential project risks; 5. b—Legal risks would be of higher overall significance (high probability, medium consequence) and so should probably be considered first in a prioritization scheme.
Integrated Project 253
iNteGrAteD Project
Project risk Assessment Conduct a preliminary risk analysis of your project. Use two techniques, one qualitative and one quantita- tive, in supporting your evaluation of project risk. In order to do this, you will need to:
• Generate a set of likely risk factors. • Discuss them in terms of probability and consequences. • Develop preliminary strategies for risk mitigation.
An effective risk analysis will demonstrate clear understanding of relevant project risks, their potential impact (probability and consequences), and preliminary plans for minimizing the negative effects.
saMPle risk analysis—aBc u p s, inc. Among the potential threats or uncertainties contained in this project, the following have been identified:
1. Plant reorganization could take longer than anticipated. Process engineering may be more complicated or unexpected difficulties could arise while the process alterations are underway.
2. A key project team member could be reassigned or no longer able to work on the project. Due to other requirements or top management reshuffling of resources, the project could lose one of its key core team members.
3. The project budget could be cut because of budget cutbacks in other parts of the company. The project budget could be trimmed in the middle of the development cycle.
4. Suppliers might be unable to fulfill contracts. After qualifying vendors and entering into contracts with them, it might be discovered that they cannot fulfill their contractual obligations, requiring the project team and organization to rebid contracts or accept lower-quality supplies.
5. New process designs could be found not to be technically feasible. The process engineers might deter- mine midproject that the project’s technical objectives cannot be achieved in the manner planned.
6. New products might not pass QA assessment testing. The project team might discover that the equip- ment purchased and/or the training that plant personnel received are insufficient to allow for proper quality levels of the output.
7. Vendors could discover our intentions and cut deliveries. Current vendors might determine our intent of eliminating their work and slow down or stop deliveries in anticipation of our company canceling contracts.
8. Marketing might not approve the prototype cups produced. The sales and marketing department might determine that the quality or “presence” of the products we produce are inferior and unlikely to sell in the market.
9. The new factory design might not be approved during government safety inspections. The factory might not meet OSHA requirements.
Qualitative risk assessMent
Probability
C o n se
q u en
ce s
low Med High
H ig
h
5 8
M e d
3, 9 2 1
lo w 4 6, 7
254 Chapter 7 • Risk Management
Risk Mitigation Strategies
High risk Mitigation Strategy
1. Plant reorganization takes longer than anticipated. 1. Develop a comprehensive project tracking program to maintain schedule.
2. Marketing does not approve the prototype cups produced.
2. Maintain close ties to sales department—keep them in the loop throughout project development and quality control cycles.
Moderate risk
3. New process designs are found to not be techni- cally feasible.
3. Assign sufficient time for quality assessment during prototype stage.
4. A key project team member could be reassigned or no longer able to work on the project.
4. Develop a strategy for cross-training personnel on elements of one another’s job or identify suitable replacement resources within the organization.
low risk
5. The project budget could be cut. 5. Maintain close contact with top management re- garding project status, including earned value and other control documentation.
6. Factory does not pass OSHA inspections. 6. Schedule preliminary inspection midway through project to defuse any concerns.
7. Suppliers are unable to fulfill contracts. 7. Qualify multiple suppliers at prototyping stage.
8. New products do not pass QA assessment testing.
8. Assign team member to work with QA department on interim inspection schedule.
9. Vendors discover our intentions and cut deliveries.
9. Maintain secrecy surrounding project development!
Quantitative risk assessMent
Probability of failure
• Maturity (Moderate) = .50
• Complexity (Minor) = .30
• Dependency (Moderate) = .50
consequences of failure
• Cost (Significant) = .70
• Schedule (Moderate) = .50
• Reliability (Minor) = .30
• Performance (Moderate) = .50
Pm Pc Pd Pf
.50 .30 .50 .43
Cc Cs Cr Cp Cf
.70 .50 .30 .50 .50
Risk Factor = (.43) + (.50) - (.43)(.50) = .715 (High Risk)
Notes 255
Notes 1. Lallanilla, M. (2013, September 3). “This London skyscraper
can melt cars and set buildings on fire.” www.nbcnews. com/science/science-news/london-skyscraper-can- melt- cars-set-buildings-fire-f8C11069092; Smith-Spark, L. (2013, September 3). “Reflected light from London skyscraper melts car,” CNN. www.cnn.com/2013/09/03/world/europe/uk- london-building-melts-car/; Gower, P. (2014, February 12). “London walkie talkie owners to shield car-melting beam,” Bloomberg. www.bloomberg.com/news/2014-02-12/london- walkie-talkie-owners-to-shield-tower-s-car-melting-beam. html; BBC News Magazine. (2014, September 3). Chris Shepherd, BBC News Magazine, (2014, Sept. 3). “Who, what, why: How does a skyscraper melt a car?” http://www.bbc. com/news/magazine-23944679. Reprinted by permission from BBC Worldwide Americas Inc.
2. Wideman, M. (1998). “Project risk management,” in Pinto, J. K. (Ed.), The Project Management Institute’s Project Management Handbook. San Francisco, CA: Jossey-Bass, pp. 138–58.
3. Chapman, C. B., and Ward, S. C. (1997). Project Risk Management: Process, Techniques, and Insights. Chichester, UK: John Wiley; Kahkonen, K., and Artto, K. A. (1997). Managing Risks in Projects. London: E & FN Spon.
4. Chapman, R. J. (1998). “The effectiveness of working group risk identification and assessment techniques,” International Journal of Project Management, 16(6): 333–44.
5. Martin, P., and Tate, K. (1998). “Team-based risk assess- ment: Turning naysayers and saboteurs into supporters,” PMNetwork, 12(2): 35–38.
6. Scheid, J. (2011, December 5). “Risk management melt- downs: A look at some real-world examples.” www. brighthubpm.com/risk-management/126793-risk- management-meltdowns-a-look-at-some-real-world- examples/; Bernard, T. (2011, November 1). “In retreat, Bank of America cancels debit card fee,” New York Times. www.nytimes.com/2011/11/02/business/bank-of- america-drops-plan-for-debit-card-fee.html?_r=0
7. Hillson, D. (2002a, June). “The risk breakdown struc- ture (RBS) as an aid to effective risk management.” Proceedings of the 5th European Project Management Conference (PMI Europe 2002), Cannes, France.
8. Viswanathan, B. (2012, June 14). “Understanding the risk breakdown structure (RBS),” Project Management.com. http://project-management.com/understanding-the-risk- breakdown-structure-rbs/; Hillson, D. (2002b, October). “Use a risk breakdown structure (RBS) to understand your risks,” Proceedings of the 33rd Project Management Institute Annual Seminars & Symposium, San Antonio, TX.
9. Graves, R. (2000). “Qualitative risk assessment,” PMNetwork, 14(10): 61–66; Pascale, S., Troilo, L., and Lorenz, C. (1998). “Risk analysis: How good are your decisions?” PMNetwork, 12(2): 25–28.
10. “MCA spent millions on Carly Hennessy—Haven’t heard of her?” (2002, February 26). Wall Street Journal, pp. A1, A10.
11. Hamburger, D. H. (1990). “The project manager: Risk taker and contingency planner,” Project Management Journal, 21(4): 11–16; Levine, H. A. (1995). “Risk management for dummies: Managing schedule, cost and technical risk, and contingency,” PMNetwork, 9(10): 31–33.
12. http://blogs.wsj.com/chinarealtime/2009/06/29/shang- hai-building-collapses-nearly-intact/; http://news.bbc.co. uk/2/hi/8123559.stm; Peter Foster (2009, 29 Jun) Nine held over Shanghai building collapse www.telegraph.co.uk/ news/worldnews/asia/china/5685963/Nine-held-over- Shanghai-building-collapse.html.© Telegraph Media Group Limited 2009.
13. Chapman, C. B. (1997). “Project risk analysis and manage- ment—The PRAM generic process,” International Journal of Project Management, 15(5): 273–81; Chapman, C. B., and Ward, S. (2003). Project Risk Management: Processes, Techniques and Insights, 2nd ed. Chichester, UK: John Wiley.
14. Artto, K. A. (1997). “Fifteen years of project risk manage- ment applications—Where are we going?” in Kahkonen, K., and Artto, K. A. (Eds.), Managing Risks in Projects. London: E & FN Spon, pp. 3–14; Williams, T. M. (1995). “A classified bibliography of recent research relating to project risk management,” European Journal of Operations Research, 85: 18–38.
15. The Tragedy of Macbeth: Act I Scene VII: The same. A room in Macbeth’s castle. by William Shakespeare.
16. “Fatigue blamed in Comet crashes.” (1954, October 25). Aviation Week, 61: 17–18; “Comet verdict upholds RAE findings.” (1955, February 21). Aviation Week, 62: 16–17; Hull, S. (1954, November 1). “Comet findings may upset design concepts,” Aviation Week, 61: 16–18; “Fall of a Comet.” (1953, May 11). Newsweek, 41: 49; “A column of smoke.” (1954, January 18). Time, 63: 35–36; “Death of the Comet I.” (1954, April 19). Time, 63: 31–32.
17. Govan, F. (2013, May 22). “£2 billion Spanish navy submarine will sink to bottom of sea,” The Telegraph, www.telegraph. co.uk/news/worldnews/europe/spain/10073951/ 2-billion-Spanish-navy-submarine-will-sink-to-bottom- of-sea.html; El Periodico (2013, May 30). “The most modern Spanish submarine sinks for excess weight,” www.elperiodico.com/es/noticias/politica/problemas- peso-construccion-submarino-ejercito-espanol-2404561; Davis, C. (2013, May 24). “Spain’s S-81 Isaac Peral sub- marine cost $680 million to build . . . and can’t float,” Huffington Post. www.huffingtonpost.com/2013/05/24/ spain-submarine-s-81-isaac-peral-cant-float_n_3328683. html; “GD to help fix Spanish Navy’s overweight issue of S-80 submarine.” (2013, June 7). Naval-Technology.com www.naval-technology.com/news/newsgd-to-help-fix- spanish-navy-overweight-issue-s80-submarine
18. “Big Tacoma Bridge crashes 190 feet into Puget Sound.” (1940, November 8). New York Times, pp. 1, 3.
19. Kharbanda, O. P., and Pinto, J. K. (1996). What Made Gertie Gallup? New York: Van Nostrand Reinhold.
256
8 ■ ■ ■
Cost Estimation and Budgeting
Chapter Outline Project Profile
Sochi Olympics—What’s the Cost of National Prestige?
8.1 cost ManageMent Direct Versus Indirect Costs Recurring Versus Nonrecurring Costs Fixed Versus Variable Costs Normal Versus Expedited Costs
8.2 cost estiMation Learning Curves in Cost Estimation Software Project Estimation—Function Points Problems with Cost Estimation
Project ManageMent research in Brief Software Cost Estimation
Project ManageMent research in Brief “Delusion and Deception” Taking Place in Large Infrastructure Projects
8.3 creating a Project Budget Top-Down Budgeting Bottom-Up Budgeting Activity-Based Costing
8.4 develoPing Budget contingencies Summary Key Terms Solved Problems Discussion Questions Problems Case Study 8.1 The Hidden Costs of Infrastructure
Projects—The Case of Building Dams Case Study 8.2 Boston’s Central Artery/Tunnel Project Internet Exercises PMP Certification Sample Questions Integrated Project—Developing the Cost Estimates
and Budget Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand the various types of common project costs. 2. Recognize the difference between various forms of project costs. 3. Apply common forms of cost estimation for project work, including ballpark estimates and
definitive estimates. 4. Understand the advantages of parametric cost estimation and the application of learning curve
models in cost estimation. 5. Discern the various reasons why project cost estimation is often done poorly. 6. Apply both top-down and bottom-up budgeting procedures for cost management. 7. Understand the uses of activity-based budgeting and time-phased budgets for cost estimation
and control. 8. Recognize the appropriateness of applying contingency funds for cost estimation.
Project Profile 257
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Plan Cost Management (PMBoK sec. 7.1) 2. Estimate Costs (PMBoK sec. 7.2) 3. Determine Budget (PMBoK sec. 7.3) 4. Control Costs (PMBoK sec. 7.4)
Project Profile
Sochi olympics—What’s the cost of National Prestige?
The Olympics happen every two years and the focus is usually centered mostly on the athletes, but 2012 proved to be different. Instead, topics of overspending, terroristic threats, graft and corruption in high places, and criminal activities took center stage during these winter games. With an initial budget set at $12 billion, the final price tag on the Sochi Olympics is estimated to have surpassed $51 billion, leaving many people scratching their heads. How could the Winter Games become so expensive and where did all the money go?
Previously, the most expensive games were the 2008 Beijing Summer Olympics. However, at an estimated price tag of $40 billion, that total was still far less than the Sochi Olympics. Summer Olympics are also generally more expensive than the Winter Games due to more events being conducted, the need for venue construction, and the higher housing costs for larger teams. When it comes to hosting the Olympics, it seems that preliminary budgets are quickly abandoned, with higher and higher price tags accruing. Countries view hosting the Olympics as an opportunity to showcase their national achievements, so little effort is made to spare expenses. Even by these standards, the Sochi Olympics set a new standard for profligate spending. Historically, the average budget overspending for Olympics between 1960 and 2012 is 179% in real terms and 324% in nominal terms. The final bill for the Sochi games is far worse than these historical averages.
In 2007, when Russia won the bid to host the Winter Olympics against fellow finalists from South Korea and Austria, it promised to spend $12 billion. Although this figure was reasonable (and perhaps even excessive) at the time, it was quickly overtaken by events involved in developing the Sochi site. The key question: How did the original budget of $12 billion become a final price tag of $51 billion? There are several reasons for the escalating cost of the Sochi Games, including:
1. Although host to the Winter Games, Sochi is actually a subtropical climate. Temperatures average 52 degrees in the winter and 75 degrees in the summer. There are even palm trees in this location. So the majority of the skiing events had to be held in the mountains of Krasnaya Polyana, a distance of about 25 miles from Sochi. The cost of constructing the roadway and infrastructure used to transport athletes and spectators back and forth came to a mind-boggling $9.4 billion. At a price of $220 million per kilometer, the roadway was more expensive than the entire budget of the 2010 Vancouver Winter Olympics.
2. Vladimir Putin, President of Russia, had the goal of developing Sochi as a world-class ski resort in an effort to attract winter tourism to the country. As a result, he was a highly visible spectator throughout the project’s development, offering suggestions and criticisms of the work being done. Rework on several of the venues and facilities added to the final bill.
3. Fears of terrorism and other disruptions led to an unprecedented level of security around the Sochi site. For example, troops from Russia’s Interior Ministry cordoned off the Olympic area to a depth of nearly 20 kilometers to enforce a safe-zone around the Games. The costs of heightened security added significantly to Sochi’s costs.
4. Projects needed to be rebuilt several times due to difficulties with terrain or resource management. For example, state planners did not account for streams that ran beneath the location of the venues. This oversight caused an embankment near Olympic Park to collapse repeatedly due to constant flooding, each time having to be rebuilt. Likewise, construction of the ski jump was budgeted for $40 million. However, because of the complex terrain, the placement had to be adjusted many times. It was also alleged that the necessary geological tests were not conducted before construction started. Trees were removed as needed, leaving several structures constructed on fragile soil that was prone to reoccurring landslides, which caused more rebuilding. In the end, the ski jump was completed, but for $265 million, rather than the initial $40 million estimate.
5. Kickbacks and graft were rumored to be rampant during the years of development, with insiders getting “sweet- heart” deals from the government, and cronyism running rampant.
How bad was the corruption? As journalist Brett Forrest noted: “The Sochi Internal Affairs department has conducted numerous investigations into Olympstroy [the Russian Olympic organizing commission] and filed criminal complaints, alleging that the Olympic agency and its contractors operated a kickback scheme related to the construc- tion of the Olympic stadium, the main hockey rink, and various other properties. The total in stolen funds, according to prosecutors, approaches $800 million.”
(continued)
258 Chapter 8 • Cost Estimation and Budgeting
This may have been only the tip of the iceberg. Besides the speculated kickbacks, a green light was given to all de- velopment schemes around Sochi. Contractors sought to have their projects labeled “Olympic,” knowing that way they would receive generous funding, including easements in zoning and building code regulations. There were also wide- spread allegations of cronyism, as friends and business associates of high-ranking Kremlin officials, including Vladimir Putin, received the choicest contracts. One opposition politician, Boris Nemtsov, criticized the substantial overspending, stating that the total amount embezzled or acquired by Putin’s friends was in the range of $25–$30 billion, or more than half of the total budget for the Olympic Games. Construction companies that won contracts would have to inflate their projected costs in order to make the kickback payments to Russian State managers who had originally awarded the contracts. According to Nemtsov, it did not matter if the construction company had sufficient resources and skills for the project. What mattered was the company’s willingness to return a percentage to the corrupt officials.
Many issues contribute to the reasons why these Olympics became so expensive. Russia had a concept that was budgeted at $12 billion when it started its preparations. History shows most nations exceed their budgets, though not to the excessive degree experienced by Russia in 2014. Ultimately, though, time is a relentless enemy of Olympic venue preparation; there is no possibility of extensions to the schedule. As a result, with the time moving closer to the open- ing of the Games, no expense could be (or was) spared in getting Sochi ready. Without question, enormous (and prob- ably unknowable) sums disappeared to corruption and mismanagement. Nevertheless, the Sochi Games came on time and delivered a smoothly running experience to all who participated or came to watch. And yet, at a final price tag of $51 billion, one can still wonder about the costs of maintaining and enhancing national prestige.1
The price of modern Olympic games
Price per event
Beijing 2008 Sochi 2014
If indirect costs of Beijing Olympics are included,
the event cost the Chinese $43 billion. However,
Beijing hosted 302 events, whereas Sochi will host 98.
Analysis of sports-related costs for games between 1960 and 2014
Initial budget Budget overrun
Sochi1 2014 London 2012
Vancouver 2010
Beijing 2008
Torino 2006
Athens 2004
Salt Lake City 2002
Sydney 2000
$142 million
$520 million
Nagano 1998
Atlanta 1996
Lillehammer 1994
Barcelona 1992
Albertville 1992
Calgary 1988
Lake Placid 1980
Montreal 1976
Grenoble 1968
0 10
Billions ($)2 1Estimate includes indirect costs. 2Cost adjusted to USD2009, except for Sochi.
20
Data: International Olympic Committee, Time Inc.
Bent Flyvbjerg & Allison Stewart, University of OxfordAkshat Rathi | theconversation.com
30 40 50
Summer
Winter
Figure 8.1 Sochi Winter olympics costs
Source: B. Flyvbjerg and A Stewart. (2012). “Olympic proportions: Cost and cost overrun at the Olympics 1960–2012.” Said Business School Working Papers, Oxford: University of Oxford.
8.1 Cost Management 259
8.1 Cost ManageMent
Cost management is extremely important for running successful projects. The management of costs, in many ways, reflects the project organization’s strategic goals, mission statement, and business plan. Cost management has been defined to encompass data collection, cost accounting, and cost control,2 and it involves taking financial-report information and applying it to projects at finite levels of accountability in order to maintain a clear sense of money management for the project.3 Cost accounting and cost control serve as the chief mechanisms for identifying and main- taining control over project costs.
Cost estimation is a natural first step in determining whether or not a project is viable; that is, can the project be done profitably? cost estimation processes create a reasonable budget baseline for the project and identify project resources (human and material) as well, creating a time-phased budget for their involvement in the project. In this way, cost estimation and project budgeting are linked hand in hand: The estimates of costs for various components of the project are developed into a comprehensive project budgeting document that allows for ongoing project tracking and cost control.
During the development stage of the proposal, the project contractor begins cost estimation by identifying all possible costs associated with the project and building them into the initial pro- posal. While a simplified model of cost estimation might only require a bottom-line final figure, most customers will wish to see a higher level of detail in how the project has been priced out, that is, an itemization of all relevant costs. For example, a builder could simply submit to a potential home buyer a price sheet that lists only the total cost of building the house, but it is likely that the buyer will ask for some breakdown of the price to identify what costs will be incurred where. Some of the more common sources of project costs include:
1. Labor—Labor costs are those associated with hiring and paying the various personnel involved in developing the project. These costs can become complex, as a project requires the services of various classifications of workers (skilled, semiskilled, laborers) over time. At a minimum, a project cost estimation must consider the personnel to be employed, salary and hourly rates, and any overhead issues such as pension or health benefits. A preliminary estimate of workers’ exposure to the project in terms of hours committed is also needed for a reasonable initial estimate of personnel costs.
2. Materials—Materials costs apply to the specific equipment and supplies the project team will require in order to complete project tasks. For building projects, materials costs are quite large and run the gamut from wood, siding, insulation, and paint to shrubbery and paving. For many other projects, the actual materials costs may be relatively small, for example, the purchase of a software package that allows rapid compiling of computer code. Likewise, many projects in the service industries may involve little or no materials costs whatsoever. Some materials costs can be charged against general company overhead; for example, the use of the firm’s mainframe computer may be charged to the project on an “as used” basis.
3. Subcontractors—When subcontractors provide resources (and in the case of consultants, expertise) for the project, their costs must be factored into the preliminary cost estimate for the project and be reflected in its budget. One subcontractor cost, for example, could be a charge to hire a marketing communications professional to design the project’s promotional mate- rial; another might be costs for an industrial designer to create attractive product packaging.
4. Equipment and facilities—Projects may be developed away from the firm’s home office, requiring members of the project team to work “off site.” Firms commonly include rental of equipment or office facilities as a charge against the cost of the project. For example, oil com- panies routinely send four- or five-person site teams to work at the headquarters of major subcontractors for extended periods. The rental of any equipment or facility space becomes a cost against the project.
5. Travel—If necessary, expenses that are related to business travel (car rentals, airfare, hotels, and meals) can be applied to the project as an up-front charge.
Another way to examine project costs is to investigate the nature of the costs themselves. Among the various forms of project costs are those related to type (direct or indirect), frequency of occurrence (recurring or nonrecurring), opportunity to be adjusted (fixed or variable), and schedule (normal or expedited). We will examine each of these types of project costs in turn in this chapter.
260 Chapter 8 • Cost Estimation and Budgeting
Direct Versus indirect Costs
direct costs are those clearly assigned to the aspect of the project that generated the cost. Labor and materials may be the best examples. All labor costs associated with the workers who actually build a house are considered direct costs. Some labor costs, however, might not be viewed as direct costs for the project. For example, the costs of support personnel, such as the project’s cost accoun- tant or other project management resources, may not be allocated directly, particularly when their duties consist of servicing or overseeing multiple, simultaneous projects. In a nonproject setting such as manufacturing, it is common for workers to be assigned to specific machinery that oper- ates on certain aspects of the fabrication or production process. In this case, labor costs are directly charged against work orders for specific parts or activities.
The formula for determining total direct labor costs for a project is straightforward:
Total direct labor costs = (Direct labor rate) (Total labor hours)
The direct costs of materials are likewise relatively easy to calculate, as long as there is a clear understanding of what materials are necessary to complete the project. For example, the direct costs of building a bridge or hosting a conference dinner for 300 guests can be estimated with fair accuracy. These costs can be applied directly to the project in a systematic way; for example, all project purchase orders (POs) can be recorded upon receipt of bills of materials or sales and applied to the project as a direct cost.
indirect costs, on the other hand, generally are linked to two features: overhead, and sell- ing and general administration. Overhead costs are perhaps the most common form of indirect costs and can be one of the more complex forms in estimating. Overhead costs include all sources of indirect materials, utilities, taxes, insurance, property and repairs, depreciation on equipment, and health and retirement benefits for the labor force. Common costs that fall into the selling and general administration category include advertising, shipping, salaries, sales and secretarial sup- port, sales commissions, and similar costs. Tracing and linking these costs to projects is not nearly as straightforward as applying direct costs, and the procedures used vary by organization. Some organizations charge a flat rate for all overhead costs, relative to the direct costs of the project. For example, some universities that conduct research projects for the federal government use a percentage multiplier to add administrative and overhead indirect costs to the proposal. The most common range for such indirect multiplier rates is from 20% to over 50% on top of direct costs. Other firms allocate indirect costs project by project, based on individual analysis. Whichever approach is preferred, it is important to emphasize that all project cost estimates include both direct and indirect cost allocations.
exaMple 8.1 Developing Fully Loaded Labor Costs
Suppose that we are attempting to develop reasonable cost estimation for the use of a senior pro- grammer for a software project. The programmer is paid an annual salary of $75,000, which trans- lates to an hourly rate of approximately $37.50/hour. The programmer’s involvement in the new project is expected to be 80 hours over the project’s life. Remember, however, that we also need to consider overhead charges. For example, the company pays comprehensive health benefits and retirement, charges the use of plant and equipment against the project, and so forth. In order to cover these indirect costs, the firm uses an overhead multiplier of 65%. Employing an overhead multiplier is sometimes referred to as the fully loaded rate for direct labor costs. Thus, the most ac- curate calculation of the programmer’s charge against the project would look like this:
Hourly rate Hours needed Overhead charge Fully loaded labor cost ($37.50)
* (80)
* (1.65) = $4,950
Some have argued that a more realistic estimate of fully loaded labor costs for each person assigned to the project would reflect the fact that no one truly works a full 8-hour day as part of the job. An allowance for a reasonable degree of personal time during the workday is simply recogni- tion of the need to make personal calls, have coffee breaks, walk the hallways to the restroom, and so forth. Meredith and Mantel (2003) have argued that if such personal time is not included in the
8.1 Cost Management 261
original total labor cost estimate, a multiplier of 1.12 should be used to reflect this charge, increas- ing the fully loaded labor cost of our senior programmer to:4
Hours Overhead Personal Hourly rate * needed * charge * Time =
($37.50) (80) (1.65) (1.12)
Fully loaded labor cost
$5,544
One other point to consider regarding the use of overhead (indirect costs) involves the manner in which overhead may be differentially applied across job categories. In some firms, for example, a distinction is made between salaried and nonsalaried employees. Thus, two or more levels of overhead percentage may be used, depending upon the category of personnel to which they are applied. Suppose that a company applied a lower overhead rate (35%) to hourly workers, reflect- ing the lesser need for contributions to retirement or health insurance. The calculated fully loaded labor cost for these personnel (even assuming a charge for personal time) would resemble the following:
Hours Overhead Personal Hourly rate * needed * charge * Times =
($12.00) (80) (1.35) (1.12)
Fully loaded labor cost $1,451.52
The decision to include personal time requires input from the project’s client. Whichever approach is taken, a preliminary total labor cost budget table can be constructed when the process is completed, as shown in Table 8.1. This table assumes a small project with only five project team personnel, whose direct labor costs are to be charged against the project without a personal time charge included.
recurring Versus nonrecurring Costs
Costs can also be examined in terms of the frequency with which they occur; they can be recurring or nonrecurring. nonrecurring costs might be those associated with charges applied once at the beginning or end of the project, such as preliminary marketing analysis, personnel training, or out- placement services. recurring costs are those that typically continue to operate over the project’s life cycle. Most labor, material, logistics, and sales costs are considered recurring because some budgetary charge is applied against them throughout significant portions of the project devel- opment cycle. In budget management and cost estimation, it is necessary to highlight recurring versus nonrecurring charges. As we will see, this becomes particularly important as we begin to develop time-phased budgets—those budgets that apply the project’s baseline schedule to pro- jected project expenditures.
Fixed Versus Variable Costs
An alternative designation for applying project costs is to identify fixed and variable costs in the project budget. fixed costs, as their title suggests, do not vary with respect to their usage.5 For example, when leasing capital equipment or other project hardware, the leasing price is likely not
table 8.1 Preliminary cost estimation for fully loaded labor
Personnel title Salary (Hourly) Hours Needed overhead rate Applied
fully loaded labor cost
Linda Lead Architect $35/hr 250 1.60 $14,000.00 Alex Drafter—Junior $20/hr 100 1.60 3,200.00 Jessica Designer—Intern $8.50/hr 80 1.30 884.00 Todd Engineer—Senior $27.50/hr 160 1.60 7,040.00 Thomas Foreman $18.50/hr 150 1.30 3,607.50 Total $28,731.50
262 Chapter 8 • Cost Estimation and Budgeting
to go up or down with the amount of usage the equipment receives. Whether a machine is used for 5 hours or 50, the cost of its rental is the same. When entering fixed-rate contracts for equip- ment, a common decision point for managers is whether the equipment will be used sufficiently to justify its cost. variable costs are those that accelerate or increase through usage; that is, the cost is in direct proportion to the usage level. Suppose, for example, we used an expensive piece of drill- ing equipment for a mining operation. The equipment degrades significantly as a result of use in a particularly difficult geographical location. In this case, the variable costs of the machinery are in direct proportion to its use. It is common, in many cases, for projects to have a number of costs that are based on fixed rates and others that are variable and subject to significant fluctuations either upward or downward.
normal Versus expedited Costs
normal costs refer to those incurred in the routine process of working to complete the project according to the original, planned schedule agreed to by all project stakeholders at the beginning of the project. Certainly, this planned schedule may be very aggressive, involving extensive over- time charges in order to meet the accelerated schedule; nevertheless, these costs are based on the baseline project plan. expedited costs are unplanned costs incurred when steps are taken to speed up the project’s completion. For example, suppose the project has fallen behind schedule and the decision is made to “crash” certain project activities in the hopes of regaining lost time. Among the crashing costs could be expanded use of overtime, hiring additional temporary workers, contract- ing with external resources or organizations for support, and incurring higher costs for transporta- tion or logistics in speeding up materials deliveries.
All of the above methods for classifying costs are linked together in Table 8.2.6 Across the top rows are the various classification schemes, based on cost type, frequency, adjustment, and schedule. The left-side column indicates some examples of costs incurred in develop- ing a project. Here we see how costs typically relate to multiple classification schemes; for example, direct labor is seen as a direct cost, which is also recurring, fixed, and normal. A building lease, on the other hand, may be classified as an indirect (or overhead) cost, which is recurring, fixed, and normal. In this way, it is possible to apply most project costs to multiple classifications.
8.2 Cost estiMation
Estimating project costs is a challenging process that can resemble an art form as much as a science. Two important project principles that can almost be called laws are at work in cost estimation. First, the more clearly you define the project’s various costs in the beginning, the less chance there is of making estimating errors. Second, the more accurate your initial cost estimations, the greater the likelihood of preparing a project budget that accurately reflects reality for the project and the greater your chances of completing the project within budget estimates.
One key for developing project cost estimates is to first recognize the need to cost out the project on a disaggregated basis; that is, to break the project down by deliverable and work pack- age as a method for estimating task-level costs. For example, rather than attempt to create a cost estimate for completing a deliverable of four work packages, it is typically more accurate to first identify the costs for completing each work package individually and then create a deliverable cost estimate, as Table 8.3 illustrates.
table 8.2 cost classifications
type frequency Adjustment Schedule
costs Direct indirect recurring Nonrecurring fixed Variable Normal expedited
Direct Labor X X X X Building Lease X X X X Expediting Costs X X X X Material X X X X
8.2 Cost Estimation 263
Companies use a number of methods to estimate project costs, ranging from the highly tech- nical and quantitative to the more qualitative approaches. Among the more common cost estima- tion methods are the following:7
1. Ballpark estimates—Sometimes referred to as order of magnitude estimates, ballpark esti- mates are typically used when either information or time is scarce. Companies often use them as preliminary estimates for resource requirements or to determine if a competitive bid can be attempted for a project contract. For example, a client may file an RFQ (request for quote) for competitive bids on a project, stating a very short deadline. Managers would have little time to make a completely accurate assessment of the firm’s qualifications or requirements, but they could still request ballpark estimates from their personnel to deter- mine if they should even attempt to bid the proposal through a more detailed analysis. The unofficial rule of thumb for ballpark estimates is to aim for an accuracy of ±30%. With such a wide variance plus or minus, it should be clear that ballpark estimates are not intended to substitute for more informed and detailed cost estimation.
2. comparative estimates—Comparative estimates are based on the assumption that histori- cal data can be used as a frame of reference for current estimates on similar projects. For example, Boeing Corporation routinely employs a process known as parametric estimation, in which managers develop detailed estimates of current projects by taking older work and inserting a multiplier to account for the impact of inflation, labor and materials increases, and other reasonable direct costs. This parametric estimate, when carefully performed, allows Boeing to create highly accurate estimates when costing out the work and preparing detailed budgets for new aircraft development projects. Even in cases where the technology is new or represents a significant upgrade over old technologies, it is often possible to gain valuable insight into the probable costs of development, based on historical examples.
Boeing is not the only firm that has successfully employed parametric cost estimation. Figure 8.2 shows a data graph of the parametric estimation relating to development of the Concorde aircraft in the 1960s. The Concorde represented such a unique and innovative air- frame design that it was difficult to estimate the amount of design time required to complete the schematics for the airplane. However, using parametric estimation and based on experi- ences with other recently developed aircraft, a linear relationship was discovered between the number of fully staffed weeks (Concorde referred to this time as “manweeks”) needed to design the aircraft and its projected cruising speed. That is, the figure demonstrated a direct relationship between the cruising speed of the aircraft and the amount of design time neces- sary to complete the schematics. Using these values, it was possible to make a reasonably accurate cost projection of the expected budget for design, demonstrating that in spite of sig- nificant changes in airplane design over the past decades, the relationship between cruising speed and design effort had held remarkably steady.
Effective comparative estimates depend upon some important supplementary sources including a history of similar projects and a detailed archive of project data that includes the technical, budgetary, and other cost information. Adjusting costs to account for inflation simply becomes a necessary step in the process. The key to making com- parative estimates meaningful lies in the comparability to previous project work. It makes little sense to compare direct labor costs for two projects when the original was done in a foreign country with different wage rates, overhead requirements, and so forth. Although some argue that comparative cost estimation cannot achieve a degree of accuracy closer
table 8.3 Disaggregating Project Activities to create reasonable cost estimates
Project Activities estimated cost
Deliverable 1040—Site Preparation Work Package 1041—Surveying $ 3,000 Work Package 1042—Utility line installation 15,000 Work Package 1043—Site clearing 8,000 Work Package 1044—Debris removal 3,500 Total cost for Deliverable 1040 $29,500
264 Chapter 8 • Cost Estimation and Budgeting
than ;15%, in some circumstances the estimate may be much more accurate and useful than that figure indicates.
3. feasibility estimates—These estimates are based as a guideline on real numbers, or figures derived after the completion of the preliminary project design work. Following initial scope development, it is possible to request quotes from suppliers and other subcontractors with a greater degree of confidence, particularly as it is common to engage in some general sched- uling processes to begin to determine the working project baseline. Feasibility estimates are routinely used for construction projects, where there are published materials cost tables that can give reasonably accurate cost estimates for a wide range of project activities based on an estimate of the quantities involved. Because they are developed farther down the life cycle, feasibility estimates are often expressed in terms of a degree of accuracy of ;10%.
4. definitive estimates—These estimates can be given only upon the completion of most design work, at a point when the scope and capabilities of the project are quite well understood. At this point all major purchase orders have been submitted based on known prices and availabilities, there is little or no wiggle room in the project’s specifications, and the steps to project completion have been identified and a comprehensive project plan is in place. Because it is understood that cost estimation should naturally improve with time, as more information becomes available and fewer project unknowns remain unresolved, definitive estimates should accurately reflect the expected cost of the proj- ect, barring unforeseen circumstances, at completion. Hence, definitive estimates can be expected to have an accuracy of ;5%. We saw in previous chapters that some projects may offer very thin profit margins; for example, in the case of fixed-cost contracts, the project organization assumes almost all risk for completing the project according to origi- nally agreed-on contract terms. As a result, the better the job we do in estimating costs, the more likely we will be to maintain the profit margin contracted.
Design manweeks to first service (thousands) per passenger
20
10 8
6
4
2
1 0.8
0.6
0.4
0.2
0.1 0.08 0.06
0.04
0.02
0.01
10 20
Cruising speed (kts)
40 60 80 100 200 400
de Havilland DH 4
Junkers Ju 52/3m
Douglas DC-3
Douglas DC-6
Boeing 707
Boeing 747
BAC-SNIAS Concorde
Fokker VII
600 1000 2000
Figure 8.2 Parametric estimate for Design costs for concorde
Note: Plot of design effort versus cruising speed for significant commercial aircraft types.
8.2 Cost Estimation 265
Which cost estimation approach should a project organization employ? The answer to this question presupposes knowledge of the firm’s industry (e.g., software development vs. construc- tion), ability to account for and manage most project cost variables, the firm’s history of success- ful project management, the number of similar projects the firm has completed in the past, the knowledge and resourcefulness of project managers, and the company’s budgeting requirements. In some instances (e.g., extremely innovative research and development projects), it may be impos- sible to create cost estimates with more than a ±20% degree of accuracy. On the other hand, in some projects such as events management (e.g., managing a conference and banquet), it may be reasonable to prepare definitive budgets quite early in the project. For example, while cost estima- tion can involve significant calculations and some amount of guesswork for certain types of proj- ects, in other cases, project managers and cost estimators are able to calculate project costs with a much greater degree of accuracy. Many construction projects, particularly in standard residential and commercial building, employ estimates based on relatively stable historical data that makes it much easier to determine costs with good accuracy. To illustrate, Internet sites such as RSMeans. com, developed by Reed Construction Data, or CostDataOnLine.com include building cost cal- culators that are able to predict construction costs (including assumptions about labor rates, cost of living adjustments for location, square footage, type of building) with a reasonable degree of accuracy (see Figure 8.3).
RSMeans QuickCost Estimator
Project Title:
Model:
Construction:
Location:
Stories:
Story Height (I.f.):
Floor Area (s.f.):
Data Release:
Wage Rate:
Basement:
Do You Need a More Comprehensive Estimate With Current Cost Data and Your Own Detailed Project Specifications?
[click here to view a sample report]
Access the Custom Cost Estimator, a paid subscription service, to reference a comprehensive library of square foot models updated
and localized for the United States to create a customized online estimate specific to your individual project! - All from RSMeans,
These costs are not exact and are intended only as a preliminary guide to possible project cost. Actual project cost may vary greatly
depending on many factors. RSMeans uses diligence in preparing the information contained here. RSMeans does not make any warranty or guarantee as to the
accuracy, correctness, value, sufficiency or completeness of the data or resulting project cost estimates. RSMeans shall have no liability for any loss, expense or damage arising out of or in connection with the information contained herein.
Costs are derived from a building model with basic components. Scope differences and market conditions can cause costs to vary significantly.
Sample Project
Apartment, 1-3 Story
Face Brick with Concrete Block Back-up/Wood Joists
VANCOUVER, BC
3
10
2,500
Year 2012 Quarter 3
Union
Not included
Cost Ranges
Total:
Contractor’s Overhead & Profit:
Architectural Fees:
Total Building Cost:
$826,650
$206,550
$82,800
$1,116,000
$918,500
$229,500
$92,000
$1,240,000
$1,148,125
$286,875
$115,000
$1,550,000
Low Med High
Figure 8.3 Sample cost estimator Using rSMeans.com Web Site
Source: Copyright RSMeans 2014- RSMeans Square Foot Models www.rsmeans.com/ estimator/qce/qce_result.asp
266 Chapter 8 • Cost Estimation and Budgeting
The key to cost estimation lies in a realistic appraisal of the type of project one is undertaking, the speed with which various cost estimates must be created, and the comfort level top manage- ment has with cost estimation error. If the information is available, it is reasonable to expect the project team to provide as accurate a cost estimate as possible, as early in the project as possible. Figure 8.4 shows a sample project cost estimation form.
learning Curves in Cost estimation
Cost estimation, particularly for labor hours, often takes as its assumption a steady or uniform rate at which work is done. In the case of having to perform multiple activities, the amount of time necessary to complete the first activity is not significantly different from the time necessary
ESTIMATE AND QUOTATION SHEET
Project No. Description: Type No.
Work Package No. Task No. Estimate No.
Work Package Description:
Task Description:
Internal Labor
Skill Category Rate Hours Cost
Senior Test Engineer TE4 18.50 40 $ 740.00
Test Engineer TE3 14.00 80 1,120.00
Fitter PF4 13.30 30 399.00
Drafter DR2 15.00 15 225.00
Drawing Checker DR3 16.50 3 49.50
Subtotal, Hours and Costs 168 $2,533.50
Labor Contingency (10%) 17 254.00
Total Labor, Hours and Costs 185 $2,787.50
Overhead (80%) 2,230.00
Gross Labor Cost $5,017.50
Bought-Out Costs
Materials (Specify): Bolts plus cleating material $ 20.00
Finished Goods (Specify): N/A
Services and Facilities: Hire test house; instrumentation plus report
12,300.00
Subcontract Manufacture (Specify): Fixture and bolt modification 250.00
Subtotal $12,570.00
Contingency (15%) 1,885.50
Total Bought-Out Costs $14,455.50
Expenses
Specify: On-site accommodation plus traveling $ 340.00
Total Bought-Out Costs and Expenses $14,795.50
Profit %: N/A
Total Quoted Sum: Gross Labor plus Bought-Out Costs and Expenses $19,813.00
Compiled by:
Approved: Date
Figure 8.4 Sample Project Activity cost estimating Sheet
8.2 Cost Estimation 267
to complete the nth activity. For example, in software development, it may be considered standard practice to estimate each activity cost independently of other, related activities with which the programmer is involved. Therefore, in the case of a programmer required to complete four work assignments, each involving similar but different coding activities, many cost estimators will sim- ply apply a direct, multiplicative rule-of-thumb estimate:
Number of times Cost of activity * activity is repeated =
($8,000) (4) Total cost estimate
$32,000
When we calculate that each actual coding sequence is likely to take approximately 40 hours of work, we can create the more formal direct cost budget line for this resource. Assuming an over- head rate of .60 and a cost per hour for the programmer’s services of $35/hour, we can come up with a direct billing charge of:
Wage Unit Overhead Rate Hours/Unit ($35/hr)
* (4 iterations)
* (1.60)
* (40 hours) =
$8,960
Although this rule of thumb is simple, it may also be simplistic. For example, is it reasonable to suppose that in performing similar activities, the time necessary to do a coding routine the fourth time will take as long as it took to do it the first time? Or is it more reasonable to suppose that the time needed (and hence, cost) of the fourth iteration should be somewhat shorter than the earlier times?
These questions go to the heart of a discussion of how learning curves affect project cost estimation.8 In short, experience and common sense teach us that repetition of activities often leads to reduction in the time necessary to complete the activity over time. Some research, in fact, supports the idea that performance improves by a fixed percentage each time produc- tion doubles.9
Let us assume, for example, that the time necessary to code a particular software routine is estimated at 20 hours of work for the first iteration. Doing the coding work a second time requires only 15 hours. The difference between the first and second iteration suggests a learning rate of .75 (15/20). We can now apply that figure to estimates of cost for additional coding iterations. When output is doubled from the first two routines to the required four, the time needed to complete the fourth unit is now estimated to take:
15 hrs. (.75) = 11.25 hours
These time and cost estimates follow a well-defined formula,10 which is the time required to produce the steady state unit of output, and is represented as:
Yx = aX b
where Yx = the time required for the steady state, x, unit of output
a = the time required for the initial unit of output X = the number of units to be produced to reach the steady state b = the slope of the learning curve, represented as: log decimal learning rate/log 2
Assume the need to conduct a project cost estimation in the case of construction, where one resource will be tasked to perform multiple iterations of a similar nature (e.g., fitting, riveting, and squaring). The worker must do a total of 15 of these activities to reach the steady state. Also assume that the time estimated to perform the last iteration (the steady state) is 1 hour, and we know from past experience the learning rate for this highly repetitive activ- ity is .60. In calculating the time necessary to complete the first activity, we would apply
268 Chapter 8 • Cost Estimation and Budgeting
these values to the formula to determine the value of a, the time needed to complete the task the first time:
b = log 0.60/log 2 = - 0.2219/0.31 = - 0.737
1 hr. = a(15)-0.737
a = 7.358 hours
Note that the difference between the first and fifteenth iteration of this activity represents a change in duration estimation (and therefore, cost) from over 7 hours for the first time the task is per- formed to 1 hour for the steady state. The difference this learning curve factor makes in project cost estimates can be significant, particularly when a project involves many instances of repetitive work or large “production runs” of similar activities.
exaMple 8.2 Learning Curve Estimates
Let’s return to the earlier example where we are trying to determine the true cost for the senior programmer’s time. Recall that the first, linear estimate, in which no allowance was made for the learning curve effect, was found to be:
($35/hr) (4 iterations) (1.60) (40 hours) = $8,960
Now we can apply some additional information to this cost estimate in the form of better knowl- edge of learning-rate effects. Suppose, for example, that the programmer’s learning rate for coding is found to be .90. The steady state time to code the sequence is 40 hours. Our estimate of the time needed for the first coding iteration is:
b = log 0.90/log 2 = - 0.0458/0.301 = - 0.1521
40 hrs. = a(4)-0.1521
a = 49.39 hours
Thus, the first unit would take 9.39 hours longer than the steady state 40 hours. For this programming example, we can determine the appropriate unit and total time multipliers for the calculated initial unit time by consulting tables of learning curve coefficients (multipliers) derived from the formula with a = 1. We can also calculate unit and total time multipliers by identifying the unit time multipli- ers from 1 to 3 units of production (coding sequences) with a learning rate of .90. We use the units 1 to 3 because we assume that by the fourth iteration, the programmer has reached the steady state time of 40 hours. Based on a = 1, the unit time learning curve coefficients are 1-0.5121 = 1, 2-0.1521 = 0.90, and 3-0.1521 = .846, for a total time multiplier of 2.746. Therefore, the time needed to code the first three sequences is:
Total time Time required Total time to program multiplier * for initial unit = first three sequences
(2.746) (49.39) 135.62 hours
8.2 Cost Estimation 269
Because the steady state time of 40 hours occurs for the final coding iteration, total coding time required for all four sequences is given as:
135.62 + 40 = 175.62
The more accurate direct labor cost for the coding activities is:
Wage *
Overhead Rate *
Total Hours ($35/hr) (1.60) (175.62 hours) =
$9,834.72
Compare this figure to the original value of $8,960 we had calculated the first time, which understated the programming cost by $874.72. The second figure, which includes an allowance for learning curve effects, represents a more realistic estimate of the time and cost required for the programmer to complete the project activities.
In some industries it is actually possible to chart the cost of repetitive activities to accurately adjust cost estimation for learning curves. Note the curve relating time (or cost) against activity rep- etition shown in Figure 8.5.11 The learning curve effect here shows savings in time as a function of the sheer repetition of activities found in many projects. Some operations management books offer tables that show the total time multiplier, based on the learning rate values multiplied by the number of repetitive iterations of an activity.12 Using these multipliers, the savings in revising cost estimates downward to account for learning curve effects can be significant. However, there is one important caveat: Learning curve effects may occur differentially across projects; projects with redundant work may allow for the use of learning curve multipliers while other projects with more varied work will not. Likewise, it may be more likely to see learning curve effects apply in greater proportion to proj- ects in some industries (say, for example, construction) than in others (such as research and develop- ment). Ultimately, project budgets must be adjusted for activities in which learning curve effects are likely to occur, and these effects must be factored into activity cost estimates.
Increasingly, project contracts are coming to reflect the impact of learning curves for repetitive operations. For example, in the automotive industry, the manufacturer of hydraulic cylinders may be given a contract for the first year to provide cylinders at a price of $24 each. Each year after, the cost of the cylinder sold to the automobile maker is priced at $1 less per year, under the assumption that learning curves will allow the cylinder manufacturer to produce the product at a steadily lower cost. Thus, learning curves are factored into the value of long-term contracts.13
50
40
30
20
10
0 0 20 40
Repetition
T im
e (
C o
s t)
60 80 100
Figure 8.5 Unit learning curve log-linear Model
Source: J. P. Amor and C. J. Teplitz. (1998). “An efficient approximation for project composite learning curves,” Project Management Journal, 29(3), pp. 28–42, figure on page 36. Copyright © 1998 by Project Management Institute Publications. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
Note: Graph on arithmetic coordinates.
270 Chapter 8 • Cost Estimation and Budgeting
software project estimation—Function points
Evidence from Chapter 1 and Box 8.1 (Software Cost Estimation) highlights the difficulties in developing realistic estimates for large-scale software projects. The track record is not encourag- ing: More and more software projects are overshooting their schedule and cost estimates, often by significant amounts. One of the reasons is simply due to the nature of uncertainty in these projects. We can make estimates of cost, but without a clear sense of the nature of the software,
Box 8.1
Project Management research in Brief
Software Cost Estimation
The software project industry has developed a notorious reputation when it comes to project performance. Past research by the Standish Group14 found that for large companies, less than 9% of IT projects are com- pleted on schedule and at budget. Over 50% of these projects will cost 189% of their original budget, while the average schedule overrun is 202%. A recent study of 5,400 IT projects conducted by McKinsey and Company and Oxford University found that on average, large IT projects run 45% over budget and 7% over time while delivering 56% less value than predicted. In fact, 17% of IT projects are such a disaster that they can threaten the very existence of the company.15 Clearly, from both cost and schedule estimation per- spectives, the industry is frustrated by unrealistic expectations. In spite of recent improvements in software development cost, schedule, and effort estimation, using Constructive Cost Estimating models (COCOMO II), required by several branches of the federal government when bidding software contracts, our lack of ability to accurately predict software project costs remains a serious concern.16
A book by Steven McConnell, president of Construx Software,17 sheds light on some of the key reasons why software projects suffer from such a poor track record. Among his findings is the common failure to bud- get adequate time and funding for project activities that are likely to vary dramatically, depending upon the size of the project. He distinguished among six software project activities: (1) architecture, (2) detailed design, (3) coding and debugging, (4) developer testing, (5) integration, and (6) system testing. McConnell deter- mined that for small IT projects of 2,000 lines of code or less, 80% of the project work consisted of just three activities: detailed design, coding and debugging, and unit testing (see Figure 8.6). However, as the complexity of the software projects increased, the proportion of these activities to the overall project cost dropped dra- matically. Projects of over 128,000 lines of code required significantly more attention to be paid to the other three activities: architecture, integration, and system testing (about 60% of total effort).
The implications of this research suggest that IT project budgets must consider the size of the project as they calculate the costs of each component (work package). Larger projects resulting in hundreds of thou- sands of lines of code require that a higher proportion of the budget be allocated to software architecture and testing, relative to the actual cost of construction (design, coding, and unit testing).
System testing
Unit testing
Coding and debugging
Detailed design
100%
0% 2K 8K 32K 128K 512K
Integration
Construction
Project Size in Lines of Code
Percentage of Development
Time
Architecture
Figure 8.6 Software Project Development Activities as a function of Size
Source: From Code Complete, 2d ed. (Microsoft Press, 2004), by Steve McConnell. Used with permission of the author.
8.2 Cost Estimation 271
the size of the program, and its functionality, these are often just best guesses and are quickly found to be inadequate.
function point analysis is a system for estimating the size of software projects based on what the software does. To build any system, you need time to create files that hold informa- tion and interfaces to other screens (files and interfaces). You also need to create input screens (inputs), enquiry screens (queries), and reports (outputs). If you count all the files, interfaces, inputs, queries, and outputs, you can begin estimating the amount of work to be undertaken. The measure then relates directly to the business requirements that the software is intended to address. It can therefore be readily applied across a wide range of development environments and throughout the life of a development project, from early requirements definition to full operational use.
Simply stated, function points are a standard unit of measure that represents the functional size of a software application. In the same way that a house is measured by the square feet it pro- vides, the size of an application can be measured by the number of function points it delivers to the users of the application. As part of that explanation, it is critically important to recognize that the size of the application being measured is based on the user’s view of the system. It is based on what the user asked for, not what is delivered. Further, it is based on the way the user interacts with the system, including the screens that the user accesses to enter input, and the reports the user receives as output.
We know that it takes different amounts of time to build different functions; for example, it may take twice as long to build an interface table as an input table. Once we have a general sense of the relative times for each of the functions of the system, we have to consider additional factors to weight these estimates. These factor weightings are based on “technical complexity” and “environmental complexity.” Technical complexity assesses the sophistication of the application to be built. Are we developing a complex model to determine the multiple paths of geosynchro- nous orbiting satellites or are we simply creating a database of customer names and addresses? Environmental complexity considers the nature of the setting in which the system is designed to work. Will it support a single user on one PC or a wide-area network? What computer language will the application be written in? A relatively streamlined and commonplace language such as Visual Basic requires less work than a more complex language and, consequently, we would assume that programmers could be more productive (generate more function points). These func- tion points are adjusted for such complexity factors and then summed to determine a reasonable cost estimate for developing the software system.
Let’s take a simple example: Suppose a local restaurant commissioned our firm to develop a replenishment and ordering system to ensure that minimum levels of foods and beverages are maintained at all times. The restaurant wants the application to have a reasonable number of input screens, output screens, a small number of query options and interfaces, but large and detailed report generation capabilities. Further, we know from past experience that one program- mer working for one month (a “person-month”) at our firm can generate an average of 10 function points. Finally, based on our company’s past history, we have a set of average system technical and environmental complexity weightings that we can apply across all functions (see Table 8.4). For example, we know that in building an input function for the application, a system with high complexity is approximately three times more complicated (and requires more effort) than one with low complexity.
table 8.4 complexity Weighting table for function Point Analysis
complexity Weighting
function low Medium High total
Number of Inputs 2 : ____ = 4 : ____ = 6 : ____ = Number of Outputs 4 : ____ = 6 : ____ = 10 : ____ = Number of Interfaces 3 : ____ = 7 : ____ = 12 : ____ = Number of Queries 5 : ____ = 10 : ____ = 15 : ____ = Number of Files 2 : ____ = 4 : ____ = 8 : ____ =
272 Chapter 8 • Cost Estimation and Budgeting
With this information, we can apply the specific system requirements from the client to construct a function point estimate for the project. Suppose we determined (from our interviews with the restaurant owners) that the estimate for relative complexity was inputs (medium), out- puts (high), interfaces (low), queries (medium), and files (low). Further, we know that the clients require the following number of each function: input screens (15), output screens (20), interfaces (3), queries (6), and report files (40). We can combine this information with our historic weightings for complexity to create Table 8.5.
Table 8.5 shows the results of combining our estimates for complexity of various programming functions with the requirements of the client for system features, including numbers of screens and other elements for each function. The result is our estimate that the project will require approximately 409 function points. We know that our organization estimates that each resource can perform 10 func- tion points each “person-month.” Therefore, we calculate the expected number of person-months to complete this job as 409/10 = 40.1. If we assigned only four programmers to this job, it would take approximately 10 months to complete. On the other hand, by assigning our entire staff of 10 program- mers, we would expect to complete the job in just over four months. Cost estimation using this infor- mation is straightforward: If our average resource cost per programmer is $5,000/month, we multiply this figure by 40.1 to determine that our estimated cost for completing the job is $200,500.
Function point analysis is not an exact science. Complexity determinations are based on his- torical estimates that can change over time and so must be continuously updated. Further, they may not be comparable across organizations with differing estimation procedures and standards for technical complexity. Nevertheless, function point analysis does give organizations a useful system for developing cost estimates for software projects, a historically difficult class of projects to estimate with any accuracy.18
problems with Cost estimation
In spite of project management’s best efforts, a variety of issues affect the ability to conduct reason- able and accurate project cost estimates. Highly innovative projects can be notoriously difficult to estimate in terms of costs. Surprisingly, however, even projects that are traditionally viewed as highly structured, such as construction projects, can be susceptible to ruinously expensive cost overruns. Among the more common reasons for cost overruns are:19
1. Low initial estimates—Caused by misperception of the scope of the project to be under- taken, low initial estimates are a double-edged sword. In proposing the low estimates at the start of a project, management is often setting themselves up to fail to live up to the budget constraints they have imposed. Hence, low estimates, which may be created either willingly (in the belief that top management will not fund a project that is too expensive) or unwill- ingly (through simple error or neglect), almost always guarantee the result of cost overrun. Part of the reason why initial estimates may be low can be the failure to consider the project in relation to other organizational activities. If we simply cost-out various project activities without considering the other surrounding organizational activities, we can be led to assume the project team member is capable of performing the activity in an unrealistic amount of time. (See Chapter 11 on critical chain project scheduling.)
table 8.5 function Point calculations for restaurant reorder System
complexity Weighting
function low Medium High total
Number of Inputs 4 : 15 = 60 Number of Outputs 10 : 20 = 200 Number of Interfaces 3 : 3 = 9 Number of Queries 10 : 6 = 60 Number of Files 2 : 40 = 80 Total 409
8.2 Cost Estimation 273
Low estimates may also be the result of a corporate culture that rewards underestima- tion. For example, in some organizations, it is widely understood that cost overruns will not derail a project manager’s career nearly as quickly as technical flaws. Therefore, it is common for project managers to drastically underestimate project costs in order to get their project funded, continually apply for supplemental funding as the project continues, and eventually turn in a product with huge cost overruns. Political considerations also can cause project teams or top management to view a project through rose-colored glasses, minimiz- ing initial cost estimates, particularly if they run contrary to hoped-for results. The Denver International Airport represents a good example of a community ignoring warning signs of overly optimistic cost estimates in the interest of completing the project. The resulting cost overruns have been enormous.
2. Unexpected technical difficulties—A common problem with estimating the costs associated with many project activities is to assume that technical problems will be minimal; that is, the cost estimate is often the case of seeming to suggest that “All other things being equal, this task should cost $XX.” Of course, all other things are rarely equal. An estimate, in order to be meaningful, must take a hard look at the potential for technical problems, start-up delays, and other technical risks. It is a fact that new technologies, innovative procedures, and engi- neering advances are routinely accompanied by failures of design, testing, and application. Sometimes the impact of these difficulties is the loss of significant money; other times the losses are more tragic, resulting in the loss of life. The Boeing V-22 Osprey transport aircraft, for example, employs a radical “tilt-rotor” technology that was developed for use by the U.S. Marines and Navy. Prototype testing identified design flaws, contributing to the deaths of test pilots in early models of these aircraft.
3. Lack of definition—The result of poor initial scope development is often the creation of proj- ects with poorly defined features, goals, or even purpose (see Chapter 5 on scope manage- ment). This lack of a clear view of the project can quickly spill over into poorly realized cost estimates and inevitable cost overruns. It is important to recognize that the process of cost estimation and project budgeting must follow a comprehensive scope statement and work breakdown structure. When the first steps are done poorly, they effectively render futile any attempt at reasonable estimation of project costs.
4. Specification changes—One of the banes of project management cost estimation and control is the midcourse specifications changes (sometimes referred to as “scope creep”) that many projects are so prone to. Information technology projects, for example, are often riddled with requests for additional features, serious modifications, and updated processes—all while the project’s activities are still in development. In the face of serious changes to project scope or specification, it is no wonder that many projects routinely overrun their initial cost estimates. In fact, with many firms, initial cost estimates may be essentially meaningless, particularly when the company has a well-earned reputation for making midcourse adjust- ments to scope.
5. External factors—Inflation and other economic impacts can cause a project to overrun its estimates, many times seriously. For example, in the face of a financial crisis or an unexpected worldwide shortage of a raw material, cost estimates that were made with- out taking such concerns into account are quickly moot. To cite one example, in the early part of this decade, China and India’s aggressive modernization and industrialization efforts, coupled with a weak American dollar, had been driving the price of crude oil to near-record highs. Because crude oil is benchmarked against the U.S. dollar, which is currently being kept weak by the Federal Reserve, it was taking more dollars to purchase oil. Further, Chinese and Indian demand for oil had led to higher international prices. A project that requires significant supplies of crude oil would have had to be recalculated upward due to the significant increase in the cost of this critical resource. Other common external effects can occur in the case of political considerations shaping the course that a project is expected to follow. This phenomenon is often found in government projects, particularly military acquisition contracts, which have a history of cost overruns, gov- ernmental intervention in the form of oversight committees, multiple constituents, and numerous midcourse change requests.
274 Chapter 8 • Cost Estimation and Budgeting
Box 8.2
Project Management research in Brief
“Delusion and Deception” Taking Place in Large Infrastructure Projects
This should be the golden age of infrastructure projects. A recent issue of The Economist reported that an estimated $22 trillion is to be invested in these projects over the next 10 years, making spending on infrastruc- ture “the biggest investment boom in history.” Because of this long-term commitment to large infrastructure improvements, coupled with the enormous costs of successfully completing these projects, it is critical that the governments and their agents responsible for designing and managing them get things right. In other words, too much is at stake to mismanage these projects.
Unfortunately, as previous examples in this chapter make clear, private organizations as well as the public sector have terrible performance records when it comes to successfully managing and delivering on their large infrastructure cost and performance targets. Examples such as the Sydney Opera House (original projected cost of 7 million Australian dollars; final cost of 102 million), the Eurotunnel (final costs more than double the original projections), and the Boston “Big Dig” (original estimated cost of $2.5 billion; final cost of nearly $15 billion) continue to be the rule rather than the exception when it comes to infrastructure project performance. The long list of incredibly overrun projects begs some simple questions: What is going on here? Why are we routinely so bad at cost estimation? What factors are causing us to continually miss our targets when it comes to estimating project costs?
Professor Bent Flyvbjerg, a project management researcher at Oxford University, and several colleagues have studied the track records of large infrastructure projects over the years and have arrived at some star- tling conclusions about the causes of their runaway costs: In most cases, the causes come from one of three sources—over-optimism bias, deliberate deception, or simple bad luck.
1. Optimism bias—Flyvbjerg’s work showed that executives commonly fall victim to delusions when it comes to projects, something he refers to as the “planning fallacy.” Under the planning fallacy, managers routinely minimize problems and make their decisions on the basis of delusional optimism—underestimating costs and obstacles, involuntarily spinning scenarios for success, and assuming best-case options and outcomes. Optimism bias leads project managers and top executives to err on the side of underestimation of costs and time for project activities even in the face of previous evidence or past experiences. In short, we tend to develop overly positive scenarios of schedule and cost for projects and make forecasts that reflect these delusions.
2. Deliberate deception—Large capital investment projects often require complex layers of decision making in order to get them approved. For example, governments have to work with private contractors and other agents who are responsible for making initial cost projections. Flyvbjerg found that some opportunities to inappropriately bias the project (deception) occur when a project’s stakeholders all hold different incen- tives for the project. For example, the construction consortium wants the project, the government wants to provide for taxpayers and voters, bankers want to secure long-term investments, and so on. Under this situation, contractors may feel an incentive to provide estimates that are deliberately undervalued in order to secure the contract. They know that “true” cost estimates could scare off the public partners so they adopt a policy of deliberate deception to first win the contract, knowing that once the government is com- mitted, it is extremely difficult for them to change their minds, even in the face of a series of expanding cost estimates. In short, the goal here is to get the project contracts signed; once the project is “on the books,” it tends to stay there.
Government representatives themselves can play a role in deception when it comes to “green- lighting” expensive projects. They may do this from a variety of motives, including altruism, reasoning that full disclosure of a project’s costs will alienate the public, regardless of how much societal good may come from it, or their motives may be more self-serving. For example, the Willy Brandt International Airport in Berlin was scheduled to open in 2010. With a cost that has ballooned to over $7 billion and no fixed open- ing date in sight, critics have argued that the airport was a politicians’ vanity project from the beginning. As one writer noted: “Many politicians want prestigious large-scale projects to be inseparably connected with their names. To get these expensive projects started, they artificially calculate down the real costs to get permission from parliament or other committees in charge.”20
3. Bad luck—A final reason for escalating project costs is simple bad luck. Bad luck implies that in spite of sound estimates, due diligence from all parties involved in the project, and the best intentions of both the contractors and project clients, there are always going to be cases where circumstances, environmental impacts, and sheer misfortune can conspire to derail a project or severely cripple its delivery. Though there is no doubt that bad luck does sometimes occur, Flyvbjerg warns that it is usually a handy excuse to attribute project problems to “bad luck,” when the reality is that overruns and schedule slippage are typically caused by much more foreseeable reasons, as suggested above.
8.3 Creating a Project Budget 275
8.3 Creating a projeCt buDget
The process of developing a project budget is an interesting mix of estimation, analysis, intuition, and repetitive work. The central goal of a budget is the need to support rather than conflict with the project’s and the organization’s goals. The project budget is a plan that identifies the allocated resources, the project’s goals, and the schedule that allows an organization to achieve those goals. Effective budgeting always seeks to integrate corporate-level goals with department-specific objec- tives; short-term requirements with long-term plans; and broader, strategic missions with concise, needs-based issues. Useful budgets evolve through intensive communication with all concerned parties and are compiled from multiple data sources. Perhaps most importantly, the project budget and project schedule must be created in tandem; the budget effectively determines whether or not project milestones can be achieved.
As one of the cornerstones of project planning, the project budget must be coordinated with project activities defined in the Work Breakdown Structure (see Chapter 5). As Figure 8.7 suggests, the WBS sets the stage for creating the project schedule; the project budget subsequently assigns the necessary resources to support that schedule.
A number of important issues go into the creation of the project budget, including the process by which the project team and the organization gather data for cost estimates, budget projections, cash flow income and expenses, and expected revenue streams. The methods for data gathering and alloca- tion can vary widely across organizations; some project firms rely on the straight, linear allocation of income and expenses, without allowing for time, while others use more sophisticated systems. The ways in which cost data are collected and interpreted mainly depend upon whether the firm employs a top-down or a bottom-up budgeting procedure. These approaches involve radically different meth- ods for collecting relevant project budget information and can potentially lead to very different results.
top-Down budgeting
top-down budgeting requires the direct input from the organization’s top management; in essence, this approach seeks to first ascertain the opinions and experiences of top management regarding estimated project costs. The assumption is that senior management is experienced with past projects and is in a position to provide accurate feedback and estimates of costs for future project ventures. They take the first stab at estimating both the overall costs of a project and its major work packages. These projections are then passed down the hierarchy to the next functional department levels where additional, more specific information is collected. At each step down the hierarchy, the project is broken into more detailed pieces, until project personnel who actually will be performing the work ultimately provide input on specific costs on a task-by-task basis.
This approach can create a certain amount of friction within the organization, both between top and lower levels and also between lower-level managers competing for budget money. When
The research on serious project overruns and their causes offers some important insight into reasons why we keep missing our targets for critical projects. It also suggests additional effects that are equally important: Underestimating costs and overestimating benefits from any project leads to two problems. First, we opt to begin many projects that are not (and never were) economically viable. Second, starting these projects means we are effectively ignoring alternatives that actually could have yielded higher returns had we made a better initial analysis. Ultimately, the common complaint about large infrastructure projects (“Over budget, over time, over and over again”) is one for which most organizations have no one to blame but themselves.21
WBS
Project Plan
Scheduling Budgeting
Figure 8.7 the relationship Among WBS, Scheduling, and Budgeting
276 Chapter 8 • Cost Estimation and Budgeting
top management establishes an overall budget at the start, they are, in essence, driving a stake into the ground and saying, “This is all we are willing to spend.” As a result, all successive levels of the budgeting process must make their estimates fit within the context of the overall budget that was established at the outset. This process naturally leads to jockeying among different functions as they seek to divide up the budget pie in what has become a zero-sum game—the more budget money engineering receives, the less there is for procurement to use.
On the positive side, research suggests that top management estimates of project costs are often quite accurate, at least in the aggregate.22 Using this figure as a basis for drilling down to assign costs to work packages and individual tasks brings an important sense of budgetary disci- pline and cost control. For example, a building contractor about to enter into a contract to develop a convention center is often knowledgeable enough to judge the construction costs with reasonable accuracy, given sufficient information about the building’s features, its location, and any known building impediments or worksite constraints. All subcontractors and project team members must then develop their own budgets based on the overall, top-down contract.
bottom-up budgeting
Bottom-up budgeting takes a completely different approach than that pursued by top-down meth- ods. The bottom-up budgeting approach begins inductively from the work breakdown structure to apply direct and indirect costs to project activities. The sum of the total costs associated with each activity are then aggregated, first to the work package level, then at the deliverable level, at which point all task budgets are combined, and then higher up the chain where the sum of the work package budgets are aggregated to create the overall project budget.
In this budgeting approach, each project manager is required to prepare a project budget that identifies project activities and specifies funds requested to support these tasks. Using these first-level budget requests, functional managers develop their own carefully documented budgets, taking into consideration both the requirements of the firms’ projects and their own departmental needs. This information is finally passed along to top managers, who merge and streamline to eliminate overlap or double counting. They are then responsible for creating the final master bud- get for the organization.
Bottom-up budgeting emphasizes the need to create detailed project plans, particularly Work Breakdown Structures, as a first step for budget allocations. It also facilitates coordination between the project managers and functional department heads and, because it emphasizes the unique cre- ation of budgets for each project, it allows top managers a clear view for prioritization among projects competing for resources. On the other hand, a disadvantage of bottom-up budgeting is that it reduces top management’s control of the budget process to one of oversight, rather than direct initiation, which may lead to significant differences between their strategic concerns and the operational-level activities in the organization. Also, the fine-tuning that often accompanies bottom-up budgeting can be time-consuming as top managers make adjustments and lower-level managers resubmit their numbers until an acceptable budget is achieved.
activity-based Costing
Most project budgets use some form of activity-based costing. Activity-based costing (ABc) is a budgeting method that assigns costs first to activities and then to the projects based on each proj- ect’s use of resources. Remember that project activities are any discrete task that the project team undertakes to make or deliver the project. Activity-based costing, therefore, is based on the notion that projects consume activities and activities consume resources.23
Activity-based costing consists of four steps:
1. Identify the activities that consume resources and assign costs to them, as is done in a bottom- up budgeting process.
2. Identify the cost drivers associated with the activity. Resources, in the form of project person- nel, and materials are key cost drivers.
3. Compute a cost rate per cost driver unit or transaction. Labor, for example, is commonly simply the cost of labor per hour, given as:
Cost rate/unit 333333T $Cost/hour
8.3 Creating a Project Budget 277
4. Assign costs to projects by multiplying the cost driver rate times the volume of cost driver units consumed by the project. For example, assume the cost of a senior software program- mer is $40/hour and that she is to work on the project for a total of 80 hours. The cost to the project would be:
($40/hr) (80 hours) = $3,200.00
As we discussed earlier in this chapter, numerous sources of project costs (cost drivers) apply to both the direct and the indirect costs of a project. Activity-based costing, a technique employed within most project budgets, requires the early identification of these variables in order to create a meaningful control document.
Table 8.6 demonstrates part of a project budget. The purpose of the preliminary budget is to identify the direct costs and those that apply to overhead expenses. It is sometimes necessary to fur- ther break down overhead costs to account for separate budget lines. The overhead figure of $500 for Survey, for example, may include expenses covering health insurance, retirement contributions, and other forms of overhead, which would be broken out in a more detailed project budget.
Table 8.7 shows a budget in which the total planned expenses given in Table 8.6 are com- pared against actual accrued project expenses. With periodic updating, this budget can be used for variance reporting to show differences, both positive and negative, between the baseline budget assigned to each activity and the actual cost of completing those tasks. This method offers a central location for the tabulation of all relevant project cost data and allows for the preliminary develop- ment of variance reports. On the other hand, this type of budget is a static budget document that does not reflect the project schedule and the fact that activities are phased in following the net- work’s sequencing.
Table 8.8 shows a sample from a time-phased budget, in which the total budget for each project activity is disaggregated across the schedule when its work is planned. The time-phased budget allocates costs across both project activities and the anticipated time in which the budget is to be expended. It allows the project team to match its schedule baseline with a budget base- line, identifying milestones for both schedule performance and project expense. As we will see in Chapter 13, the creation of a time-phased budget works in tandem with more sophisticated project control techniques, such as earned value management.
table 8.6 Sample Project Budget
Activity Direct costs Budget overhead total cost
Survey 3,500 500 4,000
Design 7,000 1,000 8,000
Clear Site 3,500 500 4,000
Foundation 6,750 750 7,500
Framing 8,000 2,000 10,000
Plumb and Wire 3,750 1,250 5,000
table 8.7 Sample Budget tracking Planned and Actual Activity costs
Activity Planned Budget Actual Variance
Survey 4,000 4,250 250
Design 8,000 8,000 - 0 -
Clear Site 4,000 3,500 (500)
Foundation 7,500 8,500 1,000
Framing 10,000 11,250 1,250
Plumb and Wire 5,000 5,150 150
Total 38,500 40,650 2,150
278 Chapter 8 • Cost Estimation and Budgeting
We can produce a tracking chart that illustrates the expected budget expenditures for this project by plotting the cumulative budgeted cost of the project against the baseline schedule. Figure 8.8 is a simple graphic of the plot and is another method for identifying the project baseline for schedule and budget over the anticipated life of the project.
8.4 DeVeloping buDget ContingenCies
Budget contingencies symbolize the recognition that project cost estimates are just that: estimates. Unforeseen events often conspire to render initial project budgets inaccurate, or even useless. (Suppose a construction project that had budgeted a fixed amount for digging a building’s founda- tion accidentally discovered serious subsidence problems or groundwater.) Even in circumstances in which project unknowns are kept to a minimum, there is simply no such thing as a project developed with the luxury of full knowledge of events. A budget contingency is the allocation of extra funds to cover these uncertainties and improve the chances that the project can be completed within the time frame originally specified. Contingency money is typically added to the project’s budget following the identification of all project costs; that is, the project budget does not include contingency as part of the activity-based costing process. Rather, the contingency is calculated as an extra cushion on top of the calculated cost of the project.
Cumulative Budgeted Cost (in thousands)
40
35
30
25
20
15
10
5
Jan. Feb. Mar. Apr. May
Figure 8.8 cumulative Budgeted cost of the Project
table 8.8 example of a time-Phased Budget
Months
Activity january february March April May total by Activity
Survey 4,000 4,000
Design 5,000 3,000 8,000
Clear Site 4,000 4,000
Foundation 7,500 7,500
Framing 8,000 2,000 10,000
Plumb and Wire 1,000 4,000 5,000
Monthly Planned 4,000 9,000 10,500 9,000 6,000
Cumulative 4,000 13,000 23,500 32,500 38,500 38,500
8.4 Developing Budget Contingencies 279
There are several reasons why it may make good sense to include contingency funding in project cost estimates. Many of these reasons point to the underlying uncertainty that accompanies most project cost estimation:24
1. Project scope is subject to change. Many projects aim at moving targets; that is, the project scope may seem well articulated and locked in. However, as the project moves through its devel- opment cycle, external events or environmental changes can often force us to modify or upgrade a project’s goals. For example, suppose that our organization set out to develop an electronics product for the commercial music market only to discover, halfway through the development, that technological advances had rendered our original product obsolete. One option, other than abandoning the project, might be to engineer a product design upgrade midstream in the proj- ect’s development. Those scope changes will cause potentially expensive cost readjustments.
2. Murphy’s Law is always present. Murphy’s Law suggests that if something can go wrong, it often will. Budget contingency represents one important method for anticipating the like- lihood of problems occurring during the project life cycle. Thus, contingency planning just makes prudent sense.
3. Cost estimation must anticipate interaction costs. It is common to budget project activi- ties as independent operations. Thus, in a product development project, we develop a dis- crete budget for each work package under product design, engineering, machining, and so forth. However, this approach fails to recognize the often “interactive” nature of these activi- ties. For example, suppose that the engineering phase requires a series of iterative cycles to occur between the designers and the engineers. As a series of designs are created, they are forwarded to the engineering section for proofing and quality assessment. When problems are encountered, they must be shipped back to design to be corrected. Coordinating the sev- eral cycles of design and rework as a product moves through these two phases is often not accounted for in a standard project budget. Hence, contingency budgets allow for the likely rework cycles that link project activities interactively.
4. Normal conditions are rarely encountered. Project cost estimates usually anticipate “nor- mal conditions.” However, many projects are conducted under anything but normal work- ing conditions. Some of the ways in which the normal conditions assumption is routinely violated include the availability of resources and the nature of environmental effects. Cost estimators assume that resources required for the project will be available when needed; however, personnel may be missing, raw materials may be of poor quality, promised funding may not materialize, and so forth. When resources are missing or limited, the activities that depend upon their availability are often delayed, leading to extra costs. Likewise, the geog- raphy and environmental effects on some projects demonstrate the difficulty in creating a “normal” project situation. For example, a project manager was assigned to develop a power plant in the West Bengal province of India only to discover, upon arrival, that the project was set to begin at the same time that the annual torrential monsoon rains were due to arrive! His first project activity, after reaching the construction site, was to spend three weeks erect- ing a five-foot retaining wall and coffer dam around the site to ensure it would not flood. Of course, the cost of this necessary construction had not been factored into his initial budget.
While project teams naturally favor contingencies as a buffer for project cost control, their acceptance by project stakeholders, particularly clients, is less assured. Some clients may feel that they are being asked to cover poor budget control on the part of the project firm. Other clients object to what seems an arbitrary process for calculating contingency. For example, it is common in the building industry to apply a contingency rate of 10%–15% to any structure prior to architec- tural design. As a result, a building budgeted for $10 million would be designed to cost $9 million. The additional million dollars is held in escrow as contingency against unforeseen difficulties dur- ing the construction and is not applied to the operating budget. Finally, does the contingency fund apply equally across all project work packages or should it be held in reserve to support critical activities as needed? Where or across what project activities contingency funds should be applied is the final point of contention. Despite these drawbacks, there are several benefits to the use of contingency funding for projects, including:
1. It recognizes that the future contains unknowns, and the problems that do arise are likely to have a direct effect on the project budget. In providing contingency, the project allows for the negative effects of both time and money variance.
280 Chapter 8 • Cost Estimation and Budgeting
2. Provision is made in the company plans for an increase in project cost. Contingency has some- times been called the first project fire alarm. Allowing contingency funds to be applied to a proj- ect is a preliminary step in gaining approval for budget increases, should they become necessary.
3. Application to the contingency fund gives an early warning signal of a potential overdrawn budget. In the event of such signals, the organization’s top management needs to take a seri- ous look at the project and the reasons for its budget variance, and begin formulating fall- back plans should the contingency prove to be insufficient to cover the project overspend. In large defense-industry contracts, for example, project organizations facing budget overruns often first apply any contingency money they possess to the project before approaching the governmental agency for additional funding. An Army project contract manager will under- standably demand full accounting of project expenditures, including contingency funds, before considering additional funding.
Project cost estimation and budgeting are two important components of project control. Because a significant constraint on any project is its budget, the manner in which we estimate project costs and create realistic budgets is critical to effective project planning. Further, the best defense against overrunning our budgets is to prepare project cost estimates as carefully as possible. Although we cannot possibly anticipate every eventuality, the more care that is used in initial estimation, the greater the likelihood that we can create a budget that is a reasonably accurate reflection of the true project cost. Cost estimation challenges us to develop reasonable assumptions and expecta- tions for project costs through clearly articulating the manner in which we arrive at our estimates. Budgeting is the best method for applying project expenditures systematically, with an eye toward keeping project costs in line with initial estimates. Taken together, cost estimation and budgeting require every project manager to become comfortable with not only the technical challenges of the project, but its monetary constraints as well.
Summary
1. Understand the various types of common project costs. Project budgeting comprises two distinct elements: cost estimation and the budgeting pro- cess itself. Among the well-known expenses in most projects are: a. Cost of labor—the charge against the human re-
sources needed to complete the project. b. Cost of materials—costs relating to any specific
equipment or supplies needed for project de- velopment.
c. Subcontractors—charges against the project budget for the use of consultants or other sub- contracted work.
d. Cost of equipment and facilities—the costs of any plant and equipment, either at the project’s location or off-site.
e. Travel—a sometimes necessary charge for the expense of having project team members in the field or at other sites.
2. recognize the difference between various forms of project costs. The types of costs that a project can incur can be identified in a number of ways. Among the more common types of costs are: • Direct versus indirect—Direct costs are those that
can be directly assigned to specific project activi- ties performed to create the project. Indirect costs relate to general company overhead expenses or administration. For example, overhead expenses
charged to a project may include health benefits or retirement contributions. General administra- tion includes shipping costs, secretarial or com- puter support, sales commissions, and so on.
• Recurring versus nonrecurring—Recurring costs are ongoing expenses, such as labor or mate- rial costs. They appear across the project’s life cycle. Nonrecurring costs are typically one-time expenses related to some special expense or pur- chase, such as training or purchase of a building.
• Fixed versus variable—Fixed costs do not vary with respect to their usage. Variable costs generally increase in proportion to the degree they are used.
• Normal versus expedited—Normal costs are the normally scheduled costs of the project, set in re- lation to the schedule baseline. Expedited costs are sometimes referred to as “crashing costs” and increase due to the extra resources assigned to speed the completion of a specific project activity.
3. Apply common forms of cost estimation for proj- ect work, including ballpark estimates and defini- tive estimates. Cost estimating may follow one of several approaches, usually increasing in accu- racy as estimates coincide more closely with the completion of project design work. Preliminary estimates for task completion, sometimes called “ballpark estimates,” may be accurate only to ;30%. On the other hand, as the project gets closer to the
Key Terms 281
completion of the design phase, it is more realistic to expect more accurate, definitive estimates (± 5%). One method for cost estimation is through the use of parametric techniques, which compare current project activities to the cost of past, similar activities and then assign a multiplier that considers inflation or other additional cost increases.
4. Understand the advantages of parametric cost esti- mation and the application of learning curve mod- els in cost estimation. Parametric cost estimation allows project managers to develop detailed esti- mates of current project costs by taking older work and inserting a multiplier to account for the impact of inflation, labor and materials increases, and other reasonable direct costs. Parametric estimation allows project managers to begin formulating cost estimates from a position of past historical record, which can be very helpful in complex projects for which it is difficult to formulate reasonable estimates.
One element in project cost estimation that can- not be ignored is the effect of learning rates on an individual’s ability to perform a project task. Learn- ing curve effects typically are relevant only in cases where a project team member is required to perform multiple iterations of a task. When these situations occur, it is usually easier and faster to complete the nth iteration than it was to complete the first, due to the effect of learning on repetitive activities. Using available formulas, we can readjust cost estimates for some project activities to reflect the effect of the learning curve on the cost of an activity.
5. discern the various reasons why project cost esti- mation is often done poorly. Cost estimation may be poorly done for several reasons, including: a. Low initial estimates—These are caused by poor
knowledge of the project’s scope or due to an or- ganizational atmosphere that rewards low initial estimates and does not sanction subsequent cost or schedule overruns.
b. Unexpected technical difficulties—This is a com- mon problem for many projects when techni- cal performance is cutting-edge and unexpected problems emerge.
c. Lack of definition—Poorly specified projects usually lead to poorly budgeted and controlled projects.
d. Specification changes—The continuing distrac- tion of specification change requests can quickly lead to cost overruns.
e. External factors—The uncontrollable effects of inflation or economic or political interference in a project can render initial cost estimates invalid.
6. Apply both top-down and bottom-up budgeting procedures for cost management. Project bud- geting involves the process of taking the individ- ual activity cost estimates and creating a working document for planned project expenditures. Two approaches to budgeting involve the use of top- down and bottom-up efforts to better identify costs and allocate project budget money. Using activity- based budgeting techniques, project teams typically identify the activities that consume resources and assign costs to them. Second, they determine the cost drivers associated with the activities (usually human resources and materials costs), and third, a cost rate per cost driver is then computed. Activity- based budgeting allows for the creation of project budgets with specific budget lines for each task nec- essary to complete the project.
7. Understand the uses of activity-based budgeting and time-phased budgets for cost estimation and control. Taking activity-based budgeting one step further, we can create time-phased budgets when the specific activity costs are then allocated across the project schedule baseline to reflect the points on the project time line when the budget will be consumed. Using a time-phased budget approach allows the project team to link time and cost into a unified baseline that can be set to serve as the project plan. Project cost control, as the project moves forward, is predicated on creating the time- phased budget.
8. recognize the appropriateness of applying con- tingency funds for cost estimation. In some projects, it is necessary, for a variety of reasons, to set aside a certain amount of the project bud- get into an account to handle any uncertainties or unexpected events that could not have been antici- pated in the initial cost estimation and budgeting sequence. This account is referred to as a project contingency fund. In many types of projects, par- ticularly construction projects, a contingency fund is a normal part of the project budget. Contingency is not assigned to any specific project activities; rather, it is used as a general project-level emer- gency fund to handle the costs associated with problems, should any arise.
Key Terms
Activity-based costing (ABC) (p. 276)
Ballpark estimates (p. 263)
Bottom-up budgeting (p. 276)
Budget contingency (p. 278)
Comparative estimates (p. 263)
Cost estimation (p. 259) Crashing (p. 262)
Definitive estimates (p. 264)
Direct costs (p. 260) Expedited costs (p. 262)
282 Chapter 8 • Cost Estimation and Budgeting
Feasibility estimates (p. 264)
Fixed costs (p. 261) Function point analysis
(p. 271)
Function points (p. 271) Indirect costs (p. 260) Learning curves (p. 267) Nonrecurring costs
(p. 261)
Normal costs (p. 262) Parametric estimation
(p. 263) Project budget (p. 275) Recurring costs (p. 261)
Time-phased budget (p. 277)
Top-down budgeting (p. 275)
Variable costs (p. 262)
Solved Problems
8.1 cAlcUlAtiNg fUlly loADeD lABor coStS
Calculate the fully loaded cost of labor for the project team using the following data. What are the costs for the individ- ual project team members? What is the fully loaded cost of labor?
Name Hours
Needed overhead
charge
Personal time rate
Hourly rate
fully loaded labor cost
John 40 1.80 1.12 $21/hr
Bill 40 1.80 1.12 $40/hr
J.P. 60 1.35 1.05 $10/hr
Sonny 25 1.80 1.12 $32/hr
Total Fully Loaded Labor Cost =
SoLuTion
We use the formula for calculating fully loaded costs, given as:
Hourly rate * Hours needed * Overhead charge * Personal time = Total fully loaded labor cost
Applying each rate given above in turn, we fill in the fully loaded cost table as follows:
Name Hours
Needed overhead
charge
Personal time rate
Hourly rate
fully loaded labor cost
John 40 1.80 1.12 $21/hr $1,693.44
Bill 40 1.80 1.12 $40/hr 3,225.60
J.P. 60 1.35 1.05 $10/hr 850.50
Sonny 25 1.80 1.12 $32/hr 1,612.80
Total Fully Loaded Labor Cost = $7,382.34
8.2 eStiMAtiNg SoftWAre coStS WitH fUNctioN PoiNtS
Suppose you were required to create a reasonably detailed esti- mate for developing a new student information and admissions system at a local college. Your firm’s programmers average 6 func- tion points on a person-month basis. After speaking with repre- sentatives from the college, you know that their request is based on the following screen requirements: inputs (4), outputs (7), inter- faces (12), queries (20), and files (16). Further, we have determined that the relative complexity of each of these functions is as follows: inputs (low), outputs (medium), interfaces (high), queries (medi- um), and files (medium). Using this information and the following table, calculate the number of function points for this project.
complexity Weighting
function low Medium High total
Number of Inputs 3 * ____ = 6 * ____ = 9 * ____ = Number of Outputs 2 * ____ = 6 * ____ = 10 * ____ = Number of Interfaces 1 * ____ = 3 * ____ = 5 * ____ = Number of Queries 4 * ____ = 8 * ____ = 12 * ____ = Number of Files 4 * ____ = 6 * ____ = 8 * ____ =
SoLuTion
Once we know the number of requirements for each of the five programmer functions and the complexity weighting for the activities, the calculation of total function points requires that
we create a table as shown below, in which the relative com- plexity of the five programming functions is multiplied by the number of screen requirements. The table shows that the total number of function points for this project is 370.
Discussion Questions 283
complexity Weighting
function low Medium High total
Number of Inputs 3 × 4 = 12
Number of Outputs 6 × 7 = 42
Number of Interfaces 5 × 12 = 60
Number of Queries 8 × 20 = 160
Number of Files 6 × 16 = 96
8.3 cAlcUlAtiNg BUDget eStiMAteS USiNg tHe leArNiNg cUrVe
Assume you have a software project that will require the coding services of a senior programmer to complete 14 coding sequenc- es that are relatively similar. We know that the programmer’s learning rate is .90 and that the first coding sequence is likely to take her 15 hours to complete. Using the learning curve formula, calculate the steady state time to code these sequences.
SoLuTion
Recall that the learning curve formula for calculating the time required to produce the steady state unit of output is repre- sented as:
Yx = aX b
where
Yx = the time required for the steady state, x, unit of output
a = the time required for the initial unit of output X = the number of units to be produced to reach
the steady state
b = the slope of the learning curve, represented as: log decimal learning rate/log 2
b = log 0.90/log 2 = - 0.4576/0.301 = - 0.1521
Yx = 15(14) -0.1521
Yx = 10.04 hours
Discussion Questions
8.1 Describe an environment in which it would be common to bid for contracts with low profit margins. What does this environment suggest about the competition levels?
8.2 How has the global economy affected the importance of cost estimation and cost control for many project organizations?
8.3 Why is cost estimation such an important component of project planning? Discuss how it links together with the Work Breakdown Structure and the project schedule.
8.4 Imagine you are developing a software package for your company’s intranet. Give examples of the various types of costs (labor, materials, equipment and facili- ties, subcontractors, etc.) and how they would apply to your project.
8.5 Give reasons both in favor of and against the use of a per- sonal time charge as a cost estimate for a project activity.
8.6 Think of an example of parametric estimating in your per- sonal experience, such as the use of a cost multiplier based on a similar, past cost. Did parametric estimating work or not? Discuss the reasons why.
8.7 Suppose your organization used function point analy- sis to estimate costs for software projects. How would
the expertise level of a recently hired programmer affect your calculation of their function points on a monthly basis when compared to an older, more experienced programmer?
8.8 Put yourself in the position of a project customer. Would you insist on the cost adjustments associated with learn- ing curve effects or not? Under what circumstances would learning curve costs be appropriately budgeted into a project?
8.9 Consider the common problems with project cost estima- tion and recall a project with which you have been involved. Which of these common problems did you encounter most often? Why?
8.10 Would you prefer the use of bottom-up or top-down bud- geting for project cost control? What are the advantages and disadvantages associated with each approach?
8.11 Why do project teams create time-phased budgets? What are their principal strengths?
8.12 Project contingency can be applied to projects for a vari- ety of reasons. List three of the key reasons why a project organization should consider the application of budget contingency.
284 Chapter 8 • Cost Estimation and Budgeting
Problems
8.1 Calculate the fully loaded cost of labor for a project team member using the following data:
Hourly rate: $35/hr Hours needed: 150 Overhead rate: 55%
8.2 Calculate the fully loaded cost of labor for your Project Engineer using the following data:
Hourly rate: $40/hr Estimated hours of work: 120 Overhead rate: 65% Personal time: 15%
8.3 Calculate the fully loaded cost of labor for the project team using the following data. What are the costs for the indi- vidual project team members? What is the fully loaded cost of labor?
Name Hours
Needed overhead
charge Personal
time rate Hourly rate
fully loaded labor cost
Sandy 60 1.35 1.12 $18/hr
Chuck 80 1.75 1.12 $31/hr
Bob 80 1.35 - 0 - $9/hr
Penny 40 1.75 1.12 $30/hr
Total Fully Loaded Labor Cost =
8.4 Assume that overhead is charged on a flat-rate basis. Each member of the project is assigned an overhead charge of $150/week. What would the fully loaded cost of labor be for an employee, given that she is assigned to the project for 200 hours at $10.50/hour?
8.5 Calculate the fully loaded labor costs for members of your project team using the following data. Who is the most expensive member of your team? What proportion of the overall fully loaded cost of labor is taken up by this individual?
Name Hours
Needed overhead
charge Personal
time rate Hourly rate
fully loaded labor cost
Todd 150 1.45 1.15 $36/hr
Stan 150 1.70 - 0 - $12/hr
Mary 120 1.45 - 0 - $21.5/hr
Alice 100 1.70 1.15 $24/hr
Total Fully Loaded Labor Cost =
8.6 Using the following information about work package bud- gets, complete the overall time-phased budget for your project. (All cost figures are in $000s). Which are the weeks with the greatest budget expense?
Table for Problem 8.6
task Budget Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8
A 5 3 2
B 8 1 4 3 1
C 12 2 7 3
D 7 3 3 1
E 14 5 5 2 2
F 6 1 2 3
Plan 52 4 8
Cumulative 4 12
8.7 Given the following information, complete a time-phased budget for your project. (All cost figures are in $000s).
What are weekly planned and cumulative costs for the project?
Table for Problem 8.7
Work Package cost per Week
Work Package Budget Week 1 Week 2 Week 3 Week 4 Week 5
Staffing 5 4 1
Blueprinting 8 1 6 1
Prototyping 12 2 8 2
Full Design 24 4 10 10
Plan
Cumulative
Problems 285
for Problems 8 through 10, refer to the chart of learning curve coefficients (unit and total time multipliers) shown at the bottom of this page.
The simplified formula for calculating learning rate time using the table coefficients is given as:
TN = T 1C
where
TN = Time needed to produce the nth unit
T1 = Time needed to produce the first unit
C = Learning curve coefficient
8.8 It took MegaTech, Inc., 100,000 labor-hours to produce the first of several oil-drilling rigs for Antarctic explora- tion. Your company, Natural Resources, Inc., has agreed to purchase the fifth (steady state) oil-drilling rig from MegaTech’s manufacturing yard. Assume that MegaTech
experiences a learning rate of 80%. At a labor rate of $35 per hour, what should you, as the purchasing agent, ex- pect to pay for the fifth unit?
8.9 Problem 8 identified how long it should take to complete the fifth oil-drilling platform that Natural Resources plans to purchase. How long should all five oil-drilling rigs take to complete?
8.10 Suppose that you are assigning costs to a major proj- ect to be undertaken this year by your firm, DynoSoft Applications. One particular coding process involves many labor-hours, but highly redundant work. You antici- pate a total of 200,000 labor-hours to complete the first it- eration of the coding and a learning curve rate of 70%. You are attempting to estimate the cost of the twentieth (steady state) iteration of this coding sequence. Based on this in- formation and a $60 per hour labor rate, what would you expect to budget as the cost of the twentieth iteration? The fortieth iteration?
learning curve coefficients (Unit time and total time Multipliers)
70% 75% 80% 85%
Steady State Unit Unit time total time Unit time total time Unit time total time Unit time total time
5 .437 3.195 .513 3.459 .596 3.738 .686 4.031
10 .306 4.932 .385 5.589 .477 6.315 .583 7.116
15 .248 6.274 .325 7.319 .418 8.511 .530 9.861
20 .214 7.407 .288 8.828 .381 10.485 .495 12.402
25 .191 8.404 .263 10.191 .355 12.309 .470 14.801
30 .174 9.305 .244 11.446 .335 14.020 .450 17.091
35 .160 10.133 .229 12.618 .318 15.643 .434 19.294
40 .150 10.902 .216 13.723 .305 17.193 .421 21.425
Based on a = 1.
8.11 Assume you are a project cost engineer calculating the cost of a repetitive activity for your project. There are a total of 20 iterations of this activity required for the project. The project activity takes 2.5 hours at its steady state rate and the learning rate is 75%. Calculate the initial output time for the first unit produced, using the learning curve formula:
Yx = aX b
where
Yx = the time required for the steady state, x, unit of output
a = the time required for the initial unit of output X = the number of units to be produced to reach the
steady state
b = the slope of the learning curve, represented as: log decimal learning rate/log 2
8.12 As the manager of the IT group at your insurance firm, you have been asked to develop a cost estimate for
upgrades to the computerized accident-reporting and claims adjustment system you have in place. Your system is basic, without many features, but it needs some gen- eral modifications, based on complaints from customers and claims adjusters at your firm. You know that your programmer is capable of handling 3 function points in a person-month and your programmer makes $60,000, so her cost is $5,000 per month. The costs for the project are based on the following requirements:
function Number of Screens complexity
Input 8 Low
Output 3 Low
Interfaces 8 Medium
Queries 6 Medium
Files 10 Low
286 Chapter 8 • Cost Estimation and Budgeting
The complexity weighting for these functions follows a standard formula:
8.13 You work at a regional health care center and have been asked to calculate the expected cost for a software project in your organization. You know that historically your pro- grammers can handle 5 function points each person-month
and that the cost per programmer in your company is $4,000 per month. The project whose costs you are estimat- ing is based on the following requirements:
complexity Weighting
function low Medium High total
Number of Inputs 2 * ____ = 4 * ____ = 6 * ____ = Number of Outputs 3 * ____ = 6 * ____ = 12 * ____ = Number of Interfaces 6 * ____ = 12 * ____ = 18 * ____ = Number of Queries 4 * ____ = 6 * ____ = 8 * ____ = Number of Files 2 * ____ = 4 * ____ = 8 * ____ =
a. Calculate the total estimated number of function points for this project.
b. What is the total expected cost of the project?
complexity Weighting
function low Medium High total
Number of Inputs 1 * ____ = 2 * ____ = 3 * ____ = Number of Outputs 2 * ____ = 6 * ____ = 10 * ____ = Number of Interfaces 10 * ____ = 15 * ____ = 20 * ____ = Number of Queries 3 * ____ = 6 * ____ = 9 * ____ = Number of Files 1 * ____ = 3 * ____ = 5 * ____ =
CaSE STuDy 8.1 The Hidden Costs of Infrastructure Projects—The Case of Building Dams
In recent years, there has been an upsurge in the development of large dams in both developing and developed countries, including Brazil, Ethiopia, Pakistan, and China. There are a number of reasons for this increased interest in dam building. Demand for electricity is expected to double worldwide be- tween 2010 and 2035. As a result hydroelectric power is seen as a cheap, available option for countries with river systems that allow for dams, particularly as it is a preferred option to dirtier coal-burning plants. Other arguments in favor of building these dams in- clude its use for flood control, crop irrigation, inland
transportation, urban water supplies, and as a job cre- ator. These are all powerful and tempting arguments in favor of building large dams; however, there is one important counter-argument to the push toward these hydropower megaprojects. They fail to offer the advantages they are assumed to provide.
There are a number of criticisms of large dam proj- ects. First, megadams take, on average, nearly nine years to complete. As a result, arguments that they will ease the burden of energy demands must be taken on faith; given their long lead times, they certainly are not an option for energy crisis situations. They also assume that all
function Number of Screens complexity
Input 8 Low
Output 6 Low
Interfaces 15 High
Queries 5 High
Files 25 Medium
Further, you know that the complexity weighting for these functions follows a standard internal formula, shown as: a. Calculate the total estimated number of function points for this project. b. Calculate the total expected cost of the project.
Case Study 8.1 287
Figure 8.9 Nigeria’s Kainji Dam Under construction
Source: AP Images
current circumstances (energy demand, population growth patterns, water availability, and energy prices) are likely to remain steady, or at least predictable, over the time period in which the dam is developed, which can lead to dangerous assumptions of future benefits. Nigeria’s Kainji Dam, for example, has fallen short of generating its expected hydroelectricity levels by as much as 70%. Second, cost and schedule projections to complete these dams are almost always grossly under- estimated. In fact, research suggests that cost overruns for large dam projects average 96% higher than esti- mated costs; that is, actual project costs were nearly double the original estimates. Schedules for these dams averaged overruns of 44%, or 2.3 years. Third, the cost in absolute terms for these large dam projects can nearly bankrupt the countries investing in them. For example, Ethiopia’s Grand Ethiopian Renaissance dam on the Nile River was projected to cost $4.8 billion when it was started in 2011. By the time it is completed (projected for 2017), it will end up costing more than $10 billion, or one-quarter of Ethiopia’s GDP. Instead of helping the economy and fostering growth, Ethiopia could be facing enormous problems paying off long- term debt from financing the dam. Nor is this a new phenomenon. Brazil’s Itaipu Dam was built in the 1970s at a cost of almost $20 billion, or 240% more than pro- jected. Since opening, it has been a drain on the country’s finances. Despite producing electricity that is needed to support development in Brazil, it is unlikely that the costs of the Itaipu Dam will ever allow it to break even.
What is the solution? Countries such as Norway, which produces some 99% of its energy from
hydropower, have adopted a smaller, more flexible solu- tion to the use of dams. The government encourages the development not of large megadams, but of smaller, more flexible plants designed to produce smaller vol- umes of electricity but located at more locations within the country. Thus Norway currently supports some 1,000 smaller energy-producing dams that do not dis- rupt the natural flow of rivers, cause no environmental impact, and produce cleaner energy.
Large megadams of the type that are being devel- oped around the planet are a tempting and expensive pursuit for the majority of countries undertaking them. With poor project development records historically, including huge cost and schedule overruns, these proj- ects are typically undertaken as much for the national prestige they offer. At the same time, countries that have invested precious budget money in creating the dams are frequently disappointed with the results, including underutilization, decades of financial squeeze and debt obligation, and a failure to realize the expected benefits. When it comes to large megadams, the energy they produce is usually neither abundant nor cheap.25
Questions
1. Given the history of large cost overruns associ- ated with megadam construction, why do you believe they are so popular, especially in the developing world?
2. Develop an argument in support of megadam construction. Develop an argument against these development projects.
288 Chapter 8 • Cost Estimation and Budgeting
CaSE STuDy 8.2 Boston’s Central Artery/Tunnel Project
Since the “Big Dig” project was first introduced in the previous edition of this textbook, a number of addi- tional events have occurred that make it important for us to revisit the original story and update the cur- rent status of this monumental project. When it was opened in 1959, Boston’s Central Artery highway was hailed as a marvel of engineering and forward- thinking urban planning. Designed as an elevated six-lane highway through the middle of the city, the highway was intended to carry a traffic volume of 75,000 vehicles a day. Unfortunately, by the early
1980s, the Central Artery was burdened by a daily volume of more than 200,000 vehicles, a nearly three- fold increase over the anticipated maximum traf- fic levels. The result was some of the worst urban congestion in the country, with traffic locked bum- per to bumper for more than 10 hours each day. At over four times the national average, the accident rate for the Central Artery added to commuters’ misery. Clearly, the Central Artery—a crumbling, overused, and increasingly dangerous stretch of highway—had outlived its usefulness.
M ic
h a e l
D w
ye r/
A la
m y
Figure 8.10 Boston’s Big Dig
The solution to the problem was the advent of the Central Artery/Tunnel (CA/T) project, commonly known to people from the Boston area as the “Big Dig.” Under the supervision of the Massachusetts Turnpike Authority and using federal and state fund- ing, the CA/T project comprises two main elements: (1) replacing the aging elevated roadway with an 8- to 10-lane underground expressway directly beneath the existing road, with a 14-lane, two-bridge crossing of the Charles River, and (2) extending Interstate 90 through a tunnel beneath South Boston and the har- bor to Logan Airport. Originally conceived and initi- ated in the early 1980s, the project was a continuous activity (some would say “headache”) in the city for more than 20 years.
The technical challenges in the Big Dig were enormous. Employing at its peak about 5,000 work- ers, the project included the construction of eight miles of highway, 161 lane miles in all, almost half below ground. It required the excavation of 16 million cubic yards of soil, enough to fill the New England Patriots’ football stadium 16 times, and used 3.8 million cubic yards of concrete. The second major challenge was to perform these activities with- out disrupting existing traffic patterns or having a deleterious effect on the current highway system and its traffic flows. Thus, while miles of tunnels were being excavated underneath the old Central Artery, traffic volume could not be slowed on the elevated highway.
Case Study 8.2 289
The project had been a source of controversy for several years, most notably due to its soaring costs and constantly revised budget. At the time of the project’s kickoff in 1983, the original projections for the project’s scope assumed a completion date of 1998 and one- time funding from the federal government to cover 60% of the project’s original $2.5 billion budget. In fact, the budget and schedule have been revised upward nearly constantly since the project kicked off. Consider the following budget levels:
year Budget (in billions)
1983 2.56
1989 4.44
1992 6.44
1996 10.84
2000 14.08
2003 14.63
Final cost projections soared to over $14.5 billion and the project officially wrapped up in late 2004, or seven years late. Cost estimates and subsequent expen- ditures were so bad that by 2000, a federal audit of the project concluded that the Big Dig was officially bank- rupt. One component of the federal audit concluded that a major cause for runaway project costs was due to poor project management oversight. Specifically, it was found that project management routinely failed to hold contractors to their bids or to penalize them for mistakes, resulting in huge cost increases for the Big Dig. Because of the intense public scrutiny and sensitive nature of the project, managers also stopped tracking or publicly acknowledging escalating costs, fearing that the political backlash could cripple the project. In fact, Taxpayers for Common Sense, a non- partisan watchdog group, charged that the project’s economics became so bad that managers delayed bud- geting for contracts worth $260 million to a consulting firm because they could not offset such a large cost in the short term. In response to public outcry over the delays and rising costs, the project manager submitted his resignation.
Not surprisingly, the citizens of Boston have viewed the opening of the Big Dig with a genuine sense of ambivalence. Though a technological marvel that will undoubtedly improve the lives of its users, while reducing carbon monoxide emissions and improving the “green” reputation of the city, the project proved to be such a financial morass that public officials qui- etly canceled a planned celebration of a major section’s opening. Finger pointing and a search for the causes of the Big Dig’s poor cost estimation and control were
vigorous. For its part, the Massachusetts Turnpike Authority planned a $150 million lawsuit against the firms that managed the project, arguing that many of the cost overruns could be attributed to poor project management and oversight.
Increasingly, the question being asked was: Were original cost estimates for the CA/T given in good faith or were they “tuned” to meet political realities? That is, did officials deliberately underestimate true project costs, fearing that the project would not have been approved in the beginning if the public was aware of its likely cost and scope? If so, the result has been to leave a sour taste in the mouths of the taxpay- ing public, convinced that the CA/T project repre- sents a combination of brilliant technical achievement coupled with poor estimation and lax control. Former Massachusetts House Speaker Thomas Finnerman put the matter directly: “You’d be much, much better off saying upfront, factually, ‘Hey, it’s going to take umpteen years likely and umpteen billions dollars,’ rather than selling it as a kind of smoke and mirrors thing about, ‘Oh, it’s two billion and a couple of years’ work.’”
aftermath: Reconsidering the Big Dig
Since the completion of the Big Dig, you would expect the commotion to have died down, the complaints to have been resolved, and the people of Boston to have become used to the advantages of this enormous proj- ect. Unfortunately, that has not been the case. Since its “completion” in early 2004, bad press, disasters, and accountability continue to dog the Central Tunnel/ Artery system.
In 2001, prior to the completion of the project, thousands of leaks began appearing in the ceiling of sections of the tunnel system. The cause? Records sug- gest that the primary contractor for the concrete pour- ing, Modern Continental, failed to remove debris prior to pouring concrete, resulting in flaws, cavities, and pockets of weakness in the ceiling and walls of the tun- nels. In May 2006, six employees of the main supplier of concrete were arrested for falsifying records.
In fact, 2006 was a very bad year for the Big Dig for a variety of reasons. On July 10, 2006, the bolt and epoxy system holding four sections (12 tons) of con- crete ceiling panels failed, causing a section to collapse onto the tunnel roadway and kill a passenger in a car passing beneath the section at the time. That month, a detailed inspection of the ceiling panels throughout the tunnel system identified an additional 242 bolts that were already showing signs of stress! The tun- nel system was shut down for the month of August for inspection and repairs. Also in August, the state assumed control of the Central Tunnel/Artery from
(continued)
290 Chapter 8 • Cost Estimation and Budgeting
the Turnpike Authority, citing the TA’s poor record of supervision and effective project control.
The tragedy became something close a to farce when the Turnpike Authority and Federal Highway Administration refused to release critical documents to the state, including:
• Deficiency reports flagging initial substandard work
• Construction change orders and contract revisions
• Inspection reports on workmanship and build- ing material quality Until the court system orders the release of all
project documents, we may never know the extent of mismanagement and poor decision making that dogged the development of the CT/A. From a public relations perspective, however, the fighting between state and federal authorities over oversight and con- trol of the troubled project is a continuing black eye for all parties involved.
In early 2008, the contractors for the Big Dig, including primary contractors Bechtel and Parson Brinckerhoff, were ordered to pay $450 million to settle the state’s lawsuit over the 2006 tunnel collapse.
Though this settlement does not absolve the contrac- tors from future lawsuits, it does settle some of the more egregious failures that occurred while they led the project. Michael Sullivan, the U.S. Attorney who led the lawsuit, noted that the contractors originally made a profit of about $150 million from the Big Dig; however, “They lost money as a result of the failures that occurred under their watch.”26
Questions
1. Consider the following statement: “Government- funded projects intended to serve as ‘prestige projects,’ such as the ‘Big Dig,’ should not be judged on the basis of cost.” Do you agree or dis- agree with this statement? Why?
2. Project success is defined as adherence to budget, schedule, functionality (performance), and client satisfaction. Under these criteria, cite evidence that suggests the “Big Dig” project was a success and/or failure.
3. What are the lessons to be learned from the “Big Dig” project? Was this a failure of project esti- mation or project control by the contractors and local government?
internet Exercises 8.1 Go to the Internet and search using the phrase “cost analy-
sis tools.” What are some of the links and examples of cost analysis as it applies to projects?
8.2 Go to http://pmworldlibrary.net/ and type “case studies” in the search window. Select a project and report on it from the perspective of its cost estimation, budgeting, and (if applicable) expediting perspectives. Was the project a suc- cess or failure? Why?
8.3 Go to www.cityofflint.com/DCED/CDBG2013_14/Budget Detail_sample.pdf and reproduce the summary project budget worksheet. After examining the various elements in the budget, what are the main cost drivers for projects of this sort?
8.4 Go to www.stickyminds.com/articles.asp and click on “Stickyminds.com Original Articles.” Search for and click on the article by Karl Wiegers, “Estimation Safety Tips.” In the article (found as a pdf link to the site), the author offers tips on making estimates that are accurate and de- fensible by avoiding common mistakes. Which of these points makes the most sense to you personally? Why does it seem a plausible suggestion?
PMP certificAtion sAMPle QUestions
1. The project administrator is preparing a preliminary budget for a project and adds in the cost of a new com- puter for the project team to use. What type of cost would this computer purchase represent?
a. Variable b. Direct c. Indirect d. Variable direct
2. The project manager for a large project being devel- oped in northern Ontario recognizes that it will be necessary for her to maintain a close presence at the construction site during its development and has negotiated the use of a building for her team near the construction project. The cost of the building must be factored into the project cost and will increase with use; that is, the cost of heating and other utilities is subject to change depending upon weather and team use. What type of cost would this building represent?
a. Variable direct b. Indirect c. Nonrecurring d. None of the above
3. A project budget identifies $5,000 budgeted for program- ming costs. The actual amount for programming costs is $5,450. Which of the following statements is correct?
a. The $450 represents a negative variance to the budget b. There is no variance to the budget c. The $450 represents a positive variance to the
budget d. The entire $5,450 represents a positive variance to
the budget
Internet Exercises 291
4. The project planning phase is moving forward. The project team has solicited the opinions of some senior project managers with experience in similar types of projects to try and develop a cost estimate for the proj- ect. This process is an example of:
a. Activity-based budgeting b. Contingency planning c. Top-down budgeting d. Cost estimation
5. John is putting together his budget for the project and as part of this process, he is actively discussing and so- liciting estimates from each member of the project team for the overall budget. He presents his budget to senior management and Susan rejects it, stating, “Team mem- bers are always going to pad their estimates. I will give
you the figure I want you to shoot for.” Susan is em- ploying what method for project cost budgeting?
a. Bottom-up b. Top-down c. Parametric d. Comparative
Answers: 1. b—A computer purchase would be an example of a direct cost for the project; 2. a—The cost of using a site building varies to the degree it is used and is charged as a direct cost to the project; 3. c—The overrun of $450 would be referred to as a positive variance to the budget; 4. d—The process of asking senior project managers for their best esti- mates of project costs is part of the cost estimation process; 5. b—Susan is using a top-down method in which she, as the senior manager, is providing the project budget estimate.
292 Chapter 8 • Cost Estimation and Budgeting
iNtegrAteD Project
Developing the cost estimates and Budget
Develop an in-depth cost estimate to support your initial project proposal narrative and scope statement, including the Work Breakdown Structure. Create a detailed justification of personnel costs, materials costs, overhead, and other forms of costs that are likely to accrue to your project. Be specific, particularly as regards personnel costs and commitment of time. For example, your cost table could look something like the following:
Personnel level rate loaded
rate labor-Weeks
Needed* total cost
Programmer Senior $35 $49/hr 20 $39,200 Sys. Analyst Junior $22 $31/hr 10 $12,400 *40-hour work week
Remember that the “loaded rate” assumes that you include the organization’s overhead expenses for each employee. A typical multiplier for this figure could run anywhere up to and over 100% of the employee’s wage rate. Make sure the course instructor indicates the overhead rate you should apply for your project. So, using the senior programmer example above with a fully loaded rate and assuming an overhead multiplier of 1.40, we get:
($49) (40 hrs) (20 weeks) (1.40) = $54,880
Sample Project Plan: ABcups, inc.
Name resource
type title
Salary (incl.
Benefits) ($)
Hour rate ($)
fully loaded
rate (overhead = .40)
time Needed (Hours/ week)
Duration (in weeks) total
Carol Johnson
Safety Safety Engineer
64,600 32.30 45.22 10 hrs/wk 15 $ 6,783
Bob Hoskins Engineering Industrial Engineer
35,000 17.50 24.50 20 hrs/wk 35 17,150
Sheila Thomas Management Project Manager
55,000 27.50 38.50 40 hrs/wk 50 77,000
Randy Egan Management Plant Manager
74,000 37.00 51.80 10 hrs/wk 6 3,108
Stu Hall Industrial Maintenance Supervisor
32,000 16.00 22.40 15 hrs/wk 8 2,688
Susan Berg Accounting Cost Accountant
45,000 22.50 31.50 10 hrs/wk 12 3,780
Marty Green Industrial Shop Supervisor
24,000 12.00 16.80 10 hrs/wk 3 504
John Pittman Quality Quality Engineer
33,000 16.50 23.10 20 hrs/wk 25 11,550
Sally Reid Quality Jr. Quality Engineer
27,000 13.50 18.90 20 hrs/wk 18 6,804
Lanny Adams Sales Marketing Manager
70,000 35.00 49.00 10 hrs/wk 16 7,840
Kristin Abele Purchasing Purchasing Agent
47,000 23.50 32.90 15 hrs/wk 20 9,870
Total $147,077
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294 Chapter 8 • Cost Estimation and Budgeting
1. Flyvbjerg, B., and Stewart, A. (2012). “Olympic propor- tions: Cost and cost overrun at the Olympics 1960–2012. Said Business School Working Papers, Oxford: University of Oxford; Forrest, Brett. (2014, February 23). “Putin’s run for gold.” Vanity Fair. www.vanityfair.com/culture/ 2014/02/sochi-olympics-russia-corruption; Geere, D. (2014, February 4). “Freezing Sochi: How Russia turned a sub- tropical beach into a Winter Olympics wonderland.” The Verge. www.theverge.com/2014/2/4/5377356/sochi-win- ter-olympics-2014-subtropical-transformation; Rathi, A. (2014, January 30). “The Sochi Olympics are going to be the costliest ever.” Quartz. http://qz.com/172180/the-sochi- olympics-are-going-to-cost-more-than-the-last-13-olympics- combined/; “Sochi road an engineering marvel.” (2014, February 15). BostonGlobe.com. |www.bostonglobe.com/ sports/2014/02/15/sochi-road-engineering-marvel/ dpRwuHty4V35VHR1O5T6SL/story.html; Taylor, A. (2014, January 17). “Why Sochi is by far the most expensive Olympics ever.” Business Insider. www.businessinsider.com/ why-sochi-is-by-far-the-most-expensive-olympics- ever-2014-1; Waldron, T., (2014, February 3). “Sochi Olympics will cost more than every other Winter Olympics combined.” ThinkProgress RSS. http://thinkprogress.org/ sports/2014/02/03/3239131/sochi-olympics-cost-winter- olympics-combined/; Yaffa, J. (2014, January 2). “The waste and corruption of Vladimir Putin’s 2014 Winter Olympics.” Bloomberg Business Week. Bloomberg. www.businessweek. com/articles/2014-01-02/the-2014-winter-olympics-in-so- chi-cost-51-billion#p1; Young, J. (2014, February 3). “Money spent on Sochi games raises questions.” VOA. www. voanews.com/content/money-spent-on-sochi-games-rais- ing-questions/1843380.html.
2. Needy, K. S., and Petri, K. L. (1998). “Keeping the lid on project costs,” in Cleland, D. I. (Ed.), Field Guide to Project Management. New York: Van Nostrand Reinhold, pp. 106–20.
3. Miller, G. J., and Louk, P. (1988). “Strategic manufacturing cost management,” APICS 31st International Conference Proceedings, Falls Church, VA: APICS; Kerzner, H. (1988). “Pricing out the work,” in Cleland, D. I., and King, W. R. (Eds.), Project Management Handbook, 2nd ed. New York: Van Nostrand Reinhold, pp. 394–410.
4. Meredith, J. R., and Mantel, Jr., S. J. (2003). Project Management, 5th ed. New York: Wiley.
5. Needy, K. S., and Petri, K. L. (1998). “Keeping the lid on project costs,” in Cleland, D. I. (Ed.), Field Guide to Project Management. New York: Van Nostrand Reinhold, pp. 106–20.
6. Source for Table 8.2: Needy, K. S., and Petri, K. L. (1998). “Keeping the lid on project costs,” in Cleland, D. I. (Ed.), Field Guide to Project Management. New York: Van Nostrand Reinhold, p. 110.
7. Lock, D. (2000). “Managing cost,” in Turner, J. R., and Simister, S. J. (Eds.), Gower Handbook of Project Management, 3rd ed. Aldershot, UK: Gower, pp. 293–322.
8. Amor, J. P., and Teplitz, C. J. (1998). “An efficient approxi- mation for project composite learning curves,” Project Management Journal, 29(3): 28–42; Badiru, A. B. (1995). “Incorporating learning curve effects into critical resource diagramming,” Project Management Journal, 26(2): 38–46;
Camm, J. D., Evans, J. R., and Womer, N. K. (1987). “The unit learning curve approximation of total cost,” Computers in Industrial Engineering, 12: 205–13; Fields, M. A. (1991). “Effect of the learning curve on the capital budgeting process,” Managerial Finance, 17(2–3): 29–41; Teplitz, C. J., and Amor, J. P. (1993). “Improving CPM’s accuracy using learning curves,” Project Management Journal, 24(4): 15–19.
9. Meredith, J. R., and Mantel, Jr., S. J. (2003). Project Management, 5th ed. New York: Wiley.
10. Amor, J. P., and Teplitz, C. J. (1998). “An efficient approxi- mation for project composite learning curves,” Project Management Journal, 29(3): 28–42.
11. Crawford, J. R. (n.d.), Learning curve, ship curve, rations, related data. Burbank, CA: Lockheed Aircraft Corp.
12. Heiser, J., and Render, B. (2001). Operation Management, 6th ed. Upper Saddle River, NJ: Prentice Hall.
13. Hackbarth, G. (2005), personal communication. 14. “Extreme chaos.” (2001). Standish Group International. 15. Bloch, M., Blumberg, S., and Laartz, J. (2012). “Delivering
large-scale IT projects on time, on budget, and on value,” McKinsey Reports. http://mckinsey.com/MOBT_27_ Delivering_large-scale_IT_projects_on_time_budget_ and_value%20(1).pdf; Flyvbjerg, B., Budzier, A. (2011). “Why your project may be riskier than you think,” Harvard Business Review, 89(9): 23–25.
16. For a discussion of COCOMO II standards, see http:// csse.usc.edu/csse/research/COCOMOII/cocomo2000.0/ CII_modelman2000.0.pdf
17. McConnell, S. (2004). Code Complete, 2nd ed. Redmond, WA: Microsoft Press; McConnell, S. (2006). Software Estimation: Demystifying the Black Art. Redmond, WA: Microsoft Press.
18. Turbit, N. “Function points overview.” www.projectper- fect.com.au/downloads/Info/info_fp_overview.pdf; International Functional Points Users Group, www.ifpug. org; Dillibabu, R., and Krishnaiah, K. (2005). “Cost esti- mation of a software product using COCOMO II.2000 model—a case study,” International Journal of Project Management, 23(4): 297–307; Jeffery, R., Low, G. C., and Barnes, M. (1993). “A comparison of function point count- ing techniques,” IEEE Transactions on Software Engineering, 19(5): 529–32.
19. Hamburger, D. (1986). “Three perceptions of project cost—Cost is more than a four-letter word,” Project Management Journal, 17(3): 51–58; Sigurdsen, A. (1996). “Principal errors in capital cost estimating work, part 1: Appreciate the relevance of the quantity-dependent esti- mating norms,” Project Management Journal, 27(3): 27–34; Toney, F. (2001). “Accounting and financial manage- ment: Finding the project’s bottom line,” in J. Knutson (Ed.), Project Management for Business Professionals. New York: John Wiley, pp. 101–27; Shtub, A., Bard, J. F., and Globerson, S. (1994). Project Management: Engineering, Technology, and Implementation. Englewood Cliffs, NJ: Prentice-Hall; Smith, N. J. (Ed.). (1995). Project Cost Estimating. London: Thomas Telford; Sweeting, J. (1997). Project Cost Estimating: Principles and Practices. Rugby, UK: Institution of Chemical Engineers; Goyal, S. K. (1975). “A note of a simple CPM time-cost tradeoff algorithm,”
notes
Notes 295
Management Science, 21(6): 718–22; Venkataraman, R., and Pinto, J. K. (2008). Cost and Value Management in Projects. New York: Wiley.
20. Panknin, S., quoted in Grieshaber, K. (2013, April 8). “Berlin’s airport delays shame Germans.” http://news. yahoo.com/berlins-airport-project-delays-shame-ger- mans-093036692–finance.html
21. Flyvbjerg, B., Garbuio, M., and Lavallo, D. (2009). “Delusion and deception in large infrastructure projects: Two models for explaining and preventing executive disaster,” California Management Review, 51(2): 170–93; “Building BRICs of growth.” (2008, June 7). The Economist. www.economist.com/node/11488749; Lovallo, D., and Kahneman, D. (2003). “Delusions of success: How opti- mism undermines executives’ decisions,” Harvard Business Review, 81(7): 56–63; Flyvbjerg, B., Holm, M. S., and Buhl, S. (2002). “Underestimating costs in public works projects: Error or lie?” Journal of the American Planning Association, 68(3): 279–95.
22. Meredith, J. R., and Mantel, Jr., S. J. (2003). Project Management, 5th ed. New York: Wiley; see also Christensen, D. S.,
and Gordon, J. A. (1998). “Does a rubber baseline guaran- tee cost overruns on defense acquisition contracts?” Project Management Journal, 29(3): 43–51.
23. Maher, M. (1997). Cost Accounting: Creating Value for Management, 5th ed. Chicago: Irwin.
24. Gray, C. F., and Larson, E. W. (2003). Project Management, 2nd ed. Burr Ridge, IL: McGraw-Hill.
25. Flyvbjerg, B., and Ansar, A. (2014, March 19). “Ending the flood of megadams,” Wall Street Journal, p. A15; Ansar, A., Flyvbjerg, B., Budzier, A., and Lunn, D. (2014). “Should we build more large dams? The actual costs of hydro- power megaproject development.” Energy Policy. http:// dx.doi.org/10.1016/j.enpol.2013.10.069
26. “Boston’s Big Dig opens to public.” (2003, December 20). www.msnbc.com/id/3769829; “Big Dig billions over budget.” (2000, April 11). www.taxpayer.net/library/ weekly-wastebasket/article/big-dig-billions-over-bud- get; “Massachusetts to sue Big Dig companies.” (2006, November 27). www.msnbc.msn.com/id/15917776; “Big Dig contractors to pay $450 million.” (2008, January 23). www.msnbc.msn.com/id/22809747
296
9 ■ ■ ■
Project Scheduling Networks, Duration Estimation, and Critical Path
Chapter Outline Project Profile
After 20 Years and More than $50 Billion, Oil Is No Closer to the Surface: The Caspian Kashagan Project
introduction 9.1 Project Scheduling 9.2 Key Scheduling terminology 9.3 develoPing A networK
Labeling Nodes Serial Activities Concurrent Activities Merge Activities Burst Activities
9.4 durAtion eStimAtion 9.5 conStructing the criticAl PAth
Calculating the Network The Forward Pass
The Backward Pass Probability of Project Completion Laddering Activities Hammock Activities Options for Reducing the Critical Path
Project mAnAgement reSeArch in Brief Software Development Delays and Solutions
Summary Key Terms Solved Problems Discussion Questions Problems Internet Exercises MS Project Exercises PMP Certification Sample Questions Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand and apply key scheduling terminology. 2. Apply the logic used to create activity networks, including predecessor and successor tasks. 3. Develop an activity network using Activity-on-Node (AON) technique. 4. Perform activity duration estimation based on the use of probabilistic estimating techniques. 5. Construct the critical path for a project schedule network using forward and backward passes. 6. Identify activity float and the manner in which it is determined. 7. Calculate the probability of a project finishing on time under PERT estimates. 8. Understand the steps that can be employed to reduce the critical path.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Plan Schedule Management (PMBoK sec. 6.1) 2. Define Activities (PMBoK sec. 6.2) 3. Sequence Activities (PMBoK sec. 6.3) 4. Estimate Activity Resources (PMBoK sec. 6.4) 5. Estimate Activity Durations (PMBoK sec. 6.5) 6. Develop Schedule (PMBoK sec. 6.6) 7. Control Schedule (PMBoK sec. 6.7)
Project Profile
After 20 Years and More than $50 Billion, oil is No closer to the Surface: the caspian Kashagan Project
Two decades ago, the world was in desperate need of new sources of oil, just as emerging economies were anxious to exploit their natural resources in exchange for improvements in the standard of living. It was against this backdrop that the Kashagan oil project was launched. A partnership between Kazakhstan and a consortium of oil exploration companies (including Shell, Exxon Mobil, Total, ConocoPhillips, and Eni, among others), the Kashagan project involved offshore drilling in the Caspian Sea. The oil field was discovered in 2000, and with oil reserve estimates that are said to be the largest in the world outside of the Middle East, the plan was for oil to begin flowing in 2005, with a projected daily output of 1.5 million barrels. One Shell driller labeled the field “an Elephant.”
Now, years behind schedule and with a budget that has grown from its original total estimate of $57 billion to $187 billion, the project is still far from completed. Phase 1 of the project was expected to cost $24 billion and the bill has already grown to $46 billion with little to show for it. In addition to its massive budget overruns, the project has been continuously plagued by a series of engineering missteps, management disputes, miles of leaky and corroded pipelines, and technical problems. So bad has the situation become that the project has now been halted indefinitely while all parties try to understand what went wrong and how to get things back on track.
The Kashagan project’s problems come at a time when relationships between Western oil companies and resource-owning governments are more important than ever. To replace what they pump, oil companies need to col- laborate with state-owned companies that control 90% of the globe’s remaining oil reserves, by a World Bank estimate.
Figure 9.1 Kashagan oil field
Source: Shamil Zhumatov/Reuters/Corbis
Project Profile 297
298 Chapter 9 • Project Scheduling
introduction
Project scheduling is a complex undertaking that involves a number of related steps. When we think about scheduling, it helps if we picture a giant jigsaw puzzle. At first, we lay out the border and start creating a mental picture in our heads of how the pieces are designed to fit together. As the border starts to take shape, we can add more and more pieces, gradually giving the puzzle shape and image. Each step in building the puzzle depends on having done the previous work correctly. In a similar way, the methodologies in project scheduling build upon each other. Project scheduling requires us to follow some carefully laid-out steps, in order, for the schedule to take shape. Just as a jigsaw puzzle will eventually yield a finished picture if we have followed the process correctly, the shape of the project’s schedule will also come into direct focus when we learn the steps needed to bring it about.
But governments often give foreign oil companies access only to the hardest-to-develop acreage. Kashagan’s disastrous overruns show how these “public/private” collaborations in difficult oil fields can quickly go bad for both sides.
Kashagan is a complicated project under the best of circumstances. The oil derricks sited offshore had to be redesigned atop “islands” that were built for them when it was discovered that the Caspian is shallow enough at this location that it freezes all the way to the bottom during the winter, making drilling with conventional rigs impossible. The companies had to build artificial islands of rock and rubble and drill through these. Further, the oil is under high pressure from corrosive natural gas high in toxic chemicals. That meant building a sulfur-removal system onshore, reached by a pipeline, for the portion of the gas to be recovered. It took operators nearly two years to factor this level of sour gas into infrastructure design. And heavy pipe-laying machines sometimes broke down in the cold.
A number of circumstances have contributed to the schedule delays and budget overruns, including:
• Administrative confusion as the major contractors could not decide who would be in charge of the development. When Exxon Mobil originally attempted to take charge, Shell executives threatened to pull out of the partnership. Ultimately, the much smaller Eni SpA was named lead contractor, although each company had veto power over all major planning decisions.
• Relationships with the Kazakhstan government have deteriorated as the project has experienced delay after delay. By 2008, the government began levying penalties for the extended delays, making the oil companies’ investment in the project all the more expensive. Eni Chief Executive Paolo Scaroni said his company’s relationship with the government “has been excellent” considering the years of trouble. A senior official of Kazakhstan’s state-owned oil company, KMG, disagreed. “It’s a marriage that is made in hell,” he said.
• Problems with human resources assigned to the project. As part of the agreement with the local government, oil companies had to employ large numbers of local workers, with a portion of them mandated to perform office func- tions. One former official recalled hiring hundreds of enthusiastic locals who had “never sat in front of a computer.”
• Leaking pipes. In 2013, the companies prepared for a milestone: starting commercial oil production and transfer- ring the role of operator to a Shell-led group. On September 11, the companies announced that oil was flowing. About two weeks after that, parts of the underground gas pipeline began leaking into the Caspian Sea. Oil pumping stopped while workers inspected and found a leak. Crews patched it, and oil pumping resumed. Two weeks later, the pipeline sprang new leaks. This time, the companies shut down the whole Kashagan operation. Workers spent the fall excavating parts of the 55-mile pipeline and sending section for tests at a UK lab.
• Technical errors. The oil companies used outdated Russian cruise line ships as floating barracks for oil workers. How- ever, besides these construction-worker barracks, offshore accommodations for the permanent staff were needed. Around 2005, Eni’s partners realized that plans for these put them too near a production site. Eni redesigned the accommodations, delaying construction by another year.
The series of missteps and technical challenges has left everyone feeling dissatisfied. Oil company and Kazakh officials sniped at one another. “Nobody’s happy with the governance, and I don’t think anybody’s happy with the operatorship,” Shell Chief Financial Officer Simon Henry said. Cracks were found in several places along the pipeline, according to people familiar with the inspection, who said it appeared the metal had lost some of its factory character- istics, possibly through a combination of poor welding practices and the natural gas’s hydrogen-sulfide content.
Finally, the combination of technical challenges, unexpected (and unresolved) pipeline leaks, finger-pointing by executives from Kazakhstan and the oil companies, and stiff financial penalties for delays became too much for some of the consortium. In 2013, longtime partner ConocoPhillips sold its stake in the project to KMG, which later resold it to China National Petroleum Corp. “We got our $5.5 billion in the bank and got out of Kashagan,” said Al Hirshberg, a Conoco executive, at a conference last fall. He added: “It feels good to be out of it.”1
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9.1 Project Scheduling
Project scheduling techniques lie at the heart of project planning and subsequent monitoring and control. Previous chapters have examined the development of vision and goals for the project, project screening activities, risk management practices, and project scope (including the Work Breakdown Structure). Project scheduling represents the conversion of project goals into an achiev- able methodology for their completion; it creates a timetable and reveals the network logic that relates project activities to each other in a coherent fashion. Because project management is predi- cated on completing a finite set of goals under a specified time frame, exactly how we develop the project’s schedule is vitally important to success.
This chapter will examine a number of elements in project scheduling and demonstrate how to build the project plan from a simple set of identified project activities into a graphical set of sequential relationships between those tasks which, when performed, result in the comple- tion of the project goals. Project scheduling has been defined by the Project Management Body of Knowledge as “an output of a schedule model that presents linked activities with planned dates, durations, milestones, and resources.”2 The term linked activities is important because it illus- trates the scheduling goal. Project scheduling defines network logic for all activities; that is, tasks must either precede or follow other tasks from the beginning of the project to its completion.
Suppose you and your classroom team were given an assignment on leadership and were expected to turn in a paper and give a presentation at the end of the semester. It would first be nec- essary to break up the assignment into the discrete set of individual activities (Work Breakdown Structure) that would allow your team to finish the project. Perhaps you identified the following tasks needed to complete the assignment:
1. Identify topic 2. Research topic 3. Write first draft of paper 4. Edit and rewrite paper 5. Prepare class presentation 6. Complete final draft 7. Complete presentation 8. Hand in paper and present topic in class
Carefully defining all the steps necessary to complete the assignment is an important first step in project scheduling as it adds a sequential logic to the tasks and goes further in that it allows you to create a coherent project plan from start to finish. Suppose, to ensure the best use of your time and availability, you were to create a network of the activities listed above, that is, the most likely order in which they must occur to be done correctly. First, it would be necessary to determine a reason- able sequence. Preceding activities are those that must occur before others can be done. For example, it would be necessary to first identify the term paper topic before beginning to conduct research on it. Therefore, activity 1, Identify topic, is a preceding activity; and activity 2, Research topic, is referred to as a subsequent, or successor, activity.
Once you have identified a reasonable sequential logic for the network, you can construct a network diagram, which is a schematic display of the project’s sequential activities and the logical relationships between them. Figure 9.2 shows two examples of a network diagram for your proj- ect. Note that in Option A, the easiest method for constructing a network diagram is to simply lay out all activities in serial order, starting with the first task and concluding with the final activity. This option, however, is usually not the most efficient one. It could be argued, for example, that it is not necessary that the whole project team be involved in each of the activities, requiring you to delay the start of activity 6, Complete final draft (F in Figure 9.2), until after activity 5, Prepare class presentation. Another choice might be to use the time better by having some members of the team begin work on the presentation while others are still completing the paper. Any of these options mean that you are now constructing a project network with two paths, or parallel streams of activi- ties, some of which are going on simultaneously. This alternative network can be seen in Option B of Figure 9.2.
This simplified example illustrates the process of applying sequential logic to project tasks in order to construct an activity network. In creating a sense of timing for activities in addi- tion to their functions, the activity network allows project teams to use a method for planning
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and scheduling. There are several reasons why it is so important that project networks and sched- uling be done well. Among the reasons are the following:3
• A network clearly illustrates the interdependence of all tasks and work packages. Doing something wrong earlier in the project has severe implications for downstream activities.
• Because a network illustrates this interrelationship among activities and project personnel, it facilitates communication flows. People are much more attuned to the work that went on before their involvement, and they develop a keener appreciation of the concerns of those who will take over at later points.
• A network helps with master scheduling of organizational resources because it shows times when various personnel must be fully committed to project activities. Without some sense of where the project fits into the overall organizational scheme, personnel may be assigned to multiple activities at a time when they are most needed on the project.
• A network identifies the critical activities and distinguishes them from the less critical. The network reveals the activities that absolutely must be completed on time to ensure that the overall project is delivered on time; in the process, activities that have some “wiggle room” are identified as well.
• Networks determine when you can expect projects to be completed. • Dates on which various project activities must start and end in order to keep to the overall
schedule are identified in a network. • A network demonstrates which activities are dependent on which other activities. You then
know the activities that need to be highly coordinated in order to ensure the smooth develop- ment of the project.
These are just some of the advantages of using activity networks for project scheduling.
9.2 Key Scheduling terminology
Every profession has its unique jargon and terminology. In project scheduling, a number of specific terms are commonly employed and so need specific definitions. In many cases, their definitions are taken from the Project Management Institute’s Body of Knowledge. Some concepts that you
Option B: Nonserial Sequential Logic
A Identify topic
B Research
C Paper draft
H Finish
D Edit paper
E Prepare
presentation
F Final draft
G Finish
presentation
Figure 9.2 Alternative Activity Networks for term Paper Assignment
Option A: Serial Sequential Logic
A Identify topic
B Research
C Paper draft
D Edit paper
E Prepare
presentation
F Final draft
G Finish
presentation
H Finish
9.2 Key Scheduling Terminology 301
will see again and again throughout this chapter (and subsequent chapters) are listed here. You have already run across some of these terms in previous chapters.
scope—The work content and products of a project or component of a project. Scope is fully described by naming all activities performed, the resources consumed, and the end products that result, including quality standards. work Breakdown structure (wBs)—A task-oriented “family tree” of activities that orga- nizes, defines, and graphically displays the total work to be accomplished in order to achieve the final objectives of a project. Each descending level represents an increasingly detailed definition of the project objective. work package—A deliverable at the lowest level of the Work Breakdown Structure; it is an ele- ment of work performed during the course of a project. A work package normally has an expected duration plus an expected cost. Other generic terms for project work include task or activity. Project network diagram (Pnd)—Any schematic display of the logical relationships of project activities. Path—A sequence of activities defined by the project network logic. event—A point when an activity is either started or completed. Often used in conjunction with AOA networks, events consume no resources and have no time to completion associ- ated with them. node—One of the defining points of a network; a junction point joined to some or all of the others by dependency lines (paths). Predecessors—Those activities that must be completed prior to initiation of a later activity in the network. successors—Activities that cannot be started until previous activities have been completed. These activities follow predecessor tasks. early start (es) date—The earliest possible date on which the uncompleted portions of an activity (or the project) can start, based on the network logic and any schedule constraints. Early start dates can change as the project progresses and changes are made to the project plan. late start (ls) date—The latest possible date that an activity may begin without delaying a specified milestone (usually the project finish date). forward pass—Network calculations that determine the earliest start/earliest finish time (date) for each activity. The earliest start and finish dates are determined by working forward through each activity in the network. Backward pass—Calculation of late finish times (dates) for all uncompleted network activi- ties. The latest finish dates are determined by working backward through each activity. Merge activity—An activity with two or more immediate predecessors (tasks flowing into it). Merge activities can be located by doing a forward pass through the network. The PMBoK refers to merge activities as “path convergence.” Burst activity—An activity with two or more immediate successor activities (tasks flowing out from it). Burst activities can be located by doing a backward pass through the network. The PMBoK refers to burst activities as “path divergence.” float—The amount of time an activity may be delayed from its early start without delaying the finish of the project. Float is a mathematical calculation and can change as the project pro- gresses and changes are made in the project plan. Also called slack, total float, and path float. In general, float is the difference between the late start date and the early start date (LS − ES) or between the late finish date and early finish date (LF − EF). critical path—The path through the project network with the longest duration. The critical path may change from time to time as activities are completed ahead of or behind schedule. Critical path activities are identified as having zero float in the project. critical Path Method (cPM)—A network analysis technique used to determine the amount of scheduling flexibility (the amount of float) on various logical network paths in the project sched- ule network, and to determine the minimum total project duration. It involves the calculation of early (forward scheduling) and late (backward scheduling) start and finish dates for each
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activity. Implicit in this technique is the assumption that whatever resources are required in any given time period will be available. Activities times are assumed to be known, or deterministic. resource-limited schedule—A project schedule whose start and finish dates reflect expected resource availability. The final project schedule should always be resource-limited. Program evaluation and review technique (Pert)—An event- and probability-based net- work analysis system generally used in projects where activities and their durations are dif- ficult to define. PERT is often used in large programs where the projects involve numerous organizations at widely different locations.
The two most common methods for constructing activity networks involve Activity-on-Arrow (AoA) and Activity-on-node (Aon) logic. In the AOA method, the arrow represents the task, or activity, and the node signifies an event marker that suggests the completion of one activity and the potential to start the next. In AON methodology, the node represents an activity and the path arrows demonstrate the logical sequencing from node to node through the network. AOA approaches were most popular several decades ago and are still used to some extent in the con- struction industry, but with the rapid rise in computer-based scheduling programs, there is now a strong emphasis on AON methodology. Hence, in this chapter, we use AON examples and dia- grams exclusively. Chapter 10 will discuss the rudiments of AOA network modeling.
9.3 develoPing a networK
Network diagramming is a logical, sequential process that requires you to consider the order in which activities should occur to schedule projects as efficiently as possible. There are two primary methods for developing activity networks, PERT and CPM. PERT, which stands for Program Evaluation and Review Technique, was developed in the late 1950s in collaboration between the U.S. Navy, Booz- Allen Hamilton, and Lockheed Corporation for the creation of the Polaris missile program. PERT originally was used in research and development (R&D), a field in which activity duration estimates can be difficult to make, and resulted from probability analysis. CPM, or Critical Path Method, was developed independently at the same time as PERT by DuPont, Inc. CPM, used commonly in the con- struction industry, differs from PERT primarily in the assumptions it makes about estimating activity durations. CPM assumes that durations are more deterministic; that is, they are easier to ascertain and can be assigned to activities with greater confidence. Further, CPM was designed to better link (and therefore control) project activity time and costs, particularly the time/cost trade-offs that lead to crashing decisions (speeding up the project). Crashing the project will be explained in more detail in Chapter 10. In practice, however, over the years the differences between PERT and CPM have blurred to the point where it is now common to simply refer to these networking techniques as PERT/CPM.4
Prior to constructing an activity network, there are some simple rules of thumb you need to become familiar with as you develop the network diagram. These rules are helpful in understand- ing the logic of activity networks.5
1. Some determination of activity precedence ordering must be done prior to creating the net- work. That is, all activities must be logically linked to each other—those that precede others, as well as successor activities (those that must follow others).
2. Network diagrams usually flow from left to right. 3. An activity cannot begin until all preceding connected activities have been completed. 4. Arrows on networks indicate precedence and logical flow. Arrows can cross over each other,
although it is helpful for clarity’s sake to limit this effect when possible. 5. Each activity should have a unique identifier associated with it (number, letter, code, etc.).
For simplicity, these identifiers should occur in ascending order; each one should be larger than the identifiers of preceding activities.
6. Looping, or recycling through activities, is not permitted. 7. Although not required, it is common to start a project from a single beginning node, even in
the case when multiple start points are possible. A single node point also is typically used as a project end indicator.
With these simple rules of thumb firmly in mind, you can begin to uncover some of the basic prin- ciples of establishing a network diagram. Remember that AON methodology represents all activi- ties within the network as nodes. Arrows are used only to indicate the sequential flow of activities from the start of the project to its conclusion.
9.3 Developing a Network 303
labeling nodes
Nodes representing project activities should be clearly labeled with a number of different pieces of information. It is helpful if the nodes at least contain the following data: (1) identifier, (2) descrip- tive label, (3) activity duration, (4) early start time, (5) early finish time, (6) late start time, (7) late finish time, and (8) activity float. Figure 9.3 shows the labeling for a node with each piece of infor- mation assigned to a location within the activity box. The arrangement selected for this node was arbitrary; there is no accepted standard for labeling activity nodes. For example, the node shown in Figure 9.4 was derived from a standard Microsoft Project 2013 output file. Note that in this example, the activity start and finish dates are shown, as well as the resource person responsible for the activity’s completion.
Complete labels on activity nodes make it easier to use the network to perform additional calculations such as identifying critical path, activity float (or slack), total project duration, and so on. When constructing network diagrams during the early development of the project, all necessary information about the activity can be retrieved quickly as long as nodes are fully labeled.
Serial activities
serial activities are those that flow from one to the next, in sequence. Following the logic of Figure 9.5, we cannot begin work on activity B until activity A has been completed. Activity C cannot begin until both activities A and B are finished. Serial activity networks are the simplest in that they create only linkages of activity sequencing. In many cases, serial networks are appro- priate representations of the project activities. Figure 9.5 demonstrates how, in the earlier exam- ple of preparing for a term paper and presentation, several activities must necessarily be linked serially. Identifying the topic, conducting research, and writing the first draft are activities that must link in series, because subsequent activities cannot begin until the previous (predecessor) ones have been completed.
network logic suggests that:
Activity A can begin immediately. Activity B cannot begin until activity A is completed. Activity C cannot begin until both activities A and B are completed.
concurrent activities
In many circumstances, it is possible to begin work on more than one activity simultaneously, assuming that we have the resources available for both. Figure 9.6 provides an example of how
Early start
Identifier number Early finish
Activity float
Activity descriptor
Late start
Activity duration
Late finish
Figure 9.3 labels for Activity Node
2. Research Topic
Start: 6/13/14 ID: 2
Finish: 7/3/14 Dur:15 days
Res: John Smith
Figure 9.4 Activity Node labels Using MS Project 2013
Source: MS Project 2013, Microsoft Corporation.
A Identify topic
B Research
C Paper draftFigure 9.5 Project Activities linked
in Series
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concurrent or parallel project paths are represented in an activity network. When the nature of the work allows for more than one activity to be accomplished at the same time, these activities are called concurrent, and parallel project activity paths are constructed through the network. In order to successfully operate concurrent activities, the project must be staffed with sufficient human resources to support all simultaneous activities. This is a critical issue, because a network cannot be created without giving thought to the resource requirements needed to support it.
network logic suggests that:
Activities D and E can begin following the completion of activity C. Activity F can begin following the completion of activity D and is independent of activity E. Activity G can begin following the completion of activity E and is independent of activity D. Activity H can begin following the completion of both activities F and G.
merge activities
Merge activities are those with two or more immediate predecessors. Figure 9.7 is a partial net- work diagram that shows how merge activities are expressed graphically. Merge activities often are critical junction points, places where two or more parallel project paths converge within the overall network. Figure 9.7 demonstrates the logic of a merge activity: You cannot begin activity D until all predecessor activities, A, B, and C, have been completed. The start of the merge activity is subject to the completion of the longest prior activity. For example, suppose that activities A, B, and C all start on the same day. Activity A has a duration of 3 days, activity B’s duration is 5 days, and activity C has a duration of 7 days. The earliest activity D, the merge point, can start is on day 7, following completion of all three predecessor activities.
network logic suggests that:
Activity D can only begin following the completion of activities A, B, and C.
C Paper draft
D Edit paper
E Prepare
presentation
F Final draft
G Finish
presentation
H Finish
Figure 9.6 Activities linked in Parallel (concurrent)
Activity A
Activity B
Activity C
Activity D
Figure 9.7 Merge Activity
9.3 Developing a Network 305
Burst activities
Burst activities are those with two or more immediate successor activities. Figure 9.8 graphi- cally depicts a burst task, with activities B, C, and D scheduled to follow the completion of activity A. All three successors can only be undertaken upon the completion of activity A. Unlike merge activities, in which the successor is dependent upon completion of the longest predecessor activity before it can begin, all immediate successors can begin simultaneously upon completion of the burst activity.
network logic suggests that:
Activities B, C, and D can only begin following the completion of activity A.
examPle 9.1
Let’s begin constructing a basic activity network. Table 9.1 identifies eight activities and their pre- decessors in a simple example project. Once we have determined the tasks necessary to accomplish the project, it is important to begin linking those tasks to each other. In effect, we are taking the project tasks in the Work Breakdown Structure and adding a project chronology.
Once the network activity table has been developed and the predecessors identified, we can begin the process of network construction. The first activity (A) shows no predecessors; it is the starting point in the network and placed to the far left of our diagram. Next, activities B and C both identify activity A as their predecessor. We can place them on the network as well. Activity D lists both activities B and C as predecessors. Figure 9.9 gives a partial network diagram based on the in- formation we have compiled to this point. Note that, based on our definitions, activity A is a burst activity and activity D is a merge activity.
We can continue to create the network iteratively as we add additional activity nodes to the diagram. Figure 9.10 shows the final activity network. Referring back to an earlier point,
taBle 9.1 information for Network construction
Name: Project Delta
Activity Description Predecessors
A Contract signing None
B Questionnaire design A
C Target market ID A
D Survey sample B, C
E Develop presentation B
F Analyze results D
G Demographic analysis C
H Presentation to client E, F, G
Activity A Activity C
Activity B
Activity D
Figure 9.8 Burst Activity
306 Chapter 9 • Project Scheduling
A Contract
D Survey
F Analysis
H Presentation
G Demographics
E Develop
presentation
C Market ID
B Design
Figure 9.10 complete Activity Network for Project Delta
B
C
A D
Figure 9.9 Partial Activity Network Based on Project Delta
note that this network begins with a single node point (activity A) and concludes with a single point (activity H). The merge activities associated with this network include activities D (with activities B and C merging at this node) and H (with activities E, F, and G merging at this node). Activities A, B, and C are burst activities. Recall that burst activities are defined as those with two or more immediate successors in the network. Activity A has the successor tasks B and C, activity B has tasks D and E following it, and activity C has two successors (D and G).
If we employed Microsoft Project 2013 to create the network diagram, we would first enter each of the activities into the template shown in Figure 9.11. Note that for this example, we are not assigning any durations to the activities, so the default is set at 1 day for each activity.
The next step in using MS Project to create a network is to identify the predecessor activities at each step in the project. In Figure 9.12, we begin to build the network by specifying each prede- cessor and successor in the network. Double-clicking the mouse on an activity will bring up a Task Information window (shown in Figure 9.12). In that window, we can specify the task or tasks that are predecessors of our current activity. For activity B (questionnaire design), we have specified a single predecessor (contract signing).
Once we have added each task in turn, the project network is completed. MS Project can be used to generate the final network, as shown in Figure 9.13. Note that each activity is still labeled as needing only 1 day for completion. In the next section of this chapter, we begin to consider the manner in which individual activity durations can be determined.
9.4 Duration Estimation 307
Figure 9.12 task information Window Used to Specify Predecessors for Activity Networks
Source: MS Project 2013, Microsoft Corporation.
Figure 9.11 Developing the Activity Network Using MS Project 2013
Source: MS Project 2013, Microsoft Corporation.
9.4 duration eStimation
The next step in building the network is to estimate activity durations for each step in the project. The first point to remember is that these estimates are based on what is assumed to be normal working methods during normal business or working hours. Second, although factors such as
Figure 9.13 the completed MS Project 2010 Network Diagram
Source: MS Project 2013, Microsoft Corporation.
308 Chapter 9 • Project Scheduling
past experience or familiarity with the work will influence the accuracy of these estimates, activ- ity durations are always somewhat uncertain. Third, time frames for task estimates can vary from several hours for short projects to days and weeks for longer projects.
Activity durations can be estimated in a number of different ways, including:6
• Experience. In cases where the organization has previously done similar work, we can use history as a guide. This approach is relatively easy; we simply call upon past examples of similar projects and use them as a baseline. The main drawback to this approach is that it assumes what worked in the past will continue to work today. Projects are affected by exter- nal events that are unique to their own time. Therefore, in using experience, we must be aware of the potential for using distorted or outdated information.
• Expert opinion. At times we may be told to contact a past project manager or expert in a particular area to get accurate information on activity estimates. Intuitively this approach would seem to be useful—if you want to know something, go to an expert. Yet “experts” are considered experts precisely because they know the easiest avenues, best contacts, and fast- est processes to complete tasks. Would an expert’s estimate of completion time be valid for nonexperts doing the same activity? The answer is not absolute, but the question suggests that we use caution in our application of expert opinion.
• Mathematical derivation. Another approach offers a more objective alternative to activity duration estimation and sidesteps many of the problems that can be found in more subjec- tive methods. This method consists of developing duration probability based on a reasoned analysis of best-case, most likely case, and worst-case scenarios.
There are two primary means for developing duration estimates. We discussed earlier in this chapter (Section 9.3) the idea that the simplest approach is to assume a deterministic model for activity durations. Deterministic estimation means that activity durations are fairly predictable; that is, they do not consider variation in the activity completion time. So, for example, when developing a construction project, we can call upon years of experience to know that the time it takes to dig the foundation and pour concrete “foot- ers” for a 2,500-square-foot residential construction will be 10 hours. This is an example of a predictable, or deterministic, time estimate. On the other hand, for many project activities, we can only make educated estimates of their likely duration, based partially on past experience, but also requiring us to take into consideration the likelihood of variation in how long the activity may take to complete. Developing a new software procedure using the latest generation of programming code (one which our company’s programmers are still learning) can be a difficult project with which to make activity duration estimates. It is for this reason that mathematical procedures have been created to help determine activity times.
In order to understand how to use mathematical derivation to determine expected activity times, we need to consider the basics of probability distributions. Probability suggests that the amount of time an activity is likely to take can rarely be positively determined; rather, it is found as the result of sampling a range of likelihoods, or probabilities, of the event occurring. These likelihoods range from 0 (no probability) to 1 (complete probability). In order to derive a reasonable probabilistic estimate for an activity’s duration, we need to identify three values: (1) the activity’s most likely duration, (2) the activ- ity’s most pessimistic duration, and (3) the activity’s most optimistic duration. The most likely duration is determined to be the length of time expected to complete an activity assuming the development of that activity proceeds normally. Pessimistic duration is the expected length of time needed to develop the activity under the assumption that everything will go badly (Murphy’s Law). Finally, optimistic duration is estimated under the assumption that the development process will proceed extremely well.
For these time estimates, we can use probability distributions that are either symmetrical (the normal distribution) or asymmetrical (the beta distribution). A normal distribution implies that the probability of an event taking the most likely time is one that is centered on the mean of the distribution (see Figure 9.14). Because pessimistic and optimistic values are estimated at the 95% confidence level from either end of the distribution, they will cancel each other out, leaving the mean value as the expected duration time for the activity.
In real life it is extremely rare to find examples in which optimistic and pessimistic dura- tions are symmetrical to each other about the mean. In project management, it is more common to see probability distributions that are asymmetrical; these are referred to as beta distributions. The asymmetry of the probability distribution suggests we recognize that certain events are less likely to occur than others. An activity’s optimistic time may lie within one standard deviation from the mean while its pessimistic time may be as much as three or four standard deviations away. To illus- trate, suppose that we began construction on a highway bridge and wished to estimate the length
9.4 Duration Estimation 309
of time (duration) it would take to place the steel girders needed to frame the bridge. We expect that the duration for the framing task will take six days; however, a number of factors could change that duration estimate. We could, for example, experience uncommonly good weather and have no technical delays, allowing us to finish the framing work in only four days. On the other hand, we could have terrible weather, experience delivery delays for needed materials, and lose time in labor disputes, all leading to a pessimistic estimate of 14 days. This example demonstrates the asymmetri- cal nature of duration estimates; while our most likely duration is 6 days, the range can vary from 4 to 14 days to complete the task.
The optimistic and pessimistic duration values essentially serve as upper and lower bounds for the distribution range. Figure 9.15 illustrates a beta distribution with the values m (most likely duration), a (most optimistic duration), and b (most pessimistic duration) identified.
Two assumptions are used to convert the values of m, a, and b into estimates of the expected time (TE) and variance (s2) of the duration for the activity. One important assumption is that s, the standard deviation of the duration required to complete the task, equals one-sixth of the range for reasonably possible time requirements. The variance for an activity duration estimate is given by the formula:
s2 = [(b - a)>6]2 The logic for this assumption is based on the understanding that to achieve a probability distribution with a 99% confidence interval, observations should lie within three standard deviations of the mean in either direction. A spread of six standard deviations from tail to tail in the probability distribution, then, accounts for 99.7% of the possible activity duration alternatives.
Because optimistic and pessimistic times are not symmetrical about the mean, the second assumption refers to the shape of the probability distribution. Again, the beta, or asymmetrical, dis- tribution better represents the distribution of possible alternative expected duration times (TE) for estimating activities. The beta distribution suggests that the calculation for deriving TE is shown as:
TE = (a + 4m + b)>6 where
TE = estimated time for activity a = most optimistic time to complete the activity
m = most likely time to complete the activity, (the mode of the distribution) b = most pessimistic time to complete the activity
Beta distribution
Elapsed time
0 ma b
Figure 9.15 Asymmetrical (Beta) Distribution for Activity Duration estimation
f (x)
x
Shaded area = 1– α
–Z1– α /2 Z1– α /2
Figure 9.14 Symmetrical (Normal) Distribution for Activity Duration estimation
310 Chapter 9 • Project Scheduling
In this calculation, the midpoint between the pessimistic and optimistic values is the weighted arithmetic mean of the mode and midrange, representing two-thirds of the overall weighting for the calculated expected time. The additional weighting is intended to highlight the clustering of expected values around the distribution mean, regardless of the length of both pessimistic and optimistic tails (total distribution standard deviation).
How do we put together all of these assumptions to perform an accurate activity duration estimation? The next step is to construct an activity duration estimate table (see Table 9.2). For sim- plicity, all numbers shown are in weeks.
Table 9.2 demonstrates the most likely times for each activity based on a reasonably accu- rate assessment of how long a task should take, could take if everything went well, and would take if everything went poorly. If we assign the value a to the most optimistic duration estimate, the project manager must assign a value to this activity such that the actual amount of time needed to complete the activity will be a or greater 99% of the time. Conversely, in assigning a value for the most pessimistic duration, b, the project manager should estimate the duration of the activity to have a 99% likelihood that it will take b or less amount of time.
The standard formula for estimating expected activity duration times is based on the weighting ratio of 1 * optimistic, 4 * likely, and 1 * pessimistic. Researchers and practitioners alike, however, have found that this ratio is best viewed as a heuristic whose basic assump- tions are affected by a project’s unique circumstances. One argument holds that the above ratio is far too optimistic and does not take into consideration the negative impact created when the worst-case or pessimistic estimate proves accurate. Further, given the inherent uncertainty in many projects, significant levels of risk must be accounted for in all probabilistic estimates of duration.
Extensive research into the topic of improving the accuracy of activity duration estima- tion has not led to definitive results. Modeling techniques such as Monte Carlo simulation and linear and nonlinear programming algorithms generally have demonstrated that the degree of uncertainty in task durations can have a significant impact on the optimum method for dura- tion estimation. Because uncertainty is so common in activity estimation, more than one activity estimate may be reasonably held. The goal is to achieve a confidence interval that provides the highest reasonable probability of being accurate. Probability estimation using 99% confidence intervals represents a degree of confidence few project managers would be willing to demon- strate, according to Meredith and Mantel.7 Consequently, when the confidence interval level assumption is relaxed to, for example, 90%, the variance calculations and estimates of duration must be modified accordingly. Although the debate is likely to continue, an estimation formula of 1:4:1 (optimistic:likely:pessimistic)/6 is commonly accepted.
Using this ratio as a tool, it is now possible to calculate expected activity duration times for each of the tasks identified in Table 9.2. Table 9.3 shows the calculated times for each activity, based on the assumption of a beta distribution.
taBle 9.2 Activity Duration estimates for Project Delta
Name: Project Delta
Durations are listed in weeks
Activity Description optimistic likely Pessimistic
A Contract signing 3 4 11
B Questionnaire design 2 5 8
C Target market ID 3 6 9
D Survey sample 8 12 20
E Develop presentation 3 5 12
F Analyze results 2 4 7
G Demographic analysis 6 9 14
H Presentation to client 1 2 4
9.5 Constructing the Critical Path 311
Creating the project network and calculating activity durations are the first two key steps in developing the project schedule. The next stage is to combine these two pieces of information in order to create the project’s critical path diagram.
9.5 conStructing the critical Path
The next step is to link activity duration estimates and begin construction of the critical path. Critical path calculations link activity durations to the preconstructed project activity network. This point is important: The project network is first developed using activity precedence logic, then, following task duration estimates, these values are applied in a structured process to each activity to determine overall project length. In addition to allowing us to determine how long the project is going to take, applying time estimates to the network lets us discover activity float (which activities can be delayed and which cannot), the latest and earliest times each activ- ity can be started or must be completed, and the latest and earliest times each activity can be completed.
calculating the network
The process for developing the network with time estimates is fairly straightforward. Once the activity network and duration estimates are in place, the actual network calculation computa- tions can proceed. Look again at the network in Figure 9.10 and the duration estimates given in Table 9.3 that assume a beta distribution. In this example, the time estimates are rounded to the nearest whole integer. The activity information is summarized in Table 9.4.
taBle 9.4 Project information
Project Delta
Activity Description Predecessors estimated Duration
A Contract signing None 5
B Questionnaire design A 5
C Target market ID A 6
D Survey sample B, C 13
E Develop presentation B 6
F Analyze results D 4
G Demographic analysis C 9
H Presentation to client E, F, G 2
taBle 9.3 estimated Project Activity times Using Beta Distribution
Name: Project Delta
Durations are listed in weeks
Activity Description Beta (1:4:1 ratio)/6
A Contract signing 5
B Questionnaire design 5
C Target market ID 6
D Survey sample 12.7
E Develop presentation 5.8
F Analyze results 4.2
G Demographic analysis 9.3
H Presentation to client 2.2
312 Chapter 9 • Project Scheduling
The methodology for using this information to create a critical path requires two steps: a forward pass through the network from the first activity to the last and a backward pass through the network from the final activity to the beginning. The forward pass is an additive process that cal- culates the earliest times an activity can begin and end. Once we have completed the forward pass, we will know how long the overall project is expected to take. The backward pass is a subtractive process that gives us information on when the latest activities can begin and end. Once both the forward and backward passes have been completed, we will also be able to determine individual activity float and, finally, the project’s critical path.
After labeling the network with the activity durations, we begin to determine the various paths through the network. Figure 9.16 shows a partial activity network with durations labeled for each of the eight project activities. Each path is discovered by assessing all possible sequences of precedence activities from the beginning node to the end. Here, we can identify four separate paths, labeled:
Path One: A - B - E - H Path Two: A - B - D - F - H Path Three: A - C - D - F - H Path Four: A - C - G - H
Since we now know the activity times for each task, we can also identify the critical path. The critical path is defined as the “series of interdependent activities of a project, connected end-to-end, which determines the shortest total length of the project.”8 The shortest total length of time needed to com- plete a project is determined by the longest path through the network. The length of the four paths listed above can be derived simply by adding their individual activity durations together. Hence,
Path One: A - B - E - H = 18 weeks Path Two: A - B - D - F - H = 29 weeks Path Three: A - C - D - F - H = 30 weeks Path Four: A - C - G - H = 22 weeks
Path Three, which links the activities A – C – D – F – H, is scheduled for duration of 30 weeks and is the critical path for this activity. In practical terms, this path has no float, or slack time, associated with it.
the Forward Pass
We can now begin adding more information to the network by conducting the forward pass to determine the earliest times each activity can begin and the earliest it can be completed. The pro- cess is iterative; each step builds on the information contained in the node immediately preceding
B Design
5
C Market ID
6
G Demographics
9
E Develop
presentation 6
A Contract
5
D Survey
13
F Analysis
4
H Presentation
2
Figure 9.16 Partial Project Activity Network with task Durations
9.5 Constructing the Critical Path 313
it in the network. The beginning activity, contract signing, can be started at time 0 (immediately). Therefore, the earliest that activity A can be completed is on day 5. Early finish for any activity (EF) is found by taking its early start (ES) time and adding its activity duration (ES + Dur = EF). Therefore, activity B (questionnaire design) has an activity early start time of 5. This value corre- sponds to the early finish of the activity immediately preceding it in the network. Likewise, activ- ity C, which is also dependent upon the completion of activity A to start, has an early start of 5. The early finish for activity B, calculated by (ES + Dur = EF), is 5 + 5, or 10. The early finish for activity C is found by 5 + 6 = 11. Figure 9.17 shows the process for developing the forward pass through the activity network.
The first challenge occurs at activity D, the merge point for activities B and C. Activity B has an early finish (EF) time of 10 weeks; however, activity C has an EF of 11 weeks. What should be the activity early start (ES) for activity D?
In order to answer this question, it is helpful to review the rules that govern the use of for- ward pass methodology. Principally, there are three steps for applying the forward pass:
1. Add all activity times along each path as we move through the network (ES + Dur = EF). 2. Carry the EF time to the activity nodes immediately succeeding the recently completed
node. That EF becomes the ES of the next node, unless the succeeding node is a merge point.
3. At a merge point, the largest preceding EF becomes the ES for that node.
Applying these rules, at activity D, a merge point, we have the option of applying either an EF of 10 (activity B) or of 11 (activity C) as our new ES. Because activity C’s early finish is larger, we would select the ES value of 11 for this node. The logic for this rule regarding merge points is important: Remember that early start is defined as the earliest an activity can begin. When two or more immediate predecessors have varying EF times, the earliest the successor can begin is when all preceding activities have been completed. Thus, we can determine that it would be impossible for activity D to begin at week 10 because one of its predecessors (activity C) would not have been finished by that point.
If we continue applying the forward pass to the network, we can work in a straightforward manner until we reach the final node, activity H, which is also a merge point. Activity H has three immediate predecessors, activities E, F, and G. The EF for activity E is 16, the EF for activity F is 28, and the EF for activity G is 20. Therefore, the ES for activity H must be the largest EF, or 28. The final length of the project is 30 weeks. Figure 9.18 illustrates the overall network with all early start and early finish dates indicated.
5 B 10 Design
5
5 C 11 Market ID
6
0 A 5 Contract
5
D Survey
13
Figure 9.17 Partial Activity Network with Merge Point at Activity D
314 Chapter 9 • Project Scheduling
the Backward Pass
We now are able to determine the overall length of the project, as well as each activity’s early start and early finish times. When we take the next step of performing the backward pass through the network, we will be able to ascertain the project’s critical path and the total float time of each proj- ect activity. The backward pass is an iterative process, just as the forward pass is. The difference here is that we begin at the end of the network, with the final node. The goal of the backward pass is to determine each activity’s late start (LS) and late finish (LF) times. LS and LF are determined through a subtractive methodology.
In Figure 9.19, we begin the backward pass with the node representing activity H (presentation). The first value we can fill out in the node is the late finish (LF) value for the project. This value is the same as the early finish (30 weeks). For the final node in a project network, the EF = LF. Once we have identified the LF of 30 weeks, the LS for activity H is the difference between the LF and the activity’s duration; in this case, 30 - 2 = 28. The formula for determining LS is LF - Dur = LS. Thus, the LS for activity H is 28 and the LF is 30. These values are shown in the bottom of the node, with the LS in the bottom left corner and the LF in the bottom right corner. In order to determine the LF for the next three activities that are linked to activity H (activities E, F, and G), we carry the LS value of activity H backward to these nodes. Therefore, activities E, F, and G will each have 28 as their LF value.
0 A 5 Contract
0 5 5
5 B 10 Design
6 5 11
5 C 11 Market ID
5 6 11
11 D 24 Survey
11 13 24
11 G 20 Demographics 19 9 28
24 F 28 Analysis
24 4 28
10 E 16 Develop
presentation 22 6 28
28 H 30 Presentation 28 2 30
Figure 9.19 Activity Network with Backward Pass
5 B 10 Design
5
5 C 11 Market ID
6
11 G 20 Demographics
9
10 E 16 Develop
presentation 6
0 A 5 Contract
5
11 D 24 Survey
13
24 F 28 Analysis
4
28 H 30 Presentation
2
Figure 9.18 Activity Network with forward Pass
9.5 Constructing the Critical Path 315
Again, we subtract the durations from the LF values of each of the activities. The process continues to proceed backward, from right to left, through the network. However, just as in the forward pass we came upon a problem at merge points (activities D and H), we find ourselves in similar difficulty at the burst points—activities A, B, and C. At these three nodes, more than one preceding activity arrow converges, suggesting that there are multiple options for choosing the cor- rect LF value. Burst activities, as we defined them, are those with two or more immediate successor activities. With activity B, both activities D and E are successors. For activity D, the LS = 11, and for activity E, the LS = 22. Which LS value should be selected as the LF for these burst activities?
To answer this question, we need to review the rules for the backward pass.
1. Subtract activity times along each path as you move through the network (LF - Dur = LS). 2. Carry back the LS time to the activity nodes immediately preceding the successor node. That
LS becomes the LF of the next node, unless the preceding node is a burst point. 3. In the case of a burst point, the smallest succeeding LS becomes the LF for that node.
The correct choice for LF for activity B is 11 weeks, based on activity D. The correct choice for activ- ity C, either 11 or 19 weeks from the network diagram, is 11 weeks. Finally, the LS for activity B is 6 weeks and it is 5 weeks for activity C; therefore, the LF for activity A is 5 weeks. Once we have labeled each node with its LS and LF values, the backward pass through the network is completed.
We can now determine the float, or slack, for each activity as well as the overall critical path. Again, float informs us of the amount of time an activity can be delayed and still not delay the overall project. Activity float is found through using one of two equations: LF - EF = Float or LS - ES = Float. Consider activity E with 12 weeks of float. Assume the worst-case scenario, in which the activity is unexpectedly delayed 10 weeks, starting on week 20 instead of the planned week 10. What are the implications of this delay on the overall project? None. With 12 weeks of float for activ- ity E, a delay of 10 weeks will not affect the overall length of the project or delay its completion. What would happen if the activity were delayed by 14 weeks? The ES, instead of 10, is now 24. Adding activity duration (6 weeks), the new EF is 30. Take a look at the network shown in Figure 9.20 to see the impact of this delay. Because activity H is a merge point for activities E, F, and G, the largest EF value is the ES for the final node. The new largest EF is 30 in activity E. Therefore, the new node EF = ES + Dur, or 30 + 2 = 32. The effect of overusing available slack delays the project by 2 weeks.
One other important point to remember about activity float is that it is determined as a result of performing the forward and backward passes through the network. Until we have done the calcu- lations for ES, EF, LS, and LF, we cannot be certain which activities have float associated with them and which do not. Using this information to determine the project critical path suggests that the critical path is the network path with no activity slack associated with it. In our project, we can
0 A 5 0 Contract 0 5 5
5 B 10 1 Design 6 5 11
5 C 11 0 Market ID 5 6 11
11 D 24 0 Survey 11 13 24
11 G 20 8 Demographics 19 9 28
ES ID EF
Slack Task Name
LS Duration LF
24 F 28 0 Analysis 24 4 28
10 E 16 12 Develop presentation 22 6 28
28 H 30 0 Presentation 28 2 30
Figure 9.20 Project Network with Activity Slack and critical Path
Note: Critical path is indicated with bold arrows.
316 Chapter 9 • Project Scheduling
determine the critical path by linking the nodes with no float: A - C - D - F - H. The only time this rule is violated is when an arbitrary value has been used for the project LF; for example, suppose that a critical deadline date is inserted at the end of the network as the LF. Regardless of how many days the project is calculated to take based on the forward pass calculation, if a deadline is substituted for the latest possible date to complete the project (LF), there is going to be some negative float associated with the project. Negative float refers to delays in which we have used up all available safety, or float, and are now facing project delays. For example, if top management unilaterally sets a date that allows the project only 28 weeks to the LF, the project critical path will start with 2 weeks of negative slack. It is often better to resolve problems of imposed completion dates by paring down activity estimates rather than beginning the project with some stored negative float.
We can also determine path float; that is, the linkage of each node within a noncritical path. The path A - B - E - H has a total of 13 weeks of float; however, it may be impossible to “borrow” against the float of later activities if the result is to conflict with the critical path. Although there are 13 weeks of float for the path, activity B cannot consume more than one week of the total float before becoming part of the critical path. This is because B is a predecessor activity to activity D, which is on the critical path. Using more than one week of extra float time to complete activity B will result in delaying the ES for critical activity D and thereby lengthening the project’s critical path.
Probability of Project completion
Calculating the critical path in our example shows us that the expected completion of Project Delta was 30 weeks, but remember that our original time estimates for each activity were prob- abilistic, based on the beta distribution. This implies that there is the potential for variance (per- haps serious variance) in the overall estimate for project duration. Variations in activities on the critical path can affect the overall project completion time and possibly delay it significantly. As a result, it is important to consider the manner in which we calculate and make use of activity duration variances. Recall that the formula for variance in activity durations is:
s2 = [(b - a)/6]2, where b is the most pessimistic time and a is the most optimistic
Determining the individual activity variances is straightforward. As an example, let’s refer back to Table 9.3 to find the variance for activity A (contract signing). Since we know the most optimistic and pessimistic times for this task (3 and 11 days, respectively), we calculate its variance as:
Activity A : [(11 - 3)/6]2 = (8/6)2 = 64/36, or 1.78 weeks
This information is important for project managers because we want to know not just likely times for activities but also how much confidence we can place in these estimates; thus, for our project’s activity A, we can see that although it is most likely that it will finish in 5 weeks, there is a consider- able amount of variance in that estimate (nearly 2 weeks). It is also possible to use this information to calculate the expected variance and standard deviation for all activities in our Project Delta, as Table 9.5 demonstrates.
taBle 9.5 expected Activity Durations and Variances for Project Delta
Activity optimistic (a) Most likely (m) Pessimistic (b) expected time Variance [(b - a)/6]2
A 3 4 11 5 [(11 - 3)/6]2 = 64/36 = 1.78 B 2 5 8 5 [(8 - 2)/6]2 = 36/36 = 1.00 C 3 6 9 6 [(9 - 3)/6]2 = 36/36 = 1.00 D 8 12 20 12.7 [(20 - 8)/6]2 = 144/36 = 4.00 E 3 5 12 5.8 [(12 - 3)/6]2 = 81/36 = 2.25 F 2 4 7 4.2 [(7 - 2)/6]2 = 25/36 = 0.69 G 6 9 14 9.3 [(14 - 6)/6]2 = 64/36 = 1.78 H 1 2 4 2.2 [(4 - 1)/6]2 = 9/36 = 0.25
9.5 Constructing the Critical Path 317
We can use the information in Table 9.5 to calculate the overall project variance as well. Project variance is found by summing the variances of all critical activities and can be represented as the following equation:
sp 2 = Project variance = a (variances of activities on critical path)
Thus, using our example, we can calculate the overall project variance and standard deviation for Project Delta. Recall that the critical activities for this project were A – C – D – F – H. For the overall project variance, the calculation is:
Project variance (sp 2) = 1.78 + 1.00 + 4.00 + .69 + .25 = 7.72
The project standard deviation (sp) is found as: 1Project variance = 17.72 = 2.78 weeks. This project variance information is useful for assessing the probability of on-time project com-
pletion because PERT estimates make two more helpful assumptions: (1) Total project completion times use a normal probability distribution, and (2) the activity times are statistically independent. As a result, the normal bell curve shown in Figure 9.21 can be used to represent project completion dates. Normal distribution here implies that there is 50% likelihood that Project Delta’s completion time will be less than 30 weeks and a 50% chance that it will be greater than 30 weeks. With this information we are able to determine the probability that our project will be finished on or before a particular time.
Suppose, for example, that it is critical to our company that Project Delta finishes before 32 weeks. Although the schedule calls for a 30-week completion date, remember that our estimates are based on probabilities. Therefore, if we wanted to determine the probability that the project would finish no later than 32 weeks, we would need to determine the appropriate area under the normal curve from Figure 9.22 that corresponds to a completion date on or before week 32. We can use a stan- dard normal equation to determine this probability. The standard normal equation is represented as:
Z = (Due date - Expected date of complection)/sp = (32 - 30)/2.78, or 0.72
where Z is the number of standard deviations the target date (32 weeks) lies from the mean or expected date to completion (30 weeks). We can now use a normal distribution table (see Appendix A) to determine that a Z value of 0.72 indicates a probability of 0.7642. Thus, there is a 76.42% chance that Project Delta will finish on or before the critical date of 32 weeks. Visually, this calcula- tion would resemble the picture in Figure 9.22, showing the additional two weeks represented as part of the shaded normal curve to the left of the mean.
Remember from this example that the 32-week deadline is critical for the company to meet. How confident would we be in working on this project if the likelihood of meeting that deadline was only 76.42%? Odds are that the project team (and the organization) might find a 76% chance
30 Weeks
Project Standard Deviation = 2.78
Figure 9.21 Probability Distribution for Project Delta completion times
318 Chapter 9 • Project Scheduling
of success in meeting the deadline unacceptable, which naturally leads to the question: How much time will the project team need in order to guarantee delivery with a high degree of confidence?
The first question that needs to be answered is: What is the minimal acceptable likelihood percentage that an organization needs when making this decision? For example, there is a big dif- ference is requiring a 99% confidence of completion versus a 90% likelihood. Let’s suppose that the organization developing Project Delta requires a 95% likelihood of on-time delivery. Under this circumstance, how much additional time should the project require to ensure a 95% likelihood of on-time completion?
We are able to determine this value, again, with the aid of Z-score normal distribution tables. The tables indicate that for 95% probability, a Z-score of 1.65 most closely represents this likeli- hood. We can rewrite the previous standard normal equation and solve for the due date as follows:
Due Date = Expected date of completion + (Z * sp) = 30 weeks + (1.65) (2.78) = 34.59 weeks
If the project team can negotiate for an additional 4.59 weeks, they have a very strong (95%) likelihood of ensuring that Project Delta will be completed on time.
It is important to consider one final point regarding estimating probabilities of project completion. So far, we have only addressed activities on the critical path because, logically, they define the overall length of a project. However, there are some circumstances where it may also be necessary to consider noncritical activities and their effect on overall project dura- tion, especially if those activities have little individual slack time and a high variance. For example, in our Project Delta example, activity B has only 1 week of slack and there is suffi- cient variance of 1.00. In fact, the pessimistic time for activity B is 8 weeks, which would cause the project to miss its target deadline of 30 weeks, even though activity B is not on the critical path. For this reason, it may be necessary to calculate the individual task variances not only for critical activities, but for all project activities, especially those with higher variances. We can then calculate the likelihood of meeting our projected completion dates for all paths, both critical and noncritical.
laddering activities
The typical PERT/CPM network operates on the assumption that a preceding activity must be completely finished before the start of the successor task. In many circumstances, however, it may be possible to begin a portion of one activity while work continues on other elements of the task, particularly in lengthy or complex projects. Consider a software development project for a new order-entry system. One task in the overall project network could be to create the Visual Basic code composed of several subroutines to cover the systems of multiple departments. A standard PERT chart would diagram the network logic from coding through debugging as a straight- forward logical sequence in which system design precedes coding, which precedes debugging
0.72 Standard Deviations
Time
Probability (T ≤ 32 weeks is 76.42%)
30 Weeks
32 Weeks
Figure 9.22 Probability of completing Project Delta by Week 32
9.5 Constructing the Critical Path 319
(see Figure 9.23). Under severe time pressure to use our resources efficiently, however, we might want to find a method for streamlining, or making the development sequence more efficient.
laddering is a technique that allows us to redraw the activity network to more closely sequence project subtasks to make the overall network sequence more efficient. Figure 9.24 shows our software development path with laddering. Note that for simplicity’s sake, we have divided the steps of design, coding, and debugging into three subtasks. The number of ladders constructed is typically a function of the number of identified break points of logical substeps available. If we assume that the software design and coding project has three significant subroutines, we can create a laddering effect that allows the project team to first complete design phase 1, then move to design phase 2 while coding of design phase 1 has already started. As we move through the lad- dering process, by the time our designers are ready to initiate design phase 3 in the project, the cod- ers have started on the second subroutine and the debugging staff are ready to begin debugging subroutine 1. The overall effect of laddering activities is to streamline the linkage and sequencing between activities and keep our project resources fully employed.
hammock activities
hammock activities can be used as summaries for some subsets of the activities identified in the overall project network. If the firm needed an outside consultant to handle the cod- ing activities for a software upgrade to its inventory system, a hammock activity within the network can be used to summarize the tasks, duration, and cost. The hammock is so named because it hangs below the network path for consultant tasks and serves as an aggregation of task durations for the activities it “rolls up.” Duration for a hammock is found by first identify- ing all tasks to be included and then subtracting the ES of the first task from the EF of the latest successor. In Figure 9.25, we can see that the hammock’s total duration is 26 days, representing a combination of activities D, E, and F with their individual activity durations of 6, 14, and 6 days respectively.
Hammocks allow the project team to better disaggregate the overall project network into logical summaries. This process is particularly helpful when the project network is extremely complex or consists of a large number of individual activities. It is also useful when the project budget is actually shared among a number of cost centers or departments. Hammocking the activities that are assignable to each cost center makes the job of cost accounting for the project much easier.
A1 Design
A3 Design
B1 Coding
A2 Design
B2 Coding
C1 Debugging
B3 Coding
C2 Debugging
C3 Debugging
Figure 9.24 AoN Network with laddering effect
B Coding
A System Design
C Debugging
Figure 9.23 AoN Network for Programming Sequence Without laddering
320 Chapter 9 • Project Scheduling
options for reducing the critical Path
It is common, when constructing an activity network and discovering the expected duration of the project, to look for ways in which the project can be shortened. To do this, start with an open mind to critically evaluate how activity durations were estimated, how the network was originally constructed, and to recognize any assumptions that guided the creation of the network. Reducing the critical path may require several initiatives or steps, but they need to be internally consistent (e.g., their combined effects do not cancel each other out) and logically prioritized.
Table 9.6 shows some of the more common methods for reducing the critical path for a proj- ect. The options include not only those aimed at adjusting the overall project network, but also options that address the individual tasks in the network themselves. Among the alternatives for shrinking the critical path are:9
1. Eliminate tasks on the critical path. It may be the case that some of the tasks that are found on the critical path can be eliminated if they are not necessary or can be moved to noncritical paths with extra slack that will accommodate them.
2. Replan serial paths to be in parallel. In some circumstances, a project may be exces- sively loaded with serial activities that could just as easily be moved to parallel or concur- rent paths in the network. Group brainstorming can help determine alternative methods for pulling serial activities off the critical path and moving them to concurrent, noncriti- cal paths.
3. Overlap sequential tasks. Laddering is a good method for overlapping sequential activities. Rather than developing a long string of serial tasks, laddering identifies subpoints within the activities where project team members can begin to perform concurrent operations.
0 A 5 0 0 5 5
5 B 9 13 18 4 22
5 C 12 9 14 7 21
5 D 11 0 User needs 5 6 11
25 F 31 0 Debugging 25 6 31
11 E 25 0 Coding 11 14 25
12 G 21 10 22 9 31
5 A 31 Hammock
26
12 H 22 9 21 10 31
31 I 35 0
31 4 35
Figure 9.25 example of a Hammock Activity
taBle 9.6 Steps to reduce the critical Path
1. Eliminate tasks on the critical path. 2. Replan serial paths to be in parallel. 3. Overlap sequential tasks. 4. Shorten the duration of critical path tasks. 5. Shorten early tasks. 6. Shorten longest tasks. 7. Shorten easiest tasks. 8. Shorten tasks that cost the least to speed up.
9.5 Constructing the Critical Path 321
4. Shorten the duration of critical path tasks. This option must be explored carefully. The underly- ing issue here must be to first examine the assumptions that guided the original activity duration estimates for the project. Was beta distribution used reasonably? Were the duration estimates for tasks excessively padded by the project manager or team? Depending upon the answers to these questions, it may indeed be possible to shorten the duration of critical path activities. Sometimes, however, the options of simply shrinking duration estimates by some set amount (e.g., 10% off all duration estimates) all but guarantees that the project will come in behind schedule.
5. Shorten early tasks. Early tasks in a project are sometimes shortened before later tasks because usually they are more precise than later ones. There is greater uncertainty in a schedule for activities set to occur at some point in the future. Many project managers see that there is likely to be little risk in shortening early tasks, because any lags in the schedule can be made up downstream. Again, however, any time we purposely shorten project activities, we need to be aware of possible ripple effects through the network as these adjustments are felt later.
6. Shorten longest tasks. The argument for shortening long tasks has to do with relative shrinkage; it is less likely that shortening longer activities will lead to any schedule problems for the overall project network because longer duration tasks can more easily absorb cuts without having an impact on the overall project. For example, shortening a task with 5 days’ duration by 1 day represents a 20% cut in the duration estimate. On the other hand, shorten- ing a task of 20 days’ duration by 1 day results in only a 5% impact on that activity.
7. Shorten easiest tasks. The logic here is that the learning curve for a project activity can make it easier to adjust an activity’s duration downward. From a cost and budgeting per- spective, we saw in Chapter 8 that learning curve methodology does result in lower costs for project activities. Duration estimates for easiest tasks can be overly inflated and can reason- ably be lowered without having an adverse impact on the project team’s ability to accomplish the task in the shortened time span.
8. Shorten tasks that cost the least to speed up. “Speeding up” tasks in a project is another way of saying the activities are being crashed. We will cover the process of crashing project activities in more detail in Chapter 10. The option of crashing project activities is one that must be carefully considered against the time/cost trade-off so that the least expensive activities are speeded up.
This chapter has introduced the essential elements in beginning a project schedule, including the logic behind constructing a project network, calculating activity duration estimates, and convert- ing this information into a critical path diagram. These three activities form the core of project scheduling and give us the impetus to begin to consider some of the additional, advanced topics that are important if we are to become expert in the process of project scheduling. These topics will be covered in subsequent chapters.
Box 9.1
Project Management research in Brief
Software Development Delays and Solutions
One of the most common problems in IT project management involves the schedule delays found in software development projects. Time and cost overruns in excess of 100% on initial schedules are the industry aver- age. A study by Callahan and Moretton sought to examine how these delays could be reduced. Analyzing the results of 44 companies involved in software development projects, they found that the level of experience firms had with IT project management had a significant impact on the speed with which they brought new products to market. When companies had little experience, the most important action they could take to speed up development times was to interact with customer groups and their own sales organizations early and often throughout the development cycle. The more information they were able to collect on the needs of the customers, the faster they could develop their software products. Also, frequent testing and multiple design iterations were found to speed up the delivery time.
For firms with strong experience in developing software projects, the most important determinants of shorter development cycles were found to be developing relationships with external suppliers, particularly during the product requirements, system design, and beta testing phases of the project. Supplier involvement in all phases of the development cycle proved to be key to maintaining aggressive development schedules.10
322 Chapter 9 • Project Scheduling
Summary
1. Understand and apply key scheduling terminology. Key processes in project scheduling include how activity networks are constructed, task durations are estimated, the critical path and activity float are cal- culated, and lag relationships are built into activities.
2. Apply the logic used to create activity networks, including predecessor and successor tasks. The chapter discussed the manner in which network logic is employed. Following the creation of project tasks, through use of Work Breakdown Structures, it is necessary to apply logic to these tasks in order to identify those activities that are considered pre- decessors (coming earlier in the network) and those that are successors (coming later, or after the prede- cessor activities have been completed).
3. develop an activity network using Activity-on- node (Aon) techniques. The chapter examined the process for creating an AON network through identification of predecessor relationships among project activities. Once these relationships are known, it is possible to begin linking the activities together to create the project network. Activity-on-Node (AON) applies the logic of assigning all tasks as specific “nodes” in the network and linking them with arrows to identify the predecessor-successor relationships.
4. Perform activity duration estimation based on the use of probabilistic estimating techniques. Activity duration estimation is accomplished through first identifying the various tasks in a project and then applying a method for estimating the duration of each of these activities. Among the methods that can aid us in estimating activity durations are (1) noncom- putational techniques, for example, examining past records for similar tasks that were performed at other times in the organization and obtaining expert opin- ion; (2) deriving duration estimates through compu- tational, or mathematical, analysis; and (3) using the Program Evaluation and Review Technique (PERT), which uses probabilities to estimate a task’s duration. In applying PERT, the formula for employing a beta probability distribution is to first determine optimis- tic, most likely, and pessimistic estimates for the dura- tion of each activity and then assign them in a ratio of:
[(1 * optimistic) + (4 * most likely) + (1 * pessimistic)]/6
5. construct the critical path for a project sched- ule network using forward and backward passes. Conducting the forward pass allows us to determine the overall expected duration for the project by using the decision rules, adding early start plus activity duration to determine early fin- ish, and then applying this early finish value to the next node in the network, where it becomes that activity’s early start. We then use our decision rules
for the backward pass to identify all activities and paths with float and the project’s critical path (the project path with no float time).
6. identify activity float and the manner in which it is determined. Once the network linking all project activities has been constructed, it is possible to begin determining the estimated duration of each activity. Duration estimation is most often performed using probabilistic estimates based on Program Evaluation and Review Technique (PERT) processes, in which optimistic, most likely, and pessimistic duration esti- mates for each activity are collected. Using a standard formula based on the statistically derived beta dis- tribution, project activity durations for each task are determined and used to label the activity nodes in the network.
Using activity durations and the network, we can identify the individual paths through the network, their lengths, and the critical path. The project’s criti- cal path is defined as the activities of a project which, when linked, define its shortest total length. The criti- cal path identifies how quickly we can complete the project. All other paths contain activities that have, to some degree, float or slack time associated with them. The identification of the critical path and activ- ity float times is done through using a forward and backward pass process in which each activity’s early start (ES), early finish (EF), late start (LS), and late finish (LF) times are calculated.
7. calculate the probability of a project finishing on time under Pert estimates. Because PERT estimates are based on a range of estimated times (optimistic, most likely, pessimistic), there will be some variance associated with these values and expected task dura- tion. Determining the variance of all activities on the critical (and noncritical) paths allows us to more accu- rately forecast the probability of completing the project on or before the expected finish date. We can also use the standard normal equation (and associated Z score) to forecast the additional time needed to complete a project under different levels of overall confidence.
8. Understand the steps that can be employed to reduce the critical path. Project duration can be reduced through a number of different means. Among the options project managers have to shorten the project critical path are the following: (1) Eliminate tasks on the critical path, (2) replan serial paths to be in paral- lel, (3) overlap sequential tasks, (4) shorten the dura- tion of critical path tasks, (5) shorten early tasks, (6) shorten longest tasks, (7) shorten easiest tasks, and (8) shorten tasks that cost the least to speed up. The efficacy of applying one of these approaches over another will vary depending on a number of issues related both to the project constraints, client expecta- tions, and the project manager’s own organization.
Key Terms
Activity (also called task) (p. 299) Activity-on-Arrow (AOA) (p. 302) Activity-on-Node (AON) (p. 302) Arrow (p. 302) Backward pass (p. 301) Beta distribution (p. 308) Burst activity (p. 301) Concurrent activities (p. 304) Confidence interval (p. 310) Crashing (p. 302) Critical path (p. 301)
Critical Path Method (CPM) (p. 301) Duration estimation (p. 307) Early start (ES) date (p. 301) Event (p. 301) Float (also called slack) (p. 301) Forward pass (p. 301) Hammock activities (p. 319) Laddering activities (p. 319)
Late start (LS) date (p. 301) Linked activity (p. 299) Merge activity (p. 301) Network diagram (p. 299) Node (p. 301) Path (p. 301) Predecessors (p. 301) Program Evaluation and Review Technique (PERT) (p. 302) Project network diagram (PND) (p. 301) Project scheduling (p. 299)
Resource-limited schedule (p. 302) Scope (p. 301) Serial activities (p. 303) Slack (also called float) (p. 315) Successors (p. 301) Task (see activity) (p. 299) Variance (activity and project) (p. 309) Work Breakdown Structure (WBS) (p. 301) Work package (p. 301)
Solved Problems
9.1 creAtiNg AN ActiVitY NetWorK Assume the following information:
Activity Predecessors
A —
B A
C B
D B
E C, D
F C
G E, F
H D, G
Create an activity network that shows the sequential logic be- tween the project tasks. Can you identify merge activities? Burst activities?
SoluTion
This activity network can be solved as shown in Figure 9.26. The merge points in the network are activities E, G, and H. The burst activities are activities B, C, and D.
9.2 cAlcUlAtiNg ActiVitY DUrAtioNS AND VAriANceS
Assume that you have the following pessimistic, likely, and op- timistic estimates for how long activities are estimated to take. Using the beta distribution, estimate the activity durations and variances for each task.
Duration estimates
Activity Pessimistic likely optimistic
A 7 5 2
B 5 3 2
C 14 8 6
D 20 10 6
E 8 3 3
F 10 5 3
G 12 6 4
H 16 6 5
SoluTion
Remember that the beta distribution calculates expected activity duration (TE) as:
TE = (a + 4m + b)/6
Where TE = estimated time for activity
a = most optimistic time to complete the activity m = most likely time to complete the activity, the mode of the distribution b = most pessimistic time to complete the activity
The formula for activity variance is:
s2 = [(b - a)/6]2
A B
C
D
E
F
G
H
Figure 9.26 Solution to Solved Problem
Solved Problems 323
324 Chapter 9 • Project Scheduling
Therefore, in calculating expected activity duration (TE) and variance for each task we find the value as shown in the table below.
Duration estimates
Activity Pessimistic likely optimistic te (Beta) Variance
A 7 5 2 4.8 [(7 - 2)/6]2 = 25/36 = 0.69 B 5 3 2 3.2 [(5 - 2)/6]2 = 9/36 = 0.25 C 14 8 6 8.7 [(14 - 6)/6]2 = 64/36 = 1.78 D 20 10 6 11.0 [(20 - 6)/6]2 = 196/36 = 5.44 E 8 3 3 3.8 [(8 - 3)/6]2 = 25/36 = 0.69 F 10 5 3 5.5 [(10 - 3)/6]2 = 49/36 = 1.36 G 12 6 4 6.7 [(12 - 4)/6]2 = 64/36 = 1.78 H 16 6 5 7.5 [(16 – 5)/6]2 = 121/36 = 3.36
9.3 DeterMiNiNg criticAl PAtH AND ActiVitY SlAcK
Assume we have a set of activities, their expected durations, and immediate predecessors. Construct an activity network; identify the critical path and all activity slack times.
Activity Predecessors expected Duration
A — 6
B A 7
C A 5
D B 3
E C 4
F C 5
G D, E 8
H F, G 3
SoluTion
We follow an iterative process of creating the network and labeling the nodes as completely as possible. Then, following Figure 9.27, we first conduct a forward pass through the net- work to determine that the expected duration of the project is 27 days. Using a backward pass, we can determine the individ- ual activity slack times as well as the critical path. The critical path for this example is as follows: A – B – D – G – H. Activity slack times are:
C = 1 day E = 1 day F = 8 days
16 G 24
16 8 24
6 B 13
6 7 13
13 D 16
13 3 16
0 A 6
60 6
11 E 15
12 4 16
24 H 27
24 3 27
11 F 16
19 5 24
6 C 11
7 5 12
Figure 9.27 Solution to Solved Problem 9.3
Discussion Questions
9.1 Define the following terms: a. Path b. Activity c. Early start d. Early finish e. Late start f. Late finish g. Forward pass h. Backward pass i. Node j. AON k. Float or Slack l. Critical path m. PERT
9.2 Distinguish between serial activities and concurrent activ- ities. Why do we seek to use concurrent activities as a way to shorten the project’s length?
9.3 List three methods for deriving duration estimates for project activities. What are the strengths and weaknesses associated with each method?
9.4 In your opinion, what are the chief benefits and draw- backs of using beta distribution calculations (based on PERT techniques) to derive activity duration estimates?
9.5 “The shortest total length of a project is determined by the longest path through the network.” Explain the concept behind this statement. Why does the longest path deter- mine the shortest project length?
9.6 The float associated with each project task can only be de- rived following the completion of the forward and back- ward passes. Explain why this is true.
Problems
9.1 Consider a project, such as moving to a new neighborhood, completing a long-term school assignment, or even clean- ing your bedroom. Develop a set of activities necessary to accomplish that project and then order them in a precedence manner to create sequential logic. Explain and defend the number of steps you identified and the order in which you placed those steps for best completion of the project.
9.2 What is the time estimate of an activity in which the opti- mistic estimate is 2 days, pessimistic is 12 days, and most likely is 4 days? Show your work.
9.3 What is the time estimate of an activity in which the op- timistic time is 5 days, the likely time is 8 days, and the pessimistic time is 14 days? Show your work.
9.4 Using the following information, develop an activity net- work for Project Alpha.
Activity Preceding Activities
A —
B A
C A
D B, C
E B
F D
G C
H E, F, G
9.5 Construct a network activity diagram based on the follow- ing information:
Activity Preceding Activities
A —
B —
C A
D B, C
E B
F C, D
G E
H F
I G, H
Problems 325
326 Chapter 9 • Project Scheduling
9.6 Your university is holding a fund-raiser and will be hir- ing a band to entertain spectators. You have been selected to serve as the event project manager and have created a Work Breakdown Structure and duration estimates for the activities involved in site preparation for the event. Construct a network activity diagram based on the follow- ing information:
Activity Description Predecessors Duration
(Days)
A Site selection None 4
B Buy concessions A 4
C Rent facilities A 2
D Build stands A 5
E Generator & wiring installation C 2
F Security B 4
G Lighting installation E 2
H Sound system installation E, F 2
I Stage construction D 3
J Tear down G, H, I 4
a. Conduct both a forward and backward pass using AON notation. What is the estimated total duration for the project?
b. Identify all paths through the network. Which is the critical path?
c. Which activities have slack time? d. Identify all burst activities and merge activities.
9.7 Consider the following project tasks and their identi- fied best, likely, and worst-case estimates of task duration. Assume the organization you work for computes TE based on the standard beta distribution formula. Calculate the TE for each of the following tasks (round to the nearest integer):
Activity Best likely Worst te
A 5 5 20
B 3 5 9
C 7 21 26
D 4 4 4
E 10 20 44
F 3 15 15
G 6 9 11
H 32 44 75
I 12 17 31
J 2 8 10
9.8 Consider the following project tasks and their identi- fied best, likely, and worst-case estimates of task duration. Assume the organization you work for computes TE based on the standard beta distribution formula. Calculate the TE for each of the following tasks (round to the nearest integer):
Activity Best likely Worst te
A 4 5 10
B 4 6 9
C 2 5 8
D 5 8 10
E 12 16 20
F 6 10 12
G 5 9 14
H 14 16 22
I 10 14 20
J 1 2 5
9.9 Using the information from the following table, create an AON network activity diagram. a. Calculate each activity TE (rounding to the nearest
integer); the total duration of the project; its early start, early finish, late start, and late finish times; and the slack for each activity. Finally, show the project’s critical path.
b. Now, assume that activity E has taken 10 days past its anticipated duration to complete. What happens to the project’s schedule? Has the duration changed? Is there a new critical path? Show your conclusions.
Activity Preceding Activities Best likely Worst
A — 12 15 25
B A 4 6 11
C — 12 12 30
D B, C 8 15 20
E A 7 12 15
F E 9 9 42
G D, E 13 17 19
H F 5 10 15
I G 11 13 20
J G, H 2 3 6
K J, I 8 12 22
9.10 An advertising project manager has developed a program for a new advertising campaign. In addition, the manager has gathered the time information for each activity, as shown in the following table.
time estimates (week)
Activity optimistic Most likely Pessimistic
immediate Predecessor(s)
A 1 4 7 —
B 2 6 10 —
C 3 3 9 B
D 6 13 14 A
E 4 6 14 A, C
F 6 8 16 B
G 2 5 8 D, E, F
a. Calculate the expected activity times (round to nearest integer).
b. Calculate the activity slacks. What is the total proj- ect length? Make sure you fully label all nodes in the network.
c. Identify the critical path. What are the alternative paths and how much slack time is associated with each non- critical path?
d. Identify the burst activities and the merge activities. e. Given the activity variances, what is the likelihood of
the project finishing on week 24? f. Suppose you wanted to have a 99% confidence in the
project finishing on time. How many additional weeks would your project team need to negotiate for in order to gain this 99% likelihood?
9.11 Consider a project with the following information:
Activity Duration Predecessors
A 3 —
B 5 A
C 7 A
D 3 B, C
E 5 B
F 4 D
G 2 C
H 5 E, F, G
Activity Duration eS ef lS lf Slack
A 3 0 3 0 3 —
B 5 3 8 8 13 5
C 7 3 10 3 10 —
D 3 10 13 10 13 —
E 5 8 12 13 17 5
F 4 13 17 13 17 —
G 2 10 12 15 17 5
H 5 17 22 17 22 —
a. Construct the project activity network using AON methodology and label each node.
b. Identify the critical path and other paths through the network.
9.12 Use the following information to determine the probabil- ity of this project finishing within 34 weeks of its sched- uled completion date. Assume activities A – B – D – F – G are the project’s critical path.
Activity optimistic likely Pessimistic expected
time Variance
A 1 4 8
B 3 5 9
C 4 6 10
D 3 7 15
E 5 10 16
F 3 6 15
G 4 7 12
a. Calculate the expected durations for each activity. b. Calculate individual task variances and overall project
variance. c. The company must file a permit request with the local
government within a narrow time frame after the proj- ect is expected to be completed. What is the likelihood that the project will be finished by week 34?
d. If we wanted to be 99% confident of on-time delivery of the project, how much additional time would we need to add to the project’s expected delivery time?
internet Exercises
9.1 Go to www.gamedev.net/page/resources/_/business/ business-and-law/critical-path-analysis-and-scheduling- for-game-r1440 and click around the site. There are several articles on how to run your own computer game company. Click on articles related to project management and critical path scheduling for game design. Why is project schedul- ing so important for developing computer games?
9.2 Go to http://management.about.com/lr/project_time_man- agement/174690/1/ and consider several of the articles on time management in projects. What sense do you get that project scheduling is as much about personal time manage- ment as it is about effective scheduling? Cite some articles or information to support or disagree with this position.
9.3 Go to www.infogoal.com/pmc/pmcart.htm and examine some of the archived articles and white papers on project
planning and scheduling. Select one article and synthesize the main points. What are the messages the article is in- tending to convey?
9.4 Key in “project scheduling” for a search of the Web. Hundreds of thousands of hits are generated from such a search. Examine a cross section of the hits. What are some of the common themes found on these Web sites?
9.5 Key in a search with the prompt “projects in_____” in which you select a country of interest (e.g., “projects in Finland”). Many of the projects generated by such a search are government-sponsored initiatives. Discuss the role of proper scheduling and planning for one such project you find on the Internet. Share your findings and the reasons you believe planning was so critical to the project.
Internet Exercises 327
328 Chapter 9 • Project Scheduling
MS Project Exercises
Please note that a step-by-step primer on using MS Project 2013 to create project schedules is available in Appendix B. For those considering the following exercises, it would first be helpful to refer to Appendix B for tips on getting started.
Exercise 9.1
Consider the following information that you have compiled re- garding the steps needed to complete a project. You have identi- fied all relevant steps and have made some determinations re- garding predecessor/successor relationships. Using MS Project, develop a simple network diagram for this project, showing the links among the project activities.
Activity Predecessors
A – Survey site —
B – Install sewer and storm drainage A
C – Install gas and electric power lines A
D – Excavate site for spec house B, C
E – Pour foundation D
Exercise 9.2
Suppose we have a complete activity predecessor table (shown here) and we wish to create a network diagram highlighting the activity sequence for this project. Using MS Project, enter the activities and their predecessors and create a complete activity network diagram for this project.
Project—remodeling an aPPliance
Activity Predecessors
A Conduct competitive analysis —
B Review field sales reports —
C Conduct tech capabilities assessment
—
D Develop focus group data A, B, C
E Conduct telephone surveys D
F Identify relevant specification improvements E
G Interface with marketing staff F
H Develop engineering specifications G
I Check and debug designs H
J Develop testing protocol G
K Identify critical performance levels J
L Assess and modify product components I, K
M Conduct capabilities assessment L
N Identify selection criteria M
Activity Predecessors
O Develop RFQ M
P Develop production master schedule N, O
Q Liaise with sales staff P
R Prepare product launch Q
Exercise 9.3
Suppose that we add some duration estimates to each of the ac- tivities from exercise 9.1. A portion of the revised table is shown here. Recreate the network diagram for this project and note how MS Project uses nodes to identify activity durations, start and finish dates, and predecessors. What is the critical path for this network diagram? How do we know?
Activity Duration Predecessors
A – Survey site 5 days —
B – Install sewer and storm drainage 9 days A
C – Install gas and electric power lines 4 days A
D – Excavate site for spec house 2 days B, C
E – Pour foundation 2 days D
PMP certificAtion sAMPle QUestions
1. A building contractor is working on a vacation home and is looking over his schedule. He notices that the schedule calls for the foundation footers to be poured and then the rough floor decking to be installed. In this plan, the decking would be an example of what type of activity?
a. Successor task b. Predecessor task c. Lag activity d. Crashed activity
2. Your project team is working on a brand-new project with leading-edge technology. As a result, it is very difficult for your team to give reasonable accurate es- timates for how long their activities are going to take in order to be completed. Because of this uncertainty, it would be appropriate for you to require team members to use what kind of logic when estimating durations?
a. Normal distribution b. Beta distribution c. Deterministic estimates d. Experience
3. Suppose a project plan had three distinct paths through the network. The first path consisted of activities A (3 days), B (4 days), and C (2 days). The second path consisted of activities D (4 days), E (5 days), and F
(5 days). The third path consisted of activities G (2 days), H (3 days), and I (10 days). Which is the critical path?
a. ABC b. DEF c. GHI d. ADG
4. Activity slack (also known as float) can be calculated through which of the following means?
a. Early finish (EF) – late finish (LF) b. Early finish (EF) – early start (ES) c. Late finish (LF) – late start (LS) d. Late start (LS) – early start (ES)
5. Your project team is working from a network diagram. This type of tool will show the team:
a. Activity precedence b. Duration estimates for the activities and overall
schedule c. The dates activities are expected to begin
d. The network diagram will show none of the above
Answers: 1. a—The decking is a successor task, as it is scheduled to occur after completion of the footers; 2. b—The beta distribution would work best because it takes into consideration best-case, most like- ly, and worst-case estimates; 3. c—GHI has a path duration of 15 days; 4. d—One way to calculate float is LS – ES, and the other way is LF – EF; 5. a—The primary advantage of activity networks is precedence ordering of all project activities.
notes
1. Williams, S., Amiel, G., and Scheck, J. (2014, March 31). “After $50 billion and 20 years, energy giants can’t get oil flowing,” Wall Street Journal, pp. A1, A10; “Kashagan off- shore oil field project, Kazakhstan,” Offshore Technology. Com. www.offshore-technology.com/projects/kashagan/
2. Project Management Institute. (2013). Project Management Body of Knowledge, 4th ed. Newtown Square, PA: PMI.
3. There are a number of citations for the development of proj- ect networks. Among the more important are Callahan, J., and Moretton, B. (2001). “Reducing software product devel- opment time,” International Journal of Project Management, 19: 59–70; Elmaghraby, S. E., and Kamburowski, J. (1992). “The analysis of activity networks under generalized precedence relations,” Management Science, 38: 1245–63; Kidd, J. B. (1991). “Do today’s projects need powerful net- work planning tools?” International Journal of Production Research, 29: 1969–78; Malcolm, D. G., Roseboom, J. H., Clark, C. E., and Fazar, W. (1959). “Application of a tech- nique for research and development program evaluation,” Operations Research, 7: 646–70; Smith-Daniels, D. E., and Smith-Daniels, V. (1984). “Constrained resource project scheduling,” Journal of Operations Management, 4: 369–87; Badiru, A. B. (1993). “Activity-resource assignments using critical resource diagramming,” Project Management Journal, 24(3): 15–22; Gong, D., and Hugsted, R. (1993). “Time- uncertainty analysis in project networks with a new merge event time-estimation technique,” International Journal of Project Management, 11: 165–74.
4. The literature on PERT/CPM is voluminous. Among the citations readers may find helpful are the follow- ing: Gallagher, C. (1987). “A note on PERT assumptions,” Management Science, 33: 1350; Gong, D., and Rowlings, J. E. (1995). “Calculation of safe float use in risk-analysis- oriented network scheduling,” International Journal of Project Management, 13: 187–94; Hulett, D. (2000). “Project schedule risk analysis: Monte Carlo simulation or PERT?” PMNetwork, 14(2): 43–47; Kamburowski, J. (1997). “New validations of PERT times,” Omega: International Journal of Management Science, 25(3): 189–96; Keefer, D. L., and Verdini, W. A. (1993). “Better estimation of PERT activity time param- eters,” Management Science, 39: 1086–91; Mummolo, G. (1994). “PERT-path network technique: A new approach to project planning,” International Journal of Project Management,
12: 89–99; Mummolo, G. (1997). “Measuring uncertainty and criticality in network planning by PERT-path technique,” International Journal of Project Management, 15: 377–87; Moder, J. J., and Phillips, C. R. (1970). Project Management with CPM and PERT. New York: Van Nostrand Reinhold; Mongalo, M. A., and Lee, J. (1990). “A comparative study of methods for probabilistic project scheduling,” Computers in Industrial Engineering, 19: 505–9; Wiest, J. D., and Levy, F. K. (1977). A Management Guide to PERT/CPM, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall; Sasieni, M. W. (1986). “A note on PERT times,” Management Science, 32: 942–44; Williams, T. M. (1995). “What are PERT estimates?” Journal of the Operational Research Society, 46(12): 1498–1504; Chae, K. C., and Kim, S. (1990). “Estimating the mean and variance of PERT activity time using likelihood-ratio of the mode and the mid-point,” IIE Transactions, 3: 198–203.
5. Gray, C. F., and Larson, E. W. (2003). Project Management, 2nd ed. Burr Ridge, IL: McGraw-Hill.
6. Hill, J., Thomas, L. C., and Allen, D. C. (2000). “Experts’ estimates of task durations in software development proj- ects,” International Journal of Project Management, 18: 13–21; Campanis, N. A. (1997). “Delphi: Not a Greek oracle, but close,” PMNetwork, 11(2): 33–36; DeYoung-Currey, J. (1998). “Want better estimates? Let’s get to work,” PMNetwork, 12(12): 12–15; Lederer, A. L., and Prasad, J. (1995). “Causes of inaccurate software-development cost estimates,” Journal of Systems and Software, 31: 125–34; Libertore, M. J. (2002). “Project schedule uncertainty analysis using fuzzy logic,” Project Management Journal, 33(4): 15–22.
7. Meredith, J. R., and Mantel, Jr., S. J. (2003). Project Management, 5th ed. New York: Wiley.
8. Project Management Institute. (2000). Project Management Body of Knowledge. Newtown Square, PA: PMI.
9. DeMarco, T. (1982). Controlling Software Projects: Management, Measurement and Estimate. New York: Yourdon; Horner, R. M. W., and Talhouni, B. T. (n.d.). Effects of Accelerated Working, Delays and Disruptions on Labour Productivity. London: Chartered Institute of Building; Emsley, M. (2000). Planning and Resource Management—Module 3. Manchester, UK: UMIST.
10. Callahan, J., and Moretton, B. (2001). “Reducing software product development time,” International Journal of Project Management, 19: 59–70.
Notes 329
330
1 0 ■ ■ ■
Project Scheduling Lagging, Crashing, and Activity Networks
Chapter Outline Project Profile
Enlarging the Panama Canal introduction 10.1 lags in Precedence relationshiPs
Finish to Start Finish to Finish Start to Start Start to Finish
10.2 gantt charts Adding Resources to Gantt Charts Incorporating Lags in Gantt Charts
Project Managers in Practice Christopher Fultz, Rolls-Royce Plc.
10.3 crashing Projects Options for Accelerating Projects Crashing the Project: Budget Effects
10.4 activity-on-arrow networks How Are They Different? Dummy Activities
Forward and Backward Passes with AOA Networks AOA Versus AON
10.5 controversies in the use of networks Conclusions
Summary Key Terms Solved Problems Discussion Questions Problems Case Study 10.1 Project Scheduling at Blanque
Cheque Construction (A) Case Study 10.2 Project Scheduling at Blanque
Cheque Construction (B) MS Project Exercises PMP Certification Sample Questions Integrated Project—Developing the Project Schedule Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Apply lag relationships to project activities. 2. Construct and comprehend Gantt charts. 3. Recognize alternative means to accelerate projects, including their benefits and drawbacks. 4. Understand the trade-offs required in the decision to crash project activities. 5. Develop activity networks using Activity-on-Arrow techniques. 6. Understand the differences in AON and AOA and recognize the advantages and disadvantages
of each technique.
Project Profile 331
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Plan Schedule Management (PMBoK sec. 6.1) 2. Define Activities (PMBoK sec. 6.2) 3. Sequence Activities (PMBoK sec. 6.3) 4. Precedence Diagramming Method (PMBoK sec. 6.3.2.1) 5. Leads and Lags (PMBoK sec. 6.3.2.3) 6. Estimate Activity Resources (PMBoK sec. 6.4) 7. Estimate Activity Durations (PMBoK sec. 6.5) 8. Develop Schedule (PMBoK sec. 6.6) 9. Schedule Compression (PMBoK sec. 6.6.2.7)
10. Control Schedule (PMBoK sec. 6.7)
Project Profile
enlarging the Panama canal
The Panama Canal has long been a marvel of civil engineering, opening originally in 1914 and now in continuous opera- tion for 100 years. Some 40 ships a day make the 50-mile journey between the Atlantic and Pacific oceans, taking up to 10 hours and costing each ship roughly between $200,000 and $400,000. It is estimated that more than 13,000 ships annually transit oceans through the canals, providing the country of Panama with critical revenue that has been used to modernize the country and improve the standard of living for its citizens. At the same time, it has become clear, since the start of the new millennium, that the canal is in need of modernization for several reasons:
1. The construction of newer and larger cargo and container ships (so-called “post-Panamax” vessels) has put a strain on the number of ships that the canal can accommodate on any given day, lengthening the transit times, while ships can wait up to one week during heavy traffic periods for their turn through the locks.
2. Shipping firms, such as Maersk, have contracted with Asian firms to produce a new generation of massive container ships that are cost effective to operate, but too large to use the current canal locks, which are 110 feet wide. These shipping firms want to capitalize on the increased trade between China and the United States with these new, larger container ships.
3. The increasing competition from the Suez Canal and the U.S. Intermodal system. As noted above, based on current volume of trade, it has been estimated that as of 2011, approximately 37 percent of the capacity of the world’s container ship fleet consists of vessels that do not fit through the current canal, and a great part of this fleet could be used on routes that compete with Panama. In fact, Maersk recently announced that it would no longer use the Panama Canal and shift its business to the Suez, due to its larger size.
4. The canal itself is old and in need of refurbishment and reconditioning. The wear and tear on the canal over the years has led to the need for extended downtime to fix problems.
5. From an environmental perspective, the canal needs upgrading. Every time the current lock system opens and closes its gates, more than 50,000 gallons of fresh water from Gatun Lake (the country’s primary source of drinking water) are lost into the oceans. Further, the canal poses environmental and biohazards for indigenous Indian communities living along the canal and Gatun Lake.
In a speech announcing the need to revitalize the canal, former Panamanian president Martin Torrijos said that the canal, “is like our ‘petroleum.’ Just like the petroleum that has not been extracted is worthless and that in order to ex- tract it you have to invest in infrastructure, the canal requires to expand its capacity to absorb the growing demand of cargo and generate more wealth for Panamanians.”
In order to meet these needs, Panama created the Canal Expansion Project in early 2007. With a budget of $5.3 billion (including $2.3 billion in external funding), the canal expansion plan will:
• Build two new locks, one each on the Atlantic and Pacific sides. Each will have three chambers with water-saving basins.
• Excavate new channels to the new locks. • Widen and deepen existing channels. • Raise the maximum operating level of Lake Gatun.
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332 Chapter 10 • Project Scheduling
Some of the important features of the project include work on:
locks—The canal today has two lanes, each with its own set of locks. The expansion project will add a third lane through the construction of lock complexes at each end of the canal. The new lock chambers will be 1,400 feet long, 180 feet wide, and 60 feet deep, easily accommodating the larger-sized “post-Panamax” vessels in operation. One lock complex will be located on the Pacific side, southwest of the existing Miraflores Locks. The other will be located east of the existing Gatun Locks. Each of these new lock complexes will have three consecutive chambers designed to move vessels from sea level to the level of Gatun Lake and back down again.
Water-saving Basins—The new locks have water-saving basins to reduce the volume of water that is needed in lock operations. The operation of both the old and new locks uses gravity and valves with no pumping involved. The locks, old and new, will use water from Gatun Lake. Even in the current situation with two lock lanes, water supply can be limited at the end of Panama’s dry season, when the lake’s water level is low. The addition of a third set of locks means that this water supply issue must be addressed by environmentally sanctioned water systems that are expected to save thousands of gallons of water with each ship passing through the Canal.
Because of the size and scope of the project, it represents significant challenges for both Panama and the inter- national companies hired to complete it. The project is being run by a Spanish-led consortium of European construc- tion firms, in partnership with the Panama Canal Authority. While the actual construction work has been proceeding steadily, it has not gone smoothly. In fact, the project has realized significant cost overruns. As of 2014, the project was running about $1.6 billion over budget, raising the project’s initial budget from $5.3 billion to nearly $7 billion. The construction consortium filed claim to recover the extra costs, arguing the overruns were the result of poor project controls within the country, while the Panamanian officials countered that the higher costs amounted to blackmail. Ultimately, the series of claims and disputes between the Canal Authority and the construction firms resulted in U.S. courtroom arbitration hearings to determine the party responsible for several overruns. For example, in 2014, a $180 million claim by the consortium working on the expansion project became the first of several disputed construction costs that could end up in the hands of Miami arbitrators. Additional claims totalling nearly $1.4 billion are pending, as a combination of work stoppages and poor quality construction have led to significant concrete rework and serious cost overruns. At one point in early 2014, the disputes became so severe that work was temporarily halted on the project for nearly one month, endangering nearly 10,000 jobs.
All this has complicated the development of the project and has begun to make some other parties, with a strong interest in the project, nervous. Many U.S. ports have gambled on the Panama venture by investing billions in their own expansions in order to profit from the increased Post-Panamax traffic. Miami’s expanded port, for example, just opened a new, billion-dollar tunnel—part of a $2 billion makeover that includes a major dredging project and skyscraper- size loading cranes for sending more auto parts to Brazil and getting more commercial goods from China. In Boston, the canal expansion, combined with a plan to dredge Boston Harbor to accommodate larger ships, could generate
Figure 10.1 Scene from the Panama canal expansion Project Rafael Ibarra/Reuters/Corbis
10.1 Lags in Precedence Relationships 333
introduction
The previous chapter introduced the challenge of project scheduling, its important terminology, network logic, activity duration estimation, and constructing the critical path. In this chapter, we apply these concepts in order to explore other scheduling techniques, including the use of lag relationships among project activities, Gantt charts, crashing project activities, and comparing the use of Activity-on-Arrow (AOA) versus Activity-on-Node (AON) processes to construct networks. In the previous chapter, we used the analogy of a jigsaw puzzle, in which the act of constructing a schedule required a series of steps all building toward the conclusion. With the basics covered, we are now ready to consider some of the additional important elements in project scheduling, all aimed at the construction of a meaningful project plan.
10.1 Lags in Precedence reLationshiPs
The term lag refers to the logical relationship between the start and finish of one activity and the start and finish of another. In practice, lags are sometimes incorporated into networks to allow for greater flexibility in network construction. Suppose we wished to expedite a schedule and deter- mined that it was not necessary for a preceding task to be completely finished before starting its successor. We determine that once the first activity has been initiated, a two-day lag is all that is necessary before starting the next activity. Lags demonstrate this relationship between the tasks in question. They commonly occur under four logical relationships between tasks:
1. Finish to Start 2. Finish to Finish 3. Start to Start 4. Start to Finish
Finish to start
The most common type of logical sequencing between tasks is referred to as the Finish to Start relationship. Suppose three tasks are linked in a serial path, similar to that shown in Figure 10.2. Activity C cannot begin until the project receives a delivery from an external supplier that is sched- uled to occur four days after the completion of activity B. Figure 10.2 visually represents this Finish to Start lag of 4 days between the completion of activity B and the start of activity C.
Note in Figure 10.2 that the early start (ES) date for activity C has now been delayed for the 4 days of the lag. A Finish to Start lag delay is usually shown on the line joining the nodes; it should
thousands of new jobs and more than $4 billion in new business at Conley Terminal, according to the Massachusetts Port Authority. Carlos Urriola, executive vice president of the Manzanillo International Terminal, a major port at the Panama Canal’s Caribbean entrance, notes: “We’re all too aware that ports like Miami are definitely waiting to see when we’re going to be ready with our canal.”
It is expected that arbitration rulings will cut through the tangle of disputes among the various parties and the canal expansion will be ready by early 2016. Nevertheless, the construction firms are currently investigating ways to accelerate the completion of the process, so the country can gain maximum benefit from the expansion. Given the higher costs associated with accelerating the final activities, it is uncertain if this step will be taken, but it illustrates just how important the timely completion of the project is for both Panama and its construction contractors. Improving the economy, increasing traffic, and supporting a greener environment are all related and mutually reinforcing goals of the Panama Canal Expansion Project.1
Lag 4 0 A 6
Spec design
6
6 B 11
Design check
5
15 C 22
Blueprinting
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Figure 10.2 Network incorporating finish to Start lag of 4 Days
334 Chapter 10 • Project Scheduling
be added in forward pass calculations and subtracted in backward pass calculations. Finish to Start lags are not the same as additional activity slack and should not be handled in the same way.
Finish to Finish
Finish to Finish relationships require that two linked activities share a similar completion point. The link between activities R and T in Figure 10.3 shows this relationship. Although activity R begins before activity T, they share the same completion date.
In some situations, it may be appropriate for two or more activities to conclude at the same time. If, for example, a contractor building an office complex cannot begin interior wall construc- tion until all wiring, plumbing, and heating, ventilation, and air conditioning (HVAC) have been installed, she may include a lag to ensure that the completion of the preceding activities all occur at the same time. Figure 10.4 demonstrates an example of a Finish to Finish lag, in which the preced- ing activities R, S, and T are completed to enable activity U to commence immediately afterward. The lag of 3 days between activities R and T enables the tasks to complete at the same point.
start to start
Often two or more activities can start simultaneously or a lag takes place between the start of one activity after an earlier activity has commenced. A company may wish to begin materials pro- curement while drawings are still being finalized. It has been argued that the Start to Start lag relationship is redundant to a normal activity network in which parallel or concurrent activities are specified as business as usual. In Figure 9.20, we saw that Activity C is a burst point in a net- work and its successor activities (tasks D and G) are, in effect, operating with Start to Start logic. The subtle difference between this example and a Start to Start specification is that in Figure 9.20 it is not necessary for both activities to begin simultaneously; in a Start to Start relationship the logic must be maintained by both the forward and backward pass through the network and can, there- fore, alter the amount of float available to activity G.
Start to Start lags are becoming increasingly used as a means to accelerate projects (we will discuss this in greater detail later in the chapter) through a process known as fast-tracking. Instead of relying on the more common Finish to Start relationships between activities, organizations are attempting to compress their schedules through adopting parallel task scheduling of the sort that is typified by Start to Start. For example, it may be possible to overlap activities in a variety of
36 U 42
Interior construction
6
31 S 33
Plumbing
2
33 T 36
HVAC
3
30 R 36
Wiring
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Figure 10.3 finish to finish Network relationship
39 U 45
Interior construction
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Plumbing
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HVAC
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Figure 10.4 finish to finish relationship with lag incorporated
10.2 Gantt Charts 335
different settings. Proofreading a book manuscript need not wait until the entire document is com- pleted; a copy editor can begin working on chapter one while the author is still writing the drafts. Further, in software development projects, it is common to begin coding various sequences while the overall design of the software’s functions is still being laid out. It is not always possible to reconfigure predecessor/successor relationships into a Start to Start schedule, but where it is pos- sible to do so, the result is to create a more fast-paced and compressed schedule.
Figure 10.5 demonstrates an example of a Start to Start network, in which the lag of 3 days has been incorporated into the network logic for the relationship between activities R, S, and T.
start to Finish
Perhaps the least common type of lag relationship occurs when a successor’s finish is dependent upon a predecessor’s start (Start to Finish). An example of such a situation is construction in an area with poor groundwater drainage. Figure 10.6 shows this relationship. The completion of the concrete pouring activity, Y, is dependent upon the start of site water drainage, W. Although an uncommon occurrence, the Start to Finish option cannot be automatically rejected. As with the other types of predecessor/successor relationships, we must examine our network logic to ascer- tain the most appropriate manner for linking networked activities with each other.
10.2 gantt charts
Developed by Harvey Gantt in 1917, Gantt charts are another extremely useful tool for creating a project network. gantt charts establish a time-phased network, which links project activities to a project schedule baseline. They can also be used as a project tracking tool to assess the difference
23 Z 29
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20 W 26
6
Figure 10.6 Start to finish Network relationship
2
36 U 42
Interior construction
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33 T 36
HVAC
3
3 days
31 S 33
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30 R 36
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Figure 10.5 Start to Start Network relationship
336 Chapter 10 • Project Scheduling
between planned and actual performance. A sample of a basic Gantt chart is shown in Figure 10.7. Activities are ordered from first to last along a column on the left side of the chart with their ES and EF durations drawn horizontally. The ES and EF dates correspond to the baseline calendar drawn at the top of the figure. Gantt charts represent one of the first attempts to develop a network dia- gram that specifically orders project activities by baseline calendar dates, allowing the project team to be able to focus on project status at any date during the project’s development.
Some benefits of Gantt charts are (1) they are very easy to read and comprehend, (2) they identify the project network coupled with its schedule baseline, (3) they allow for updating and project control, (4) they are useful for identifying resource needs and assigning resources to tasks, and (5) they are easy to create.
1. Comprehension—Gantt charts work as a precedence diagram for the overall project by linking together all activities. The Gantt chart is laid out along a horizontal time line so that viewers can quickly identify the current date and see what activities should have been completed, which should be in progress, and which are scheduled for the future. Further, because these activities are linking in the network, it is possible to identify predecessor and successor activities.
2. Schedule baseline network—The Gantt chart is linked to real-time information, so that all project activities have more than just ES, EF, LS, LF, and float attached to them. They also have the dates when they are expected to be started and completed, just as they can be laid out in conjunction with the overall project schedule.
3. Updating and control—Gantt charts allow project teams to readily access project information activity by activity. Suppose, for example, that a project activity is late by 4 days. It is possible on a Gantt chart to update the overall network by factoring in the new time and seeing a revised project status. Many firms use Gantt charts to continually update the status of ongoing activities. Gantt charts allow managers to assess current activity status, making it possible to begin plan- ning for remedial steps in cases where an activity’s completion is lagging behind expectations.
4. Identifying resource needs—Laying the whole project out on a schedule baseline permits the project team to begin scheduling resources well before they are needed, and resource plan- ning becomes easier.
5. Easy to create—Gantt charts, because they are intuitive, are among the easiest scheduling devices for project teams to develop. The key is having a clear understanding of the length of activities (their duration), the overall precedence network, the date the project is expected to begin, and any other information needed to construct the schedule baseline, such as whether overtime will be needed.
Figure 10.8 uses the information contained in the Project Delta example from the previous chapter to construct a Gantt chart using MS Project 2013 (see Figure 9.11). The start and finish dates and length are ascribed to each activity and represented by the horizontal bar drawn from left to right through the network. The chart lists the early activities in order from top to bottom. The overall “flow” of the chart moves from the top left corner down to the bottom right. The baseline schedule
Figure 10.7 Sample Gantt chart using Microsoft Project 2013
Note: Weekend days are not counted for activity duration times.
Source: MS Project 2013, Microsoft Corporation.
10.2 Gantt Charts 337
is shown horizontally across the top of the page. Each activity is linked to indicate precedence logic through the network. All activities are entered based on their early start (ES) times. We can adjust the network to change the logic underlying the sequencing of the tasks. For example, the activities can be adjusted based on the late start (LS) date or some other convention.
As we continue to fill out the Gantt chart with the complete Project Delta (see Figure 10.8), it is possible to determine additional information from the network. First, activity slack is repre- sented by the long arrows that link activities to their successors. For example, activity E, with its 60 days (12 weeks) of slack or float, is represented by the solid bar showing the activity’s duration and the lengthy arrow that connects the activity to the next task in the network sequence (activity H). Finally, a number of software-generated Gantt charts will also automatically calculate the criti- cal path, identifying the critical activities as the chart is constructed. Figure 10.9 shows the critical path as it is highlighted on the schedule baseline.
adding resources to gantt charts
Adding resources to the Gantt chart is very straightforward, consisting of supplying the name or names of the resources that are assigned to perform the various activities. Figure 10.10 gives an MS Project output showing the inclusion of a set of project team resources assigned to the various tasks. It is also possible to assign the percentage of time each resource is assigned to each activity. This feature is important because, as we will see in later chapters, it forms the basis for tracking and control of the project, particularly in terms of cost control.
Figure 10.10 shows six project team members assigned across the six tasks of another project example. Remember that the Gantt chart is based on activity durations calculated with full com- mitment of resources. Suppose, however, that we were only able to assign resources to the tasks at a lesser figure (say 50%) because we do not have sufficient resources available when they are needed. The result will be to increase the length of time necessary to complete the project activities. The challenge of resource management as it applies to network scheduling is important and will be covered in detail in Chapter 12.
Figure 10.8 completed Gantt chart for Project Delta
Source: MS Project 2013, Microsoft Corporation.
Figure 10.9 Gantt chart for Project Delta with critical Path Highlighted
Source: MS Project 2013, Microsoft Corporation.
338 Chapter 10 • Project Scheduling
incorporating Lags in gantt charts
Gantt charts can be adjusted when it is necessary to show lags, creating a visual image of the proj- ect schedule. Figure 10.11 is a Gantt chart with some alternative lag relationships specified. In this network, activities C (specification check) and D (parts order) are linked with a Finish to Finish relationship that has both ending on the same date. Activity E is a successor to activity D, and the final two activities, E and F, are linked with a Start to Start relationship. Similar to lag relationships in network construction, the key lies in developing a reasonable logic for the relationship between tasks. Once the various types of lags are included, the actual process of identifying the network’s critical path and other pertinent information should be straightforward.
Figure 10.10 Gantt chart with resources Specified
Source: MS Project 2013, Microsoft Corporation.
Figure 10.11 Gantt chart with lag relationships
Source: MS Project 2013, Microsoft Corporation.
Box 10.1
Project Managers in Practice
Christopher Fultz, Rolls-Royce Plc.
“A project manager is like the conductor of the orchestra. The conductor doesn’t play an instrument, but understands how to balance the output of everyone to deliver the finished product. The conductor has to pay attention to all of the musicians and cannot focus too long on just one section. The PM is the same way, balancing the needs of multiple stakeholders and the team members to deliver the desired outcome. The project manager may not do the actual work, but makes sure all work is being completed to the schedule and is meeting the project requirements. The PM cannot focus on one specific area for long, or the rest of the project can quickly become out of control.”
Christopher Fultz holds a Master’s Degree in Program Management from Penn State, an MBA from Indiana University, and an undergraduate degree from the School of Technology at Purdue University. He lives and works in Indianapolis, Indiana, at Rolls-Royce and is part of the Defense Business. His first formal project man- agement role was leading a small engine modification program to support a new engine application for Bell Helicopter. Since that first assignment, he has led several engine development and certification teams, putting
10.2 Gantt Charts 339
(continued )
into practice the art and science of project management to balance cost, schedule, technical compliance, and stakeholder expectations.
“One of the most important lessons learned is that there are always competing requirements within the project and with other projects around the company. There is never enough time, resource, money or schedule to do everything that may be wanted, so it is critical to determine what the true requirements are and then work to deliver to those.” Recently, Chris led the RR300 engine project, which is a derivative of the Rolls-Royce M250 engine. The RR300 was developed for Robinson Helicopter for its new R66 helicopter. Since being certi- fied in 2008, Rolls-Royce has produced several hundred RR300 engines to support the R66 fleet. “This was the first turbine engine installation for Robinson Helicopter, so early in the project we worked closely with them to understand their needs and requirements to be sure we would deliver an engine that would meet their customer demands. It was very important to document and clarify requirements and expectations, because their previous experience was all with piston engines, and there were differences of perspective and assump- tions based on these different experiences. Discussing, understanding, and documenting the requirements and then creating a plan to deliver to them led to a very successful engine certification, integration, and flight test program. The RR300 project had challenges of a tight schedule and specific engine performance requirements, coupled with a product cost challenge and the need to develop a new supply chain to support the production program.”
From previous projects, Chris had learned the value of creating strong, focused project teams and main- taining communications within the team. “For the RR300, the team had a single, shared vision and deliverable. We continually reviewed our progress against that single deliverable and agreed that the team would either win or lose as a team. We had to work closely together to meet all of the competing requirements, and active communication was key to this. The team was co-located, so a combination of scheduled, formal communica- tion meetings was well balanced with the ability to easily walk to someone’s desk to discuss the project and actions.”
Chris now leads the Program Management Office (PMO) for Rolls-Royce Defense in Indianapolis, a role that has evolved over the past 3–4 years. In this role, he is responsible for the EVMS (Earned Value Management System) Center of Excellence, resource balancing, rules and tools, and professional skill development of the program and project management team. He works closely with his counterpart at Rolls-Royce in the UK to be sure needs across the global Defense business are met and the approach is consistent across the different business locations.
“Talented people are the key to successful projects and programs. We are currently working to un- derstand the most important aspects and skills required of project managers to support our current business activity. We are putting together a matrix of these needs and comparing them to our current knowledge, experience, and skill level to identify the specific areas to focus improvement activity. This may include pro- fessional certification, targeted course work, degree programs such as the Penn State Master’s in Program Management, or short and longer term development assignments for people to gain specific experiences. In 2013, we began a Program Management Professional Excellence program in Defense in the United States. We hold specific recruiting events for this program, and bring in two new college grads each year. The employees in this program will have four 6-month assignments in different business units and locations, giving them a
Figure 10.12 christopher fultz, rolls-royce Plc.
Source: Jeffrey Pinto/ Pearson Education, Inc
340 Chapter 10 • Project Scheduling
10.3 crashing Projects
At times it is necessary to expedite the project, accelerating development to reach an earlier com- pletion date. The process of accelerating a project is referred to as crashing. Crashing a project directly relates to resource commitment. The more resources we are willing to expend, the faster we can push the project to its finish. There can be good reasons to crash a project, including:2
1. The initial schedule may be too aggressive. Under this circumstance, we may schedule the project with a series of activity durations so condensed they make the crashing process inevitable.
2. Market needs change and the project is in demand earlier than anticipated. Suppose, for example, your company discovered that the secret project you were working on was also being developed by a rival firm. Because market share and strategic benefits will come to the first firm to introduce the product, you have a huge incentive to do whatever is necessary to ensure that you are first to market.
3. The project has slipped considerably behind schedule. You may determine that the only way to regain the original milestones is to crash all remaining activities.
4. The contractual situation provides even more incentive to avoid schedule slippage. The com- pany may realize that it will be responsible for paying more in late delivery penalties than the cost of crashing the activities.
options for accelerating Projects
A number of methods are available for accelerating or crashing projects. One key determinant of which method to use is how “resource-constrained” the project is; that is, whether there is additional budget or extra resources available to devote to the project. The issue of whether the project manager (and organization) is willing to devote additional resources to the project is a primary concern that will weigh in their choices. Depending on the level of resource constraint, certain options will be more attractive than others. Among the primary methods for accelerating a project are the following:
1. Improve the productivity of existing project resources—Improving the productivity of existing project resources means finding efficient ways to do more work with the currently available pool of personnel and other material resources. Some ways to achieve these goals include improving the planning and organization of the project, eliminating any barriers
broad exposure to the business and to project management. During the two-year program, they will work in different business units and locations on projects and programs in all phases of the product life cycle. At the end of their rotation, they will move into their first significant project management role with a solid back- ground and good experience in project management.“
Chris has accountability for developing and maintaining the Portfolio Management Process for Defense and works as part of a larger team to define and implement this process. “The focus of the process is to bal- ance discretionary investment in projects to support program growth, customer satisfaction, and cost man- agement. This portfolio balancing is an ongoing, continuous process as projects open and close and business and customer needs change.”
Outside of work, Chris is a mentor in the FIRST Robotics program, a high school program that is fo- cused on getting students interested in careers in science and engineering. One of the key elements of the program is to design and build a robot to play a specific new game challenge each year. These are big, remote- controlled machines, 24” * 36” * 60” tall, weighing 120 pounds. The program is “hands-on” and mentor based, where students and professionals work side by side. Chris believes it is a great project management experience for the students as well as an excellent development activity for mentors. “While there is much more to the program than just the robot, the project of building the robot provides all elements of the product life-cycle in a compressed, 6-week period. The game challenge provides several requirements and options of what to build and how to play. Teams must find the right balance of what they will design and build based on their skills, resources, budget, and schedule. The schedule is tight and there is no option to negotiate more time. Teams then move on to competition, where they see their robot in action and can evaluate their design, strategy, and final product against the ‘competition.’ Teams go from requirements to concepts to finished product to in-service in a span of a few months, providing immediate, and sometimes harsh, feedback on their work. Even though these are high school students, this is a great training ground for project managers.”
10.3 Crashing Projects 341
to productivity such as excessive bureaucratic interference or physical constraints, and improving the motivation and productivity of project team members. Efforts should always be made to find ways to improve the productivity of project resources; however, these efforts are almost always better achieved during the down time between projects rather than in the midst of one.
2. Change the working method employed for the activity, usually by altering the technol- ogy and types of resources employed—Another option for accelerating project activities is to promote methods intended to change the working method employed for the activ- ity, usually by altering the technology and types of resources employed. For example, many firms have switched to computer-based project scheduling techniques and saved considerable time in the process. Changing working methods can also include assignment of senior personnel, or hiring contract personnel or subcontractors to perform specific project functions.
3. Compromise quality and/or reduce project scope—These two options refer to conscious deci- sions made within the organization to sacrifice some of the original project specifications due to schedule pressure or a need to speed a project to completion. Compromising quality may involve a relatively simple decision to accept the use of cheaper materials or fewer oversight steps as the project moves forward. Rarely are decisions to lower quality beneficial for the project; in fact, the decision usually involves a sense of trying to limit or control the dam- age that could potentially occur. In some cases, it is impossible to even consider this as an option; construction firms hold safety (and hence, quality) as one of their highest concerns and would not consider deliberate steps to reduce quality.
Reducing project scope, on the other hand, is a much more common response to criti- cal pressure on the organization to deliver a project, particularly if it has been experienc- ing delays or if the benefits of being first to market seriously overshadow concerns about reduced scope. For example, suppose a television manufacturer in South Korea (Samsung) is working to devise a new product that offers 3D viewing, state-of-the-art sound quality, Internet connectivity, and a host of other features. While in the midst of development, the company becomes aware that a direct competitor is due to release its new television with a more modest set of features in time for the Christmas shopping season. Samsung might be tempted to limit work on their model to the advances that currently have been completed, scale back on other upgrades for a later model, and deliver their television with this reduced scope in order to maintain their market share.
The decision to limit project scope is not one to be taken lightly, but in many cases, it may be possible to do so with limited negative impact on the company, provided the firm can prioritize and distinguish between the “must-have” features of the project and other add-on functions that may not be critical to the project’s mission. Numerous projects have been successfully introduced with reduced scope because the organization approached these reductions in a systematic way, revisiting the work breakdown structure and project schedule and making necessary modifications. Approaching scope reduction in a proactive manner can have the effect of reducing scope while minimizing the negative effects on the final delivered project.
4. Fast-track the project—Fast-tracking a project refers to looking for ways to rearrange the project schedule in order to move more of the critical path activities from sequential to par- allel (concurrent) relationships. In some cases, the opportunities to fast-track a project only require creativity from the project team. For example, in a simple construction project, it may be possible to begin pouring the concrete foundation while the final interior design work or more detailed drawings are still being completed. That is, the design of cabinetry or the place- ment or doors and windows in the house will not be affected by the decision to start work on the foundation, and the net effect will be to shorten the project’s duration. In Chapter 9, we discussed options to reduce the critical path. Fast-tracking can employ some of those meth- ods as well as other approaches, including:
a. Shorten the longest critical activities—Identify those critical activities with the longest durations and reduce them by some percentage. Shortening longer activities typically offers the most opportunity to affect the length of the overall project without incurring severe additional risks.
342 Chapter 10 • Project Scheduling
b. Partially overlap activities—Start the successor task before its predecessor is fully com- pleted. We can use “negative lags” between activities to reschedule our critical activities and allow for one task to overlap another. For example, suppose we had two activities in sequence: (1) program function code, and (2) debug code. In many cases, it is possible to begin debugging code before the programmer has fully completed the assignment. We might indicate, for example, that the debugging activity has a negative lag of two weeks to allow the debugger to begin her task two weeks before the programming activity is scheduled to finish.
c. Employ Start to Start lag relationships—Standard predecessor/successor task relation- ships are characterized by Finish to Start relationships, suggesting that the successor cannot begin until its predecessor is fully completed. In Start to Start relationships, the as- sumption is that both activities can be undertaken at the same time; for example, instead of waiting for a city to issue a building permit approval, a local contractor may begin clearing the site for new construction or contacting other city departments to begin road and sewer applications. Not every set of activities can be redefined from a Finish to Start to a Start to Start lag relationship, but often there are places within the project schedule where it is possible to employ this fast-tracking technique.
5. Use overtime—A common response to the decision to accelerate a project is to make team members work longer hours through scheduling overtime. On one level, the decision is an attractive one: If our workers are currently devoting 40 hours a week to the project, by adding another 10 hours of overtime, we have increased productivity by 20%. Further, for salaried employees, we can institute overtime regulations without the additional costs that would accrue from using hourly workers. Thus, the use of overtime appears on the surface to be an option with much to recommend it.
The decision to use overtime, however, comes with some important drawbacks that should be considered. The first is cost: For hourly workers, overtime rates can quickly become prohibitively expensive. The result is to seriously affect the project budget in order to gain time (part of what are referred to as “dollar-day” trade-offs). Another problem with overtime is possible effects on project team member productivity. Work by Ken Cooper offers some important points for project managers to consider when tempted to accelerate their projects through the use of overtime. Figure 10.13 shows the results of his research examin- ing the effects of sustained overtime on project team members for two classes of employee: engineers and production staff. When real productivity and rework penalties (having to fix work incorrectly done the first time) are taken into account, the impact of overtime is worrisome: For only four hours of overtime worked each week, the project can expect to receive less than two hours of actual productivity from both engineers and production staff.
3
2
1
0 4
Overtime Hours
8 12
R e a l E
x tr
a O
u tp
u t
H o
u rs
G a in
e d
−1
Engineering
Production
Figure 10.13 real output Gained from Different levels of Sustained overtime
10.3 Crashing Projects 343
The more overtime is used, the more this problem is exacerbated. Indeed, at 12 hours of sustained weekly overtime, the net output effect is negligible for engineering personnel and actually becomes negative for production resources! In effect, requiring additional overtime work in the hopes of accelerating the project’s schedule often has the actual effect of increas- ing overtime-induced fatigue, adding to our budget while providing almost no real addi- tional productivity.
6. Add resources to the project team—Expected activity durations are based on using a set number of individuals to accomplish the task; however, when additional resources become available, they have the net effect of reducing the amount of time to complete the task. For example, suppose we originally assigned one programmer to complete a specific coding operation and determined that the task would take 40 hours. Now, we decide to shorten that task by adding two additional programmers. What is the new expected time to complete the activity? Certainly, we would anticipate it to be less than the original 40 hours, but how much less is not always clear, since the result may not be a simple linear function (e.g., 40/3 = 13.33 hours). Other variables can affect the completion time (e.g., communica- tion delays or difficulty in coordinating the three programmers). In general, however, add- ing resources to activities can lead to a significant reduction in the expected duration of the programming activity.
As with overtime, we need to carefully consider the impact of adding resources to a project, especially when some activities are already underway. In adding people to activi- ties, for example, we need to consider “learning curve” effects. Suppose that our program- mer has already begun working on the task when we decide to add two additional resources to help him. The effect of adding two programmers to this ongoing activity may actually backfire on the project manager, as was originally suggested by a former IBM executive named Fred Brooks. He suggested, in his famous Brooks’s law, that adding resources to ongoing activities only delays them further. His point was that the additional time and training needed to bring these extra resources up to speed on the task negates the positive impact of actually adding staff. It is much better, he suggested, to add extra resources to activities that have not yet started, where they can truly shorten the overall task durations. Although research has tended to confirm Brooks’s Law in most situations, it is possible to realize schedule shrinkage provided sufficient time and current resources are available to train additional staff or they are added early enough into the activity to minimize the nega- tive effects of Brooks’s Law.3
Although the above discussion demonstrates that there are some important issues to consider when adding resources to a project, this alternative remains by far the most common method for shortening activity durations, and it is often useful as long as the link between cost and schedule is respected.
To determine the usefulness of crashing project activities, we must first be able to determine the actual cost associated with each activity in the project, both in terms of project fixed costs and variable costs. These concepts are discussed in greater detail in Chapter 8 on project budgeting. Let us assume that we have a reasonable method for estimating the total cost of project activities, both in terms of their normal development time and under a crashed alternative. Figure 10.14 illustrates the relationship between activity costs and duration. Note that the normal length of the duration for an activity reflects a calculated resource cost in order to accomplish that task. As we seek to crash activities, the costs associated with these activities increase sharply. The crash point on the diagram represents the fully expedited project activity, in which no expense is spared to complete the task. Because the line shows the slope between the normal and crash points, it is also under- stood that a project activity can be speeded up to some degree less than the complete crash point, relative to the slope of the crash line.
In analyzing crash options for project activities, the goal is to find the point at which time and cost trade-offs are optimized. We can calculate various combinations of time/cost trade-offs for a project’s crash options by determining the slope for each activity using the following formula:
Slope = crash cost - normal cost normal time - crash time
344 Chapter 10 • Project Scheduling
examPLe 10.2 Crashing a Project
Suppose we have a project with only eight activities, as illustrated in Table 10.1. The table also shows our calculated normal activity durations and costs and crashed durations and their costs. We wish to determine which activities are the optimal candidates for crashing. Assume that the project costs listed include both fixed and variable costs for each activity. Use the formula provided earlier to calculate the per-unit costs (in this case, costs per day) for each activity. These costs are shown in Table 10.2.
The calculations suggest that the least expensive activities to crash would be first, activity A ($250/day), followed by activities B and G ($300/day). On the other hand, the project would incur the greatest cost increases through crashing activities H, E, and C ($2,000/day, $1,750/day, and
examPLe 10.1 Calculating the Cost of Crashing
To calculate the cost of crashing project activities, suppose that for activity X, the normal activity duration is 5 weeks and the budgeted cost is $12,000. The crash time for this activity is 3 weeks and the expected cost is $32,000. Using the above formula, we can calculate the cost slope for activity X as:
32,000 - 12,000 5 - 3
or $20,000
2 = $10,000 per week
In this example, activity X is calculated to cost $10,000 for each week’s acceleration to its original schedule. Is this a reasonable price? In order to answer that question, we need to consider:
a. What costs are associated with accelerating other project activities? It may be that activity X’s unit cost of $10,000 per week is a genuine bargain. Suppose, for example, that an alterna- tive activity would cost the project $25,000 for each week’s acceleration.
b. What are the gains versus the losses in accelerating this activity? For example, does the proj- ect have excessive late penalties that would make crashing cheaper relative to late delivery? Alternatively, is there a huge potential payoff in being first to market with the project?
Cost
Activity Duration
Normal
Crashed
Crashed Normal
Crash Point
Normal Point
Figure 10.14 time/cost trade-offs for crashing Activities
10.3 Crashing Projects 345
$1,500/day, respectively). Note that in this example, we are assuming that activity D cannot be shortened, so no crashing cost can be calculated for it.
Now let’s transfer these crashing costs to a network that shows the precedence logic of each activity. We can form a trade-off between shortening the project and increasing its total costs by analyzing each alternative. Figure 10.15 shows the project network as a simplified AON example with only activity identification and crashed duration values included. The network also shows the critical path as A - D - E - H or 27 days. We determined that the initial project cost, using normal activity durations, is $22,450. Crashing activity A (lowest at $250) by 1 day will increase the project budget from $22,450 to $22,700. Fully crashing activity A will shorten the project duration to 25 days while increasing the cost to $22,950. Activities B and G are the next candidates for crashing at $300 per day each. Neither activity is on the project’s critical path, however, so the overall benefit to the project from shortening these activities may be minimal. Activity D cannot be shortened. The per unit cost to crash E is $1,750, and the cost to crash H is higher ($2,000). Thus, crashing activity E by 1 day will increase the project budget from $22,950 to $24,700. The total costs for each day the project is crashed are shown in Table 10.3.
Note that in the fully crashed project network shown in Figure 10.15, the critical path is un- changed when all activities are fully crashed. The association of costs to project duration is graphed in Figure 10.16. As each project activity has been crashed in order, the overall project budget in- creases. Figure 10.16 demonstrates, however, that beyond crashing activities A, E, and H, there is little incentive to crash any of the other project tasks. The overall length of the project cannot shrink below 19 days, and additional crashing merely adds costs to the budget. Therefore, the optimal crash strategy for this project is to crash only activities A, E, and H for a total cost of $11,750 and a revised project cost of $34,200.
tabLe 10.1 Project Activities and costs (Normal vs. crashed)
Normal crashed
Activity Predecessors Duration cost Duration cost
A — 5 days $ 1,000 3 days $ 1,500
B A 7 days 700 6 days 1,000
C A 3 days 2,500 2 days 4,000
D A 5 days 1,500 5 days 1,500
E C, D 9 days 3,750 6 days 9,000
F B 4 days 1,600 3 days 2,500
G D 6 days 2,400 4 days 3,000
H E, F, G 8 days 9,000 5 days 15,000
Total costs = $22,450 $37,500
tabLe 10.2 costs of crashing each Activity
Activity crashing costs
(per day) on critical
Path?
A $ 250 Yes
B 300 No
C 1,500 No
D — Yes
E 1,750 Yes
F 900 No
G 300 No
H 2,000 Yes
tabLe 10.3 Project costs by Duration
Duration total costs
27 days $22,450
26 days 22,700
25 days 22,950
24 days 24,700
23 days 26,450
22 days 28,200
21 days 30,200
20 days 32,200
19 days 34,200
346 Chapter 10 • Project Scheduling
The decision to crash a project should be carefully considered for its benefits and draw- backs. Considering the relationship between activity duration and increased project costs is never a “painless” operation; there is always a significant cost associated with activity acceleration. However, if the reasons for crashing are sufficiently compelling, the overall project duration can often be shortened significantly.
crashing the Project: budget effects
As we have seen, crashing is the decision to shorten activity duration times through adding resources and paying additional direct costs. There is a clear relationship between the decision to crash project activities and the effect of the crashing on the budget. As Figure 10.16 showed, the cost of crashing is always to be weighed against the time saved in expediting the activity’s schedule.
A
3
B
7
C
3
D
5
E
6
F
4
G
6
H
5
Activity
Duration Legend-
Figure 10.15 fully crashed Project Activity Network
Duration (Days)
Cost
18 20 22 24 26 28 3016
20,000
24,000
28,000
32,000
36,000
40,000
44,000
All normal Crash A
Crash A + E
Crash A + E + H
Crash All
Figure 10.16 relationship Between cost and Days Saved in a crashed Project
10.3 Crashing Projects 347
To highlight this problem, consider the crashing table shown in Table 10.4. Let us assume that activities A, C, D, and H are on the critical path; therefore, the first decision relates to which of the critical activities we should crash. A simple side-by-side comparison of the activities and their crash costs reveals the following:
Activity crash cost
A $2,000
C $1,500
D $3,000
H $3,000
Using Table 10.4, we find that in crashing activity C, the least expensive to crash, we save 3 days at a cost of $1,500 in extra expenses. The other candidates for crashing (A, D, and H) can also be evaluated individually in terms of schedule time gained versus cost to the project budget (assume all other paths are ≤ 48 days). Crashing Activity A saves the project 3 days at an additional cost of $2,000, raising the total cost of A to $4,000. Crashing Activities D and H represents a time savings of 5 and 3 days respectively at additional costs of $3,000 for each.
Indirect costs are affected by crashing as well. Table 10.5 illustrates the choices the project team is faced with as they continually adjust the cost of crashing the schedule against other project costs. Suppose the project is being charged overhead at a fixed rate, say, $200 per day. Also assume that a series of late penalties is due to kick in if the project is not completed within 50 days. The original 57-day schedule clearly leaves us at risk for penalties, and although we have improved the delivery date, we are still 4 days past the deadline. Now we discover that iterating the crashed schedule three times will take us from our original 57-day schedule to a new schedule of 48 days (crashing first activity C, then A, and then H). The schedule has shortened 9 days against a budget increase of $6,500.
We could make Table 10.5 more complete by following the costs for each successive crashed activity and linking them to total project costs. Intuitively, however, we can see that
tabLe 10.4 Project Activities, Durations, and Direct costs
Normal crashed
Activity cost Duration extra cost Duration crash cost
A $2,000 10 days $2,000 7 days $ 667/day
B 1,500 5 days 3,000 3 days 1,500/day
C 3,000 12 days 1,500 9 days 500/day
D 5,000 20 days 3,000 15 days 600/day
E 2,500 8 days 2,500 6 days 1,250/day
F 3,000 14 days 2,500 10 days 625/day
G 6,000 12 days 5,000 10 days 2,500/day
H 9,000 15 days 3,000 12 days 1,000/day
tabLe 10.5 Project costs over Duration
Project Duration (in days) Direct costs
liquidated Damages Penalty
overhead costs total costs
57 $32,000 $5,000 $11,400 $48,400
54 33,500 3,000 10,800 47,300
51 35,500 1,000 10,200 46,700
48 38,500 -0- 9,600 48,100
348 Chapter 10 • Project Scheduling
direct costs would continue to increase as we included the extra costs of more crashed activities. On the other hand, overhead charges and liquidated damages costs would decrease; in fact, at the 48-day mark, liquidated damages no longer factor into the cost structure. Hence, the chal- lenge becomes deciding at what point it is no longer economically viable to continue crashing project activities.
Figure 10.17 depicts the choices the project team faces in balancing the competing demands of schedule and cost, with other intervening factors such as penalties for late delivery included. Direct costs are shown with a downward slope, reflecting the fact that the costs will rapidly ramp up as the schedule shrinks (the time-cost trade-off effect). With liquidated damage penalties emerging after the 50-day schedule deadline, we see that the project team is facing a choice of pay- ing extra money for a crashed schedule at the front end versus paying out penalties upon project delivery for being late. The process the project team faces is a balancing act between competing costs—crashing costs and late completion costs.
10.4 activity-on-arrow networks
So far this text has focused exclusively on the use of the Activity-on-node (Aon) convention for representing activity network diagrams. Among the reasons for this system’s popularity is that it mirrors the standard employed in almost all project management scheduling software, it is visually easier to comprehend, and it simplifies many past standards and conventions in network diagrams. Nevertheless, Activity-on-Arrow (AOA) techniques are an alternative to AON method- ology. Although no longer as popular as it once was, AOA is still used to some degree in various project management situations. Some AOA conventions are unique to its use and do not directly translate or integrate with AON approaches.
how are they different?
Both AON and AOA methods are used to create a project activity network. They simply differ in the means they employ and the graphical manner in which the network, once completed, is repre- sented. AOA networks also employ arrows and nodes to build the activity network; however, with AOA, the arrow represents the activity with its duration time estimate, while the node is used only as an event marker, usually representing the completion of a task.
Consider the activity node shown in Figure 10.18. The AOA node is similar to AON nodes in that there is no set standard for the types of information that the node should contain; however, it
55
45 Total costs
35 Direct costs
Cost (thousands)
25
15 Overhead
5 Penalty
30 35 40 45 50 55 60
Project Schedule Baseline (Days)
Figure 10.17 Project costs over the life cycle
Source: A. Shtub, J. F. Bard, and S. Globerson. (1994). Project Management: Processes, Methodologies, and Economics, Second Edition. Copyright © 2005. Adapted by permission of Pearson Education, Inc., Upper Saddle River, NJ.
10.4 Activity-on-Arrow Networks 349
should be sufficiently clear to convey understanding to the users. The convention in Figure 10.18 offers the major placement of network information for each activity arrow and node:
Arrow includes a short task description and the expected duration for the activity. node includes an event label, such as a number, letter, or code, and earliest and latest event times. These values correspond to early start and late finish times for the activity.
examPLe 10.3 Activity-on-Arrow Network Development
The development of an AOA network follows a similar process to the one we apply to AON meth- odology, with some important distinctions. In order to make clear the differences, let us return to the sample network problem from earlier in this chapter: Project Delta. Table 10.6 gives us the relevant precedence information that we need to construct the AOA network.
We begin building a network in the same manner as with AON developed in Chapter 9. First, we can start with activity A and its immediate successors, activities B and C. Because the conven- tion now is to indicate the activity on the arrow, it is common for AOA networks to have an initial “Start” event node that precedes the insertion of the activities. Figure 10.19 shows the process of be- ginning to add the project information to the network diagram. Note that activities B and C directly succeed activity A. The convention would be to draw two arrows, representing these activities, directly off event node 2.
The first problem with AOA networking becomes apparent once we have to enter activity D into the network. Note that both activities B and C are immediate predecessors for activity D. Rep- resenting this relationship with an AON network is easy; we simply draw two arrows connecting
Events shown in node Activity shown on arrow
Event label
Earliest event time
Latest event time
Description
Duration
Figure 10.18 Notation for Activity-on-Arrow (AoA) Networks
tabLe 10.6 Project information
Project Delta
Activity Description Predecessors estimated Duration
A Contract signing None 5
B Questionnaire design A 5
C Target market ID A 6
D Survey sample B, C 13
E Develop presentation B 6
F Analyze results D 4
G Demographic analysis C 9
H Presentation to client E, F, G 2
350 Chapter 10 • Project Scheduling
nodes B and C to the node for activity D (see Figure 9.10). However, with AOA networks we cannot employ the same process. Why not? Because each arrow is used not just to connect the nodes, but also to represent a separate task in the activity network. How can we show this precedence relation- ship in the network? Figure 10.20 offers several options, two of which are incorrect. The first option (Figure 10.20a) is to assign two arrows representing activity D and link activities B and C through their respective nodes (3 and 4) with node 5. This would be wrong because the AOA convention is to assign only one activity to each arrow. Alternatively, we could try to represent this precedence relationship by using the second option (Figure 10.20b), in which a double set of activity arrows for activities B and C jointly link node 2 to node 3. Again, this approach is incorrect because it violates the rule that each node represents a unique event, such as the completion of an individual activity. It can also become confusing when the convention is to employ multiple arrows between event nodes. It was in order to resolve just such a circumstance that the use of dummy activities was created.
A
B
C
1 2
3
4
Figure 10.19 Sample Network Diagram Using AoA Approach
3
5
4
B
C
D
D
2
Figure 10.20a representing Activities with two or More immediate Successors (Wrong)
3
B
D
C
2 4
Figure 10.20b Alternative Way to represent Activities with two or More immediate Successors (Wrong)
10.4 Activity-on-Arrow Networks 351
dummy activities
dummy activities are used in AOA networks to indicate the existence of precedent relationships between activities and their event nodes. They do not have any work or time values assigned to them. They are employed when we wish to indicate a logical dependency such that one activ- ity cannot start before another has been completed, but the activities do not lie on the same path through the network. Dummy activities are usually represented as dashed or dotted lines and may or may not be assigned their own identifiers.
Figure 10.20c shows the proper method for linking activities B and C with their successor, activity D, through the use of dummy activities. In this case, the dummy activities merely demon- strate that both activities B and C must be completed prior to the start of activity D. When using dummy activities in network diagramming, one good rule for their use is to try to apply them sparingly. The excessive use of dummy activities can add confusion to the network, particularly when it is often possible to represent precedence logic without employing the maximum pos- sible number of dummy activities. To illustrate this point, consider Figure 10.21, in which we have reconfigured the partial activity network for Project Delta slightly. Note that this diagram has simply eliminated one of the dummy activities about to enter node 5 without changing the network logic.
Now that we have a sense of the use of dummy activities, we can construct the full AOA network for Project Delta. Activity E succeeds B and is entered on the network with its endpoint at node 6. Likewise, activity F, following D, is entered into the network with endpoint at node 6. Activity G can also be entered following the completion of C, and its endpoint node is also 6. Finally, activity H, which has activities E, F, and G as predecessors, is entered and completes the basic AOA network (see Figure 10.22).
3
5
4
B
C
2 D
6
Figure 10.20c representing Activities with two or More immediate Successors Using Dummy Activities (Better)
3
B
C
2
4
A 1
Figure 10.21 Partial Project Delta Network Using AoA Notation
352 Chapter 10 • Project Scheduling
Forward and backward Passes with aoa networks
The actual information we seek to collect for these processes that determines early and late start dates is slightly different from that used in AON, as we are concerned with the early start (ES) values for each activity node in the forward pass. The decision rules still apply: Where we have nodes that serve as merge points for multiple predecessor activities, we select the largest ES. The only other point to remember is that dummy activities do not have any duration value attached to them.
Figure 10.23 shows the forward pass results for Project Delta. The nodes display the informa- tion concerning ES in the upper right quadrant. As with the AON forward pass, the process con- sists simply of adding duration estimates for each activity moving from left to right through the network. The only places in the network that require some deliberation regarding the ES value to apply are at the merge points represented by nodes 4 and 6. Node 4 is the merge point for activity C and the dummy activity represented by the dotted line. Because dummy activities do not have any value themselves, the ES for node 4 is the largest of the additive paths for activities A - C = 11 versus activities A - B = 10. Therefore, we find that the ES at node 4 should be 11. The other merge point, node 6, uses the same selection process. Because the path A - C - D - F = 28, which is the largest of the paths entering the node, we use 28 as the ES for node 6. Finally, after adding the dura- tion for activity H, the overall length of the network is 30 weeks, just as it was in the AON network shown in the previous chapter (see Figure 9.18).
The backward pass is also similar in procedure to the earlier AON process. The backward pass starts at the far right or completion of the network at node 7 and, using the 30-week duration as its starting point, subtracts activity times along each path (LF - Duration = LS). When we reach a burst event, such as node 2 or 4, we select the smallest LS from the choice of activities. Thus, using Figure 10.24 as our reference, we can begin subtracting duration values as we move from right to left in the network. The LS values are included in the node in the bottom right-hand quad- rant, right underneath the ES values.
The forward pass allowed us to determine that the expected duration for the project is 30 weeks. Using the backward pass, we can determine the individual activity slacks as well as the
3 B
C
2
4
6 7
5
1 A
H
E
F
G
D
Figure 10.22 completed Project Delta AoA Network
3 B
C
2
4
6 7
5
1 0 A
5
5 5
10
116
6
9 2
30
13 24
28
4
H
E
F
G
D
Figure 10.23 Project Delta forward Pass Using AoA Network
10.4 Activity-on-Arrow Networks 353
critical path, similar to the AON process. The difference is that the labeling of ES and LS values lies within the event nodes; therefore, it is necessary to examine each activity path to determine the slack associated with it. We know, for example, that the ES for activity E is 10 weeks and the duration of the activity is 6 weeks. Therefore, when comparing the EF for activity E of 16 weeks with the ES value in node 6 of 28 weeks, we can see that the difference, 12 weeks, is the amount of slack for the activity. Likewise, activity G’s ES is 11 weeks and its duration is 9. This EF value of 20 weeks is 8 weeks less than the ES for node 6, indicating that activity G’s slack is 8. The same logic can be applied to each activity in the network to determine the critical path and the activities with slack time.
aoa versus aon
Activity-on-Arrow and Activity-on-Node network diagramming are intended to do the same thing: create a sequential logic for all activities with a project and, once they are linked, determine the proj- ect’s duration, critical path, and slack activities. One common question has to do with the efficacy of one network approach over the other; that is, what are the benefits and drawbacks of selecting either the AON format or the AOA approach? Consequently, in choosing to use either AOA or AON network methods, it is important to consider some of the strengths and weaknesses of each of these techniques.4
aon strengths and weaknesses The benefits of AON are centered primarily in the fact that it has become the most popular format for computer software packages, such as MS Project. Hence, as more and more companies use software-based project scheduling software, they are increas- ingly using the AON method for network diagrams. Another benefit of AON is that we place the activity within a node and use arrows merely as connection devices, thereby simplifying the network labeling. This convention makes AON networks very easy to read and comprehend, even for novice project managers. The primary drawback with AON networks occurs when the project is very complex with numerous paths through the model. The sheer number of arrows and node connections when multiple project activities are merging or bursting can make AON networks dif- ficult to read.
aoa strengths and weaknesses The greatest benefit of AOA modeling lies in its accepted use in certain business fields, such as construction, where AON networks may be less widely used. Also, in the case of large, complex projects, it is often easier to employ the path process used in AOA. Finally, because the activity and node system is used for projects that have many significant milestones, such as supplier deliveries, AOA event nodes are very easy to identify and flag. On the other hand, there is no question that some conventions in AOA diagramming are awkward, par- ticularly the use of dummy activities. The concept of dummy activities is not simple to master, and thus more training is required on the part of novice project managers to be able to use the concept easily. In addition, AOA networks can be “information-intensive” in that both arrows and nodes contain some important project information. Rather than centralizing all data into a node, as in the AON convention, AOA networks use both arrows and nodes to label the network.
3 B
C
2
4
6 7
5
1 0
0 A 5 5
5 5
10 22
11
11
6
6
9 2
30
30
13 24
24
28 28
4
H
E
F
G
D
Figure 10.24 Project Delta Backward Pass Using AoA Network
354 Chapter 10 • Project Scheduling
Ultimately, the choice to employ AON or AOA network methodology comes down to individual preferences and the external pressures faced in work situations. For example, if the organization I work for has decided to adopt AON modeling because of the commonly used scheduling software, in all likelihood I will concentrate exclusively on AON network diagram- ming approaches. Regardless of the decision each of us makes regarding the use of AOA or AON methodology, it is extremely important that we all become comfortable with the basic theory and operation of both types of network models.
10.5 controversies in the use oF networks
The Program evaluation and review technique/Critical Path Method (PERT/CPM) is a well understood and much employed system for project planning and scheduling. Nevertheless, net- works are abstract representations of events in which time is reduced to a numerical value. They may or may not be drawn to a scale that has a relationship to the ongoing pattern of events. Sometimes this abstraction can be misleading. In fact, there are several criticisms and caveats we need to bear in mind as we develop project activity networks, including:5
1. Networks can become too large and complex to be meaningful. Many projects are large and hugely complex. For example, the creation of an operating system for personal com- puters, construction of a sports arena, or development of a drug are all projects that can easily contain thousands of steps or individual activities. Many projects extend over years, and estimation of activity duration can become general guesses at best. As a result, when working with networks for large-scale or long-term projects, it is necessary to find ways to simplify the activity network calculations. One rule of thumb for large projects is to try to simplify network logic and reduce it to the most obvious or meaningful relationships. Rather than showing every possible path through the network and every activity sequence, a “meta- network” that shows only the key subroutines or network paths can be created. These sub- routines can be further broken down by the project manager or administrator responsible for their completion, but the overall project network is streamlined to include only the most general or relevant project activities.
A variably scaled time frame is another option for long-term projects. For example, activities scheduled to occur within the first nine months may be listed with durations scaled to the number of days necessary to complete them. Activities scheduled between the first and second year may be listed on the network with a scaling of weeks or even months, and activities included in the network beyond the second year may only be listed with durations indicated by months.
2. Faulty reasoning in network construction can sometimes lead to oversimplification or incor- rect representations. Problems frequently occur when organizations attempt to manage their projects on the basis of these multiple layers of activity networks. Information going to dif- ferent levels in the organization is often not easily understood or translatable between levels because they do not share a common project schedule. Hence, it is important that when sim- plifying a project network, steps must be taken to ensure that information is not lost through oversimplification or the creation of multiple networks with no integration processes.
Complex schedules often require a combination “top-down, bottom-up” approach to controlling project activities. Top-down control means that there is a tiered system for project schedules. At the top is the most basic summary information, as in the case of simply list- ing work packages or summary “roll-ups” of numerous individual tasks. Top management then deals with top-tier summary information that aggregates and simplifies the schedule. Although it is much easier to understand, this top-tier summary network does not give top management a basis for understanding the actual development of the project because they are not privy to the status of individual tasks. On the other hand, those responsible for por- tions of the project, as well as project managers, need more “bottom-up” information to allow them to maintain hands-on control of the portion of the project network for which they are responsible. Project personnel need specific, lower-tier activity network information to allow for optimal scheduling and control.
Figure 10.25 provides an example of a simplified tiered system for schedules. Top man- agement would receive aggregated information from the top tier, middle-level management
10.5 Controversies in the Use of Networks 355
(e.g., department heads) would get slightly more detailed information based on activities relevant to their departments or functions, and both the project manager and the project team would employ the full, detailed, and specific project schedule in the bottom tier.
3. Networks are sometimes used for tasks for which they are not well suited. Companies sometimes try to adopt project network scheduling to other scheduling activities in their organizations, but network activities are not useful for all scheduling challenges. Suppose, for example, that a manufacturing organization was having problems with its production scheduling. Under the mistaken notion that PERT can work just as well for manufacturing operations as it does for project planning, managers might mistakenly decide to employ PERT in situations for which it is not suited. In fact, although project network scheduling methodologies are an important technique in project management, they do not represent a panacea for all scheduling problems that organizations face.
4. Networks used to control the behavior of subcontractors have special dangers. Many projects involve the use of subcontractors. When the “prime contracting” organiza- tion employs multiple subcontractors, a common mistake is requiring them to develop independent activity plans without reference to or understanding the planning of other subcontractors with whom they may need to interface. If a firm is using multiple subcon- tractors, two important principles are needed to guide their use of networks: (1) All sub- contractors must be privy to the prime contractor ’s overall network, which includes the schedules for each “sub,” so that subcontractors can make scheduling decisions based not on assumptions, but rather on clear knowledge of the plans of other subcontractors; and (2) the networks of all subcontractors need to be merged—using a common set of network techniques, time-frame scaling, and so forth—and the network document must be mutu- ally accessible, which is most likely to occur if all subcontractors are equally aware of the rules governing network creation.
5. There is a strong potential for positive bias in PERT estimations used in network construc- tion. Research has demonstrated that most activity estimations using PERT methods lead to overly optimistic activity duration estimates. PERT analysis is based on probabilistic time estimates that, if unreasonably determined, can lead to inaccurate and misleading project schedules. The logic that drives duration estimates and the development of the PERT net- work must be demonstrated as reasonable for PERT scheduling to be meaningful.
Tier Three— Bottom
Tier Two—Middle
Tier One—Top
Figure 10.25 tiered System of Project Schedules
356 Chapter 10 • Project Scheduling
conclusions
Activity network development is the heart of the project management planning process. It requires us to make reasonable estimates of activity durations, and it expects us to develop the logic for activity sequencing and use this information to create meaningful project schedules. Only through the careful analysis of the steps in project scheduling can we turn project concepts into working realities. Scheduling allows us to determine the answers to the truly significant questions of project management: What needs to be accomplished? When does it need to be accomplished? How can it be accomplished? The scheduling techniques you select are not nearly as important to the final success of your projects as is your commitment to performing these operations carefully, methodi- cally, and honestly. The schedule is our road map showing the route we must take to complete the project successfully. The care with which we create that map and the manner in which we follow it will go far to determining whether or not we will be successful in running our projects.
Summary
1. Apply lag relationships to project activities. Examples of developing network logic include determining how precedence relationships apply to each project activity; that is, do activities follow one another in a common manner in which the pre- decessor’s early finish becomes the successor activ- ity’s early start, or are other relationships specified? Among these alternative relationships, referred to as lag relationships, are Finish to Start, Finish to Finish, Start to Start, and Start to Finish.
2. construct and comprehend gantt charts. An alter- native method for developing the project network other than the use of PERT diagrams is Gantt charts. Gantt charts offer an important advantage over the early PERT diagrams in that they link the activities to a project schedule baseline based on actual calendar dates. Thus, we can see not only which activities have to occur in what order, but also when they are sched- uled to begin and end. In recent years, Gantt charts have been used in conjunction with PERT charts, particularly with most project scheduling software.
3. recognize alternative means to accelerate projects, including their benefits and drawbacks. The project schedule can be accelerated by a number of alternative means, including adding resources to the project team, fast-tracking, compromising quality, reducing the project’s scope, and using overtime. Each of these options offers the means to accelerate a project, but not all are appropriate in every circumstance; for example, it may not be use- ful or helpful to deliberately compromise a project’s quality. Some of these options can improve produc- tivity in theory, but may not work as well in reality; for example, research suggests that use of sustained overtime for extended periods can actually have a detrimental effect on a project due to the effects of employee fatigue and rework costs. Finally, the choice of alternatives requires us to understand the resource constraints of the organization.
4. Understand the trade-offs required in the decision to crash project activities. When it has been deter- mined that the project must be accelerated, due to either changes in the external environment or pres- sures from top management or customers, a method known as project crashing is employed. Crashing directly links all activities to their respective costs and allows us to calculate the cost for each day we choose to accelerate the project. The decision of whether or not to crash can therefore be directly linked to the cost implications for crashing, allow- ing project managers to make an informed decision on time/cost trade-offs.
5. develop activity networks using Activity-on- Arrow techniques. Although AON network dia- gramming has become the more popular method, for many years AOA network diagramming was the technique of choice, and it is still widely applied in several project settings, such as construction. This chapter discusses in detail AOA networks and their unique properties, including the creation and use of dummy variables, and examines the steps nec- essary to construct an AOA network, as well as its advantages and disadvantages compared to AON notation.
6. Understand the differences in Aon and AoA and recognize the advantages and disadvantages of each technique. The chapter concludes with a critical review of some of the controversies found in the development and use of network dia- grams for project scheduling. Several drawbacks or concerns in diagramming are listed, including (1) networks can become too large and complex to be meaningful, (2) faulty reasoning can lead to oversimplification or incorrect representations, (3) networks can be used for tasks for which they are not well suited, and (4) network diagramming has special dangers when used to control subcontrac- tor behavior.
Solved Problems 357
Key Terms
Activity-on-Arrow (AOA) (p. 348)
Activity-on-Node (AON) (p. 348)
Arrow (p. 349)
Brooks’s Law (p. 343) Crashing (p. 340) Dummy activities (p. 351) Event (p. 348) Fast-tracking (p. 334)
Gantt chart (p. 335) Lag (p. 333) Merge (p. 352) Node (p. 349) Overtime (p. 336)
Program Evaluation and Review Technique (PERT) (p. 354)
Serial activities (p. 333)
10.1 crASHiNG Project ActivitieS Suppose you are considering whether or not to crash project ac- tivities in order to expedite your project. You have calculated the total costs per activity for both normal and crashed options. These are shown in the table below:
Normal crashed
Activity Duration cost Duration cost
A 6 days $ 2,400 4 days $ 3,600
B 7 days 3,500 5 days 5,000
C 5 days 3,000 4 days 3,800
D 3 days 2,700 2 days 4,500
E 4 days 800 3 days 1,500
F 5 days 1,200 3 days 2,100
G 8 days 2,400 5 days 4,200
H 3 days 4,500 2 days 7,000
Total costs = $20,500 $31,700
a. Which activities are the most likely candidates for crashing (i.e., which are the most cost-effective to crash)?
b. Refer back to Figure 10.24. Using the critical path from this activity network, consider A - C - D - F - H as the critical path and assume all other paths are less than a fully crashed A - C - D - F - H. Prioritize the candidates for crashing. How does the activity network change the deci- sion rule?
SoluTioN
Remember that the formula to calculate crashing costs is based on the slope between the normal and crashed costs of each activity:
Slope = crash cost - normal cost normal time - crash time
Using this equation, we can create a table showing the crashing costs per day:
Activity crashing costs (per day)
A $ 600
B 750
C 800
D 1,800
E 700
F 450
G 600
H 2,500
a. Prioritizing crashing choices, the most cost-effective activities to crash are (1) activity F, (2) activities A and G, and (3) activity E.
b. The choices for crashing should be prioritized first by those that are on the critical path. In this example, the critical path is made up of activities A - C - D - F - H. Therefore, the first activity to be crashed would be activity F, followed by activ- ity A. Because neither activity G nor E is on the critical path, crashing them will not reduce the project length but will add to the overall costs.
10.2 coSt of crASHiNG A Project Consider the following project activity table, identifying each activity, its normal duration and cost, and expedited durations and costs:
Normal crashed
Activity Duration cost Duration cost
A 3 days $1,500 2 days $2,000
B 5 days 3,500 4 days 5,000
C 4 days 6,800 3 days 7,500
D 5 days 2,500 3 days 6,000
E 7 days 4,200 6 days 5,400
F 4 days 2,000 3 days 2,700
a. What is the cost per day to crash each of the activities? b. Assuming that only activities A, C, and E are part of the
critical path, which activities should be crashed first?
Solved Problems
358 Chapter 10 • Project Scheduling
SoluTioN
a. The formula for calculating crash costs is:
Slope = crash cost - normal cost normal time - crash time
The crashed costs for each activity are:
Activity A = $500 Activity B = $1,500 Activity C = $700
Activity D = $1,750 Activity E = $1,200 Activity F = $700
b. Assuming that activities A, C, and E are part of the critical path, we would crash in order from the least expensive ac- tivity to the most expensive. In this case, the first choice for crashing is activity A ($500), followed by activity C ($700), and activity E ($1,200). The total time we can save in crash- ing all critical path activities is 3 days at a total additional cost of $2,400.
Discussion Questions
Problems
10.1 Give examples of circumstances in which a project would employ lag relationships between activities using: a. Finish to start b. Finish to finish c. Start to start d. Start to Finish
10.2 The advantage of Gantt charts lies in their linkage to the project schedule baseline. Explain this concept.
10.3 What are the advantages in the use of Gantt charts over PERT diagrams? In what ways might PERT diagrams be advantageous?
10.4 How do concepts such as Brooks’s Law and the effects of sustained overtime cause us to rethink the best ways to accelerate a project? Is it particularly ironic that these “acceleration” efforts can actually lead to serious delays?
10.5 Under what circumstances might you wish to crash a project?
10.6 In crashing a project, we routinely focus on those activities that lie on the critical path, not activities with slack time. Explain why this is the case.
10.7 What are some of the advantages in the use of AOA nota- tion as opposed to AON? Under what circumstances does it seem better to apply AON methodology in network development?
10.8 Explain the concept of a dummy variable. Why is this con- cept employed in AOA notation? Why is there no need to use dummy variables in an AON network?
10.9 Identify and discuss some of the problems or dangers in using project networks. Under what circumstances can they be beneficial, and when can they be dangerous?
10.1 Develop the network activity chart and identify the criti- cal path for a project based on the following information. Draw the activity network as a Gantt chart. What is the expected duration of the project?
Activity expected Duration Predecessors
A 5 days —
B 6 days A
C 2 days A
D 4 days A
E 6 days B, C
F 6 days D, E
G 12 days F
H 4 days G
I 6 days F
J 7 days H, I
10.2 Develop a Gantt chart for the following activities. Identify all paths through the network. What is the critical path? Optional: Solve this problem with Microsoft Project. How does clicking on “Tracking Gantt” view demonstrate the critical path?
Activity expected Duration Predecessors
A 2 days —
B 3 days A
C 4 days A
D 4 days B, C
E 5 days B
F 6 days D
G 4 days C, E, F
10.3 Reconfigure the Gantt chart in problem 2 to include some different predecessor relationships. Optional: Solve this problem with Microsoft Project. a. Assume that activities B and C are linked with a “finish
to finish” relationship. Does that change the expected completion date for the project?
b. For activity F, add a lag of 3 days to its predecessor relationship with activity D. By adding the 3-day lag to F, what is the new expected duration for the project?
c. Suppose you now added a start-to-start relationship between activities F and G to the new Gantt chart. How does this additional relationship change the expected completion date for the project?
Problems 359
10.4 Consider a project with the following information. Construct the project activity network using AOA meth- odology and label each node and arrow appropriately. Identify all dummy activities required to complete the network.
Activity Duration Predecessors
A 3 —
B 5 A
C 7 A
D 3 B, C
E 5 B
F 4 D
G 2 C
H 5 E, F, G
Activity Duration eS ef lS lf Slack
A 3 0 3 0 3 —
B 5 3 8 5 10 2
C 7 3 10 3 10 —
D 3 10 13 10 13 —
E 5 8 13 12 17 4
F 4 13 17 13 17 —
G 2 10 12 15 17 5
H 5 17 22 17 22 —
10.5 You are considering the decision of whether or not to crash your project. After asking your operations manager to con- duct an analysis, you have determined the “precrash” and “postcrash” activity durations and costs, shown in the fol- lowing table (assume all activities are on the critical path):
Normal crashed
Activity Duration cost Duration cost
A 4 days $1,000 3 days $2,000
B 5 days 2,500 3 days 5,000
C 3 days 750 2 days 1,200
D 7 days 3,500 5 days 5,000
E 2 days 500 1 day 2,000
F 5 days 2,000 4 days 3,000
G 9 days 4,500 7 days 6,300
a. Calculate the per day costs for crashing each activity. b. Which are the most attractive candidates for crashing?
Why? 10.6 Suppose you are trying to decide whether or not it makes
sense to crash your project. You know that normal project duration and direct costs are 60 days and $125,000. You are worried, though, because you have a very tight deliv- ery schedule and the customer has placed a severe pen- alty into the contract in the form of $5,000 in liquidated
damages for every day the project is late after 50 days. After working with the cost accountant, you have gener- ated the following table of project costs at different com- pletion durations:
Project Duration (in days) Direct costs
overhead costs
Penalty charges
total costs
60 $125,000 $15,500 $50,000
57 140,000 13,000 35,000
54 175,000 10,500 20,000
51 210,000 8,000 5,000
a. Complete the table. How many days would you advise the project should be crashed? Why?
b. Suppose direct costs of crashing the project only increased $5,000 per day crashed at a steady rate (start- ing with $125,000 on day 60). How many days would you advise that the project be crashed? Show your work.
10.7 When deciding on whether or not to crash project activi- ties, a project manager was faced with the following infor- mation. Activities on the critical path are highlighted with an asterisk:
Normal crashed
Activity cost Duration extra cost Duration
A $ 5,000 4 weeks $4,000 3 weeks
B* 10,000 5 weeks 3,000 4 weeks
C 3,500 2 weeks 3,500 1 week
D* 4,500 6 weeks 4,000 4 weeks
E* 1,500 3 weeks 2,500 2 weeks
F 7,500 8 weeks 5,000 7 weeks
G* 3,000 7 weeks 2,500 6 weeks
H 2,500 6 weeks 3,000 5 weeks
a. Identify the sequencing of the activities to be crashed in the first four steps. Which of the critical activities should be crashed first? Why?
b. What is the project’s critical path? After four itera- tions involving crashing project activities, what has the critical path shrunk to? (Assume all noncritical paths are … a fully crashed critical path.)
c. Suppose project overhead costs accrued at a fixed rate of $500 per week. Chart the decline in direct costs over the project life relative to the increase in overhead ex- penses.
d. Assume that a project penalty clause kicks in after 19 weeks. The penalty charged is $5,000 per week. When the penalty charges are added, what does the total proj- ect cost curve look like? Develop a table listing the costs accruing on a per-week basis.
e. If there were no penalty payments accruing to the proj- ect, would it make sense to crash any project activities? Show your work.
360 Chapter 10 • Project Scheduling
CASe STuDy 10.1 Project Scheduling at Blanque Cheque Construction (A)
Joe has worked for Blanque Cheque Construction (BCC) for five years, mainly in administrative posi- tions. Three months ago, he was informed that he was being transferred to the firm’s project management group. Joe was excited because he realized that project management was typically the career path to the top in BCC, and everyone had to demonstrate the ability to “get their feet wet” by successfully running projects.
Joe has just left a meeting with his superior, Jill, who has assigned him project management responsi- bilities for a new construction project the company has successfully bid. The project consists of developing a small commercial property that the owners hope to turn into a strip mall, directly across the street from a suburban college campus. The size of the property and building costs make it prudent to develop the prop- erty for four stores of roughly equal size. Beyond that desire, the owners have made it clear to BCC that all project management associated with developing the site is BCC’s responsibility.
Joe is sitting in his office at BCC trying to develop a reasonable project plan, including laying out some of the important project activities. At this point, he is
content to stick with general levels of activities; that is, he does not want to get too specific yet regarding the various construction steps for developing the site.
Questions
1. Develop a project network consisting of at least 20 steps that should be done to complete the proj- ect. As the case suggests, keep the level of detail for these activities general, rather than specific. Be sure to indicate some degree of precedence re- lationship among the activities.
2. Suppose you now wanted to calculate duration estimates for these activities. How would you make use of the following approaches? Are some more useful than others? a. Expert opinion b. Past history c. Mathematical derivation
3. Joe is trying to decide which scheduling format to employ for his planning: AON or AOA. What are some of the issues that Joe should first con- sider prior to choosing between these methods?
CASe STuDy 10.2 Project Scheduling at Blanque Cheque Construction (B)
Joe has been managing his project now for more than 12 months and is becoming concerned with how far behind the schedule it is slipping. Through a series of mishaps, late supplier deliveries, bad weather, and other unforeseen circumstances, the project has expe- rienced one delay after another. Although the original plan called for the project to be completed within the next four months, Joe’s site supervisor is confident that BCC cannot possibly make that completion date. Late completion of the project has some severe conse- quences, both for BCC and for Joe. For the company, a series of penalty clauses kicks in for every week the project is late past the contracted completion date. For Joe personally, a late completion to his first project as- signment can be very damaging to his career.
Joe has just finished a meeting with his direct supervisor to determine what options he has at this point. The good news is that the BCC bid for the con- struction project came with some additional profit margin above what is common in the industry, so Joe’s boss has given him some “wiggle room” in the form of $30,000 in discretionary budget money if needed.
The bad news is that the delivery date for the project is fixed and cannot be altered without incurring substan- tial penalties, something BCC is not prepared to accept. The message to Joe is clear: You can spend some addi- tional money but you cannot have any extra time.
Joe has just called a meeting with the site super- visor and other key project team members to discuss the possibility of crashing the remaining project activi- ties. He calculates that crashing most of the final activi- ties will bring them in close to the original contracted completion date but at a substantial cost. He needs to weigh these options carefully with his team members to determine if crashing makes sense.
Questions
1. What are some of the issues that weigh in favor of and against crashing the project?
2. Suppose you were the site supervisor for this project. How would you advise Joe to proceed? Before deciding whether or not to crash the proj- ect, what questions should you consider and how should you evaluate your options?
MS Project Exercises 361
MS Project exercises
exercise 10.1
Suppose we have a complete activity predecessor table below and we wish to create a network diagram highlighting
Project: Remodeling an Appliance
Activity Duration Predecessors
A Conduct competitive analysis 3 —
B Review field sales reports 2 —
C Conduct tech capabilities assessment 5 —
D Develop focus group data 2 A, B, C
E Conduct telephone surveys 3 D
F Identify relevant specification improvements 3 E
G Interface with marketing staff 1 F
H Develop engineering specifications 5 G
I Check and debug designs 4 H
J Develop testing protocol 3 G
K Identify critical performance levels 2 J
L Assess and modify product components 6 I, K
M Conduct capabilities assessment 12 L
N Identify selection criteria 3 M
O Develop RFQ 4 M
P Develop production master schedule 5 N, O
Q Liaise with sales staff 1 P
R Prepare product launch 3 Q
exercise 10.2
Now, continue developing your Gantt chart with the rest of the information contained in the table in Exercise 10.1, and create a complete activity network diagram for this project.
exercise 10.3
Identify the critical path for the project shown in Exercise 10.1. How can you identify the critical path? (Hint: Click on the “Tracking Gantt” option.)
exercise 10.4
Suppose that we wish to incorporate lag relationships into our Remodeling an Appliance activity network. Consider the table shown below and the lag relationships noted. Develop an MS Project Gantt chart that demonstrates these lags.
Activity Duration lag relationship
A Wiring 6 None
B Plumbing 2 None
C HVAC 3 Wiring (Finish to Start), Plumbing (Finish to Finish)
D Interior construction 6 HVAC (Start to Start)
the activity sequence for this project. Using MS Project, enter activities A through E, their durations, and their predeces- sors. Note that all duration times are in days.
PMP certificAtion sAMPle QUestions
1. The IT implementation project is bogging down and falling behind schedule. The department heads are complaining that the project cannot help them if it is not implemented in a reasonable time frame. Your proj- ect manager is considering putting extra resources to work on activities along the critical path to accelerate the schedule. This is an example of what?
a. Rebaselining b. Crashing c. Fast-tracking the project d. Identifying critical dependencies
2. Dummy variables are used in what kind of network diagramming method?
a. AON b. Gantt charts c. AOA d. OBS
3. Suppose you evaluated the best-case, most likely, and worst-case duration estimates for an activity and de- termined that they were 3 days, 4 days, and 8 days,
362 Chapter 10 • Project Scheduling
respectively. Using PERT estimation techniques, what would be the expected duration for the activity?
a. 4 days b. 8 days c. 5 days d. 4.5 days
4. Suppose you created your activity network and discovered that you had two critical paths in your project. You share this information with another proj- ect manager, who strongly argues that a project can have only one critical path; therefore, your calcula- tions are incorrect. What is the correct response to his assertion?
a. A project can have more than one critical path, although having multiple critical paths is also likely to increase the risk of the project falling behind.
b. Your coworker is correct: A project can have only one critical path. You need to return to the network and determine where you erred in developing the network logic and diagram.
c. The critical path is the shortest path through the network, so having more than one is not a signifi- cant problem.
d. A project can have more than one critical path, al- though having multiple critical paths is actually likely to decrease the overall risk of the project.
5. Which of the following circumstances would re- quire the creation of a lag relationship in a network diagram?
a. The critical path b. The insertion of a dummy variable into a network
diagram c. A delay after painting a room to allow for the paint
to dry before beginning to carpet the room’s floor d. An early finish relationship between two activities
Answers: 1. b—Accelerating the project through adding resources to critical activities is referred to as “crashing” the project; 2. c—Dummy variables are employed in Activ- ity-on-Arrow (AOA) network diagrams; 3. d—PERT esti- mation would lead to the calculation (3 + (4 * 4) + 8)/6 = 27/6 or 4.5 days; 4. a—Having more than one critical path is possible; however, the more activities that exist on the critical path(s), the greater the risk to the project’s sched- ule because delays in any critical activities will delay the completion of the project; 5. c—Allowing for paint to dry before beginning the next activity is an example of a lag relationship occurring between activities.
Integrated Project 363
iNteGrAteD Project
Developing the Project Schedule
Develop an in-depth schedule for your initial project based on the Work Breakdown Structure you have completed. You will need to complete several activities at this stage: (1) create an activity precedence diagram showing the network logic for each project activity you have identified; (2) prepare an activity duration table showing optimistic, likely, and pessimistic activity times for each task; and (3) create both the network diagram and Gantt charts for your project, indicating the criti- cal path and all critical activities, total project duration, and all activities with float.
As you prepare the activity precedence diagram, consider:
1. Have we identified opportunities to create parallel paths or are we placing too many activi- ties directly in a serial path?
2. Is our logic correct for identifying preceding and subsequent activities? 3. Are there some clear milestones we can identify along the precedence diagram?
As you prepare the activity duration table, you might wish to set it up along the following lines:
Duration
Activity optimistic likely Pessimistic est. Duration
A 6 9 18 10
B 3 8 13 8
Finally, in creating the network diagram and Gantt charts, use MS Project or a comparable scheduling software package (see examples in Figures 10.26, 10.27, and 10.28a, b, and c).
Sample Project Schedule, ABCups, inc.
tasks Duration (in days)
Plant manager feasibility request 1
Get technical approval 5
Determine if additional labor needed 4
Research equipment 26
Determine best suppliers 21
Meet with vendors 21
Obtain quotations from vendors 21
Pick equipment vendor 14
Negotiate price and terms 7
Obtain financing for equipment 3
Calculate ROI 3
Obtain required signatures 3
Capital approved 10
Issue purchase order 1
Equipment being built 40
Marketing new process 21
Create mailer 15
Design new brochure 9
Update Web site 9
Lay out plant for new equipment 15
Note: This is a partial activity network and schedule.
364 Chapter 10 • Project Scheduling
Figure 10.27 Partial Gantt chart for ABcups, inc. Project (right Side)
Source: MS Project 2013, Microsoft Corporation.
Figure 10.26 Partial Gantt chart for ABcups, inc. Project (left Side)
Source: MS Project 2013, Microsoft Corporation.
Notes 365
Figure 10.28b Network Diagram for ABcups, inc. Project (Middle)
Source: MS Project 2013, Microsoft Corporation.
Figure 10.28a Network Diagram for ABcups, inc. Project (left Side)
Source: MS Project 2013, Microsoft Corporation.
Figure 10.28c Network Diagram for ABcups, inc. Project (right Side)
Source: MS Project 2013, Microsoft Corporation.
Notes 1. Padgett, T. (2013, May 31). “Expanding the Panama Canal:
The Problem Is Money, Not Mosquitoes,” NPR. www. npr.org/blogs/parallels/2014/05/30/317360379/ expanding-the-panama-canal-the-problem-is-money- not-mosquitoes; Faganson, Z., and Adams, D. (2014, July 14). “Panama Canal cost overrun claim headed to Miami arbitration court,” Reuters. www.reuters. com/article/2014/07/14/us-usa-panamacanal-arbi- tration-idUSKBN0FJ1PA20140714; Johnston, K. (2014, March 16). “Panama Canal expansion to have major impact on Boston,” Boston Globe. www .bostonglobe. com/business/2014/03/15/panama-canal-expansion- have-major-impact-boston-worldwide-shipping/lqz3i- ihcfpHWdTMS9ePDKO/story.html; U.S. Department of Transportation Maritime Administration. (2013). Panama Canal Expansion Study. www.marad.dot. gov/documents/Panama_Canal_Phase_I_Report_- _20Nov2013.pdf; Panama Canal Authority (2006). Proposal for the Expansion of the Panama Canal. www. acp.gob.pa/eng/plan/documentos/propuesta/ acp- expansion-proposal.pdf.
2. Nicholas, J. M. (1990). Managing Business & Engineering Projects. Englewood Cliffs, NJ: Prentice-Hall; Hulett,
D. (1995). “Project schedule risk assessment,” Project Management Journal, 26(1): 23–44; Lock, D. (2000). Project Management, 7th ed. Aldershot: Gower; Oglesby, P., Parker, H., and Howell, G. (1989). Productivity Improvement in Construction. New York: McGraw-Hill.
3. Brooks, F. P., Jr. (1994). The Mythical Man-Month: Essays on Software Engineering, Anniversary Edition. Reading, MA: Addison-Wesley; Cooper, K. G. (1998). “Four failures in project management,” in Pinto, J. K. (Ed.), The Project Management Institute Project Management Handbook. San Francisco, CA: Jossey-Bass, pp. 396–424; Ibbs, C. W., Lee, S. A., and Li, M. I. (1998). “Fast-tracking’s impact on proj- ect change,” Project Management Journal, 29(4): 35–42.
4. Gray, C. F., and Larson, E. W. (2003). Project Management. Burr Ridge, IL: McGraw-Hill.
5. Shtub, A., Bard, J. F., and Globerson, S. (1994). Project Management: Engineering, Technology, and Implementation. Englewood Cliffs, NJ: Prentice-Hall; Navarre, C., and Schaan, J. (1990). “Design of project management systems from top management’s perspective,” Project Management Journal, 21(2), pp. 19–27.
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1 1 ■ ■ ■
Advanced Topics in Planning and Scheduling
Agile and Critical Chain
Chapter Outline Project Profile
Developing Projects Through Kickstarter— Do Delivery Dates Mean Anything?
introduction 11.1 Agile Project MAnAgeMent
What Is Unique About Agile PM? Tasks Versus Stories Key Terms in Agile PM Steps in Agile Problems with Agile
Project MAnAgeMent reseArch in Brief Does Agile Work?
11.2 extreMe ProgrAMMing (xP) 11.3 the theory of constrAints
And criticAl chAin Project scheduling Theory of Constraints
11.4 the criticAl chAin solution to Project scheduling Developing the Critical Chain Activity
Network
Critical Chain Solutions Versus Critical Path Solutions
Project Profile Eli Lilly Pharmaceuticals and Its Commitment
to Critical Chain Project Management 11.5 criticAl chAin solutions
to resource conflicts 11.6 criticAl chAin Project Portfolio
MAnAgeMent Project MAnAgeMent reseArch in Brief
Advantages of Critical Chain Scheduling 11.7 critiques of ccPM Summary Key Terms Solved Problem Discussion Questions Problems Case Study 11.1 Judy’s Hunt for Authenticity Case Study 11.2 Ramstein Products, Inc. Internet Exercises Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand why Agile Project Management was developed and its advantages in planning for certain types of projects.
2. Recognize the critical steps in the Agile process as well as its drawbacks. 3. Understand the key features of the Extreme Programming (XP) planning process for software
projects. 4. Distinguish between critical path and critical chain project scheduling techniques. 5. Understand how critical chain methodology resolves project resource conflicts. 6. Apply critical chain project management to project portfolios.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Rolling Wave Planning Method Sequence Activities (PMBoK sec. 6.2.2.2) 2. Sequence Activities (PMBoK 6.3) 3. Estimate Activity Resources (PMBoK sec. 6.4) 4. Estimate Activity Durations (PMBoK sec. 6.5) 5. Develop Schedule (PMBoK sec. 6.6) 6. Develop Schedule (tools and techniques) (PMBoK sec. 6.6.2) 7. Critical Chain Method (PMBoK sec. 6.6.2.3) 8. Resource Optimization Techniques (PMBoK sec. 6.6.2.4)
Project Profile
Developing Projects through Kickstarter—Do Delivery Dates Mean Anything?
It is no longer the case that creative projects and their developers must convince corporate executives or venture capitalists to invest in their ideas. With the advent of the Kickstarter online platform, entrepreneurs can tap into a new source of funding through a concept known as crowdsourcing. The idea is simple: Set up a website, dem- onstrate the idea, and enlist thousands of enthusiastic supporters to donate money to your vision. To give an idea of just how successful the Kickstarter model has become, since its launch in April 2009, the site has already raised over $1 billion from hundreds of thousands of supporters to successfully fund some 57,000 projects. These projects have ranged from new electronic gadgets, to smartphone apps, to film projects, music recordings, video games, and other creative endeavors. Kickstarter is an all-or-nothing approach: If a project doesn’t reach its funding goal, no one’s credit card is charged. It seems that the Kickstarter model could be the future for successful “guerilla” project development, right?
Unfortunately, the track record of these projects is not so clear-cut. For example, in spite of the 57,000 suc- cessfully funded projects to date, estimates suggest that another 75,000 projects were unsuccessful. Of the “success stories,” a closer examination raises some uncomfortable questions about them. For example, studies have sug- gested that for video games funded through Kickstarter between 2009 and 2012, just 37% were fully launched. Projects in the tech and design categories have seen similar levels of poor results: 75% of these projects experience significant delays in their launch. In fact, investors who pledge cash for a crowdfunded project had better be very patient: A CNNMoney examination of the top 50 most-funded projects on Kickstarter found that 84% missed their target delivery dates.
In examining the causes of these delays, a consistent pattern emerges. A team of ambitious but inexperienced cre- ators will launch a project that they expect to attract a few hundred backers. Instead, the idea takes off, raising more— often a lot more—money than anticipated, and at the same time destroying the original production plans and timeline.
For example, consider Oculus Rift, a virtual reality headset designed by 20-year-old Palmer Luckey. He planned to make a few hundred headsets by hand. Then Kickstarter backers pre-ordered 7,500 units.
“In the first 24 hours, everyone is happy and slapping your hand,” says Oculus CEO Brendan Iribe. “And 48 hours later, the reality sets in. There’s a bit of fear: We’re going to have to make all of these.”
This unexpected success comes with serious strings attached; these developers have not thought their projects through to the delivery stage and certainly not for the volume of interest they attract. When plans get pushed, not all financial supporters are understanding. Oculus Rift was supposed to launch in November 2012—just two months after its Kickstarter campaign ended—but the shipping dates have been steadily eroding, as technical and production problems have slowed down delivery. Current plans are to have a consumer version of its virtual reality headset in stores by 2016.
“Kickstarter should alter their rules to include a section that limits postponing the delivery date,” backer Martin F wrote on Oculus Rift’s Kickstarter page. “If you postpone by 100% of the original delivery date, you are a scam.”
The most common reasons that new projects did not meet their delivery dates include:
1. Manufacturing obstacles—creative originators of project ideas rarely give serious thought to the challenges of devel- oping and delivering those projects, including the steps needed for production scheduling and quality management.
2. Shipping—although shipping sounds like a simple process, for large batches of promised deliveries worldwide, it can quickly become a nightmare. There are examples of companies that stopped all work and brought their entire staff, including programmers, to the loading dock just to pack their products for shipping.
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(continued)
368 Chapter 11 • Advanced Topics in Planning and Scheduling
IntroductIon
Scheduling approaches that rely on CPM/PERT are generally accepted as standard operating procedure by most project‐based organizations. Complications often occur, however, when we begin linking resource requirements or revised and changing customer needs to our devel- oped schedules. As we will see in Chapter 12, the problem of constrained resources often reduces the flexibility we may have to create an optimal project schedule. Likewise, we noted earlier in the text that a critical goal of all projects is customer satisfaction with the finished project. Unfortunately, rigid project plans and schedules often do not allow the project team to maximize client satisfaction or make best use of limited resources. In recent years, however, two developments in project planning and scheduling have led to some important improve- ments in how we deliver projects: Agile Project Management and critical chain Project Management (ccPM). Agile has become widely employed, particularly in the software and new product development industries, as a means for better linking project development with critical stakeholders, including customers and top management. Critical Chain, developed in the mid‐1990s by Dr. Eli Goldratt, offers some important differences and advantages over more commonly used critical path methodologies. Lucent Technologies, Texas Instruments, Honeywell, and the Israeli aircraft industry are among a diverse group of major organiza- tions that have found the underlying premises of CCPM intriguing enough to begin dissemi- nating the process throughout their project operations.2
This chapter will explore in detail some of the important components of Agile project management and Critical Chain. We will see how, as supporters contend, these alternative scheduling mechanisms improve stakeholder satisfaction, promise to speed up project delivery, make better use of project resources, and more efficiently allocate and discipline the pro- cess of implementing projects. The Agile methodology represents a unique and very promis- ing means to improve the way projects are planned and developed, using an iterative cycle with intriguing ideas like “Sprints” and “Scrums.” We will also discuss a variant of the Agile
3. Volume—successful project developers are nearly always unprepared for the level of interest in their products and grossly underestimate the numbers they will have to create. As a result, their supply chain sourcing is not well planned, resulting is serious delays.
4. Apple’s “curve ball”—Apple Corporation nearly single-handedly destroyed the production schedules of hundreds of new projects when they redesigned their “Lightning connector” for powering their products. These smaller entre- preneurs were so dependent on working off Apple’s technology that any major shifts for the tech giant had serious repercussions for their delivery plans.
5. Changing scope—raising more money than expected sounds like a blessing but some firms used this extra funding as an excuse to drastically change the scope of the original project, opting for more expensive or expansive designs, technology, or materials. All these changes lead to serious delivery delays.
6. Certifications—any new device, such as a smartphone app, linked to the Apple iPhone has to receive the company’s permission. Sometimes technologies must be approved for use by governmental agencies. These certifications all take time and delay the project.
7. Kickstarter’s infrastructure—Kickstarter does not require that financial backers submit their addresses when they make pledges; all contact information has to be sought by the companies themselves at a later date. It is time- consuming and difficult to track down every investor and some have complained that the Kickstarter site functions more like a social network than an e-commerce Web site like eBay or Amazon.
8. Overseas logistics—a significant portion of Kickstarter’s project investors are from other countries, making the deliv- ery process (and costs associated with it) complicated. For example, once a Kickstarter campaign has closed, creators can’t use Kickstarter’s payment system to collect extra payments from their backers. That requires project developers to go back and solicit additional money to pay for the higher cost of overseas shipping.
Although Kickstarter offers fledgling entrepreneurs an opportunity to develop their projects without the oversight and financial commitment that comes from working for larger corporations, it also takes these creative people outside of their comfort zone when they are required to actually complete and deliver their project ideas within the promised timeframe. For many project developers, this has not been a problem; Kickstarter has proven to be an excellent source of funding and creative support. Kickstarter takes a 5% cut of each funded project, but it makes clear in its service terms that it isn’t responsible for anything that happens after the cash changes hands. It won’t get involved in disputes between users. As a result, for investors in these projects, the message can be summed up: Buyer beware.1
11.1 Agile Project Management 369
model used in software development, referred to as Extreme Programming (XP). A key fea- ture of Agile and CCPM is that they represent both a cultural shift and a change in planning and scheduling processes. In practice, if either the Agile or CCPM methods are to be correctly applied, important technical and behavioral elements must be understood in relation to each other. The chapter will focus on these aspects of the process.
11.1 AgIle Project MAnAgeMent
In recent years, a new project planning methodology has become increasingly important as organi- zations recognize that the traditional, highly structured approach to planning and managing proj- ects may not be as effective for all types of projects. This realization is particularly true in the fields of information technology (IT) and new product development, where the end result may be impos- sible to fully visualize because of changing customer needs or consumer tastes. As a result, many organizations value flexibility in their project development practices, the ability to react quickly to opportunities or the need for changes mid-stream. Agile Project Management (Agile PM) reflects a new era in project planning that places a premium on flexibility and evolving customer require- ments throughout the development process. Agile PM differs from traditional project management in a number of ways, but most particularly through recognizing that the old approach of carefully “planning the work and then working the plan” does not take into account the reality of many modern projects; that is, customer needs may evolve and change over the course of the project. Following the original plan that made sense when the project started would make no sense as the project progresses through the execution stage. Agile PM recognizes the importance of these evolving customer needs and allows for an incremental, iterative planning process—one that stays connected to clients across the project life cycle.
Agile PM offers an alternative to the traditional, waterfall planning process, which uses a linear, sequential life cycle model (see Figure 11.1). In the waterfall process, the assumptions that
Gather requirements
Design system
Implement system
Test system
Full deployment
Maintenance
Project Termination
Project Start
FIgure 11.1 Waterfall Model for Project Development
370 Chapter 11 • Advanced Topics in Planning and Scheduling
guide project planning and development follow a logical series of steps. So, for example, in our waterfall model, each stage in this software development process occurs sequentially, following completion of the previous stage; first requirements are fully gathered, then the system is designed, implemented, and tested. Finally, it is fully deployed and subject to maintenance. In a waterfall model, each phase must be completed fully before the next phase can begin. At the end of each phase, a review takes place to determine if the project is on the right path and whether or not to continue or discard the project. In the waterfall model phases do not overlap. The waterfall project development process works well when:
• Requirements are very well understood and fixed at the outset of the project. • Product definition is stable and not subject to changes. • Technology is understood. • Ample resources with required expertise are available freely. • The project is of relatively short duration.
But what happens if requirements change in the middle of the project’s development? Or the customer delivers a new set of “critical” features that have to be part of the final product? Or when a new technological innovation allows our team to streamline the software we are working on to make it more user-friendly? What if the initial assumptions or project scope were poorly communicated or a competitor beats us to the market with the identical product? Under these circumstances, the decision to agree to a fully articulated project scope, set in stone at the outset of the project, can lead to critical problems. With more and more projects supporting new product development initiatives that need the flexibility to change course midstream, the waterfall model can lead to a rigid process that will not deliver value to the customer, either because their needs are constantly changing or because they did a poor job of initially articulating exactly what the project was supposed to do. It is to address these critical issues that Agile PM was created.
What Is unique About Agile PM?
Traditional project management establishes a fairly rigid methodology. As we remember from Chapter 1, the project life cycle suggests that conceptualization and planning occur at the start of the project. Conceptualization includes building a business case for the project (Why are we doing this? What do we wish to create? Can we make a profit or create value?) as well as identifying key project stakeholders. Planning focuses on creating the actual schedules and specifications for the project. In this traditional project management model, these critical activities are expected to happen early and be addressed comprehensively, but once completed they are considered done; in other words, it’s now time to move onto the project execution. Underlying this traditional approach is the assumption that project members can identify risks (assume minimal uncertainty) and work their previously developed plans (assume maximum stability).
For many types of projects—short term, small scope, construction, event planning, and process improvement—these traditional project assumptions are not wrong. Projects with limited or narrow goals or those that will complete quickly generally do not suffer from significant problems of uncer- tainty. Their short timeframe minimizes environmental disruptions. Likewise, construction, current product upgrades, event planning, and other types of projects with clear goals and standard pro- cesses for completion can be carefully planned, have their costs accurately estimated, and schedules reasonably developed. Traditional project planning techniques do work well with certain classes of project or in certain situations. However, the more unpredictable the environment, including having to take into account changing customer tastes, the challenge of disruptive technologies, complex development processes, and long time frames, the greater the likelihood that the traditional project planning approach, which assumes stability and predictable development, will not succeed.
It is to address the problems with traditional project planning that innovative new techniques like Agile were first developed. Agile PM, usually referred to as scrum, recognizes the mistake of assuming that once initial project conceptualization and planning are completed, the project can simply be executed to original specifications, and thus ensure the completed project will be a “suc- cess.” For example, software projects are prone to constant change. Yet, when clients are expected to finalize all requirements and wait for an extended period before even viewing prototypes, the likelihood is extremely high of creating projects greeted by, “That’s not what I wanted!” Creating a plan and then disengaging from the customer during its development may be a traditional
11.1 Agile Project Management 371
approach to project management but it is dangerous with technologically complex or uncertain projects. Agile PM is a flexible, iterative system designed for the challenge of managing projects in the midst of constant change and uncertainty, so it moves the planning function from its traditional up-front location in the project life cycle to occur throughout project development. In effect, Agile PM makes development a “rolling wave” process of continuous plan–execute–evaluate cycles across project development (see Figure 11.2). The goal of each wave in Scrum is to create incremen- tal value, through steadily developing subfeatures or elements in the overall project. The length of these development iterations is kept deliberately short (from one to four weeks)—long enough to create some valuable addition to the project that customers can evaluate but short enough to remain in constant communication and respond to immediate requests or requirements modifica- tions. Following each development cycle, a review meeting occurs in which project features are evaluated, changes agreed to, specifications modified, and next deliverables identified.
To illustrate with a software project example, Agile PM reduces the complexity and uncer- tainty of an inefficient and costly traditional approach by avoiding the common mistake of a months-long process of building requirements for the overall project, finishing the product and then testing it to find hundreds of bugs and unneeded or nonworking features. Instead, smaller but still usable subfeatures or portions of the software project would be completed one at a time, tested and verified, all in shorter time periods. In this case, any changes to the software are not hugely expensive in terms of either time or money.
Scrum originated in the quality work of Takeuchi and Nonaka,3 who promoted a holistic method for new product development. In their model, they argued that development teams must work as an integrated unit to reach their goals. The traditional, sequential approach is sometimes referred to as “over the fence” because it illustrates a model where each functional group adds something to the product and then, when finished with their efforts, tosses the project “over the fence” to the next functional group that is expected to continue the development process. This method slows down new product development, leads to the failure to capture critical product features, encourages miscommunication and functional rivalries, and hugely increases the costs of fixing products late in their development cycle, when technical errors and feature misunderstand- ings can lead to failed projects and wasted money.
Instead of running a “relay race,” Takeuchi and Nonaka encouraged project organiza- tions to look to a different sport—rugby—in order to develop the right mindset for creating new products. The old approach, they argued, consisted of passing off the project develop- ment “baton” to the next group in the relay and moving toward the finish line with minimal interplay between development partners or the chance to work together in a coordinated, interdis- ciplinary way. Rugby, on the other hand, emphasizes adaptation, flexibility, and the coordinated efforts of multiple players, all working to the same purpose, but adjusting and modifying their efforts as the project proceeds. The whole process is performed by one cross-functional team across multiple overlapping phases, where the team “tries to go the distance as a unit, passing the ball back and forth.”4
tasks Versus Stories
One of the critical differences between Agile and traditional project planning relates to the nature of the roles that key members assume. In a traditional project planning process, the project devel- oper’s viewpoint is considered most important. Developers are looking at the project from the
Iteration 1 Iteration 2
Project Start
Iteration 3 Iteration 4 Iteration 5 Iteration 6
Project Termination
The “Sprint”
Time Box 1−4 weeks
FIgure 11.2 Scrum Process for Product Development
372 Chapter 11 • Advanced Topics in Planning and Scheduling
inside perspective; that is, how long will development take? How many work packages and tasks are necessary to complete the project? Project developers are interested in tasks because they allow them to accurately and efficiently plan the work and build their cost estimates. The more detailed and specific the project is made, the easier it is to create these plans and estimates.
User stories are different and very important for understanding the real needs of the client (the “voice of the customer”). They are written by or for customers as a means for influencing the development of the functionality of the product. The more the customer can explain what they do, what they need, and how they can make use of the product to do their job better, the clearer the user story becomes and the better able the Scrum team will be to achieve these goals. Stories have value because they identify the actual work that needs to be done with the com- pleted product or system. Once stories have been validated, they can then be decomposed into tasks. The key lies in recognizing the need to first listen to user stories to identify the specific value-added the project will provide. For example, a project that ignores the voice of the cus- tomer can be well-managed, brought in on time and under budget, but provide no real value to the customer because it was done without regard to first identifying critical user stories (what they need to do their job better).
Another Agile characteristic that demonstrates the importance of the voice of the customer is the emphasis on product features, as opposed to creating a detailed product WBS. We assume in an Agile environment that project scope characteristics are inevitably going to change over the course of the project’s development. As a result, it makes little sense to invest heavily in time and effort to develop a sophisticated statement of scope for the overall product. Instead, Agile focuses on getting the product features right: the pieces of the product that deliver functional value to the customer. Listening for customers’ stories and defining the project’s critical deliverables in terms of features reinforces the critical nature of the ongoing, closely linked relationship the Scrum team must maintain with clients.
Key terms in Agile PM5
sprint—A Sprint is one iteration of the Agile planning and executing cycle. So, the Sprint represents the actual “work” being done on some component of the project and must be com- pleted before the next Scrum meeting. scrum—In the sport of rugby, a “scrum” is the restarting of the game following a minor infraction. In Agile PM, Scrum refers to the development strategy agreed to by all key mem- bers of the project. Scrum meetings involve assessing the current status of the project, eval- uating the results of the previous Sprint, and setting the goals and time-box for the next iteration. time-box—A time-box is the length of any particular sprint and is fixed in advance, during the Scrum meeting. As we mentioned, time-boxes typically vary between one and four weeks in length. User stories—A short explanation, in the everyday language of the end user that captures what they do or what they need from the project under development. The goal of the user story is to gain their perspective on what a correctly developed product will do for them. scrum Master—The Scrum Master is the person on the project team responsible for moving the project forward between iterations, removing impediments, or resolving differences of opinion between the major stakeholders. The Scrum Master does not have to be the project manager but does have a formal role in enforcing the rules of the Scrum process, including chairing important meetings. Scrum Masters are focused solely on the Agile project develop- ment process and do not play a role in people management. sprint Backlog—A Sprint Backlog is the set of Product Backlog items selected for the Sprint, plus a plan for delivering the Sprint Goal. The Sprint Backlog is a forecast by the develop- ment team about what functionality will be in the next time-box increment and the work needed to complete that functionality. The team controls the Sprint Backlog. Burndown chart—The Sprint Burndown Chart shows remaining work in the Sprint back- log. Updated every day and displayed for all Scrum members to see, it provides a quick refer- ence of the Sprint progress.
11.1 Agile Project Management 373
Product owner—The person representing the stakeholders and serving as the “voice of the customer.” The product owner may be a member of the project organization but must take the “outside,” user’s viewpoint in representing customer needs. The product owner creates user stories that identify their specific needs for the product. development team—The organizational unit responsible for delivering the product at the end of each iteration (Sprint). Typically, the development team is cross-functional and self- organizing; that is, they collectively determine the best way to achieve their goals. Product Backlog—The Product Backlog is a prioritized list of everything that might be needed in the completed product and is the source of requirements for any changes to be made to the product. The Product Backlog is never “final”; it evolves as the product and the business setting in which it will be used evolve. It constantly changes to identify what the product needs to be appropriate, competitive, and useful. The product owner controls the Product Backlog. work backlog—The evolving, prioritized queue of business and technical functionality that needs to be developed into a system.
Steps in Agile6
The Agile process follows a series of steps that allow the methodology to combine the flexibil- ity needed to respond to customer needs with a formal process that creates a logical sequence in employing Agile planning. The Scrum process involves a set of meetings that manage the project development process through (1) Sprint Planning, (2) Daily Scrums, (3) the Development Work, (4) Sprint Review, and (5) Sprint Retrospective (see Figure 11.4). During the Sprint, three guidelines shape the process:
1. No changes are made that would endanger or modify the Sprint goal. Once goals for the Sprint are agreed to, they are not to be altered in the middle of the Sprint.
2. Quality goals do not decrease. During the Sprint, the team cannot modify the goals or sacri- fice quality standards that were first agreed to.
3. Scope may be clarified and renegotiated between the product owner and the development team as more is learned. As the team discovers technical problems or opportunities during the Sprint, they are passed to the product owner for consideration on whether or not to mod- ify the project scope.
Scrum Owner
Scrum Team
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Product Owner
FIgure 11.3 Members of the Scrum team
374 Chapter 11 • Advanced Topics in Planning and Scheduling
Sprint Planning
The work to be performed in the Sprint is identified during the Sprint Planning session. This plan is created by the collaborative work of the entire Scrum team. Sprint Planning is time- boxed to a maximum of one full day (eight hours) for a one-month Sprint. For shorter Sprints, less time is required for Sprint Planning. The Scrum Master ensures that the event takes place and that all members of the Scrum team understand its purpose. The Sprint Planning session introduces the Sprint Backlog to the development team and coordinates their efforts to achieve the Backlog items.
Sprint Planning answers the following questions:
• What can be delivered in the increment (time-box) resulting from the upcoming Sprint? • How will the work needed to deliver the increment be achieved?
daily Scrums
The Daily Scrum is a short (15 minutes) event that allows the development team an opportunity to synchronize their activities and create a plan for the next 24-hour time window. During the meeting, members of the development team explain what they accomplished in the past 24 hours to meet the Sprint goal, what they intend to work on during the current day, and identify any problems that might prevent the development team from completing the next Sprint goal. Daily Scrum sessions are for information purposes; they are only intended to keep team members in the communications loop and identify any positive or negative trends affecting the project. Daily Scrums also include reference to the Burndown Chart, detailing the latest information on the status of Backlog items completed (“burned down”) since the last Scrum meeting.
the development Work
The Development Work is the time when the actual work of the project is being done during the Sprint. These are the set of goals that must be achieved during the Sprint and are represented on the Burndown Chart as either in progress or completed. Development Work must be heavily coor- dinated between Scrum team members to ensure that no efforts are being wasted or work is being done on non-Sprint items. Figure 11.5 shows an example of a Burndown Chart for a Sprint that assumes the following details:
• Sprint duration – 15 days • Team size – 5 members • Hours/day – 8 • Total capacity – 600 hours
3. Development Work
4. Sprint Review
1. Sprint Planning
2. Daily Scrums
5. Sprint Retrospective
Sprint Time Box (1−4 weeks)
FIgure 11.4 Stages in a Sprint
11.1 Agile Project Management 375
Sprint reviews
A Sprint Review is held at the end of the Sprint to inspect the completed increment (the Sprint Backlog) and make changes to the Product Backlog if needed. During the Sprint Review, the Scrum team and other key stakeholders work closely to verify what was done on the Sprint. Based on these results and any subsequent changes to the Product Backlog, the Scrum team now plans the next things to be done in order to add value, including product features that need completing or modifying. Sprint Reviews are informal meetings; they are not status meetings, and the presenta- tion of the completed Sprint Backlog is only to encourage team feedback and encourage collabo- ration. The result of the Sprint Review meeting is a modified Product Backlog and an idea of the Sprint Backlog items that will be addressed in the next Sprint. During the Sprint Review, the activi- ties to be addressed include the following:7
• The product owner explains what Product Backlog items have been completed and what has not yet been completed.
• The development team discusses what went well during the Sprint, what problems it ran into, and how those problems were solved.
• The development team demonstrates the work that it has finished and answers questions about the latest Sprint.
• The product owner discusses the Product Backlog as it stands. He projects likely completion dates based on progress to date (if needed).
• The entire group collaborates on what to do next, so that the Sprint Review provides useful input to subsequent Sprint Planning.
• Review how the marketplace or potential use of the product might have changed the next most valuable thing to complete.
• Review the timeline, budget, potential capabilities, and marketplace for the next anticipated release of the product.
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FIgure 11.5 Sample Burndown chart for Day 9 of a Sprint
376 Chapter 11 • Advanced Topics in Planning and Scheduling
Sprint retrospective
The Sprint Retrospective is a meeting that is held to evaluate how the previous Sprint went; what worked, what didn’t work, and where potential improvements can be made to the Sprint process. A valuable Sprint Retrospective should also include an action plan for identifying and implementing improvements to the process. The Scrum Master works with the Scrum team to constantly improve communications and identify improvements that will be introduced during the next Sprint. In this way, each Sprint is not only about getting the work (the Product Backlog) done, it is also used to generate enthusiasm for the next Sprint while creating a more efficient and productive team.
Problems with Agile
Agile offers many advantages to project planners and developers, particularly within classes of project for which the goals of Agile are most relevant, such as IT project management or new prod- uct development. However, some disadvantages to the Agile methodology have to be considered as well. These disadvantages include:8
1. Active user involvement and close collaboration of the Scrum team are critical throughout the development cycle. This requirement is very time-demanding of all parties involved and requires users to commitment to the process from start to finish.
2. Evolving requirements can lead to the potential for scope creep throughout the development, as new options or changes during Sprints can result in a never-ending series of requested changes by the user.
3. Because of emerging requirements and the flexibility to make changes midstream, it is harder to predict at the beginning of the project what the end product will actually resemble. This can make it hard to make the business case for the project during the conceptualization phase or negotiate fixed-price contracts with customers or vendors.
4. Agile requirements are kept to a minimum, which can lead to confusion about the final out- comes. With the flexibility to clarify or change requirements throughout the project develop- ment, there is less information available for team members and users about project features and how they should work.
5. Testing is integrated throughout the lifecycle, which adds to the cost of the project because the services of technical personnel such as testers are needed during the entire project, not just at the end.
6. Frequent delivery of project features (the Sprint Backlog) throughout the project’s incremen- tal delivery schedule means that testing and signing-off on project features is nearly continu- ous. This puts a burden on product owners to be ready and active when a new set of features emerges from the latest Sprint cycle.
7. If it is misapplied to projects that operate under high predictability or a structured develop- ment process, the requirements of Agile for frequent rescoping or user input can be an expen- sive approach without delivering benefits.
Box 11.1
Project Management research in Brief
Does Agile Work?
The principles of Agile have been in existence for over 20 years, have been introduced and used in numerous organizations to streamline project development, and have been generally applauded as a sound planning and executing philosophy. Nevertheless, while anecdotal evidence suggests that Agile does lead to shorter development times and better, more customer-friendly outcomes, there is little empirical research that sup- ports the claims that Agile PM does, in fact, work better than traditional project planning methods for some classes of project. A recent study of over 1,000 projects from a variety of settings—information technology (IT), software, construction, manufacturing, health care, and financial services—found that the “degree of Agile” in the company’s project planning significantly affected project success. Projects that used higher levels of planning across the entire life cycle (the Scrum/Sprint iteration process) developed projects that performed better on meeting budget and schedule targets, as well as experienced higher levels of customer satisfaction.9
11.3 The Theory of Constraints and Critical Chain Project Scheduling 377
11.2 extreMe ProgrAMMIng (xP)
extreme Programming (XP) is a more aggressive form of Scrum and is a software development methodology intended to improve software quality and responsiveness to changing customer requirements.10 Originally developed by programmer Kent Beck for Chrysler Corporation, XP is deceptively simple in its core principles, which include an emphasis on keeping the programming code simple, reviewing it frequently, testing early and often, and working normal business hours. XP also adopts Agile’s emphasis on the importance of user stories as a means for understanding their real needs, not a programmer’s interpretation of a rigid scope statement. XP takes its name from the idea that innovative and beneficial elements of software engineering practices are taken to “extreme” levels with this approach.
Two of the guiding features of XP are the process of refactoring and pair programming. In order to speed software development, functional testing of all requirements is done before cod- ing begins and automated testing of the code is performed continuously throughout the project. Refactoring is the continuous process of streamlining the design and improving code; not wait- ing until final testing to edit and fix code. Another controversial feature of XP is the philosophy of pair programming. In XP, all code is written in collaboration between pairs of programmers, who work side-by-side on the same machine during coding. Pair programming can help pro- grammers resolve issues and clarify interpretation of user stories that drive the requirements. XP also requires constant communication between customers and the developer team. In fact, it has been suggested that project teams should never number more than 12 developers working in pairs. Other elements of Extreme Programming include avoiding programming of features until they are actually needed, a flat management structure, simplicity and clarity in code, expecting changes in the customer ’s requirements as time passes and the problem is better understood, and frequent communication with the customer and among programmers. As originator Kent Beck notes:11
“The basic advantage of XP is that the whole process is visible and accountable. The developers will make concrete commitments about what they will accomplish, show con- crete progress in the form of deployable software, and when a milestone is reached they will describe exactly what they did and how and why that differed from the plan. This allows business-oriented people to make their own business commitments with confi- dence, to take advantage of opportunities as they arise, and eliminate dead-ends quickly and cheaply.”
Agile PM (and XP) have grown out of the need to combine the discipline of a project man- agement methodology with the needs of modern enterprises to respond quickly to opportuni- ties, promote an internal operating environment of communication and collaboration, and remain connected and committed to customers. For many types of projects, Agile PM offers a means to streamline project development processes while improving bottom line results. By decreasing the costs of rework from misunderstood or changing customer requirements, Agile PM has been dem- onstrated to save project organizations money while improving customer relations and encourag- ing functional groups within the organization to work together in a cooperative manner. All in all, the Agile planning philosophy offers numerous advantages for organizations developing new products rapidly and cost-effectively.
11.3 the theory oF conStrAIntS And crItIcAl chAIn Project SchedulIng
In practice, the network schedules we constructed in the previous two chapters, using PERT and probabilistic time estimates, are extremely resource dependent. That is, the accuracy of these esti- mates and our project schedules are sensitive to resource availability—critical project resources must be available to the degree they are needed at precisely the right time in order for the schedule to work as it is intended. One result of using “early-start” schedules is to make project managers very aware of the importance of protecting their schedule slack throughout the project. The more we can conserve this slack, the better “buffer” we maintain against any unforeseen problems or resource insufficiency later in the project. Thus, project managers are often locked into a defensive
378 Chapter 11 • Advanced Topics in Planning and Scheduling
mode, preparing for problems, while they carefully monitor resource availability and guard their project slack time. The concept of theory of constraints as it is applied to Critical Chain Project Management represents an alternative method for managing slack time and more efficiently employing project resources.
theory of constraints
Goldratt originally developed the theory of constraints (TOC), first described in his book The Goal (1984), for applications within the production environment.12 Among the more important points this author raised was the idea that, typically, the majority of poor effects within busi- ness operations stem from a very small number of causes; that is, when traced back to their origins, many of the problems we deal with are the result of a few core problems. The main idea behind TOC is the notion that any “system must have a constraint. Otherwise, its output would increase without bound, or go to zero.”13 The key lies in identifying the most central constraint within the system. Five distinct steps make up the primary message behind TOC methodology (see Figure 11.6):
1. Identify the system constraint. First, an intensive search must be made to uncover the prin- cipal constraint, the root cause, that limits the output of any system. It is important to not get bogged down in identifying numerous secondary causes or “little problems.”
2. Exploit the system constraint. Once the constraint is identified, a strategy for focusing and viewing all activities in terms of this constraint is necessary. For example, if the constraint within a software development firm is having only one advanced application programmer, the sequence of all project work to be done by the programmer has to be first scheduled across the organization’s entire portfolio of active projects.
3. Subordinate everything else to the system constraint. Make resource commitment or sched- uling decisions after handling the needs of the root constraint. Using the above example, once the “critical resource constraint” of one programmer has been identified and the pro- grammer’s time has been scheduled across multiple projects, the rest of the project activities can be scheduled.
4. Elevate the system constraint. The first three steps acknowledge that the system constraint limits an organization’s operations. According to Goldratt, the fourth step addresses improve- ment of the system by elevating the constraint, or seeking to solve the constraint problem by eliminating the bottleneck effect. In our software-programming example, this may mean hiring an additional advanced applications programmer. For many project-based examples, “elevating the system constraint” may be as simple as acquiring additional resources at opportune times.
1. Identify the system constraint
2. Exploit the system constraint
5. Reevaluate the system
3. Subordinate everything else to the system constraint
4. Elevate the system constraint
FIgure 11.6 five Key Steps in theory of constraints Methodology
11.4 The Critical Chain Solution to Project Scheduling 379
5. Determine if a new constraint has been uncovered, and then repeat the process. Clearly, the removal of the key system constraint will lead to positive advantages for a time. Since there is always a system constraint, however, removing one constraint is only likely to identify a new source of constraint for the operation. TOC argues for the need to always prepare for the next potential problem before it becomes too serious, so this final step is really only one step in a continuous improvement cycle.
When examining a project schedule from the perspective of TOC methodology, we focus on the key system constraint, that is, the one root cause from which all other scheduling problems evolve. The system constraint for projects is initially thought to be the critical path. Remember, the critical path is defined as the earliest possible time on the activity network it can take to complete a project. If activities on the critical path are delayed, the effect is to cause delays in the overall project. Critical path is determined by the series of activities whose durations define the longest path through the network and therefore identify the project’s earliest possible completion. Goldratt notes that all scheduling and resource problems associated with projects typically occur due to problems with trying to maintain the critical path, and hence its oft-made identification as the chief system constraint.14
11.4 the crItIcAl chAIn SolutIon to Project SchedulIng
Goldratt’s solution to the variables involved in project scheduling involves the aggregation, or col- lectivizing, of all project risk in the form of uncertain duration estimates and completion times. The aggregation of risk is a well-known phenomenon in the insurance business.15 The central limit theorem states that if a number of probability distributions are summed, the variance of the sum equals the sum of the variances of individual distributions. This formula is given, where there are n independent distributions of equal variance V, as:
VΣ = n * V
where V∑ is the variance of the sum. The standard deviation s can be used as a surrogate for risk, and since s2 = V, we find:
sΣ = (n) 1/2 * s
where sΣ is the standard deviation of the sum. Therefore:
sΣ 6 n * s
Mathematically, the above formula illustrates the point that aggregating risks leads to a reduction in overall risks.
This same principle of aggregation of risks can be applied in a slightly different manner to the critical chain methodology. We have used the term safety or project buffer to refer to the contingency reserve for individual activities that project managers like to maintain. When we aggregate risk, this reserve is dramatically reduced so that all activity durations are realistic but challenging. That is, rather than establish duration estimates based on a 90% likelihood of successful completion, all activity durations are estimated at the 50% level. The provision for contingency, in the form of project safety, is removed from the individual activities and applied at the project level. Because of the aggregation concept, this total buffer is smaller than the sum of the individual project activity buffers. Thus project duration is reduced.
Apple Computer Corporation’s recent success story with its iPad tablet illustrates some of the advantages to be found in aggregating risks. Apple made a conscious decision with the iPad to subcontract most of the components of the product to a variety of suppliers. The company determined that to engineer the entire product would have been a complex and risky alternative. Instead, it contracted with a number of suppliers who had produced proven tech- nology. The decision to combine these product components from other sources, rather than manufacture them in-house, led to a much faster development cycle and greatly increased profitability.16
380 Chapter 11 • Advanced Topics in Planning and Scheduling
Two fundamental questions to be answered at this point are: Exactly how much is the project’s duration reduced? How much aggregated buffer is sufficient? Goldratt and his adherents do not advocate the removal of all project buffer, but merely the reapplication of that buffer to a project level (as shown in Figure 11.7). The determination of the appropriate amount of buffer to be main- tained can be derived in one of two ways: (1) a “rule of thumb” approach that Goldratt suggests, namely, retain 50% of total project buffer; and (2) a more mathematically derived model suggested by Newbold (1998):17
Buffer = s = [((w1 - a1)/2)2 + ((w2 - a2)/2)2 + c + ((wi - ai)/2)2]1/2
where wi is the worst-case duration and ai is the average duration for each task that provides part of the aggregated buffer value. The presumed standard deviation would be (wi − ai)/2. Suppose, for example, that the project team sought a buffer that is 2 standard deviations long. The formula for calculating an appropriate buffer length is:
Buffer = 2 * s = 2 * [((w1 - a1)/2)2 + ((w2 - a2)/2)2 + c + ((wi - ai)/2)2]1/2
Let us assume, for example, that we have three tasks linked together, each of 20 days in length. Thus, the worst case (wi) for these durations is the original 20 days. Further, by aggregating the buffer based on a 50% solution, our ai value is 10 days for each activity. We can solve for the appro- priate buffer size (two standard deviations) by:
Buffer = 2((201 - 101)2 + (202 - 102)2 + (203 - 103)2) = 1300, or 17.32 days
Visually, we can understand the application of CCPM in three distinct phases. First, all relevant project tasks are laid in a simplified precedence diagram (shown on line 1 in Figure 11.7), with antic- ipated durations specified. Remember that the original duration estimates have most likely been based on high probability of completion estimates and therefore require a reexamination based on a more realistic appraisal of their “true” duration. The second step consists of shrinking these duration estimates to the 50% likelihood level. All individual task safety, or buffer, has been aggregated and now is given as the project-level buffer.
At this stage, the overall length of the project has not changed because the individual task buffer is simply aggregated and added to the end of the project schedule. However, line 3 illustrates the final step in the reconfiguration, the point where the project buffer shrinks by some identifiable amount. Using the rule of thumb of 50% shrinkage, we end up with a project
Step #1 #2
#2
#2
#3
#3
#4
#4
Project Buffer
Project Buffer
#1
#1
#3 #4
FIgure 11.7 reduction in Project Duration After Aggregation
Source: L. P. Leach. (1999). “Critical chain project management improves project performance,” Project Management Journal, 30(2), 39–51, figure on page 44. Copyright © 1999 by Project Management Institute Publications. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
11.4 The Critical Chain Solution to Project Scheduling 381
schedule that is still significantly shorter than the original. This modified, shortened sched- ule includes some minor slack for each activity. As a result, CCPM leads to shortened project schedules.
Suppose that a project activity network diagram yielded the initial values given in Table 11.1. Note that the modified network shortens the overall project duration by 22 days, from the original 40 to 18. Because all risk is now aggregated at the project level, there are a total of 22 days of poten- tial slack in the schedule resulting from shrinking activity estimates at each project step. A CCPM- modified project schedule would reapply 11 days of the acquired schedule shrinkage to serve as overall project buffer. Therefore, the new project schedule will anticipate a duration estimated to require 29 days to completion.
What are the implications of this reapplication of project slack to the aggregated level? First, all due dates for individual activities and subactivities have been eliminated. Milestones are not used in the CCPM activity network. The only firm commitment remains to the project delivery date, not to the completion of individual tasks. Project team members are encouraged to make realistic estimates and continually communicate their expectations. Clearly, in order for CCPM to work, a corporate culture that supports a policy of “no blame” is vital. Remember, the nature of requiring 50% likelihood estimates for individual activity durations implies that workers are just as likely to miss a commitment date as to achieve it. Under a culture that routinely punishes late performance, workers will quickly reacquire the habits that had once protected them—inflated estimates, wasting safety, and so forth.
A second implication may be more significant, particularly when dealing with external sub- contractors. Because individual activity dates have been eliminated and milestones are scrapped, it becomes problematic to effectively schedule subcontractor deliveries. When subcontractors agree to furnish materials for the project, they routinely operate according to milestone (calendar) delivery dates. CCPM, with its philosophy that deemphasizes target dates for individual tasks, creates a complicated environment for scheduling necessary supplier or subcontractor deliveries. Writers on CCPM suggest that one method for alleviating this concern is to work with contractors to negotiate the early completion and delivery of components needed for critical activities.18
developing the critical chain Activity network
Recall from earlier chapters that with traditional CPM/PERT networks, individual activity slack is an artifact of the overall network. Activity start time is usually dictated by resource availability. For example, although an activity could start as early as May 15, we may put it off for three days because the individual responsible for its completion is not available until that date. In this way, float is used as a resource-leveling device.
With CCPM, resource leveling is not required because resources are leveled within the proj- ect in the process of identifying the critical chain. For scheduling, therefore, CCPM advocates put- ting off all noncritical activities as late as possible, while providing each noncritical path in the network with its own buffer (see Figure 11.8). These noncritical buffers are referred to as feeder buffers because they are placed where noncritical paths feed into the critical path. As Figure 11.8 demonstrates, a portion of the critical path and one of the noncritical feeder paths join just past the point of activity C. Feeding buffer duration is calculated similarly to the process used to create the overall project buffer, attached to the end of the critical chain.
tAble 11.1 critical chain Activities time reductions
Activity original estimated
Duration Duration Based
on 50% Probability
A 10 days 5 days
B 6 days 2 days
C 14 days 7 days
D 2 days 1 day
E 8 days 3 days
Total 40 days 18 days
382 Chapter 11 • Advanced Topics in Planning and Scheduling
Noncritical Activity X
Noncritical Activity Y
Critical Activity D
Critical Activity C
Critical Activity B
Critical Activity A
Feeder Buffer
Project Buffer
FIgure 11.8 ccPM employing feeder Buffers
Note: Feeder buffers are intended to prevent delays on critical activities.
To understand how the logic of the critical chain is constructed, note that the first steps lie in making some important adjustments to traditional scheduling approaches, such as:
1. Adjusting expected activity durations to reflect a 50% probability of completion on time (shrinking the schedule)
2. Changing from an early-start process to a late-finish approach 3. Factoring in the effects of resource contention if necessary
Figures 11.9a, b, and c present a simplified series of examples that follow these steps. Figure 11.9a shows a standard activity network based on a PERT approach. A total of five activities are identified (A, B, C, D, and E) along two separate paths feeding into activity E at the project’s conclusion. All activi- ties are scheduled to begin as early as possible (early start) and are based on a standard method for estimating durations. Table 11.2 lists these expected durations.
Figure 11.9a demonstrates an expected overall project duration of 90 days, based on the longest set of linked activities (path A – B – E). The second path, C – D – E, has an overall dura- tion of 60 days and hence, has 30 days of slack built into it. In order to adjust this network, the first step involves changing to a late-start schedule. Second, CCPM challenges the original activity duration estimates and substitutes ones based on the mean point of the distribution. The modified activity network makes the assumption of shrinking these estimates by 50%. Therefore, the new network has an overall duration of 45 days, rather than the original 90-day estimate (Figure 11.9b).
The next step in the conversion to a critical chain schedule involves the inclusion of project and feeder buffers for all network paths. Recall that these buffers are calculated based on apply- ing 50% of the overall schedule savings. The feeder buffer for the path C − D is calculated as (.50) (10 + 5), or 7.5 days. The project buffer, found from the values for path A − B − E, is calculated as (.50)(5 + 25 + 15), or 22.5 days. Hence, once buffers are added to the modified activity network, the original PERT chart showing duration of 90 days with 30 days of slack, the new critical chain network has an overall duration of 67.5 days, or a savings of 22.5 days (Figure 11.9c). Through three steps, therefore, we move from an early-start to a late-start schedule, identify the critical path (sequence of longest linked activities), and then apply feeder and project buffers. The result is a modified project schedule, which, even with buffers inserted, significantly reduces sched- uled completion time for the project.19
tAble 11.2 Activity Durations
Activity Duration
A 10 days
B 50 days
C 20 days
D 10 days
E 30 days
11.4 The Critical Chain Solution to Project Scheduling 383
A (10) B (50)
C (20) D (10)
E (30)
Slack
90 Days
FIgure 11.9a Project Schedule Using early Start
45 Days
A (5) B (25)
E (15)
D (5)C (10)
FIgure 11.9b reduced Schedule Using late Start
A (5) B (25)
E (15)
D (5)C (10) Feeder Buffer (7.5)
67.5 Days
Project Buffer (22.5)
FIgure 11.9c critical chain Schedule with Buffers Added
critical chain Solutions Versus critical Path Solutions
So what is the real difference between the critical path method and Critical Chain Project Management? Critical chain is usually not the same path as the critical path within an activity network. The critical path depends only on task dependency, that is, the linkage of tasks with their predecessors. In this process, activity slack is discovered after the fact; once the network is laid out and the critical path identified, all other paths and activities may contain some level of slack. On the other hand, the critical chain usually jumps task dependency links. Again, this effect occurs because critical chain requires that all resource leveling be done before the critical chain can be identified, not afterward as in the case of PERT and CPM networks.
To illustrate this distinction, consider the differences when the activity network in Figure 11.10a is compared with the modified solution in Figure 11.10b. Figure 11.10a shows a simplified PERT net- work that identifies three paths. The central path is the critical path. The difficulty occurs when we require the same resource (Bob) to complete activities that are scheduled simultaneously. Clearly, Bob cannot perform the three tasks at the same time without significantly lengthening the overall critical path. The alternative, shown in Figure 11.10b, is to first resource-level the activities that Bob must perform. The project’s schedule must take into account the resource conflict and demonstrate a new network logic that allows the project to proceed.
384 Chapter 11 • Advanced Topics in Planning and Scheduling
Bob, our resource constraint (Figure 11.10b), forces the schedule to be redrawn in order to reflect his work assignments. Note that with the critical chain schedule (shown with the dashed line), Bob first completes his task on the central path. The other two paths require Bob as well, and so he is first assigned to the task on the lower path and he then accounts for his final assignment, along the top path. Also note how the various feeder buffers must be redrawn in the new critical chain schedule. Because Bob’s work on the first task is the predecessor for his subsequent activities, the feeder buffers on the top and bottom schedules are moved forward, or earlier, in the network to account for his resource availability (if he is delayed). Hence, because Bob is the critical resource in the network, it is imperative to first level him across the tasks he is responsible for and then redraw the network to create a new critical chain, which is distinct from the original critical path. Once the critical chain is iden- tified, feeder buffers are added to support the critical activities while providing a margin of safety for the noncritical paths.
Feeder Buffer
Feeder Buffer
Bob
Bob
Bob
Critical Path
FIgure 11.10a critical Path Network with resource conflicts
Bob
Bob
Feeder Buffer
Feeder Buffer
Project Buffer
Feeder Buffer
Bob
FIgure 11.10b the critical chain Solution
Note: The critical chain is shown as a dashed line.
11.4 The Critical Chain Solution to Project Scheduling 385
Project Profile
eli lilly Pharmaceuticals and its commitment to critical chain Project Management
Eli Lilly Corporation is one of the giants in the pharmaceutical industry, but in the drug-manufacturing industry, size is no guarantee of future success. All pharmaceutical firms in the United States are facing increasing pressure from a variety of sources: (1) the federal government, which has just enacted elements of “Obamacare” with strict guidelines for drug cost control; (2) the loss of patents as key drugs become generic; and (3) the need to maintain leadership in a highly competitive industry. Lilly is beginning to feel this sting personally; starting in 2011, several of its top-selling drugs went off patent, leaving the company scrambling to bring new drugs into the marketplace quickly. Unfortunately, their “late-stage” pipeline is thin; there are few drugs waiting in the wings to be commercialized.
In its efforts to stay out in front, Lilly has announced a series of strategic moves. First, the firm has instituted a cost-cutting initiative across the organization in hopes of trimming more than $1 billion from operations. Second, Lilly has reorganized into four divisions in order to streamline and consolidate operations to become more market-driven and responsive. Finally, the firm has announced the formation of a Development Center of Excellence in R&D, to be sited at corporate headquarters in Indianapolis, Indiana. The Center will be responsible for accelerating the completion of late-stage trials and release of new drugs. What does Lilly see as being key to the success of its Center of Excellence? One important element is the widespread use of Critical Chain Project Management (CCPM).
Lilly has been championing CCPM in its R&D units since 2007 and is committed to instituting the process throughout its entire R&D organization. The company’s support for CCPM is based on the results of hard evidence: “It has now been implemented on 40 of our new product pipeline and our projects are 100 percent on time delivery compared to about 60 percent for the other 60 percent of the [drugs] in the more traditional development programs,”20 according to Steven Paul, President of Lilly Research Labs.
Lilly has found that CCPM gives the company multiple advantages, starting with re-creating a cooperative internal environment based on shared commitment of various departments to the drug development process. Further, CCPM offers a method for maximizing the efficiency of the firm’s resources, avoiding common bottlenecks in the development cycle, and moving drugs through the trial stages much more rapidly. Finally, it encourages an internal atmosphere of authenticity in estimating, scheduling, and controlling projects.
The move to CCPM did not come easily. Some managers have noted that it requires a different mind-set on the part of employees, who have to see their projects from an “organizational” point of view rather than from a strictly departmental perspective. Nevertheless, Lilly’s public commitment to CCPM has paid off and continues to serve as a catalyst for the company’s competitive success.21
FIgure 11.11 Drug Discovery research lab
N o
e l H
e n
d ri
ck so
n /B
le n
d I m
a g
e s/
A la
m y
386 Chapter 11 • Advanced Topics in Planning and Scheduling
11.5 crItIcAl chAIn SolutIonS to reSource conFlIctS
Suppose that after laying out the revised schedule (refer back to Figure 11.9c), we discover a resource contention point. Let us assume that activities B and D require the same person, result- ing in an overloaded resource. How would we resolve the difficulty? Because the start dates of all activities are pushed off as late as possible, the steps to take are as follows:
1. The preceding task for activity D is activity C. Therefore, the first step lies in assigning a start- as-late-as-possible constraint to activity C.
2. To remove the resource conflict, work backward from the end of the project, eliminating the sources of conflict.
Figure 11.12 presents an MS Project file that illustrates the steps in adjusting the critical chain schedule to remove resource conflicts. Note that the original figure (Figure 11.9c) highlights a standard problem when developing a typical early-start schedule, namely, the need to evaluate the schedule against possible resource overload. Suppose, for example, that the Gantt chart (Figure 11.12) indi- cates a resource conflict in the form of Joe, who is assigned both activities B and D during the week of March 6. Since this person cannot perform both activities simultaneously, we must reconfigure the schedule to allow for this constraint.
Figure 11.13 shows the next step in the process of resolving the resource conflict. While main- taining a late-start format, activity D is pushed back to occur after activity B, thereby allowing
FIgure 11.12 Scheduling Using late Start for Project Activities
Source: MS Project 2013, Microsoft Corporation.
FIgure 11.13 reconfiguring the Schedule to resolve resource conflicts
Source: MS Project 2013, Microsoft Corporation.
11.6 Critical Chain Project Portfolio Management 387
Joe to first perform B before moving to his next assignment. The total schedule delay amounts to approximately one week with the reconfigured schedule.
Alternatively, this resource conflict problem can be rescheduled according to Figure 11.14, in which activities C and D are moved forward in the network. This alternative solution does add additional time to the network path, moving the projected completion date to the second week in April. When choosing the most viable solution to resource conflict issues, you want the option that minimizes total network schedule disruption. In the examples shown, it might be preferable to adopt the schedule shown in Figure 11.13 because it addresses the resource conflict and offers a reconfigured schedule that loses only one week overall.
11.6 crItIcAl chAIn Project PortFolIo MAnAgeMent
Critical Chain Project Management can also be applied to managing a firm’s portfolio of proj- ects. Basic TOC logic can be applied to the portfolio of company projects to identify the key systemwide constraint. Recall that in the single-project example, the key constraint is found to be the critical chain. At the organizationwide level, the chief constraint is commonly seen as the company’s resource capacity. In balancing the portfolio of projects in process, we must first evaluate the company’s chief resource constraints to determine available capacity. The resource constraint may be a person or department; it may be a companywide operating policy, or even a physical resource. In a production capacity, Goldratt has used the term drum in reference to a systemwide constraint, because this limiting resource becomes the drum that sets the beat for the rest of the firm’s throughput.22
In order to apply CCPM to a multiproject environment, we must first identify the current portfolio of projects. Next, the chief resource constraint, or drum, is identified and, following TOC methodology, that system constraint is exploited. With project portfolio scheduling, this step usually consists of pulling projects forward in time because the drum schedule deter- mines the subsequent sequencing of the firm’s project portfolio. If the drum resource is early, some projects can be pulled forward to take advantage of the early start. If the drum is late, projects may need to be pushed off into the future. We also need to employ buffers in portfolio scheduling, much as we did for feeder paths and overall project buffering in individual project cases. The term capacity constraint buffer (ccB) refers to a safety margin separating differ- ent projects scheduled to use the same resource. Applying a CCB prior to sequencing to the next project ensures that the critical resource is protected. For example, if Julia is the quality assessment expert and must inspect all beta software projects prior to their release for full development, we need to apply a CCB between her transition from one project to the next. Finally, we can also use drum buffers in portfolio scheduling. Drum buffers are extra safety applied to a project immediately before the use of the constrained resource to ensure that the
FIgure 11.14 Alternative Solution to resource conflict Problem
Source: MS Project 2013, Microsoft Corporation.
388 Chapter 11 • Advanced Topics in Planning and Scheduling
resource will not be starved for work. In effect, they ensure that the drum resource (our con- straint) has input to work on when it is needed in the project.23
The formal steps necessary to apply CCPM to multiple project portfolios include:24
1. Identify the company resource constraint or the drum, the driving force behind mul- tiple project schedules. Determine which resource constraint most directly affects the performance of the overall system or which is typically in short supply and most often requires overtime. Such physical evidence is the best indicator of the company’s central constraint.
2. Exploit the resource constraint by— a. Preparing a critical chain schedule for each project independently. b. Determining the priority among the projects for access to the drum, or constraining
resource. c. Creating the multiproject resource constraint, or drum, schedule. The resource demands
for each project are collected and conflicts are resolved based on priority and the desire to maximize project development performance.
3. Subordinate the individual project schedules by— a. Scheduling each project to start based on the drum schedule. b. Designating the critical chain as the chain from the first use of the constraining resource to
the end of the project. c. Inserting capacity constraint buffers (CCBs) between the individual project schedules,
ahead of the scheduled use of the constraint resource. This action protects the drum sched- ule by ensuring the input is ready for it.
d. Resolving any conflicts if the creation of CCBs adversely affects the drum schedule. e. Inserting drum buffers in each project to ensure that the constraint resource will not be
starved for work. The buffers should be sited immediately before the use of the constraint resource in the project.
4. Elevate the capacity of the constraint resource; that is, increase the drum capacity for future iterations of the cycle.
5. Go back to step 2 and reiterate the sequence, improving operating flow and resource con- straint levels each time.
As an example, consider Figure 11.15. We have identified a drum resource constraint, suggesting that the resource supply is not sufficient to accommodate all three projects (A, B, and C) that are queued to be completed. This point is illustrated by the dashed line running horizontally across the figure. One option, of course, is to drop the project with the lowest priority, in essence allowing the drum resource to dictate the number of projects that can be accomplished. Alternatively, we can consider methods for exploiting the system constraint through the use of capacity constraint buffers to accomplish all three projects, on their pri- ority basis. Figure 11.15 shows the nature of the problem, with project A having the highest priority, B the next highest, and C the lowest priority. Resources exist to handle only two projects simultaneously, but the resources are not needed continuously, as the figure shows. As a result, the resource constraint problem really becomes one of scheduling, similar to the single-project case.
Once we have identified the resource constraint and prioritized the projects for access to the drum resource, we can reschedule the projects in a manner similar to that shown in Figure 11.16.25 The problem is one of constrained capacity, so the task consists of pushing the additional project C off until such time as it can be included in the drum schedule. A capacity constraint buffer (CCB) is placed in front of the start date to begin work on project C. This buffer ensures that the critical resource is available when needed by the next project in the pipeline and defines the start date for the new project.
This same procedure can be used as we add a fourth, fifth, or sixth project to the portfolio. Each project is constrained by access to the drum resource and must, therefore, be scheduled to take into consideration the system constraint. By so doing, we are able to create a master project schedule that employs Goldratt’s theory of constraints philosophy within a multiproject environment.
11.6 Critical Chain Project Portfolio Management 389
Time
R e s o
u rc
e S
u p
p ly
A & B start immediately
A A A
B B BC
C
Project C start date
CCB
FIgure 11.16 Applying ccBs to Drum Schedules
Time
R e s o
u rc
e S
u p
p ly
Priority: 1. Project A 2. Project B 3. Project C
A A A
B B B
C C
FIgure 11.15 three Projects Stacked for Access to a Drum resource
390 Chapter 11 • Advanced Topics in Planning and Scheduling
Box 11.2
Project Management research in Brief
Advantages of Critical Chain Scheduling
Does CCPM really work? Although a number of recent books and articles have appeared championing the methodology, little empirical evidence exists to date to either confirm or disconfirm the viability of the critical chain approach to scheduling. Evidence tends to be primarily anecdotal in nature, as CCPM advocates point to a number of firms that have realized significant savings in time and positive attitudinal changes on the part of project team members following the adoption of critical chain scheduling.
A recent study by Budd and Cooper26 sought to test the efficacy of CCPM against traditional critical path scheduling in a simulation environment. Using three long projects and more than 1,000 iterations with both a critical chain and a critical path schedule, the authors projected completion times for the proj- ects under study and determined that total activity durations for the critical chain schedules were shorter than durations using the critical path method. For their simulation models, the long projects under a CPM schedule were projected to take from 291 to 312 days to completion, with a mean finish time of 293 days. Critical chain projects were projected to take from 164 to 181 days, with a mean value of 170 days to com- pletion. In fact, in multiple iterations involving different length projects, critical chain scheduling reduced the mean duration time to complete projects anywhere from 18% to 42%. The only caveat the authors noted was their inability to reflect the negative effects of multitasking on either schedule. Nevertheless, their findings offer some evidence in support of critical chain project management as a viable alternative to critical path scheduling.
Additional research evidence is also suggesting that CCPM does have a positive impact on project out- comes. In IT project management, reported results suggest that successfully adopting CCPM shows reductions in project durations of about 25%, increased throughput (the number of projects finished per unit of time) of 25%, and the number of projects completed on time rose to 90%. Finally, a compilation of recent results from different project settings offers some encouraging evidence (see Table 11.3).27
tAble 11.3 company Project Performance improvements Using critical chain Project Management
ccPM implementation Before After
New Product Development for Home Appliances (Hamilton Beach/Proctor-Silex)
34 new products per year. 74% of projects on time.
Increased to 52 new products in first year and to 70 + in second year. 88% of projects on time.
Telecommunications Network Design and Installation (eircom, Ireland)
On-time delivery less than 75%. Average cycle time of 70 days.
Increased on-time delivery to 98 + %. Average cycle time dropped to 30 days.
Helicopter Manufacturing and Maintenance (Erickson Air-Crane)
Only 33% of projects completed on time.
Projects completed on time increased to 83%.
Oil & Gas Platform Design & Manufacturing (LeTourneau Technologies, Inc.)
Design engineering took 15 months. Production engineering took 9 months. Fabrication and assembly took 8 months.
Design engineering takes 9 months. Production engineering takes 5 months. Fabrication and assembly takes 5 months with 22% improvement in labor productivity.
High Tech Medical Development (Medtronic Europe)
Device projects took 18 months on average and were unpredictable.
Development cycle time reduced to 9 months. On-time delivery increased to 90%.
Transformer Repair and Overhaul (ABB, Halle)
42 projects completed January–December 2007. On-time delivery of 68%.
54 projects completed January– December 2008. On-time delivery of 83%.
Summary 391
11.7 crItIqueS oF ccPM
Critical Chain Project Management is not without its critics. Several arguments against the process include the following charges and perceived weaknesses in the methodology:
1. Lack of project milestones make coordinated scheduling, particularly with external suppliers, highly problematic. Critics contend that the lack of in-process project milestones adversely affects the ability to coordinate schedule dates with suppliers that provide the external deliv- ery of critical components.28
2. The “newness” of CCPM is a point refuted by some who see the technique as either ill-suited to many types of projects or simply a reconceptualization of well-understood scheduling meth- odologies (such as PERT), provided special care has been taken to resource-level the network.29
3. Although it may be true that CCPM brings increased discipline to project scheduling, efficient methods for the application of this technique to a firm’s portfolio of projects are unclear. The method seems to offer benefits on a project-by-project basis, but its usefulness at the program level has not been proven.30 Also, because CCPM argues for dedicated resources, in a multi- project environment where resources are shared, it is impossible to avoid multitasking, which diminishes the power of CCPM.
4. Evidence of success with CCPM is still almost exclusively anecdotal and based on single-case stud- ies. Debating the merits and pitfalls of CCPM has remained largely an intellectual exercise among academics and writers of project management theory. With the exception of Budd and Cooper’s modeling work, no large-scale empirical research exists to either confirm or disconfirm its efficacy.
5. A recent review of CCPM contended that although it does offer a number of valuable con- cepts, it is not a complete solution to current project management scheduling needs. The authors contended that organizations should be extremely careful in excluding conventional project management scheduling processes to adopt CCPM as a sole method for planning and scheduling activities.31
6. Critics also charge that Goldratt’s evaluation of duration estimation is overly negative and critical, suggesting that his contention that project personnel routinely add huge levels of activity duration estimation “padding” is exaggerated.
7. Finally, there is a concern that Goldratt seriously underestimates the difficulties associated with achieving the type of corporatewide cultural changes necessary to successfully imple- ment CCPM. In particular, while activity estimate padding may be problematic, it is not clear that team members will be willing to abandon safety at the request of the project manager as long as they perceive the possibility of sanctions for missing deadlines.32
Successful implementation and use of CCPM is predicated first on making a commitment to criti- cally examining and changing the culture of project organizations in which many of the prob- lems identified in this chapter are apparent. Truth-in-scheduling, avoiding the student syndrome, transferring project safety to the control of the project manager—these are all examples of the types of actions that bespeak a healthy, authentic culture. Gaining “buy-in” from organizational members for this type of scheduling process is vital to the success of such new and innovative techniques that can dramatically improve time to market and customer satisfaction.33
Summary
1. Understand why Agile Project Management was developed and its advantages in planning for certain types of projects. Agile project planning offers some distinct advantages over the traditional, waterfall planning model. For example, water- fall models offer a rigid, set project plan, in which
development occurs in a logical, sequential manner, following predetermined steps. For projects with a fixed set of goals and well-understood processes, waterfall planning works well. However, Agile is useful because for many projects, it recognizes the likelihood of scope and specification changes
392 Chapter 11 • Advanced Topics in Planning and Scheduling
occurring in the middle of the development cycle. Because it is an incremental, iterative planning methodology, Agile allows project teams to plan and execute elements of the project in shorter (1–4 week) segments, called Sprints. Finally, Agile recognizes that project success must be viewed through the eyes of the user, so it emphasizes the “voice of the customer” and the development of product features they value, rather than focusing solely on specifications. The flexibility of the meth- odology and its commitment to creating value for the customer make Agile a good alternative project planning approach.
2. recognize the critical steps in the Agile process as well as its drawbacks. There are five steps in the Agile/Sprint process: (1) Sprint Planning—the work of the upcoming Sprint is identified and a Sprint Backlog is created; (2) Daily Scrums—meet- ings of the development team to synchronize their activities and plan for the next 24-hour win- dow; (3) Development Work—the actual work in the Sprint is done during this stage and is often represented with a Burndown Chart; 4) Sprint Reviews—held at the end of the Sprint to inspect the work that was performed and make changes to the Product Backlog as needed; and 5) Sprint Retrospective—the meeting held to evaluate how the previous Sprint went, including correc- tive action for improving the process prior to the next Sprint.
3. Understand the key features of the extreme Programming (XP) planning process for software projects. Extreme Programming (XP) is a software development technique that takes the customer responsiveness of Agile to extreme levels. Core prin- ciples of XP include an emphasis on keeping the programming code simple, reviewing it frequently, testing early and often, and working normal busi- ness hours. Two distinct elements in XP include the use of refactoring, which is the continuous process of streamlining the software design and improving code throughout development, rather than waiting for final product testing. The second feature of XP is the use of pair programming, in which sets of pro- grammers work side-by-side to support each other’s efforts. Pair programming promotes a collaborative process in creating software and helps maintain a constant emphasis on quality during development.
4. distinguish between critical path and criti- cal chain project scheduling techniques. As a result of systematic problems with project scheduling, Eli Goldratt developed the Critical Chain Project Management (CCPM) process. With CCPM, several alterations are made to the traditional PERT scheduling process. First, all individual activity slack, or “buffer,” becomes project buffer. Each team member, responsible for
her component of the activity network, creates a duration estimate free from any padding, that is, one that is based on a 50% probability of suc- cess. All activities on the critical chain and feeder chains (noncritical chains in the network) are then linked with minimal time padding. The project buffer is now aggregated and some proportion of that saved time (Goldratt uses a 50% rule of thumb) is added to the project. Even adding 50% of the saved time significantly reduces the overall project schedule while requiring team members to be less concerned with activity padding and more with task completion.
Second, CCPM applies the same approach for those tasks not on the critical chain. All feeder path activities are reduced by the same order of magni- tude and a feeder buffer is constructed for the over- all noncritical chain of activities.
Finally, CCPM distinguishes between its use of buffer and the traditional PERT use of project slack. With the PERT approach, project slack is a function of the overall completed activity network. In other words, slack is an outcome of the task dependen- cies, whereas CCPM’s buffer is used as an a priori input to the schedule planning, based on a reasoned cut in each activity and the application of aggregat- ed project buffer at the end.
5. Understand how critical chain methodology resolves project resource conflicts. Critical Chain Project Management assumes that the critical chain for a project requires first identifying resource conflicts and then sequencing tasks so as to eliminate these conflicts. Instead of employ- ing early-start methods for networks, the CCPM approach emphasizes using late-start times, adding feeder buffers at the junction of feeder paths to the critical path, and applying an overall project buffer at the project level to be used as needed. All activi- ties are sequenced so as to exploit resource conflicts, ensuring minimal delays between tasks and speed- ing up the overall project.
6. Apply critical chain project management to proj- ect portfolios. CCPM can also be applied at the project portfolio level, in which multiple projects are competing for limited project resources. Portfolio management first consists of identifying the maxi- mum resource availability across all projects in a portfolio, prioritizing the projects for access to the constrained resource, and then sequencing other, noncritical project activities around the resources as they are available. The “drum resource” is the critical resource that constrains the whole portfolio. To buffer the projects that are sequenced to use the drum resources, CCPM advises creating capacity constraint buffers (CCBs) to better control the tran- sition between projects as they queue to employ the critical resource.
Solved Problem 393
Solution
Key terms
Agile Project Management (Agile PM) (p. 369) Burndown Chart (p. 372) Capacity constraint buffer (CCB) (p. 387) Central limit theorem (p. 379) Critical chain (p. 379)
Critical Chain Project Management (CCPM) (p. 368) Development team (p. 373) Drum (p. 387) Drum buffers (p. 387) Extreme Programming (XP) (p. 377)
Feature (p. 372 Pair programming (p. 377) Product Backlog (p. 373) Refactoring (p. 377) Scrum (p. 370) Scrum Master (p. 372)
Sprint (p. 372) Sprint Backlog (p. 372) Theory of constraints (TOC) (p. 378) Time-box (p. 372) User stories 372) Waterfall model (p. 370)
Solved Problem
Assume you have the PERT chart shown in Figure 11.17 and you have identified a resource conflict in which Cheryl is scheduled to work on two tasks at the same time. In this case, Cheryl has become the constrained resource for your project.
How would you reconfigure this portion of the project’s net- work diagram to better manage your critical resource? What would be the new “critical chain”?
Cheryl
Cheryl
Critical Path
FIgure 11.17 current Network
Cheryl
Cheryl
Feeder Buffer
Feeder Buffer
Project Buffer
FIgure 11.18 Solution to Solved Problem critical chain Network
394 Chapter 11 • Advanced Topics in Planning and Scheduling
Problems
11.1 Assume the network diagram shown in Figure 11.19. Megan is responsible for activities A and C. Use the critical chain methodology to resource-level the network. What are two options for redrawing the network? Which is the most efficient in terms of time to completion for the proj- ect? Show your work.
11.2 Consider the following activities and their durations. The original project schedule, using early activity starts, is shown in Figure 11.20. Reconfigure the network using critical chain project scheduling.
What is the critical path? How much slack is avail- able in the noncritical path? Reconfigure the network
in Figure 11.20 as a critical chain network. What is the new duration of the project? How long are the project and feeder buffers?
Activity Duration
A 5 days B 30 days C 10 days D 10 days
E 15 days
FIgure 11.19
Source: MS Project 2013, Microsoft Corporation.
Discussion Questions
11.1 What are the practical implications internally (in terms of team motivation) and externally (for the customer) of making overly optimistic project delivery promises?
11.2 In considering how to make a big change in organiza- tional operations (as in the case of switching to CCPM), why might it be necessary to focus on changing the or- ganization’s current culture? That is, why does a shift in project scheduling require so many other linked changes to occur?
11.3 Why are traditional project planning methods insuffi- cient when project deliverables are subject to changing requirements or continuous input from the project client?
11.4 What are the advantages and disadvantages of the water- fall planning model for project development?
11.5 What are the advantages and disadvantages of Agile PM? 11.6 How are the duties of the Scrum Master similar to a project
manager? How do they differ? 11.7 Why is a focus on project features and user stories impor-
tant when developing requirements? 11.8 What would be the difficulties in using Extreme
Programming (XP) to develop projects? What types of projects would be best suited to employing XP?
11.9 How does aggregation of project safety allow the project team to reduce overall safety to a value that is less than the sum of individual task safeties? How does the insur- ance industry employ this same phenomenon?
11.10 Distinguish between project buffers and feeder buffers. What is each buffer type used to accomplish?
11.11 It has been said that a key difference between CCPM safety and ordinary PERT chart activity slack is that ac- tivity slack is determined after the network has been created, whereas critical chain path safety is deter- mined in advance. Explain this distinction: How does the project team “find” slack in a PERT chart versus how does the team use the activity buffer in Critical Chain Project Management?
11.12 What are the steps that CCPM employs to resolve re- source conflicts on a project? How does the concept of activity late starts aid this approach?
11.13 What key steps are necessary to employ CCPM as a method for controlling a firm’s portfolio of projects?
11.14 What is a drum resource? Why is the concept important to understand in order to better control resource require- ments for project portfolios?
Problems 395
A (5) B (30)
C (10) D (10)
E (15)
Slack
50 Days
FIgure 11.20
11.3 Reconfigure the network in Figure 11.21 using the criti- cal chain approach. Remember to reconfigure the activi- ties to late start where appropriate. What is the original critical path? What is the original project duration? How
much feeder buffer should be applied to the noncritical paths? What is the length of the project buffer? Assume the 50% likelihood is exactly half the duration of current project activities.
E (10) H (15)
B (10)
G (15)
D (8)
A (12) C (15)
F (18)
FIgure 11.21
Joe
Feeder Buffer
Feeder Buffer
Joe
Joe
CRITICAL PATH
FIgure 11.22
11.4 Assume the network in Figure 11.22 with resource conflicts. How would you redraw the network using a critical chain
in order to eliminate the resource conflicts? Where should feeder buffers be applied? Why?
396 Chapter 11 • Advanced Topics in Planning and Scheduling
11.5 Consider the project portfolio problem shown in Figure 11.23. You are required to manage resources to accommodate the company’s current project portfolio. One resource area, comprising Carol, Kathy, and Tom, is responsible for all program debugging as new proj- ects are completed. Four projects have activities that need to be completed. How would you schedule Carol, Kathy, and Tom’s time most efficiently? Using buffer drum scheduling, reconfigure the following schedule to allow for optimal use of the resource time:
Priority: 1. Project X
2. Project Y
3. Project Z
4. Project Q
Where would you place capacity constraint buffers? Why?
Time
R e s o
u rc
e S
u p
p ly
X X X
Y Y Y
Z Z
Q Q
FIgure 11.23
CaSe StuDy 11.1 It’s an Agile World
“This isn’t what I need!,” objected the admissions of- ficer at Northwest Regional Hospital.
Judy sighed, “But this is the software you asked us to create for you.”
“I don’t care what I said at the time; this system won’t work for us the way you have it set up. You’ll have to fix it.”
“But any fixes are going to set this project back at least four months,” Judy warned. “Why don’t you work with it for a while and get used to the features? I’m sure you’ll find that it works fine.”
Judy’s attempt at reassurance just set off an even more negative response from the admissions officer;
“Look, we needed the registration screens in a differ- ent format. I can’t read this one. And on top of that, it’s missing the insurance check function.”
“But you didn’t ask for any of those features last April when we developed the specifications for the system.”
“At the time, I didn’t know they were available. Since then, we got new information and some new federal regulations. You’ll have to make big changes before I can authorize our staff to switch over to this system.”
As Judy reflected on this conversation later, she realized that this had become a recurring problem at the hospital. As head of the IT department, Judy was
Case Study 11.2 397
responsible for upgrading and adding multiple new reporting and information system functions to the hos- pital’s software on an ongoing basis. It seemed as if the plan for every new effort was met by clients with initial enthusiasm and high expectations. After the preliminary scope meetings, the members of the IT group would head back to the department and work over several months to create a prototype so their cli- ents could see the system in use, play around with it, and realize its value. Unfortunately, more often than not, that sequence just didn’t happen. By the time the programmers and system developers had finished the project and presented it to the customer, these hospi- tal staff members had forgotten what they asked for, didn’t like what they received, or had a new list of “critical features” the IT representative had to imme- diately include.
Later, at the lunch table, Judy related the latest demonstration and rejection meeting to some of her colleagues from the IT group. To a person, they were not surprised.
Tom, her second-in-command, shrugged, “It hap- pens all the time. When was the last time you had a department act happy with what we created for them? Look at it on the bright side—its steady work!”
Judy shook her head, “No, there’s got to be some- thing wrong with our processes. This shouldn’t keep happening like this. Think about it. What’s the average length of one of our software upgrade projects? Five or six months?”
Tom thought a moment, “Yes, something like that.”
“OK,” Judy continued, “during your typical development cycle, how often do we interact with the client?”
“As little as possible! You know that the more we talk to them, the more changes they ask for. It’s bet- ter to just lock the specs in up-front and get working. Anything else leads to delays.”
Judy objected, “Does it really delay things that much; especially when the alternative is to keep devel- oping systems that no one wants to use because it’s ‘not what they asked for’?”
Tom thought about this and then looked at Judy, “Maybe this is a no-win situation. If we ask them for input, we’ll never hear the end of it. If we create a sys- tem for them, they don’t like it. What’s the alternative?”
Questions
1. Why does the classic waterfall project planning model fail in this situation? What is it about the IT department’s processes that leads to their fin- ished systems being rejected constantly?
2. How would an Agile methodology correct some of these problems? What new development cycle would you propose?
3. Why are “user stories” and system “features” critical components of an effective IT software development process?
4. Using the terms “Scrum,” “Sprint,” and “Development team,” create an alternative devel- opment cycle for a hypothetical software develop- ment process at Northwest Regional Hospital.
CaSe StuDy 11.2 Ramstein Products, Inc.
Jack Palmer, head of the Special Projects Division for Ramstein Products, had been in his new position for only three months when he ordered an evaluation of project management practices within his division. Ramstein Products is a leading developer of integrated testing equipment for the energy industry, marketing more than 45 product lines to a variety of organizations involved in natural gas and oil exploration, power gen- eration, and utilities. As head of special products, Jack was responsible for an ongoing project portfolio of 50 to 60 new product development projects. Top manage- ment at Ramstein estimated that 60% of company rev- enue came from new products and took a keen interest in the operations of the Special Projects Division.
As part of the evaluation, Jack became aware of the troubling fact that projects were routinely overrunning their budget and schedule targets, often by a significant margin. This fact was particularly troubling because Jack, who had once worked as a project manager within the division, was well aware that project schedules were not terribly aggressive. In fact, he believed that a great deal of padding went into the project schedules as they were initially developed. Why, then, were projects chronically late and over budget?
Although important to Ramstein’s future success, the Special Projects Division had long been operating on a tight resource level. There were seven system inte- gration engineers supporting a portfolio of 55 projects.
(continued)
398 Chapter 11 • Advanced Topics in Planning and Scheduling
These engineers were very important to Ramstein’s new product development efforts, and their services were often stretched to the breaking point. One of the senior engineers, Mary, recently informed Jack that she was supporting 14 projects, all being developed at the same time!
Jack reflected on some of the information he had received during his evaluation. Clearly, the easi- est option would be to approach top management and request more systems integration engineers for his division. He had a hunch, however, that with the cur- rent economic conditions, any such request from him would probably be turned down. He needed to get a
handle on the problems and apply some solutions now with the resources he had available.
Questions 1. Applying Goldratt’s ideas of critical resources,
what is the system constraint within the Special Projects Division that is causing bottlenecks and delaying the projects?
2. How is multitasking contributing to systemic de- lays in project development at Ramstein?
3. How could the drum buffer concepts from Critical Chain Portfolio Management be applied to this problem?
internet exercises
11.1 Go to www.youtube.com/watch?v=BRMDCRPGYBE for a brief overview of Critical Chain Project Management. What does the presenter suggest are the benefits and big- gest challenges of implementing CCPM?
11.2 Go to www.youtube.com/watch?v=XU0llRltyFM to view a brief introduction to the techniques of Scrum for new development projects. What are time estimates for com- pleting the different user stories so critical to developing Sprints? How many Sprints do they recommend in each product release cycle?
11.3 Visit www.pqa.net/ccpm/W05001001.html and consider some of the key links, including “What’s New & Different about Critical Chain (CCPM)?” and “Diagnose Your Project Management Problems.” What are the benefits that CCPM offers project organizations?
11.4 Go to www.focusedperformance.com/articles/multi02. html. In an article entitled “The Sooner You Start, the Later You Finish,” a number of points are made about the logic of scheduling and the value of a critical chain solution. What, in your opinion, are the core arguments the author makes in this article?
11.5 Go to www.goldratt.co.uk/Successes/pm2.html and examine several case stories of firms that implement- ed CCPM in their project management operations. What underlying characteristics do these firms share that helped enable them to develop CCPM methods for their projects?
notes 1. Pepitone, J. (2012, December 18). “Why 84% of Kickstarter’s
top projects shipped late,” CNN Money. http://money. cnn.com/2012/12/18/technology/innovation/kickstarter -ship-delay/index.html; Cowley, S., Goldman, D., and Pepitone, J. (2012, December 19). “Nine reasons why Kickstarter projects ship late,” CNN Tech. http://money. cnn.com/gallery/technology/2012/12/18/kickstarter-ship- late; Edwards, J. (2014, April 30). “Oculus Rift will finally go on sale to consumers next year,” Business Insider. www. businessinsider.com/oculus-riftdate-for-sale-to-consumers- 2014-4#ixzz30TJIURV2; Mollick, E. R. (2013). “The dynamics of crowdfunding: An exploratory study,” Journal of Business Venturing, 29: 1–16.
2. Leach, L. P. (1999). “Critical chain project management improves project performance,” Project Management Journal, 30(2): 39–51.
3. Takeuchi, H. and Nonaka, I. (1986, January–February). “The new new product development game,” Harvard Business Review, 137–146.
4. Takeuchi, H., and Nonaka, I. (1986), ibid., p. 137. 5. Schwaber, K., and Sutherland, J. (2013, April 21). The
Scrum Guide. Scrum.org.www.scrum.org/Portals/0/ Documents/Scrum%20Guides/2013/Scrum-Guide.pdf;
6. Schwaber, K., and Beedle, M. (2002). Agile Software Development with Scrum. Upper Saddle River, NJ: Prentice Hall.
7. Schwaber, K., and Sutherland, J., (2013), as cited in note 5. 8. Waters, K. (2007, September 4). Disadvantages of
Agile development. http://www.allaboutagile.com/ disadvantages-of-agile-development/
9. Serrador, P., and Pinto, J. K. (2014). “Are Agile projects more successful?—A quantitative analysis of project success,” submitted to IEEE Transactions on Engineering Management, in review.
10. Copeland, L. (2001, December 3). “Extreme program- ming,” Computerworld. www.computerworld.com/s/ article/66192/Extreme_Programming?taxonomyId=063; Beck, K. (1999). Extreme Programming Explained: Embrace Change. New York: Addison-Wesley; DeCarlo, D. (2004). eXtreme Project Management, San Francisco, CA: Jossey-Bass.
11. Beck, Kent, Extreme Programming Explained: Embrace Change (Upper Saddle River: Pearson Education 1999)
12. Goldratt, E. (1984). The Goal. Great Barrington, MA: North River Press; Goldratt, E. (1997). Critical Chain. Great Barrington, MA: North River Press.
Notes 399
13. Leach, L. P. (1999). “Critical chain project management improves project performance,” Project Management Journal, 30(2): 39–51; Leach, L. P., and Leach, S. P. (2010). Lean Project Leadership. Boise, ID: Advanced Projects, Inc.
14. Goldratt, E. (1997). Critical Chain. Great Barrington, MA: North River Press; Elton, J., and Roe, J. (1998, March– April). “Bringing discipline to project management,” Harvard Business Review, 76(2): 78–83.
15. Steyn, H. (2000). “An investigation into the fundamentals of critical chain project scheduling,” International Journal of Project Management, 19: 363–69.
16. Sherman, E. (2002). “Inside the iPod design triumph,” Electronics Design Chain Magazine, www.designchain. com/coverstory.asp?issue=summer02.
17. Newbold, R. C. (1998). Project Management in the Fast Lane. Boca Raton, FL: St. Lucie Press; Tukel, O. I., Rom, W. O., and Eksioglu, S. D. (2006). “An investigation of buffer sizing techniques in critical chain scheduling,” European Journal of Operational Research, 172: 401–16.
18. Steyn, H. (2000). “An investigation into the fundamentals of critical chain project scheduling.” International Journal of Project Management, 19: 363–69.
19. Hoel, K., and Taylor, S. G. (1999). “Quantifying buffers for project schedules,” Production and Inventory Management Journal, 40(2): 43–47; Raz, T., and Marshall, B. (1996). “Float calculations in project networks under resource con- straints,” International Journal of Project Management, 14(4): 241–48; Patrick, F. (1999). “Critical chain scheduling and buffer management: Getting out from between Parkinson’s rock and Murphy’s hard place,” PMNetwork, 13(4): 57–62; Leach, L. P. (2003). “Schedule and cost buffer sizing: How to account for the bias between project performance and your model,” Project Management Journal, 34(2): 34–47.
20. Steven Paul, Lilly Plays Up R&D Productivity With Reorganization, September 22, 2009. Published by Elsevier Inc.,
21. Merrill, J. (2009). “Lilly play up R&D productivity with reorganization.” www.biopharmatoday.com/2009/09/
lilly-plays-up-rd-productivity-with-reorganization-. html.
22. Goldratt, E. (1984). The Goal. Great Barrington, MA: North River Press.
23. Gray, V., Felan, J., Umble, E., and Umble, M. (2000). “A comparison of drum-buffer-rope (DBR) and criti- cal chain (CC) buffering techniques,” Proceedings of PMI Research Conference 2000. Newtown Square, PA: Project Management Institute, pp. 257–64.
24. Leach, L. P. (2000). Critical Chain Project Management. Boston: Artech House.
25. Leach, L. P. (1999). “Critical chain project management improves project performance,” Project Management Journal, 30(2): 39–51, p. 41.
26. Budd, C. S., and Cooper, M. J. (2005). “Improving on-time service delivery: The case of project as product,” Human Systems Management, 24(1): 67–81.
27. Emam, K. E., and Koru, A. G. (2008). “A replicated sur- vey of IT software project failures,” IEEE Software, 25(5): 84–90; www.realization.com/customers.html
28. Zalmenson, E. (2001, January). “PMBoK and the critical chain,” PMNetwork, 15(1): 4.
29. Duncan, W. (1999, April). “Back to basics: Charters, chains, and challenges,” PMNetwork, 13(4): 11.
30. Elton, J., and Roe, J. (1998, March–April). “Bringing dis- cipline to project management,” Harvard Business Review, 76(2): 78–83.
31. Raz, T., Barnes, R., and Dvir, D. (2003). “A critical look at critical chain project management,” Project Management Journal, 34(4): 24–32.
32. Pinto, J. K. (1999). “Some constraints on the theory of constraints: Taking a critical look at the critical chain,” PMNetwork, 13(8): 49–51.
33. Piney, C. (2000, December). “Critical path or critical chain. Combining the best of both,” PMNetwork, 14(12): 51–54; Steyn, H. (2002). “Project management applications of the theory of constraints beyond critical chain scheduling,” International Journal of Project Management, 20: 75–80.
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1 2 ■ ■ ■
Resource Management
Chapter Outline Project Profile
Hong Kong Connects to the World’s Longest Natural Gas Pipeline
introduction 12.1 the Basics of resource constraints
Time and Resource Scarcity 12.2 resource loading 12.3 resource leveling
Step One: Develop the Resource-Loading Table Step Two: Determine Activity Late Finish Dates Step Three: Identify Resource Overallocation Step Four: Level the Resource-Loading Table
12.4 resource-loading charts Project Managers in Practice
Captain Kevin O’Donnell, U.S. Marine Corps 12.5 Managing resources in
MultiProject environMents Schedule Slippage Resource Utilization
In-Process Inventory Resolving Resource Decisions in Multiproject
Environments Summary Key Terms Solved Problem Discussion Questions Problems Case Study 12.1 The Problems of Multitasking Internet Exercises MS Project Exercises PMP Certification Sample Questions Integrated Project—Managing Your Project’s
Resources Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Recognize the variety of constraints that can affect a project, making scheduling and planning difficult.
2. Understand how to apply resource-loading techniques to project schedules to identify potential resource overallocation situations.
3. Apply resource-leveling procedures to project activities over the baseline schedule using appropriate prioritization heuristics.
4. Follow the steps necessary to effectively smooth resource requirements across the project life cycle.
5. Apply resource management within a multiproject environment.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Estimate Activity Resources (PMBoK sec. 6.4) 2. Plan Human Resource Management (PMBoK sec. 9.1)
Project Profile
Hong Kong connects to the World’s longest Natural Gas Pipeline
As one of the world’s most populous cities, Hong Kong needs a consistent stream of clean energy resources to supply its 7.1 million residents with power. The city relies on a mix of fuels, but most recently, has been able to make use of an en- vironmentally friendly supply of energy to keep the city’s power needs satisfied. That energy source is natural gas. Since 1996, Hong Kong’s Black Point Power Station had drawn natural gas from the reserves of the Yacheng 13-1 gas field in Hainan, a nearby Chinese province. But as those reserves began to deplete, it became clear by the end of the last decade that the energy companies managing Hong Kong’s resource needs required new options. The company, CLP/CAPCO (a joint venture of ExxonMobil Energy and CLP Power Hong Kong), began looking into alternative arrangements—not only to maintain a consistent supply of natural gas, but also to comply with the tightened emission standards that will be required by the Hong Kong Special Administrative Region (HKSAR) Government in 2015.
In 2008, Hong Kong officials and the Central Government of the People’s Republic of China signed a memoran- dum of understanding on energy cooperation, which identified three new gas sources from which mainland China could supply gas to Hong Kong. One of the sources is the Second West-East Gas Pipeline. The Second West-East Gas Pipeline is the single biggest energy investment project in the history of the country, stretching nearly 9,000 kilometers. Begun in 2008, it is already powering cities across the mainland. It starts in Xinjiang, where it connects to Turkmenistan’s Central Asia-China Gas Pipeline, and crosses 15 provinces, autonomous regions, and municipalities. It can carry 30 billion cubic meters of gas a year and was already supplying energy for some 500 million Chinese citizens across the country. Built by a workforce of 50,000 people, the pipeline passes through mountains, deserts, and swamps, and crosses 60 hills and mountains and approximately 190 rivers.
Just connecting the pipeline network from mainland China to Hong Kong presented numerous complex chal- lenges to all involved.
• Regulations: Because it crossed the border between mainland China and Hong Kong, the project team had to acquire permits from both jurisdictions. The project had to fulfill differing practices and statutory approval processes between the jurisdictions.
Figure 12.1 Workers inside the Natural Gas Pipeline
Source: Yan Ping/Xinhua Press/Corbis
Project Profile 401
(continued)
402 Chapter 12 • Resource Management
introduction
As noted in Chapter 1, one of the defining characteristics of projects is the constraints, or limita- tions, under which they are expected to operate. The number one constraint is the availability of resources, both money and people, at the critical times when they are needed. Initial project cost estimation and budgeting—those activities that nail down resources—are extremely important elements in project management. When these two are performed well, they ensure appropriate resources for the project as it progresses downstream.
In Chapters 9 and 10 on project scheduling, we saw that network diagrams, activity duration estimates, and comprehensive schedules can all be developed without serious discussion of the availability of the resources. It was not until Chapter 11, on Agile and Critical Chain Scheduling, that resource availability came up as a prerequisite for accurate scheduling. Organizational real- ity, of course, is very different. If projects are indeed defined by their resource constraints, any attempt to create a reasonable project schedule must pass the test of resource availability. So, effec- tive project scheduling is really a multistep process. After the actual network has been constructed, the second stage must always be to check it against the resources that drive each activity. The avail- ability of appropriate resources always has a direct bearing on the duration of project activities.
In this chapter, we are going to explore the concept of resource planning and management. Gaining a better understanding of how resource management fits into the overall scheme of proj- ect planning and scheduling gives us a prominent advantage when the time comes to take all those carefully laid plans and actually make them work. The chapter will be divided into two principal sections: resource constraints and resource management.
12.1 the Basics oF resource constraints
Probably the most common type of project constraint revolves around the availability of human resources to perform the project. As we have noted, one of the key methods for shortening proj- ect durations is to move as many activities as possible out of serial paths and into parallel ones.
• Communications: The various working teams used several different languages, and all of the parties involved had different requirements for documentation and reporting. The teams predominantly used English, Putonghua, and Cantonese. However, they used English and Chinese for documents and PowerPoint presentations. The project team also had to manage a multitude of stakeholders, including over 30 authorities in both jurisdictions.
• Resource management: Acquiring and scheduling thousands of skilled workers and engineers throughout the pipe- line extension project required a massively complex project plan and a clear method for scheduling resources, espe- cially during critical parts of the project, including laying underwater piping.
• Environmental requirements: The project needed to fulfill stringent environmental requirements for the two jurisdic- tions. The project managers instituted a robust monitoring and audit program during the project execution phase, with intensive water quality monitoring, marine mammal monitoring, and site inspections. Mitigation measures also includ- ed the deployment of silt curtains and limitations on working speed during marine dredging and jetting operations.
• Quality control: Every section of the pipeline was meticulously checked. Each weld joint had to pass an automatic ul- trasonic testing. The entire pipeline, including its coating and corrosion protection system, was thoroughly inspected before being laid into the seabed.
Laying of the undersea pipeline was a difficult undertaking due to a number of physical constraints. The project required a 20-kilometer section pass beneath three major shipping channels—Dachan Fairway, Tonggu Channel, and Urmston Road—the last of which is one of the world’s busiest marine channels used by more than 400 vessels a day, including ocean-going vessels. Getting a permit to put the pipeline beneath the Urmston Road took three months of planning and discussions with Hong Kong and Shenzhen officials. Once approved, the actual laying of the pipeline took just three days. The operation involved hundreds of engineers, pipefitters, and welders working from a sophisticated water-pipe laying and lifting barge working in shallow and deep waters. For example, the branch line links Dachan Island, off Shenzhen, with Hong Kong’s Black Point power station. It took 1,600 carbon steel pipes, each nearly 40 feet long and weighing approximately 13 tons.
The project cost the equivalent of $23 billion dollars and is operated by the China National Petroleum Corporation. It will continue to provide a new source of gas to Hong Kong, replacing the nearly exhausted alternatives, while im- proving Hong Kong’s consumption of carbon fuels and ensuring a “greener” supply of energy well into the future.1
12.1 The Basics of Resource Constraints 403
This approach assumes, of course, that staff is free to support the performance of multiple activities at the same time (the idea behind parallel work). In cases in which we do not have sufficient people or other critical resources, we simply cannot work in a parallel mode. When projects are created without allowing for sufficient human resources, project teams are immediately placed in a difficult, reactive position. Personnel are multitasked with their other assignments, are expected to work long hours, and may not receive adequate training. Trade-offs between the duration of project activities (and usually the project’s overall schedule) and resource availability are the natural result.
In some situations, the physical constraints surrounding a project may be a source of serious concern for the company attempting to create the deliverable. Environmental or contractual issues can create some truly memorable problems; for example, the Philippine government contracted to develop a nuclear power plant for the city of Manila. Bizarrely, the site selected for its construction was against the backdrop of Mount Natib, a volcano on the outskirts of the city. As construction proceeded, environmentalists rightly condemned the choice, arguing that seismic activity could displace the operating systems of the reactors and lead to catastrophic results. Eventually, a com- promise solution was reached, in which the energy source for the power plant was to be converted from nuclear to coal. With the myriad problems the project faced, it became known as the “$2.2 Billion Nuclear Fiasco.”2 This case is an extreme example, but as we will continue to see, many real problems can accrue from taking a difficult project and attempting to develop it in hazardous or difficult physical conditions.
Materials are a common project resource that must be considered in scheduling. This is most obvious in a situation where a physical asset is to be created, such as a bridge, building, or other infrastructure project. Clearly, having a stockpile of a sufficient quantity of the various resources needed to complete the project steps is a key consideration in estimating task duration times.
Most projects are subject to highly constrained (fixed) budgets. Is there sufficient working capital to ensure that the project can be completed in the time frame allowed? It is a safe bet to assume that any project without an adequate budget is doomed.
Many projects require technical or specific types of equipment to make them successful. In developing a new magazine concept, for example, a project team may need leading-edge comput- ers with great graphics software to create glitz and glamour. Equipment scheduling is equally important. When equipment is shared across departments, it should be available at the precise time points in the project when it is needed. In house construction, for example, the cement mixer must be on site within a few days after the ground has been excavated and footers dug.
time and resource scarcity
In the time-constrained project, the work must be finished by a certain time or date, as efficiently as possible. If necessary, additional resources will be added to the project to hit the critical “launch window.” Obviously, the project should be completed without excessive resource usage, but this concern is clearly secondary to the ultimate objective of completing the project on time. For exam- ple, projects aimed at specific commercial launch or those in which late delivery will incur high penalties are often time constrained.
In the resource-constrained project, the work must not exceed some predetermined level of resource use within the organization. While the project is to be completed as rapidly as possible, speed is not the ultimate goal. The chief factor driving the project is to minimize resource usage. In this example, project completion delays may be acceptable when balanced against overapplication of resources.
The mixed-constraint project is primarily resource constrained but may contain some activi- ties or work package elements that are time constrained to a greater degree. For example, if critical delivery dates must be met for some project subcomponents, they may be viewed as time con- strained within the overall, resource-constrained project. In these circumstances, the project team must develop a schedule and resource management plan that works to ensure the minimization of resources overall while allocating levels necessary to achieve deadlines within some project components.
There is, for almost all projects, usually a dominant constraint that serves as the final arbiter of project decisions. Focusing on the critical constraint, whether it is resource-based or time-based, serves as a key starting point to putting together a resource-loaded schedule that is reasonable, mirrors corporate goals and objectives, and is attainable.3
404 Chapter 12 • Resource Management
The challenge of optimally scheduling resources across the project’s network activity dia- gram quickly becomes highly complex. On the one hand, we are attempting to create an efficient activity network that schedules activities in parallel and ensures the shortest development cycle possible. At the same time, however, we inevitably face the problem of finding and providing the resources necessary to achieve these optimistic and aggressive schedules. We are constantly aware of the need to juggle schedule with resource availability, trying to identify the optimal solution to this combinatorial problem. There are two equally critical challenges to be faced: (1) the identifica- tion and acquisition of necessary project resources, and (2) their proper scheduling or sequencing across the project baseline.4
example 12.1 Working with Project Constraints
Here is an example that shows what project teams face when they attempt to manage project re- sources. Suppose we created a simple project activity network based on the information given in Table 12.1. Figure 12.2 demonstrates a partial network diagram, created with Microsoft Project 2013. Note that the first three activities have each been assigned a duration of five days, so activi- ties B and C* are set to begin on the same date, following completion of activity A. Strictly from a schedule-development point of view, there may be nothing wrong with this sequence; unfortu- nately, the project manager set up the network in such a way that both these activities require the special skills of only one member of the project team. For that person to accomplish both tasks simultaneously, huge amounts of overtime are required or adjustments will need to be made to the estimated time to completion for both tasks. In short, we have a case of misallocated resources within the schedule baseline. The result is to force the project team to make a trade-off decision: either increase budgeted costs for performing these activities or extend the schedule to allow for the extra time needed to do both jobs at the same time. Either option costs the project two things it can least afford: time and money.
taBle 12.1 Activity Precedence table
Activity Description Duration Predecessors Member Assigned
A Assign Bids 5 days None Tom
B Document Awards 5 days A Jeff
C Calculate Costs 5 days A Jeff
D Select Winning Bid 1 day B, C Sue
E Develop PR Campaign 4 days D Carol
* Microsoft Project 2013 identifies activities B and C as tasks 2 and 3, respectively.
Start: Mon 6/9/14 ID: 4
Finish: Fri 6/13/14 Dur: 5 days
Res: Jeff
Calculate Costs
Start: Mon 6/9/14 ID: 3Start: Mon 6/9/14 ID: 2
Finish: Fri 6/13/14 Dur: 5 days
Res: Jeff
Finish: Fri 6/13/14 Dur: 5 days
Res: Tom
Document AwardsAssign Bids
Figure 12.2 Sample Activity Network with conflicts
12.2 Resource Loading 405
The best method for establishing the existence of resource conflicts across project activities uses resource-loading charts (described more fully in the next section) to analyze project resources against scheduled activities over the project’s baseline schedule. Resource-loading charts enable the project team, scheduling the work, to check their logic in setting resource requirements for proj- ect activities. A simplified MS Project 2013 resource usage table highlighting the resource conflict found in Figure 12.2 is shown in Figure 12.3.
Note what has happened to Jeff’s resource availability. The MS Project 2013 output file high- lights the fact that for a five-day period, Jeff is expected to work 16 hours each day to accomplish activities B and C simultaneously. Because the schedule in Figure 12.2 did not pay sufficient atten- tion to competing demands for his labor when the activity chart was created, the project team is now faced with the problem of having assigned his time on a grossly overallocated basis. Although simplified, this example is just one illustration of the complexity we add to project planning when we begin to couple activity network scheduling with resource allocation.
Figure 12.3 resource Usage table Demonstrating overallocation
Source: MS Project 2013, Microsoft Corporation
12.2 resource loading
The concept of resource loading refers to the amount of individual resources that a schedule requires during specific time periods.5 We can load, or place on a detailed schedule, resources with regard to specific tasks or the overall project. As a rule of thumb, however, it is generally beneficial to do both: to create an overall project resource-loading table as well as identify the resource needs for each individual task. In practical terms, resource loading attempts to assign the appropriate resource, to the appropriate degree or amount, to each project activity.
If we correlate the simple example, shown in somewhat greater detail in Figure 12.4, with the original project Gantt chart, we can see that these important first steps are incomplete until the subsequent resource assignments are made for each project activity. In Figure 12.4, we have tempo- rarily fixed the problem of Jeff’s overallocation by adding another resource, Bob, who has become responsible for activity C, (Calculate Costs).
Once we have developed the Work Breakdown Structure and activity networks, the actual mechanics of creating a resource-loading form (sometimes referred to as a resource usage calendar) is relatively simple. All personnel are identified and their responsibility for each task is assigned. Further, we know how many hours on a per-week basis each person is available. Again, using Microsoft Project’s 2013 template, we can create the resource usage table to reflect each of these pieces of information (see Figure 12.5).
Information in the resource usage table shown in Figure 12.5 includes the project team mem- bers, the tasks to which they have been assigned, and the time each activity is expected to take
406 Chapter 12 • Resource Management
across the schedule baseline. In this example, we have now reallocated the personnel to cover each task, thereby eliminating the overallocation problem originally uncovered in Figure 12.3. Team members are assigned to the project on a full-time (40 hours/week) basis, and the loading of their time commitments across these project activities corresponds to the project activity network, pro- viding, in essence, a time-phased view of the resource-loading table.
The resource usage table also can provide warning signs of overallocation of project resources. For example, suppose that Jeff was again allocated to both activities B and C, as in the example from earlier in this chapter. Simply viewing the original project schedule gives no indication of this resource overallocation. When we generate the resource usage table, however, we discover the truth (see Figure 12.6). In this example, Jeff is currently scheduled to work 80 hours over a one- week period (the week of June 8)—clearly a much-too-optimistic scenario regarding his capacity for work!
The benefit of the resource-loading process is clear; it serves as a “reality check” on the proj- ect team’s original schedule. When the schedule is subjected to resource loading, the team quickly becomes aware of misallocation of personnel, overallocation of team members, and, in some cases, lack of needed resources. Hence, the resource-loading process may point to obvious flaws in the original project WBS and schedule. How best to respond to resource-loading problems and other project constraints is the next question the project manager and team need to consider.
Figure 12.4 Sample Project Activity Network and Gantt charts
Source: MS Project 2013, Microsoft Corporation
Figure 12.5 resource Usage table
Source: MS Project 2013, Microsoft Corporation
12.3 Resource Leveling 407
12.3 resource leveling
resource leveling is the process that addresses the complex challenges of project constraints. With resource leveling we are required to develop procedures that minimize the effects of resource demands across the project’s life cycle. Resource leveling, sometimes referred to as resource smoothing, has two objectives:
1. To determine the resource requirements so that they will be available at the right time 2. To allow each activity to be scheduled with the smoothest possible transition across resource
usage levels
Resource leveling is useful because it allows us to create a profile of the resource requirements for project activities across the life cycle. Further, we seek to minimize fluctuations from period to period across the project. The farther in advance that we are able to anticipate and plan for resource needs, the easier it becomes to manage the natural flow from activity to activity in the project, with no downtime, while we begin searching for the resources to continue with project tasks. The key challenge consists of making prioritization decisions that assign the right amount of resources to the right activities at the right time.
Because resource management is typically a multivariate, combinatorial problem (i.e., one that is characterized by multiple solutions often involving literally dozens, hundreds, or even thousands of activity variables), the mathematically optimal solution may be difficult or infeasible to find due to the time required to solve all possible equation options. Hence, a more common approach to analyzing resource-leveling problems is to apply some leveling heuristics, or simpli- fied rules of thumb, when making decisions among resource-leveling alternatives.6
Some simple heuristics for prioritizing resource allocation include applying resources to:
1. Activities with the smallest amount of slack. The decision rule is to select for resource priority those activities with the smallest amount of slack time. Some have argued that this decision rule is the best for making priority decisions, resulting in the smallest schedule slippage to the overall project.7
2. Activities with the smallest duration. Tasks are ordered from smallest duration to largest, and resources are prioritized accordingly.
3. Activities with the lowest activity identification number. (e.g., those that start earliest in the WBS). This heuristic suggests that, when in doubt, it is better to apply resources to earlier tasks first.
4. Activities with the most successor tasks. We select for resource priority those tasks that have the most tasks following behind them.
5. Activities requiring the most resources. It is common to first apply resources to those activities requiring the most support, and then analyze the remaining tasks based on the availability of additional resources.
Figure 12.6 example of resource Usage table with overallocation
Source: MS Project 2013, Microsoft Corporation
408 Chapter 12 • Resource Management
Using these heuristics, let us consider a simple example and the method we would use to select the activities that get first “rights” to the resource pool. Suppose that a project has two activities (see Figure 12.7) scheduled that require the same resource at the same time. In deciding which activ- ity should receive first priority for available resources, we can follow the heuristic logic used in the first decision rule and examine tasks B and C first in terms of their respective amount of slack time. In this case, activity C, with three days of slack, would be the best choice for prioritizing the resource. However, suppose that activities B and C both had three days of slack. Then, according to the heuristic model, we could move to the second decision rule and award the first priority to activity B. Why? Because activity B has a scheduled duration of five days as opposed to activity C’s duration of six days. In the unlikely event that we discovered that a tie remained between activities B and C follow- ing the first two heuristics, we could apply the third heuristic and simply assign the resource to the task with the lowest identification number (in this case, activity B). As we will see, the implication of how resources are prioritized is significant, as it has a “ripple effect” on subsequent resource leveling throughout the remainder of the activity network.
example 12.2 An In-Depth Look at Resource Leveling
A more in-depth resource-leveling example illustrates the challenge project teams face when applying resource leveling to a constructed activity network. Suppose we constructed a proj- ect network diagram based on the information in Table 12.2. Using the process suggested in Chapter 9 we can also derive the early start (ES), late start (LS), early finish (EF), late finish (LF), and subsequent activity slack for each task in the network. Table 12.3 presents a complete set of data.
taBle 12.2 Activities, Durations, and Predecessors for Sample Project
Activity Duration Predecessors
A 5 —
B 4 A
C 5 A
D 6 A
E 6 B
F 6 C
G 4 D
H 7 E, F
I 5 G
J 3 G
K 5 H, I, J
A
4
4 B
5
3 C
6
Figure 12.7 Sample Network Applying resource Heuristics
12.3 Resource Leveling 409
taBle 12.3 fully Developed task table for Sample Project
Activity Duration eS ef lS lf Slack
A 5 0 5 0 5 —
B 4 5 9 6 10 1
C 5 5 10 5 10 —
D 6 5 11 8 14 3
E 6 9 15 10 16 1
F 6 10 16 10 16 —
G 4 11 15 14 18 3
H 7 16 23 16 23 —
I 5 15 20 18 23 3
J 3 15 18 20 23 5
K 5 23 28 23 28 —
Figure 12.8 Gantt chart for Sample Project
Source: MS Project 2013, Microsoft Corporation
B 4
A 5
D 6
C 5
E 6
F 6
G 4
J 3
I 5
H 7
K 5
Figure 12.9 Sample Project Network
Table 12.3 identifies the network critical path as A – C – F – H – K. Figure 12.8 presents a simpli- fied project Gantt chart that corresponds to the activities listed in the table, their durations, and their predecessors. This chart is based on the activity network shown in Figure 12.9. A more completely represented activity network is given in Figure 12.10, listing the ES, LS, EF, and LF for each activity. It is
410 Chapter 12 • Resource Management
now possible to create a resource-loading table by combining the information we have in Figures 12.8 and 12.10 with one additional factor: the resources required to complete each project activity.
Naturally, there is a direct relationship between the resources we can apply to a task and its ex- pected time to completion. For example, suppose that a task requiring one person working 40 hours per week is estimated to take two weeks (or 80 hours) to complete. Generally, we can modify the duration estimate, given adjustments to the projected resources available to work on the task. For example, if we can now assign two people to work full-time (40 hours) on the task, the new duration for the activity will be one week. Although the task will still require 80 hours of work to complete, with two full-time resources assigned, that 80 hours can actually be finished in one week of the project’s scheduled baseline.
Table 12.4 identifies the activities, their durations, total activity float (or slack), and most importantly, the number of hours per week that we can assign resources to the tasks. The time value is less than full-time to illustrate a typical problem: Because of other commitments, project team
0 A 5
0 5 5
5 B 9
6 4 10
5 C 10
5 5 10
5 D 11
8 6 14
9 E 15
10 6 16
10 F 16
10 6 16
11 G 15
14 4 18
16 H 23
16 7 23
15 I 20
18 5 23
15 J 18
20 3 23
23 K 28
23 5 28
Legend – ES ID LS
LS Dur. LF
Figure 12.10 Sample Project Network with early and late Start indicated
taBle 12.4 Activity float and resource Needs for the Sample Network
Activity Duration total float resource Hours
Needed per Week total resource Hours required
A 5 0 6 30 B 4 1 2 8 C 5 0 4 20 D 6 3 3 18 E 6 1 3 18 F 6 0 2 12 G 4 3 4 16 H 7 0 3 21 I 5 3 4 20 J 3 5 2 6 K 5 0 5 25
Total 194
12.3 Resource Leveling 411
members may be assigned to the project on a basis that is less than full-time. So, for example, activity A is projected to take five days, given resources assigned to it at six hours per day (or a total estimated task duration of 30 hours). Activity F is projected to take six days to complete with two hours per day assigned to it. The total resources required to complete this project within the projected time frame are 194 hours. Once this information is inserted into the project, it is now possible to follow a series of steps aimed at resource-leveling the activity network. These steps will be considered in turn.
step one: develop the resource-loading table
The resource-loading table is created through identifying the project activities and their resources required to completion and applying this information to the project schedule baseline. In its sim- plest form, the resource-loading table can be profiled to resemble a histogram, identifying hours of resource requirements across the project’s life (see Figure 12.11). However, a more comprehensive resource-loading table is developed in Figure 12.12. It assumes the project begins on January 1 and the activities follow in the order identified through the project Gantt chart. Note that the resources required per day for each activity are listed against the days of the project baseline schedule when they will be needed. These total resource hours are then summed along the bottom of the table to identify the overall resource profile for the project. Note further that resource requirements tend to move up and down across the baseline, peaking at a total of 10 hours of resources required on day 10 (January 12).
0
2
4
6
8
10
12
1 3 5 7 9 11 13 15 17 19 21 23 25 27
Project Days
R e s o
u rc
e R
e q
u ir e m
e n ts
Figure 12.11 resource Profile for Sample Project Network
Januar Fy ebruary
Activity 1 2 3 4 5 8 9 10 11 12 15 16 17 18 19 22 23 24 25 26 29 30 31 1 2 5 6 7
A 6 6 6 6 6
B 2 2 2 2
C 4 4 4 4 4
D 3 3 3 3 3 3
3E 3 3 3 3 3
2F 2 2 2 2 2
4G 4 4 4
3H 3 3 3 3 3 3
4I 4 4 4 4
2J 2 2
K 5 5 5 5 5
Total 6 6 6 6 6 9 9 9 9 10 8 9 9 9 9 8 9 9 7 7 3 3 3 5 5 5 5 5
Figure 12.12 resource-loading table for Sample Network
412 Chapter 12 • Resource Management
The advantage of developing a detailed resource profile is that it provides a useful visual demonstration of the projected resource requirements needed across the entire project baseline. It is possible to use this resource profile in conjunction with the resource-loading table to develop a strategy for optimal resource leveling.
step two: determine activity late Finish dates
The next step in the resource-leveling process consists of applying the additional information regard- ing activity slack and late finish dates to the resource-loading table (see Table 12.3). This modified table is shown in Figure 12.13. Note that in this figure, we can identify the activities with slack time and those that are critical (no slack time). The late finish dates for those activities with slack are included and are represented as brackets. Hence, activities B, D, E, G, I, and J are shown with late finish dates corresponding to the slack time associated with each task, while the late finish for the activities along the critical path (A – C – F – H – K) is identical to the activities’ early finish dates.
step three: identify resource overallocation
After the resource-loading table is completed and all activity late finish dates are embedded, the process of actual resource leveling can begin with an examination of the resource profile for the proj- ect. What we are looking for here are any points across the project baseline at which resources have been allocated beyond the maximum resource level available. For example, in Figure 12.13, note that the total resources needed (the summation along the bottom row) reveals the maximum needed for any day of the project falls on January 12, when tasks requiring 10 resource units are scheduled. The question project managers need to consider is whether this resource profile is acceptable or if it indi- cates trouble, due to an allocation of resources that will not be available. If, for example, the project is budgeted for up to 10 resource units per day, then this resource profile is acceptable. On the other hand, if resources are limited to some figure below the maximum found in the project’s resource pro- file, the project has an overallocation problem that must be addressed and corrected.
Certainly, at this point, the best-case scenario is to discover that resources have been allocated at or below the maximum across the project baseline. Given the nature of both time and resource project constraints, however, it is much more common to find situations of resource conflicts that require leveling. Suppose that in our sample project the maximum number of resource units avail- able on any day is nine. We have already determined that on January 12, the project is scheduled to require 10 units, representing an overallocation. The discovery of overallocations triggers the next step in the resource-leveling process, in which we correct the schedule to eliminate resource conflict.
step Four: level the resource-loading table
Once a determination has been made that the project baseline includes overallocated resources, an iterative process begins in which the resource-loading table is reconfigured to eliminate the resource contention points. The most important point to remember in resource leveling is that
Januar Fy ebruary
Activity 1 2 3 4 5 8 12 15 16 17 18 19 22 23 24 25 26 29 30 31 1 2 5 6 7
A 6 6 6 6 6 2 4 4 4 4
9 10 11
2B
4C
3D 3 3 3 3 3 3E 3 3 3 3 3
2F 2 2 2 2 2 4G 4 4 4
3H 3 3 3 3 3 3 4I 4 4 4 4 2J 2 2
K 5 5 5 5 5 Total 6 6 6 6 6 9 9 9 9 10 8 9 9 9 9 8 9 9 7 7 3 3 3 5 5 5 5 5 ( Late Finish)
2 2
Figure 12.13 resource-loading table for Sample Network When Activity float is included
12.3 Resource Leveling 413
a ripple effect commonly occurs when we begin to rework the resource schedule to eliminate the sources of resource conflict. This ripple effect will become evident as we work through the steps necessary to level the sample project.
phase one Using Figure 12.13, examine the conflict point, January 12, for the tasks that require 10 resource units. Tasks C, D, and E are all scheduled on this day and have resource unit commit- ments of 4, 3, and 3 hours respectively. Therefore, the first phase in resource leveling consists of identifying the relevant activities to determine which are likely candidates for modification. Next, which activity should be adjusted? Using the priority heuristic mentioned previously, first exam- ine the activities to see which are critical and which have some slack time associated with them. From developing the network, we know that activity C is on the critical path. Therefore, avoid reconfiguring this task if possible because any adjustment of its duration will adversely affect the overall project schedule. Eliminating activity C leaves us the choice of adjusting either activity D or activity E.
phase two Select the activity to be reconfigured. Both activities D and E have slack time associated with them. Activity D has three days of slack and activity E has one day. According to the rule of thumb, we might decide to leave activity E alone because it has the least amount of slack time. In this example, however, this option would lead to “splitting” activity D; that is, we would begin activity D on January 8, stop on the 12th, and then finish the last two days of work on January 15 and 16. Simply represent- ing this option, we see in Figure 12.14, which shows the Gantt chart for our project, that the splitting process complicates our scheduling process to some degree. Note further that the splitting does not lengthen the overall project baseline, however; with the three days of slack associated with this task, lagging the activity one day through splitting it does not adversely affect the final delivery date.
For simplicity’s sake, then, we will avoid the decision to split activity D for the time being, choosing the alternative option of adjusting the schedule for activity E. This option is also viable in that it does not violate the schedule baseline (there is slack time associated with this activity).
Figure 12.15 shows the first adjustment to the original resource-loading table. The three resource units assigned to activity E on January 12 are scratched and added back in at the end of the activity, thereby using up the one day of project slack for that activity. The readjusted resource- loading table now shows that January 12 no longer has a resource conflict, because the baseline date shows a total of seven resource units.
phase three After making adjustments to smooth out resource conflicts, reexamine the remain- der of the resource table for new resource conflicts. Remember that adjusting the table can cause ripple effects in that these adjustments may disrupt the table in other places. This exact effect has occurred in this example. Note that under the adjusted table (see Figure 12.15), January 12 no longer shows a resource conflict; however, the act of lagging activity E by one day would create a conflict on January 22, in which 11 resource units would be scheduled. As a result, it is necessary to go through the second-phase process once more to eliminate the latest resource conflict.
Here again, the candidates for adjustment are all project tasks that are active on January 22, including activities E, F, I, and J. Clearly, activities E and F should, if possible, be eliminated as first choices given their lack of any slack time (i.e., they both now reside on a critical path).
Figure 12.14 reconfiguring the Schedule by Splitting Activity D
Source: MS Project 2013, Microsoft Corporation
414 Chapter 12 • Resource Management
Adjusting (lagging) one day for either of the alternatives, activities I and J, will reduce the resource requirement to a level below the threshold, suggesting that either of these activities may be used. The earlier heuristic suggested that priority be given to activities with less slack time, so in this example we will leave activity I alone and instead lag the start of activity J by one day. Note that the resource totals summed across the bottom of the table (see Figure 12.15) now show that all activities are set at or below the cutoff level of nine resource hours per day for the project, complet- ing our task. Further, in this example, we were able to resource-level the project without adding additional dates to the project schedule or requiring additional resources; in effect, resource level- ing in this example violated neither a resource-constrained nor a time-constrained restriction.
Suppose, however, that our project operated under more stringent resource constraints; for example, instead of a threshold of nine hours per day, what would be the practical effect of resource-leveling the project to conform to a limit of eight hours per day? The challenge to a project manager now is to reconfigure the resource-loading table in such a way that the basic tenet of resource constraint is not violated. In order to demonstrate the complexity of this pro- cess, for this example, we will break the decision process down into a series of discrete steps as we load each individual activity into the project baseline schedule (see Table 12.5). Note the
Januar Fy ebruary
Activity 1 2 3 4 5 8 9 10 11 12 15 16 17 18 19 22 23 24 25 26 29 30 31 1 2 5 6 7
A 6 6 6 6 6 B 2 2 2 2 C 4 4 4 4 4 D 3 3 3 3 3 3
3E 3 3 3 3 3 3 2F 2 2 2 2 2
4G 4 4 4 3H 3 3 3 3 3 3
4I 4 4 4 4 2J 2 2 2
K 5 5 5 5 5 Total 6 6 6 6 6 9 9 7 8 9 9 9 9 9 9 9 9 7 3 3 3 5 5 5 5 5 ( Late Finish)
99
Figure 12.15 resource-leveling the Network table
taBle 12.5 Steps in resource leveling
Step Action
1 Assign Activity A to the resource table. 2 In selecting among Activities B, C, and D, employ the selection heuristic and prioritize C (critical
activity) and then B (smallest amount of slack). Load C and B into the resource table. Delay Activity D. 3 On January 12, load Activity D. D had 3 days slack and is loaded four days late. Total delay for
Activity D is 1 day. 4 On January 15, load Activities E and F (following completion of B and C). Prioritize F first (critical
activity), and then add E. Both activities finish on January 22, so overall critical path schedule is not affected. Total project delay to date = 0.
5 Because of resource constraints, Activity G cannot begin until January 23. G had 3 days slack and is loaded five days late, finishing on January 26. Total delay for Activity G is 2 days.
6 Load Activity H on January 23, following completion of Activities E and F. H is completed on January 31, so overall critical path schedule is not affected. Total project delay to date = 0.
7 Because of resource constraints, Activity I cannot begin until January 29. I is loaded five days late. Total delay for Activity I is 2 days (new finish date = February 2).
8 Because of resource constraints, Activity J cannot begin until February 1. Even with slack time, J is delayed 3 days, completing on February 5.
9 Activity K cannot be loaded until completion of predecessors H, I, and J. K begins on February 6 and completes on February 12. Total project delay = 3 days.
12.3 Resource Leveling 415
need, at times, to make sacrifices to the initial baseline schedule in order to maintain the nonvio- lation of the resource-loading limit.
Figure 12.16 pictures this resource-leveling example given in Table 12.4 with January and February stacked. As the steps in the table indicate, the determination of total project delay is not evident until all predecessor tasks have been loaded, resources leveled at the point each new activity is added to the table, and the overall project baseline schedule examined. Interestingly, note from this example that the project’s schedule did not show a delay through the inclusion of 8 of the 11 activities (through activity H). However, once activity H was included in the resource table, it was necessary to delay the start of activity J in order to account for the project resource constraint. As a result, the project’s baseline schedule was delayed through a combination of loss of project slack and the need to reassess the activity network in light of resource constraints. The overall effect of this iterative process was to delay the completion of the project by three days.
The extended example in this section illustrates one of the more difficult challenges that project managers face: the need to balance concern for resources with concern for schedule. In conform- ing to the new, restricted resource budget, which allows us to spend only up to eight resource units per day, the alternatives often revolve around making reasoned schedule trade-offs to account for limited resources. The project’s basic schedule dictates that any changes to the avail- ability of sufficient resources to support the activity network are going to involve lengthening the project’s duration. Part of the reason for this circumstance, of course, lies in the fact that this example included a simplified project schedule with very little slack built into any of the project activities. As a result, major alterations to the project’s resource base were bound to adversely affect the overall schedule.
January Total Slack Activity 1 2 3 4 5 8 9 10 11 12 15 16 17 18 19 22 23 24 25 26
0 A 6 6 6 6 6 1 B
2222 2
0 C 44444
1
2
D 3 3 3 3 3 3 0 E 3 3 3 3 3 3 0 F 2 2 2 2 2
4 4 4 4
3 3 3 3
7 7 7 7
2
G H
I
J
K
Total 6 6 6 6 6 6 6 66 7 8 8 8 8 8 5
February
Total Slack Activity 5 6 7 8 9
4 4 4 4 4
3 3 3
7 7 7 6 6
2 2
12 13 14 15 1629 30 31 1 2 17
A
B
C
D
E
F
G
0 H
�2 I
�3 J 2
�3 K 5 5 5 5 5
Total 2 5 5 5 5 5 � Original activity early start time
Figure 12.16 resource-loading table with lowered resource constraints
416 Chapter 12 • Resource Management
In summary, the basic steps necessary to produce a resource-leveled project schedule include the following:
1. Create a project activity network diagram (see Figure 12.10). 2. From this diagram, create a table showing the resources required for each activity, the activity
durations, and the total float available (see Table 12.4). 3. Develop a time-phased resource-loading table that shows the resources required to complete
each activity, the activity early starts, and the late finish times (Figure 12.13). 4. Identify any resource conflicts and begin to “smooth” the loading table using one or more of
the heuristics for prioritizing resource assignment across activities (Figure 12.15). 5. Repeat step 4 as often as necessary to eliminate the source of resource conflicts. Use your
judgment to interpret and improve the loading features of the table. Consider alternative means to minimize schedule slippage; for example, use overtime during peak periods.
12.4 resource-loading charts
Another way to create a visual diagram of the resource management problem is to employ resource- loading charts. resource-loading charts are used to display the amount of resources required as a function of time on a graph. Typically, each activity’s resource requirements are represented as a block (resource requirement over time) in the context of the project baseline schedule. Resource- loading charts have the advantage of offering an immediate visual reference point as we attempt to lay out the resources needed to support our project as well as smooth resource requirements over the project’s life.
Here is an example to illustrate how resource-loading charts operate. Suppose our resource profile indicated a number of “highs” and “lows” across the project; that is, although the resource limit is set at eight hourly resource units per day, on a number of days our actual resources employed are far less than the total available. The simplified project network is shown in Figure 12.17 and summarized in Table 12.6, and the corresponding resource-loading chart is shown in Figure 12.18. The network lists the early start and finish dates for each activity, as well as the resources required for each task for each day of work.
4 B 5 Res. = 2
4 C 7 Res. = 2
0 A 4 Res. = 6
5 D 9 Res. = 7
9 E 11 Res. = 3
11 F 12 Res. = 6
Figure 12.17 Sample Project Network
taBle 12.6 resource Staffing (Hourly Units) required for each Activity
Activity resource Duration early Start Slack late finish
A 6 4 0 0 4 B 2 1 4 0 5 C 2 3 4 4 11 D 7 4 5 0 9 E 3 2 9 0 11 F 6 1 11 0 12
12.4 Resource-Loading Charts 417
In constructing a resource-loading chart that illustrates the time-limited nature of resource scheduling, there are six main steps to follow:8
1. Create the activity network diagram (see Figure 12.17). 2. Produce a table for each activity, the resource requirements, the duration, early start time,
slack, and late finish time (see Table 12.6). 3. List the activities in order of increasing slack (or in order of latest finish time for activities
with the same slack). 4. Draw an initial resource-loading chart with each activity scheduled at its earliest start time,
building it up following the order shown in step 3. This process creates a loading chart with the most critical activities at the bottom and those with the greatest slack on the top.
5. Rearrange the activities within their slack to create a profile that is as level as possible within the guidelines of not changing the duration of activities or their dependence.
6. Use your judgment to interpret and improve activity leveling by moving activities with extra slack in order to “smooth” the resource chart across the project (see Figure 12.18).
Note that the early finish for the project, based on its critical path, is 12 days. However, when we factor in resource constraints, we find that it is impossible to complete all activities within their allocated time, causing the schedule to slip two days to a new early finish date of 14 days. Figure 12.18 illustrates the nature of our problem: Although the project allows for a total of eight hours per day for project activities, in reality, the manner in which the project network is set up relative to the resources needed to complete each task makes it impossible to use resources as efficiently as possible. In fact, during days 5 through 7, a total of only two resource hours is being used for each day.
A common procedure in resolving resource conflicts using resource-loading charts is to con- sider the possibility of splitting activities. As we noted earlier in the chapter, splitting an activity means interrupting the continuous stream of work on an activity at some midpoint in its develop- ment process and applying that resource to another activity for some period before returning the resource to complete the original task. Splitting can be a useful alternative technique for resource leveling provided there are no excessive costs associated with splitting the task. For example, large start-up or shutdown costs for some activities make splitting them an unattractive option.
To visually understand the task-splitting option, refer back to the Gantt chart created in Figure 12.14. Note that the decision there was made to split activity D in order to move the start of activity E forward. This decision was undertaken to make best use of constrained resources; in this case, there was sufficient slack in activity D to push off its completion and still not adversely affect the overall project schedule. In many circumstances, project teams seeking to make best use of available resources will willingly split tasks to improve schedule efficiency.
What would happen if we attempted to split activities, where possible, in order to make more efficient use of available resources? To find out, let us return to the activity network in Figure 12.17 and compare it with the resource-loading chart in Figure 12.18. Note that activity C takes three days to complete. Although activity C is not a predecessor for activity D, we cannot start D until C is completed, due to lack of available resources (day 5 would require nine resource hours when only eight are available). However, suppose we were to split activity C so that the task is started on day 4 and the balance is left until activity D is completed. We can shift part of this activity because it contains four days of slack. Figure 12.19 illustrates this alternative. Note that two days of
Project Days
2
2
4
6
8
4 6 8 10 12 14
R e s o
u rc
e s
A
C
B D
E
F
Figure 12.18 resource-loading chart for Sample Project
418 Chapter 12 • Resource Management
activity C are held until after D is completed, when they are performed at the same time as activity E. Because the final task, F, requires that both C and E be completed, we do not delay the start of activity F by splitting C. In fact, as Figure 12.19 demonstrates, splitting C actually makes more effi- cient use of available resources and, as a result, moves the completion date for the project two days earlier, from day 14 back to the originally scheduled day 12. This example illustrates the benefit that can sometimes be derived from using creative methods for better utilization of resources. In this case, splitting activity C, given its four days of slack time, enables the project to better employ its resources and regain the original critical path completion date.
A B D
E
F
C
C
Project Days
2
2
4
6
8
4 6 8 10 12 14
R e s o
u rc
e s
Figure 12.19 Modified resource-loading chart When Splitting task c
Box 12.1
Project Managers in Practice
Captain Kevin O’Donnell, U.S. Marine Corps
As a Marine officer, Captain Kevin O’Donnell has been working as a “project manager” for a number of years. As O’Donnell freely admits, at first glance, his duties do not seem to align with the traditional roles of project managers, and yet, the more we consider them, the more we can see that although the circumstances are unique, the principles and practices of project management remain applicable.
O’Donnell received a bachelor’s degree in Criminal Justice from The Citadel, The Military College of South Carolina, and was commissioned as a second lieutenant in the U.S. Marine Corps. He is currently posted as a project officer and company executive officer at Marine Barracks, Washington, DC, and also has been posted to the presidential retreat, Camp David, as the guard officer and company executive officer.
As a second and first Lieutenant, O’Donnell served in the Second Battalion, 6th Marine Regiment, as a platoon commander and company executive officer while completing two combat deployments to Fallujah, Iraq. Although his duties have been far-ranging, including leading a number of missions and duty assignments, in O’Donnell’s words, he prefers to focus on the way in which he has used project management in his career. Concepts such as a strategic vision, stakeholder management, scope of work, Work Breakdown Structure, tasks, time lines, and risk assessments are common to all projects, and the Marines use them daily during the planning of training, and while deployed and conducting combat operations.
As a platoon commander, O’Donnell was responsible for leading a force of 45 Marines during his first deployment to Iraq. They were tasked with conducting a variety of missions, and routinely engaged in vehicle and foot patrols, convoys, random house searches, and targeted raids on enemy personnel. O’Donnell notes:
Take, for example, an intelligence-driven targeted raid on a known insurgent. This situation, viewed as a “project,” required me as the platoon commander to analyze the area of operations and avail- able intelligence, generate a five-paragraph order that contained a mission statement, tasking state- ments, scheme of maneuver for the operation, and logistic considerations (very similar to a project vision, scope of work, and Work Breakdown Structure). Additionally, I would need to coordinate with all adjacent and subordinate units that would be affected by the mission, and brief senior members
12.4 Resource-Loading Charts 419
Figure 12.20 captain Kevin o’Donnell, USMc
of the chain of command (stakeholder management). I would also conduct an operational risk assessment, identifying issues that might arise during the execution of the mission, and enemy courses of action that may occur. Risks were prioritized, accepted, planned for, or mitigated. Finally, I would issue the order to my subordinate leaders in the platoon; they would, in turn, generate an order for their squad and issue it to them.
As the project manager for this mission, it was O’Donnell’s responsibility to ensure that everyone on his team knew what they were going to do, why they were going to do it, how they were going to get it done, and what the expected outcome was to be.
Moreover, scheduling with important milestones was part of O’Donnell’s duties. These time lines would be established during the plan, and more times than not, it was critical that they were met. Precombat checks and inspections would be conducted, along with rehearsals of the raid prior to beginning the mission. As the order to move was given, the platoon would step out of friendly lines and begin to patrol to the objective site. Upon reaching the objective, each subordinate unit (a squad) led by their squad leader would begin to seamlessly perform their portion of the raid. O’Donnell notes that communication, coordination, and control are critical during these types of operations. Many lessons learned come from after-action reviews, and more importantly, others can learn from what they had done well or poorly.
O’Donnell further describes his project management duties:
During my second deployment to Iraq, I was charged with planning and executing a large-scale com- pany operation called Operation Alljah. This operation encompassed a number of smaller missions, such as the raid example above. Additionally, it involved executing a nontraditional plan of action that had not been done before in the city of Fallujah. We partnered with the Iraqi Army and Fallujah Police to re-empower them, provide them with the required training and infrastructure needed to police and secure their own city, and ultimately transition the responsibility of this mission to them in order to provide the citizens of Fallujah with a safe and stable living environment. The mission encompassed just about every principle of project management. In addition to the ones identified above, this mis- sion required stakeholder management and increased stakeholder involvement, building and leading multicultural teams, breaking down language and cultural barriers, change management throughout the organization, command and control, and to a degree, selling the concept, creating ownership, and achieving “buy-in” amongst the team and the citizens. Strategic vision, described through our com- mander’s intent, was critical to this mission’s success. Our ability to build, refine, and execute a solid plan of action, while meeting critical milestones and time lines, significantly impacted the successful execution of the mission.
The ability of my subordinate leaders, and adjacent units, to seamlessly integrate and interact with each other and with their Iraqi counterparts played a significant role in the success of the organization
(continued )
420 Chapter 12 • Resource Management
12.5 managing resources in multiproject environments
Most managers of projects eventually will be confronted with the problem of dealing with resource allocation across multiple projects. The main challenge is one of interdependency: Any resource allocation decisions made in one project are likely to have ramifications in other projects. What are some of the more common problems we find when faced with this sort of interdependency among projects? Some of the better known problems include inefficient use of resources, resource bottlenecks, ripple effects, and the heightened pressure on personnel to multitask.9
Any system used to resolve the complex problems with multiproject resource allocation has to consider the need, as much as possible, to minimize the negative effects of three key parameters: (1) schedule slippage, (2) resource utilization, and (3) in-process inventory.10 Each of these param- eters forms an important challenge across multiple projects.
schedule slippage
For many projects, schedule slippage can be more than simply the realization that the project will be late; in many industries, it can also result in serious financial penalties. It is not uncommon for companies to be charged thousands of dollars in penalty clauses for each day a project is delayed past the contracted delivery date. As a result, one important issue to consider when making deci- sions about resource allocation across multiple projects is their priority based on the impact of schedule slippage for each individual project.
resource utilization
The goal of all firms is to use their existing pool of resources as efficiently as possible. Adding resources companywide can be expensive and may not be necessary, depending upon the manner in which the present resources are employed. To illustrate this point, let us reconsider the exam- ple of a resource-loading chart, shown in Figure 12.21, applied to a firm’s portfolio of projects rather than to just one project’s activities. In this load chart, top management can assign up to eight resource units for each week of their project portfolio. Even using a splitting methodology to bet- ter employ these resources, there are still some clear points at which the portfolio is underutilizing available resources. For example, in week 5, only four resource units have been employed. The shaded area in the load chart (Figure 12.21) shows the additional available resources not employed in the current project. To maximize the resource utilization parameter, we would attempt to assign the available resources on other, concurrent projects, thereby improving the overall efficiency with which we use project resources.
as a whole. We were forced to operate in a continually changing external environment, and our ability to effortlessly adapt and adjust our plan accordingly paid dividends to the mission’s success. Throughout the execution of this mission, stakeholder requirements changed, mission parameters were adjusted, internal and external environment dynamics shifted, and personnel and team compositions were ad- justed. However, at the end of it, through solid leadership at all levels of the chain of command, and fundamental execution of project management skills and principles, the mission was completed and dubbed a huge success. The city of Fallujah is now a self-secured and governed area of Iraq, and my battalion’s actions there were utilized as the role model for pacifying and defeating the insurgency in other cities throughout Iraq.
Although O’Donnell’s duties may not seem to be those of traditional project management, he is quick to point out that, in fact, the opposite is true. Carefully planned operations, defined objectives, clear strate- gies, and coordination and scheduling are all hallmarks of project management, and they form the critical processes for O’Donnell’s duties commanding Marines in a hostile environment. “At the end of the day, regard- less of industry, project management remains the same,” O’Donnell concludes. “Understanding the difference between leadership and management is critical. Knowing your internal and external environments, along with how to plan, task and manage personnel, maintain a budget and time lines, have a clear understanding of your objectives, how you must meet customer and stakeholder requirements, and achieving desired results, are critical to any project manager’s success.”
12.5 Managing Resources in Multiproject Environments 421
in-process inventory
The third standard for analyzing the optimal use of multiproject resources is to consider their impact on in-process inventory. in-process inventory represents the amount of work waiting to be completed but delayed due to unavailable resources. For example, an architectural firm may find several projects delayed because it only employs one checker responsible for final detailing of all blueprints. The projects stack up behind this resource bottleneck and represent the firm’s in- process inventory of projects. Excessive in-process inventory is often caused by a lack of available resources and represents the kinds of trade-off decisions companies have to make in multiproject environments. Should we hire additional resources in order to reduce our in-process inventory? If this problem is only temporary, will hiring additional resources lead to inefficient resource allo- cation later on?
In effect, project organizations often have to strike an appropriate balance across the three parameters: schedule slippage, resource allocation, and in-process inventory. The steps necessary to improve one measure may have negative effects on one or more of the other standards. For example, steps to maximize resource allocation may provoke schedule slippage or increase in-pro- cess inventory. Any strategies we use to find a reasonable balance among these parameters must recognize the need to juggle multiple competing demands.
resolving resource decisions in multiproject environments
The challenge of scheduling resources in multiproject environments has to do with the need to work on two levels to achieve maximum efficiency. First, with multiple projects, we have to make considered decisions regarding which projects should be assigned highest priority to resources. However, it is also vital to recognize that we are often required to schedule the activities of mul- tiple projects simultaneously. Consider the resource-loading chart in Figure 12.21. On one level, we can see that this chart has scheduled projects A through G across 12 weeks. Project A will take the majority of resources for the first four weeks. However, during the fourth week, we have sched- uled two projects at the same time (B and C). We must now work to balance their individual activ- ity resource requirements so that both projects can be completed during the same time period. This figure illustrates the nature of the problem: On a larger level, resource allocation across multiple projects requires us to schedule projects in order to most efficiently use our resources. However, on another level, when projects compete for resources at the same time, we need to work to ensure that we can prioritize our resources across them to maximize their availability.
There are a number of potential methods for resolving resource allocation challenges in a multiproject setting, ranging from highly simplified heuristics to more complex mathematical pro- gramming options. The goal of each technique is to make the most efficient use of resources across multiple projects, often with competing requirements and priorities.
First in line The simplest rule of thumb for allocating resources is to prioritize on the basis of which projects entered the queue first. This “first come, first served” approach is easy to employ, because it simply follows the master project calendar. When resource allocation decisions need to be made, they can be done quickly by comparing the starting dates of the projects in question. Unfortunately, this technique ignores any other important information that may suggest the need
Project Weeks
2
2
4
6
8
4 6 8 10 12 14
R e s o
u rc
e s
Project A B Project D
F
G
C
E
Figure 12.21 resource-loading chart Across Multiple Projects
422 Chapter 12 • Resource Management
to reorder the resource allocation process, such as strategic priorities, emergency or crisis situa- tions, or projects with higher potential for commercial success. The first-in-line option can cause companies to underallocate resources to potentially high-payoff projects purely on the basis of when they were authorized, relative to earlier and less useful projects.
greatest resource demand This decision rule starts by determining which projects in the company’s portfolio will pose the greatest demand on available resources. Those projects that require the most resources are first identified and their resources are set aside. Once they have been prioritized and resources allocated, the company reexamines the remaining pool of projects and selects those with the next highest resource demands until the available pool is exhausted. The logic of the greatest-resource-demand approach is to recognize that resource bottlenecks are likely to spring from unexpected peaks in resource needs relative to the number of projects under development. Consequently, this approach identifies these possible bottlenecks and uses them as the starting point for additional resource allocation.
greatest resource utilization A variation of the greatest-resource-demand heuristic is to allocate resources in order to ensure the greatest use of project resources, or in order to minimize resource idle time. For example, an organization may seek to prioritize three projects, A, B, and C, across a resource pool made up of programmers, system analysts, and networking staff. Although project A requires the most resources for completion, it does not require any work from the system analyst resource pool. On the other hand, project B does not require as many total resources for completion, but it does need to utilize members of all three resource pool groups, that is, program- mers, system analysts, and network specialists. As a result, the company may elect to prioritize project B first in order to ensure that all resources are being utilized to the greatest possible degree.
minimum late Finish time This rule stipulates that resource priority should be assigned to activities and projects on the basis of activity finish dates. The earliest late finishers are scheduled first. Remember that “late finish” refers to the latest an activity can finish without compromising the overall project network by lengthening the critical path. The goal of this heuristic is to examine those project activities that have extra slack time as a result of later late finish dates and prioritize resources to the activities with minimal slack, that is, early late finish dates.
mathematical programming Math programming can be used to generate optimal solutions to resource-constrained problems in the multiproject setting, just as it can be employed for single projects. The common objectives that such models seek to maximize are:11
1. Minimize total development time for all projects 2. Minimize resource utilization across all projects 3. Minimize total lateness across all projects
These goals are subject to the resource constraints that characterize the nature of the problem, including: (1) limited resources, (2) precedence relationships among the activities and projects, (3) project and activity due dates, (4) opportunities for activity splitting, (5) concurrent versus noncon- current activity performance requirements, and (6) substitution of resources to assign to activities. Although mathematical programming is a worthy approach to resolving the constrained resource problem in either a single or multiproject setting, its use tends to be limited depending on the complexity of the problem, the large number of computational variables, and the time necessary to generate a sufficiently small set of options.
Resource management in projects is a problem that is frequently overlooked by novice proj- ect managers or in firms that have not devoted enough time to understanding the full nature of the project management challenge they face. As noted, it is common to develop project plans and schedules under the assumption of unlimited resources, as if the organization can always find the trained personnel and other resources necessary to support project activities no matter how commit- ted they currently are to project work. This practice inevitably leads to schedule slippages and extra costs as the reality of resource availability overshadows the optimism of initial scheduling. In fact, resource management represents a serious step in creating reasonable and accurate estimates for project activity durations by comparing resources needed to undertake an activity to those available at any point in time. Further, resource management recognizes the nature of time/cost trade-offs
that project managers are frequently forced to make. The extra resources necessary to accomplish tasks in a timely fashion do not come cheap, and their expense must be balanced against too aggres- sive project schedules that put a premium on time without paying attention to the budget impact they are likely to have.
Resource management is an iterative process that can be quite time-consuming. As we bal- ance our activity network and overall schedule against available resources, the inevitable result will be the need to make adjustments to the network plan, rescheduling activities in such a way that they have minimal negative effect on the overall activity network and critical path. Resource leveling, or smoothing, is a procedure that seeks to make resource scheduling easier through mini- mizing the fluctuations in resource needs across the project by applying resources as uniformly as possible. Thus, resource management can make project schedules more accurate while allowing for optimal scheduling of project resources. Although this process can take time early in the project planning phase, it will pay huge dividends in the long run, as we create and manage project plans based on meaningful resource requirements and duration estimates rather than wishful thinking.
Summary
1. recognize the variety of constraints that can affect a project, making scheduling and planning difficult. Effectively managing the resources for projects is a complex challenge. Managers must first recognize the wide variety of constraints that can adversely affect the efficient planning of sched- uling of projects, including technical constraints, resource constraints, and physical constraints. Among the set of significant resource constraints are project personnel, materials, money, and equip- ment. A reasonable and thorough assessment of both the degree to which each of these resource types will be needed for the project and their avail- ability is critical for supporting project schedules.
2. Understand how to apply resource-loading tech- niques to project schedules to identify potential resource overallocation situations. Resource load- ing is a process for assigning the resource require- ments for each project activity across the baseline schedule. Effective resource loading ensures that the project team is capable of supporting the schedule by ensuring that all activities identified in the sched- ule have the necessary level of resources assigned to support their completion within the projected time estimates. We can profile the resource requirements for a project across its life cycle to proactively plan for the needed resources (both in terms of type of resource and amount required) at the point in the project when activities are scheduled to be accom- plished. One effective, visual method for resource planning utilizes resource-leveling techniques to “block out” the activities, including required resource commitment levels, across the proj- ect’s baseline schedule. Resource leveling offers a useful heuristic device for recognizing “peaks and valleys” in our resource commitment over time that can make resource scheduling problematic.
3. Apply resource-leveling procedures to proj- ect activities over the baseline schedule using
appropriate prioritization heuristics. We employ “resource-smoothing” techniques in an effort to minimize the problems associated with exces- sive fluctuations in the resource-loading diagram. Resource smoothing minimizes these fluctuations by rescheduling activities in order to make it eas- ier to apply resources continuously over time. The first step in resource leveling consists of identifying the relevant activities to determine which are likely candidates for modification. The next question to resolve is: Which activity should be adjusted? Using the priority heuristic mentioned previously, we would first examine the activities to see which are critical and which have some slack time associated with them. The second step is to select the activity to be reconfigured. According to the rule of thumb, we first select the activities with the most slack time for reconfiguration.
4. follow the steps necessary to effectively smooth resource requirements across the project life cycle. In constructing a resource-loading chart that illus- trates the time-limited nature of resource schedul- ing, there are six main steps to follow: (1) Create the activity network diagram for the project; (2) produce a table for each activity that includes the resources required, the duration, and the early start time, slack, and late finish time; (3) list the activi- ties in order of increasing slack (or in order of latest finish time for activities with the same slack); (4) draw an initial resource-loading chart with each activity scheduled at its earliest start time, building it up following the order shown in step 3, to create a loading chart with the most critical activities at the bottom and those with the greatest slack on the top; (5) rearrange the activities within their slack to cre- ate a profile that is as level as possible within the guidelines of not changing the duration of activi- ties or their dependence; and (6) use judgment to interpret and improve activity leveling by moving
Summary 423
424 Chapter 12 • Resource Management
activities with extra slack in order to “smooth” the resource chart across the project.
5. Apply resource management within a multipro- ject environment. Resource management is a far more complex activity when we consider it within a multiproject environment, that is, when we try to schedule resources among multiple projects that are all competing for a limited supply of resources. In such circumstances, a number of options are available to project managers to find the optimal
balance between multiple competing projects and finite resources. Among the decision heuristics we can employ in making the resource allocation deci- sions are those which choose on the basis of (1) which projects are first in line, (2) which projects have the greatest resource demand, (3) which proj- ects will enable our firm to use the greatest resource utilization, (4) which will enable us to reach the goal of minimizing late finish times, and (5) through the use of mathematical programming.
Key Terms
In-process inventory (p. 421) Leveling heuristics (p. 407) Mixed-constraint project (p. 403) Physical constraints (p. 403)
Resource-constrained project (p. 403) Resource constraints (p. 402) Resource leveling (p. 407)
Resource loading (p. 405) Resource-loading charts (p. 416) Resource-loading table (p. 411)
Resource usage table (p. 405) Smoothing (p. 407) Splitting activities (p. 417) Time-constrained project (p. 403)
Solved Problem
Consider the resource-loading table shown here. Assume that we cannot schedule more than eight hours of work during any day of the month.
a. Can you identify any days that involve resource conflicts? b. How would you reconfigure the loading table to resolve
these resource conflicts?
june
Activity 1 2 3 4 5 8 9 10 11 12 15 16 17 18 19 22 23 24 25 26
A 4 4 4 4 4⎦ B 4 4 4 ⎦ C 4 4 4 4 4⎦ D 3 3 3 3 3 3 ⎦ E 3 3 3 3 3 ⎦ F 2 2 2 2 2 2⎦ G 4 4 4 4 ⎦
SoLuTIon
june
Activity 1 2 3 4 5 8 9 10 11 12 15 16 17 18 19 22 23 24 25 26
A 4 4 4 4 4⎦ B 4 4 4 ⎦ C 4 4 4 4 4⎦ D 3 3 3 3 3 3 3 3 3 ⎦ E 3 3 3 3 3 ⎦ F 2 2 2 2 2 2⎦ G 4 4 4 4 4 4 4 4 ⎦
Total 4 4 4 4 4 8 8 8 7 7 8 8 8 8 5 6 4 4 4
a. According to the resource-loading table, the dates June 8, 9, and 10 are all overallocated (11 hours), as are June 16, 17, 18, and 19 (9 hours).
b. One solution for leveling the resource-loading table is by taking advantage of slack time available in activities D and
G and moving these activities later in the schedule to corre- spond with their late finish dates (see the resource-loading table shown below).
Discussion Questions
12.1 Consider a project to build a bridge over a river gorge. What are some of the resource constraints that would make this project challenging?
12.2 For many projects, the key resources to be managed are the project team personnel. Explain in what sense and how project team personnel are often the project’s critical resource.
12.3 What is the philosophy underlying resource loading? What does it do for our project? Why is it a critical element in effectively managing the project plan?
12.4 It has been argued that a project schedule that has not been resource-leveled is useless. Do you agree or disagree with this statement? Why or why not?
12.5 Discuss the nature of “time/cost trade-offs” on projects. What does this concept imply for our project management practices?
12.6 When resource-leveling a project, a number of heuristics can help us prioritize those activities that should receive
resources first. Explain how each of the following heuris- tics works and give an example: a. Activities with the smallest slack b. Activities with the smallest duration c. Activities with the lowest identification number d. Activities with the most successor tasks e. Activities requiring the most resources
12.7 Multitasking can have an important negative impact on your ability to resource-level a project. When team members are involved in multiple additional commitments, we must be careful not to assign their time too optimistically. In fact, it has been said: “Remember, 40 hours is not the same as one week’s work.” Comment on this idea. How does multitask- ing make it difficult to accurately resource-level a project?
12.8 Why is resource management significantly more difficult in a multiproject environment? What are some rules of thumb to help project managers better control resources across several simultaneous projects?
Problems
12.1 Consider a project Gantt chart with the following condi- tions (see Figure 12.22). Susan is your only programmer and she is responsible for Activities 3 and 4, which over- lap. In resource-leveling the project so that Susan is only working a maximum of 8 hours each day, what would the new Gantt chart look like? What would be the new project completion date?
12.2 Referring to Figure 12.22, how would splitting Activity 3 on July 1 to complete Activity 4 and then finish Activity 3 affect the revised project completion date? Show your work. Do you recommend splitting Activity 3 or allow Susan to first complete it and then perform Activity 4? Which strategy would allow the project to finish sooner? Why?
12.3 Refer to the Gantt chart in Figure 12.23. Bob and George are carpenters who have been scheduled to work on the construction of a new office building. Just before the start of the project, George is injured in an accident and cannot work this job, leaving Bob to handle his own activities as well as George’s. Resource level this Gantt chart with Bob now responsible for Activities 3, 4, 6, and 7. What is the new projected completion date for the project?
12.4 Referring to Figure 12.23, suppose you have the opportu- nity to hire two new carpenters to perform George’s tasks (shortening them by 50%). What would be the new pro- jected completion date for the project? Would it be worth it to you to hire two replacement carpenters instead of just one? Show your work.
Figure 12.22 Problem 1
Source: MS Project 2013, Microsoft Corporation
Problems 425
426 Chapter 12 • Resource Management
For Problems 5–9, consider a project with the following information:
Activity Duration Predecessors
A 3 — B 5 A C 7 A D 3 B, C E 5 B F 4 D G 2 C H 5 E, F, G
Activity Duration eS ef lS lf Slack
A 3 0 3 0 3 — B 5 3 8 5 10 2 C 7 3 10 3 10 — D 3 10 13 10 13 — E 5 8 13 12 17 4 F 4 13 17 13 17 — G 2 10 12 15 17 5 H 5 17 22 17 22 —
Activity Duration total float
resource Hours
Needed per Week
total resources required
A 3 weeks — 6 18 B 5 weeks 2 4 20 C 7 weeks — 4 28 D 3 weeks — 6 18 E 5 weeks 4 2 10 F 4 weeks — 4 16 G 2 weeks 5 3 6 H 5 weeks — 6 30
Total 146
12.5 Construct the project activity network using AON methodology.
12.6 Identify the critical path and other paths through the network.
12.7 Create a time-phased resource-loading table for this project, identifying the activity early start and late finish points.
12.8 Assume that there is a maximum of eight resource hours per week available for the project. Can you identify any weeks that have resource overcommitments?
12.9 Resource-level the loading table. Identify the activity that can be rescheduled and reconfigure the table to show this reallocation.
Figure 12.23 Problem 3
Source: MS Project 2013, Microsoft Corporation
12.10 Consider the partial resource-loading chart shown below. Suppose that you can commit a maximum of eight re- source hours per day. a. What are the dates on which project resources are over-
allocated? b. How should the resource-loading table be reconfig-
ured to correct for this overallocation?
c. Now suppose that the maximum number of resource hours per day you can commit is reduced to six. How would you reconfigure the resource-loading table to adjust for this number? What would be the new project completion date?
CASe STuDy 12.1 The Problems of Multitasking
An eastern U.S. financial services company found itself way behind schedule and over budget on an important strategic program. Both the budget and schedule base- lines had begun slipping almost from the beginning, and as the project progressed, the lags became severe enough to require the company to call in expert help in the form of a project management consulting firm. After investigating the organization’s operations, the consulting firm determined that the primary source of problems both with this project in particular and the company’s project management practices in general was a serious failure to accurately forecast resource requirements. In the words of one of the consultants, “Not enough full-time [human] resources had been dedicated to the program.”
The biggest problem was the fact that too many of the project team members were working on two or more projects simultaneously—a clear example of mul- titasking. Unfortunately, the program’s leaders devel- oped their ambitious schedule without reflecting on
the availability of resources to support the project mile- stones. With their excessive outside responsibilities, no one was willing to take direct ownership of their work on the program, people were juggling assignments, and everyone was getting farther behind in all the work. Again, in the words of the consultant, “Project issues would come up and there would be nobody there to handle them [in a timely fashion].” Those little issues, left unattended, eventually grew to become big prob- lems. The schedule continued to lag, and employee morale began to bottom out.
Following their recognition of the problem, the first step made by the consultants was to get top man- agement to renegotiate the work assignments with the project team. First, the core team members were freed from other responsibilities so they could devote their full-time attention to the program. Then, other support members of the project were released from multitasking duties and assigned to the project on a full-time or near full-time basis as well. The result, coupled with other
Case Study 12.1 427
428 Chapter 12 • Resource Management
suggested changes by the consultants, was to finally match up the project’s schedule and activity duration estimates with a realistic understanding of resources needs and availability. In short, the program was put back on track because it was finally resource-leveled, particularly through creating full-time work assign- ments for the project team that accurately reflected the need to link resource management with scheduling.12
Questions
1. How does multitasking confuse the resource availability of project team personnel?
2. “In modern organizations, it is impossible to eliminate multitasking for the average employee.” Do you agree or disagree with this statement? Why?
3. Because of the problems of multitasking, project managers must remember that there is a differ- ence between an activity’s duration and the proj- ect calendar. In other words, 40 hours of work on a project task is not the same thing as one week on the baseline schedule. Please comment on this concept. Why does multitasking “decou- ple” activity duration estimates from the project schedule?
12.1 Access www.fastcompany.com/magazine/87/project-man agement.html. What suggestions does the author offer for managing the pressures to multitask? The author suggests the need to “multiproject.” What is her point about the idea of learning how to multiproject?
12.2 Search the Web for examples of projects that suffer from each of the following: a. Time constraints b. Resource constraints c. Mixed constraints
For each of these examples, cite evidence of the types of constraints you have identified. Is there evidence of how the project is working to minimize or resolve these constraints?
12.3 Access Web sites related to the Boston tunnel project known as the “Big Dig.” Describe the problems that the project had. How did resource management play a role in the severe delays and cost overruns associated with the project?
Internet exercises
Exercise 12.1
Refer to the activity network table shown below. Enter this in- formation using MS Project to produce a Gantt chart. Assume that each resource has been assigned to the project activity on a full-time (8 hours/day or 40 hours/week) basis.
Activity Duration Predecessors resource Assigned
A. User survey 4 None Gail Wilkins B. Coding 12 A Tom Hodges C. Debug 5 B Wilson Pitts D. Design interface 6 A, C Sue Ryan E. Develop training 5 D Reed Taylor
Exercise 12.2
Using the information from Exercise 12.1, produce a resource usage sheet that identifies the total number of hours and daily commitments of each project team member.
Exercise 12.3
Refer to the activity network table shown in Exercise 12.1. Suppose that we modified the original table slightly to show
the following predecessor relationships between tasks and resources assigned to perform these activities. Enter this infor- mation into MS Project to produce a Gantt chart. Assume that each resource has been assigned to the project activity on a full-time (8 hours/day or 40 hours/week) basis.
Activity Duration Predecessors resource Assigned
A. User survey 4 None Gail Wilkins B. Coding 12 A Tom Hodges C. Debug 5 A Tom Hodges D. Design interface 6 B, C Sue Ryan E. Develop training 5 D Reed Taylor
a. Using the Resource Usage view, can you determine any warning signs that some member of the project team has been overassigned?
b. Click on the Task Usage view to determine the specific days when there is a conflict in the resource assignment schedule.
Exercise 12.4
Using the information provided in Exercise 12.3, how might you resource-level this network to remove the conflicts? Show how you would resource-level the network. From a schedule perspective, what is the new duration of the project?
MS Project exercises
PMP certificAtion sAMPle QUestions
1. The project manager identifies 20 tasks needed to com- plete her project. She has four project team members available to assign to these activities. The process of as- signing personnel to project activities is known as:
a. Resource leveling b. Resource loading c. Finding the critical path d. Creating a Work Breakdown Structure (WBS)
2. The correct definition of resource leveling is: a. A graph that displays the resources used over time
on a project b. The process of applying resources to a project’s
activities c. The process of creating a consistent (level) work-
load for the resources on the project, driven by resource constraints
d. A project schedule whose start and finish dates reflect expected resource availability
3. Project resource constraints can involve any of the fol- lowing examples:
a. Poorly trained workers b. Lack of available materials for construction c. Environmental or physical constraints of the proj-
ect site itself d. All of the above would be considered examples of
project resource constraints
4. When adopting resource-leveling heuristics, which of the following are relevant decision rules?
a. The activities with the least slack time should have resources allocated to them first
b. The activities with the longest duration are the best candidates for receiving extra resources
c. Activities with the fewest successor tasks should have resource priority
d. Activities with the highest WBS identification numbers are the first to receive available resources
5. One of the benefits of resource-loading charts is that they: a. Represent a method for finding available activity
slack b. Graphically display the amount of resources re-
quired as a function of time c. Help resolve resource conflicts in multiproject
settings d. All of the above are benefits of using resource-
loading charts
Answers: 1. b—The act of assigning personnel to specific project activities is usually referred to as resource loading; 2. c—Resource leveling involves smoothing, or creating con- sistent workloads across the project schedule for the avail- able resources; 3. d—Project resources can include people, physical conditions, and material resources; therefore, all of the examples cited represent project resource constraints; 4. a—As a useful resource-leveling heuristic, the activities with the least slack time should have resources allocated to them first; 5. b—Resource-loading charts are a graphic means of identifying resource requirements as a function of the project’s duration; they can help visually identify over- loads or inefficient undercommitment of resources.
MS Project Exercises 429
430 Chapter 12 • Resource Management
iNteGrAteD Project
Managing Your Project’s resources You have an important task here. Now that you have created a network plan, including a schedule for your project, it is vital to resource-level the plan. Develop a resource-loading chart for your project. As you do this, keep in mind the budget you created for your plan and the personnel you have selected for the project team. Your resource-leveling procedure must be congruent with the project schedule (as much as possible) while maintaining your commitment to the use of the project resources you are intending to employ.
Remember that the key to doing this task efficiently lies in being able to maximize the use of project resources while having a minimally disruptive effect on your initial project schedule. As a result, it may be necessary to engage in several iterations of the resource-leveling process as you begin to shift noncritical tasks to later dates in order to maximize the use of personnel without disrupting the delivery date for the project. For simplicity’s sake, you may assume that your resources for the project are committed to you at 100% of their work time. In other words, each resource is capable of working 40 hours each week on this project.
Create the resource-leveling table. Be sure to include the schedule baseline along the horizontal axis. What was your initial baseline? How did resource-leveling your project affect the baseline? Is the new pro- jected completion date later than the original date? If so, by how much?
1. Cullen, J. (2013, June 16). “Second West-East Gas Pipeline set to start Hong Kong supplies this summer,” South China Morning Post. www.scmp.com/lifestyle/technol- ogy/article/1261619/second-west-east-gas-pipeline-set- start-hong-kong-supplies; Project Management Institute. (2014, April). “Hong Kong Natural Gas Pipeline.” www.pmi.org/Business-Solutions/~/media/PDF/ Case%20Study/HK_Pipeline_casestudy_v3.ashx Project Management Institute, Hong Kong Natural Gas Pipeline. Project Management Institute, Inc. (2014) Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
2. Dumaine, B. (1986, September 1). “The $2.2 billion nuclear fiasco,” Fortune, 114: 14–22.
3. Raz, T., and Marshall, B. (1996). “Effect of resource constraints on float calculation in project networks,” International Journal of Project Management, 14(4): 241–48.
4. Levene, H. (1994, April). “Resource leveling and rou- lette: Games of chance—Part 1,” PMNetwork, 7; Levene, H. (1994, July). “Resource leveling and roulette: Games of chance—Part 2,” PMNetwork, 7; Gordon, J., and Tulip, A. (1997). “Resource scheduling,” International Journal of Project Management, 15: 359–70; MacLeod, K., and Petersen, P. (1996). “Estimating the tradeoff between resource allo- cation and probability of on-time completion in project management,” Project Management Journal, 27(1): 26–33.
5. Meredith, J. R., and Mantel, Jr., S. J. (2003). Project Management: A Managerial Approach, 5th ed. New York: Wiley and Sons.
6. Fendley, L. G. (1968, October). “Towards the develop- ment of a complete multiproject scheduling system,”
Journal of Industrial Engineering, 19, 505–15; McCray, G. E., Purvis, R. L., and McCray, C. G. (2002). “Project management under uncertainty: The impact of heu- ristics and biases,” Project Management Journal, 33(1): 49–57; Morse, L. C., McIntosh, J. O., and Whitehouse, G. E. (1996). “Using combinations of heuristics to sched- ule activities of constrained multiple resource projects,” Project Management Journal, 27(1): 34–40; Woodworth, B. M., and Willie, C. J. (1975). “A heuristic algorithm for resource leveling in multiproject, multiresource sched- uling,” Decision Sciences, 6: 525–40; Boctor, F. F. (1990). “Some efficient multi-heuristic procedures for resource- constrained project scheduling,” European Journal of Operations Research, 49: 3–13.
7. Fendley, L. G. (1968), as cited in note 6. 8. Field, M., and Keller, L. (1998). Project Management.
London: The Open University; Woodworth, B. M., and Shanahan, S. (1988). “Identifying the critical sequence in a resource-constrained project,” International Journal of Project Management, 6(2): 89–96; Talbot, B. F., and Patterson, J. H. (1979). “Optimal models for schedul- ing under resource constraints,” Project Management Quarterly, 10(4), 26–33.
9. Gray, C. F., and Larson, E. W. (2003). Project Management, 2nd ed. Burr Ridge, IL: McGraw-Hill.
10. Meredith, J. R., and Mantel, Jr., S. J. (2003), as cited in note 5.
11. Meredith, J. R., and Mantel, Jr., S. J. (2003), as cited in note 5.
12. Weaver, P. (2002). “Vanquishing PM nightmares,” PMNetwork, 16(1): 40–44.
notes
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1 3 ■ ■ ■
Project Evaluation and Control
Chapter Outline Project Profile
New York City’s CityTime Project introduction 13.1 control cycles—A GenerAl Model 13.2 MonitorinG Project PerforMAnce
The Project S-Curve: A Basic Tool S-Curve Drawbacks Milestone Analysis Problems with Milestones The Tracking Gantt Chart Benefits and Drawbacks of Tracking Gantt
Charts 13.3 eArned VAlue MAnAGeMent
Terminology for Earned Value Creating Project Baselines Why Use Earned Value? Steps in Earned Value Management Assessing a Project’s Earned Value
13.4 usinG eArned VAlue to MAnAGe A Portfolio of Projects
Project Profile Earned Value at Northrop Grumman
13.5 issues in the effectiVe use of eArned VAlue MAnAGeMent
13.6 huMAn fActors in Project eVAluAtion And control Critical Success Factor Definitions Conclusions
Summary Key Terms Solved Problem Discussion Questions Problems Case Study 13.1 The IT Department at Kimble College Case Study 13.2 The Superconducting Supercollider Case Study 13.3 Boeing’s 787 Dreamliner: Failure to
Launch Internet Exercises MS Project Exercises PMP Certification Sample Questions Appendix 13.1 Earned Schedule Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Understand the nature of the control cycle and four key steps in a general project control model. 2. Recognize the strengths and weaknesses of common project evaluation and control methods. 3. Understand how Earned Value Management can assist project tracking and evaluation. 4. Use Earned Value Management for project portfolio analysis. 5. Understand behavioral concepts and other human issues in evaluation and control. 6. From Appendix 13.1: Understand the advantages of Earned Schedule methods for determining
project schedule variance, schedule performance index, and estimates to completion.
432 Chapter 13 • Project Evaluation and Control
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Control Schedule (PMBoK sec. 6.7) 2. Control Costs (PMBoK sec. 7.4) 3. Earned Value System (PMBoK sec. 7.4.2.1) 4. Forecasting (PMBoK sec. 7.4.2.2) 5. Performance Reviews (PMBoK sec. 7.4.2.4)
Figure 13.1 New York City
Source: Janniswerner/Fotolia
ProjeCt Profile
New York City’s Citytime Project
“… virtually all of the $600 million that the City paid to SAIC for CityTime was tainted, directly or indirectly, by fraud.” In announcing charges filed against several contractors and project overseers for New York City’s troubled CityTime automated payroll and time keeping project, Manhattan U.S. Attorney Preet Bharara placed the blame for the mas- sive cost overruns squarely at the feet of corrupt project managers and their shockingly brazen money skimming practices.
In 1998, when former mayor Rudolph Giuliani announced the creation of the CityTime project for New York City’s employees, he was seeking to automate an outdated, paper-based time card and payroll system used by some 300,000 city employees. Over the years, this record-keeping system could not keep up with the large employee base, leading to allegations of waste and routinely falsified time sheets, all of which cost the city millions a year. CityTime was sup- posed to fix this problem by automating and updating the old paper-based methods with the latest electronic, inte- grated information system. When the city authorized the project, the winning bid was awarded to Science Applications International Corporation (SAIC) for $63 million over a five-year period. SAIC’s job as prime contractor was to oversee the development of the new computer-based system and support the migration of all record-keeping and payroll processes to the new system. By the time the dust settled, New York City had spent over $720 million on a system that took 10 years to install. Worse, much of the money appears to have been siphoned off by a string of “consultants” and subcontractors, who all used the project to get rich.
How did things get so bad? Federal prosecutors have said that nearly the entire sum the city spent on the project was stained by an epic fraud that involved hundreds of contractors, systemic overbilling, and an international money- laundering conspiracy.
Introduction 433
The project involved numerous stakeholders, all with differing motives and all convinced that others were using the project to push their own agendas. For example, as early as 2003, unions representing city employees were com- plaining about the new system and the inflated salaries of numerous consultants and officials involved in the project. Still, nothing happened. That was because CityTime had powerful supporters who included the new mayor, Michael Bloomberg; his budget chief Mark Page; and Joel Bondy, the director of the Office of Payroll Administration (OPA). These officials saw the project as a way to control both overtime and pension costs and regarded union complaints as the predictable anger of city employees being stripped of their ability to game the system.
Official oversight for this project rested with a three-person panel including Mark Page, a representative for Comptroller Bill Thompson, and Joel Bondy, who led the Office of Payroll Administration up until he was fired. Despite this oversight, Attorney Baharara says the private contractors and consultants were able to manipulate the terms of their contracts and inflate the costs eleven times the original estimate. Their biggest coup was getting the project terms changed from a fixed-price contract to a fixed-price level of effort contract. This meant that in future, the city would be held responsible for all cost overruns, which quickly became enormous.
Around this time, allegations of fraud and widespread theft were gaining ground. Mark Mazer, for example, was hired in 2004 to streamline and rescue the project, which had been falling behind its original schedule. He is accused of taking more than $25 million in kickbacks in addition to his $4.4 million salary from the CityTime project. His job? Ironically, Mazur was the outside contractor hired by the city to keep a close eye on the other outside contractors who were performing the work; a classic case of the fox being set to guard the chickens! Meanwhile, the prime CityTime contractor, Science Applications International Corp. (SAIC), received more than $600 million from the city. SAIC’s project chief, Gerard Denault, is accused of taking $9 million in kickbacks. SAIC’s systems engineer, Carl Bell, took more than $5 million and pleaded guilty to doing so.
Much of the bribe money flowed through Technodyne, a subcontractor hired by SAIC and headed by an Indian- American husband and wife team, Reddy and Padma Allen. SAIC paid $450 million to Technodyne, and the Allens responded with a series of illegal cash payments for Denault, Bell, and Mark Mazer, according to the government. In return, investigators say, these individuals worked together to pad the CityTime payroll and prolong the project. The Allens shipped at least $50 million to companies they controlled in India. Part of it was then wired back to the United States to shell companies controlled by Denault and Bell. Mazer was paid off through a larger web of shell companies. Mazer then funneled millions of dollars stolen from the city to bank accounts overseas. Investigators found hundreds of thousands of dollars stashed in safe-deposit boxes around the city that were part of the ill-gotten gains.
Things finally began to unravel in 2010 (over 10 years into the project) when an unhappy CityTime consultant who had been fired went to the city’s Department of Investigation and blew the whistle. The Department of Investigation began its own probe and then notified federal authorities who were brought into the case. Federal indictments were returned in 2010 and the cases were finally brought to trial in 2013.
Before he left office, Mayor Michael Bloomberg demanded that SAIC repay the city more than $600 million spent on the scandal-plagued CityTime payroll technology project. In 2012, SAIC came to an agreement with New York City to repay $500 million to avoid federal prosecution. As the U.S. Attorney noted in her indictment, “… the corruption on the CityTime project was epic in duration, magnitude, and scope. As alleged, CityTime served as a vehicle for an unprec- edented fraud, which appears to have metastasized over time.”
Ironically, a computer system that was developed to make sure that city employees did not cheat on their time card hours resulted in one of the biggest cases of graft, cheating, and outright theft that New York City has ever seen. Project controls and oversight for the project simply did not exist as city officials adopted an attitude that “outside contractors can do it better.” If by “doing it better,” officials meant “are more capable of theft,” then they may have been right. It seems that the echoes of the CityTime scandal are finally starting to fade. Of the 11 people arrested in connection with the fraud and corruption, by 2014, eight had been convicted, the Allens had fled back to India with at least $35 million, and one died prior to the start of his trial. Most recently, a federal judge in Manhattan sentenced three men, including Mark Mazur, to 20 years in prison for their roles in the scandal-ridden project, and he also sharply criticized New York City’s contracting procedures for what he called a lack of “adequate and effective oversight.”1
introduction
One of the most significant challenges with running a project has to do with maintaining an accu- rate monitoring and control system for its implementation. Because projects are often defined by their constraints (i.e., budget and schedule limitations), it is vital that we ensure they are controlled as carefully as possible. Project monitoring and control are the principal mechanisms that allow the project team to stay on top of a project’s evolving status as it moves through the various life cycle stages toward completion. Rather than adopting a “no news is good news” approach to monitoring and control of projects, we need to clearly understand the benefits that can be derived from careful and thorough status assessments as the project moves forward.
In order to best ensure that the project’s control will be as optimal as possible, we need to focus our attention on two important aspects of the monitoring process. First, we need to identify the
434 Chapter 13 • Project Evaluation and Control
appropriate cues that signal project status as well as understand the best times across the project’s life cycle to get accurate assessments of its performance. In other words, we need to be fully aware of the what and when questions: What information concerning the project should be measured, and when are the best times to measure it? Our goal is to have a sense of how to develop systematic proj- ect control that is comprehensive, accurate, and timely. Put another way, when we are responsible for a multimillion-dollar investment in our organization, we want to know the status of the project, we want that information as soon as we can get it, and we want it to be as up-to-date as possible.
13.1 control cycles—A generAl Model
A general model of organizational control includes four components that can operate in a continu- ous cycle and can be represented as a wheel. These elements are:
1. Setting a goal. Project goal setting goes beyond overall scope development to include setting the project baseline plan. The project baseline is predicated on an accurate Work Breakdown Structure (WBS) process. Remember that WBS establishes all the deliverables and work packages associated with the project, assigns the personnel responsible for them, and creates a visual chart of the project from the highest level down through the deliverable and task levels. The project baseline is created as each task is laid out on a network diagram and resources and time durations are assigned to it.
2. Measuring progress. Effective control systems require accurate project measurement mecha- nisms. Project managers must have a system in place that will allow them to measure the ongoing status of various project activities in real time. We need a measurement system that can provide information as quickly as possible. What to measure also needs to be clearly defined. Any number of devices will allow us to measure one aspect of the project or another; however, the larger ques- tion is whether or not we are getting the type of information we can really use.
3. Comparing actual with planned performance. When we have some sense of the original base- line (plan) and a method for accurately measuring progress, the next step is to compare the two pieces of information. A gap analysis can be used as a basis for testing the project’s status. Gap analysis refers to any measurement process that first determines the goals and then the degree to which the actual performance lives up to those goals. The smaller the gaps between planned and actual performance, the better the outcome. In cases where we see obvious differences between what was planned and what was realized, we have a clear-cut warning signal.
4. Taking action. Once we detect significant deviations from the project plan, it becomes nec- essary to engage in some form of corrective action to minimize or remove the deviation. The process of taking corrective action is generally straightforward. Corrective action can either be relatively minor or involve significant remedial steps. At its most extreme, correc- tive action may even involve scuttling a nonperforming project. After corrective action, the monitoring and control cycle begins again.
As Figure 13.2 demonstrates, the control cycle is continuous. As we create a plan, we begin measurement efforts to chart progress and compare stages against the baseline plan. Any indica- tions of significant deviations from the plan should immediately trigger an appropriate response,
1. Setting a goal
4. Taking action and recycling the process
2. Measuring progress
3. Comparing actual with planned
Figure 13.2 the Project Control Cycle
13.2 Monitoring Project Performance 435
leading to a reconfiguration of the plan, reassessment of progress, and so on. Project monitoring is a continuous, full-time cycle of target setting, measuring, correcting, improving, and remeasuring.
13.2 Monitoring Project PerForMAnce
As we discovered in the chapters on project budgeting and resource management, once we have established a project baseline budget, one of the most important methods for indicating the ongoing status of the project is to evaluate it against the original budget projections. For project monitoring and control, both individual task budgets and the cumulative project budget are relevant. The cumulative budget can be broken down by time over the project’s projected duration.
the Project s-curve: A Basic tool
As a basis for evaluating project control techniques, let us consider a simple example. Assume a project (Project Sierra) with four work packages (Design, Engineering, Installation, and Testing), a budget to completion of $80,000, and an anticipated duration of 45 weeks. Table 13.1 gives a breakdown of the project’s cumulative budget in terms of both work packages and time. As we discussed in Chapter 8, this type of budget is referred to as a time-phased budget.
To determine project performance and status, a straightforward time/cost analysis is often our first choice. Here the project’s status is evaluated as a function of the accumulated costs and labor hours or quantities plotted against time for both budgeted and actual amounts. We can see that time (shown on the x, or horizontal, axis) is compared with money expended (shown on the y, or vertical, axis). The classic project s-curve represents the typical form of such a relationship. Budget expenditures are initially low and ramp up rapidly during the major project execution stage, before starting to level off again as the project gets nearer to its completion (see Figure 13.3). Cumulative budget projections for Project Sierra shown in Table 13.1 have been plotted against the project’s schedule. The S-curve figure represents the project budget baseline against which actual budget expenditures are evaluated.
Monitoring the status of a project using S-curves becomes a simple tracking problem. At the conclusion of each given time period (week, month, or quarter), we simply total the cumulative project budget expenditures to date and compare them with the anticipated spending patterns. Any significant deviations between actual and planned budget spending reveal a potential problem area.
Simplicity is the key benefit of S-curve analysis. Because the projected project baseline is established in advance, the only additional data shown are the actual project budget expen- ditures. The S-curve also provides real-time tracking information in that budget expenditures can be constantly updated and the new values plotted on the graph. Project information can be visualized immediately and updated continuously, so S-curves offer an easy-to-read evaluation of the project’s status in a timely manner. (The information is not necessarily easily interpreted, however, as we shall see later.)
Our Project Sierra example (whose budget is shown in Table 13.1) can also be used to illus- trate how S-curve analysis is employed. Suppose that by week 21 in the project, the original budget projected expenditures of $50,000. However, our actual project expenditures totaled only $40,000.
tABle 13.1 Budgeted Costs for Project Sierra (in thousands $)
Duration (in weeks)
5 10 15 20 25 30 35 40 45 total
Design 6 2
Engineer 4 8 8 8
Install 4 20 6
Test 2 6 4 2
Total 6 6 8 12 28 8 6 4 2
Cumul. 6 12 20 32 60 68 74 78 80 80
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In effect, there is a $10,000 budget shortfall, or negative variance between the cumulative budgeted cost of the project and its cumulative actual cost. Figure 13.4 shows the tracking of budgeted expen- ditures with actual project costs, including identifying the negative variance shown at week 21. In this illustration, we see the value of S-curve analysis as a good visual method for linking project costs (both budgeted and actual) over the project’s schedule.
s-curve drawbacks
When project teams consider using S-curves, they need to take the curves’ significant drawbacks as well as their strengths into consideration. S-curves can identify positive or negative variance (budget expenditures above or below projections), but they do not allow us to make reasonable
C u
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$10,000 Negative Var.
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Elapsed Time (in weeks)
Cumulative Budgeted Cost
Cumulative Actual Cost
Figure 13.4 Project Sierra’s S-Curve Showing Negative Variance
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Figure 13.3 Project S-Curves
13.2 Monitoring Project Performance 437
interpretations as to the cause of variance. Consider the S-curve shown in Figure 13.4. The actual budget expenditures have been plotted to suggest that the project team has not spent the total planned budget money to date (there is negative variance). However, the question is how to interpret this finding. The link between accumulated project costs and time is not always easily resolved. Is the project team behind schedule (given that they have not spent sufficient budget to date) or might there be alternative reasons for the negative variance?
Assume that your organization tracks project costs employing an S-curve approach and uses that information to assess the status of an ongoing project. Also assume that the project is to be completed in 12 months and has a budget of $150,000. At the six-month checkup, you discover that the project S-curve shows significant shortfall; you have spent far less on the project to date than was originally budgeted. Is this good or bad news?
On the surface, we might suppose that this is a sign of poor performance; we are lagging far behind in bringing the project along and the smaller amount we have spent to date is evidence that our project is behind schedule. On the other hand, there are any number of reasons why this circumstance actually might be positive. For example, suppose that in running the project, you found a cost-effective method for doing some component of the work or came across a new tech- nology that significantly cut down on expenses. In that case, the time/cost metric may not only be misused, but might lead to dramatically inaccurate conclusions. Likewise, positive variance is not always a sign of project progress. In fact, a team may have a serious problem with overexpendi- tures that could be interpreted as strong progress on the project when in reality it signals nothing more than their inefficient use of project capital resources. The bottom line is this: Simply evaluat- ing a project’s status according to its performance on time versus budget expenditures may easily lead us into making inaccurate assumptions about project performance.
Another drawback with using S-curves to update a project’s progress is that they are provid- ing “reactive” data; that is, we plot the results of expenditures after the money has already been spent. S-curves are a tracking tool that are visually appealing but do not allow the project team to anticipate or take proactive actions because the information only arrives after the fact. Likewise, S-curves do not allow the team to forecast project expenditures or other performance metrics to completion. We know how much we have spent to date, but we only have the initial budget to suggest how much we should have spent and how much we are likely to spend in the future. Once significant variances start appearing in the budget, the question of what our final, likely project costs will be is extremely difficult to determine.
Milestone Analysis
Another method for monitoring project progress is milestone analysis. A milestone is an event or stage of the project that represents a significant accomplishment on the road to the project’s com- pletion. Completion of a deliverable (a combination of multiple project tasks), an important activ- ity on the project’s critical path, or even a calendar date can all be milestones. In effect, milestones are road markers that we observe on our travels along the project’s life cycle. There are several benefits to using milestones as a form of project control.
1. Milestones signal the completion of important project steps. A project’s milestones are an important indicator of the current status of the project under development. They give the project team a common language to use in discussing the ongoing status of the project.
2. Milestones can motivate the project team. In large projects lasting several years, motiva- tion can flag as team members begin to have difficulty seeing how the project is proceeding overall, what their specific contribution has been and continues to be, and how much longer the project is likely to take. Focusing attention on milestones helps team members become more aware of the project’s successes as well as its status, and they can begin to develop greater task identity regarding their work on the project.
3. Milestones offer points at which to reevaluate client needs and any potential change requests. A common problem with many types of projects is the nature of repetitive and con- stant change requests from clients. Using project review milestones as formal “stop points,” both the project team and the clients are clear on when they will take midcourse reviews of the project and how change requests will be handled. When clients are aware of these formal project review points, they are better able to present reasonable and well-considered feed- back (and specification change requests) to the team.
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4. Milestones help coordinate schedules with vendors and suppliers. Creating delivery dates that do not delay project activities is a common challenge in scheduling delivery of key project components. From a resource perspective, the project team needs to receive supplies before they are needed but not so far in advance that space limitations, holding and inventory costs, and in some cases spoilage are problems. Hence, to balance delays of late shipments against the costs associated with holding early deliveries, a well-considered system of milestones creates a scheduling and coordinating mechanism that identifies the key dates when supplies will be needed.
5. Milestones identify key project review gates. For many complex projects, a series of mid- term project reviews are mandatory. For example, many projects that are developed for the U.S. government require periodic evaluation as a precondition to the project firm receiving some percentage of the contract award. Milestones allow for appropriate points for these reviews. Sometimes the logic behind when to hold such reviews is based on nothing more than the passage of time (“It is time for the July 1 review”). For other projects, the review gates are determined based on completion of a series of key project steps (such as the evaluation of software results from the beta sites).
6. Milestones signal other team members when their participation is expected to begin. Many times projects require contributions from personnel who are not part of the project team. For example, a quality assurance individual may be needed to conduct systems tests or quality inspection and evaluations of work done to date. If the quality supervisor does not know when to assign a person to our project, we may find when we reach that milestone that no one is available to help us. Because the quality assurance person is not part of the project team, we need to coordinate her involvement in order to minimize disruption to the project schedule.
7. Milestones can delineate the various deliverables developed in the Work Breakdown Structure and thereby enable the project team to develop a better overall view of the project. We then are able to refocus efforts and function-specific resources toward the deliverables that show signs of trouble, rather than simply allocating resources in a general manner. For example, indications that the initial project software programming milestone has been missed allow the project manager to specifically request additional programmers downstream, in order to make up time later in the project’s development.
Figure 13.5 gives an example of a simple Gantt chart with milestones included. The mile- stones in this case are simply arbitrary points established on the chart; we could just as easily have placed them after completed work packages or by using some other criteria.
Problems with Milestones
Milestones, in one form or another, are probably the simplest and most widely used of all project control devices. Their benefits lie in their clarity; it is usually easy for all project team members to relate to the idea of milestones as a project performance metric. The problem with them is that, like
Figure 13.5 Gantt Chart with Milestones
Source: MS Project 2013, Microsoft Corporation
13.2 Monitoring Project Performance 439
S-curves, they are a reactive control system. You must first engage in project activities and then evaluate them relative to your goal. If you significantly underperform your work to that point, you are faced with having to correct what has already transpired. Imagine, for example, that a project team misses a milestone by a large margin. Not having received any progress reports until the point that the bad news becomes public, the project manager is probably not in a position to craft an immediate remedy for the shortfall. At this point, the problems are compounded. Due to the delay in receiving the bad news, remedial steps are themselves delayed, pushing the project even farther behind.
the tracking gantt chart
One form of the Gantt chart, referred to as a tracking Gantt chart, is useful for evaluating project performance at specific points in time. The tracking gantt chart allows the project team to con- stantly update the project’s status by linking task completion to the schedule baseline. Rather than monitor costs and budget expenditures, a tracking Gantt chart identifies the stage of completion each task has attained by a specific date within the project. For example, Figure 13.6 represents Project Blue, involving five activities. As the project progresses, its current status is indicated by the vertical status bar shown for Thursday, July 24. To date, activity A (Licensing Agreement) has been 100% completed, while its two subsequent tasks, Specification Design and Site Certification, are shown as having progressed proportionally by the identified tracking date. That is, activity B (Specification Design) is rated as 57% completed, and activity C (Site Certification) as 80% com- pleted. Activities D and E have not yet begun in this example.
It is also possible to measure both positive and negative deviations from the schedule base- line with the tracking Gantt chart. Let us suppose, using our Project Blue example, that activity B remains approximately 57% completed as of the baseline date indicated. On the other hand, activ- ity C has not progressed as rapidly and is only 20% completed as of the July 24 date. The chart can be configured to identify the variations, either positive or negative, in activity completion against the project baseline. These features are demonstrated in Figure 13.7, showing the current date for the project and the delay in progress on activity C.
Figure 13.6 Assessing Project Blue’s Status Using tracking Gantt Chart
Source: MS Project 2013, Microsoft Corporation
Figure 13.7 tracking Gantt with Project Activity Deviation
Source: MS Project 2013, Microsoft Corporation
440 Chapter 13 • Project Evaluation and Control
Benefits and drawbacks of tracking gantt charts
A key benefit of tracking Gantt charts is that they are quite easy to understand. The visual nature of the feedback report is easy to assimilate and interpret. This type of control chart can be updated very quickly, providing a sense of real-time project control. On the other hand, track- ing Gantt charts have some inherent drawbacks that limit their overall utility. First, although they may show which tasks are ahead of schedule, on schedule, and behind schedule, these charts do not identify the underlying source of problems in the cases of task slippage. Reasons for schedule slippage cannot be inferred from the data presented. Second, tracking control charts do not allow for future projections of the project’s status. It is difficult to accurately estimate the time to completion for a project, particularly in the case of significant positive or negative variation from the baseline schedule. Is a series of early finishes for some activities good news? Does that signal that the project is likely to finish earlier than estimated? Because of these drawbacks, tracking charts should be used along with other techniques that offer more prescriptive power.
13.3 eArned VAlue MAnAgeMent
An increasingly popular method used in project monitoring and control consists of a mechanism that has become known as earned value Management (evM).* The origins of EVM date to the 1960s when U.S. government contracting agencies began to question the ability of contrac- tors to accurately track their costs across the life of various projects. As a result, after 1967, the Department of Defense imposed 35 Cost/Schedule Control Systems Criteria that suggested, in effect, that any future projects procured by the U.S. government in which the risk of cost growth was to be retained by the government must satisfy these 35 criteria.2 In the more than four years since its origin, EVM has been practiced in multiple settings, by agencies from governments as diverse as Australia, Canada, and Sweden, as well as by a host of project-based firms in numer- ous industries.
Unlike previous project tracking approaches, EVM recognizes that it is necessary to jointly consider the impact of time, cost, and project performance on any analysis of current project status. Put another way: Any monitoring system that only compares actual against budgeted cost numbers ignores the fact that the client is spending that money to accomplish something—to create a project. Therefore, EVM reintroduces and stresses the importance of analyzing the time element in project status updates. Time is important because it becomes the basis for determining how much work should be accomplished at certain milestone points. EVM also allows the project team to make future projections of project status based on its current state. At any point in the project’s development, we are able to calculate both schedule and budget efficiency factors (the efficiency with which budget is being used relative to the value that is being created) and use those values to make future projections about the estimated cost and schedule to project completion.
We can illustrate the advance in the project control process that Earned Value Management represents by comparing it to the other project tracking mechanisms. If we consider the key metrics of project performance as those success criteria discussed in Chapter 1 (schedule, budget, and per- formance), most project evaluation approaches tend to isolate some subset of the overall success measure. For example, project S-curve analysis directly links budget expenditures with the project schedule (see Figure 13.8). Again, the obvious disadvantage to this approach is that it ignores the project performance linkage.
Project control charts such as tracking Gantt charts link project performance with sched- ule but may give budget expenditures short shrift (see Figure 13.9). The essence of a tracking approach to project status is to emphasize project performance over time. Although the argument
* Note that Earned Value Management (EVM) is used interchangeably with Earned Value Analysis (EVA). EVA is an older term, though still widely in use. EVM has become increasingly common and is used within many project firms.
13.3 Earned Value Management 441
could be made that budget is implicitly assumed to be spent in some preconceived fashion, this metric does not directly apply a link between the use of time and performance factors with project cost.
earned value (ev), on the other hand, directly links all three primary project success metrics (cost, schedule, and performance). This methodology is extremely valuable because it allows for regular updating of a time-phased budget to determine schedule and cost variances, as identified by the regular measurement of project performance (see Figure 13.10).
terminology for earned Value
Following are some of the key concepts that allow us to calculate earned value and use its figures to make future project performance projections. Many of these definitions are taken from the Project Management Institute’s Project Management Body of Knowledge (PMBoK), 5th Edition.
PV Planned value. The authorized budget assigned to scheduled work. At any given moment, planned value defines the physical work that should have been accomplished to that point in time. It can also be thought of as a cost estimate of the budgeted resources scheduled across the project’s life cycle (cumulative baseline). In older terminology, PV used to be referred to as BCWS (Budgeted Cost of Work Scheduled).
eV earned value. This is a measure of the work performed expressed in terms of the budget authorized for that work. This is the real budgeted cost, or “value,” of the work that has actually been performed to date. In older terminology, EV used to be referred to as Budgeted Cost of Work Performed (BCWP).
Cost
Project S-Curves
Performance Schedule Figure 13.8 Monitoring Project Performance
(S-Curve Analysis)
Cost
Tracking Control Charts (e.g., Gantt Charts)
Performance Schedule
Figure 13.9 Monitoring Project Performance (Control Charting)
Cost
Earned Value
Performance Schedule Figure 13.10 Monitoring Project
Performance (earned Value)
442 Chapter 13 • Project Evaluation and Control
AC Actual cost of work performed. This is the realized cost for the work performed on an activity dur- ing a specific time period. It is the cumulative total costs incurred in accomplishing the various project work packages that EV measured. In older terminology, AC used to be referred to as Actual Cost of Work Performed (ACWP).
SV Schedule variance. This is a measure of schedule performance expressed as the difference between the earned value and the planned value, or EV – PV. It is the amount by which the project is ahead or behind the delivery date at a given point in time.
CV Cost variance. This is a measure of cost performance expressed as the difference between the earned value and the actual cost of work performed, or EV – AC. It is the amount of budget deficit or surplus at a given point in time.
SPi Schedule Performance index. The rate at which project performance is meeting schedule expectations up to a point in time. SPI is expressed as the earned value to date divided by the planned value of work scheduled to be performed (EV/PV). This value allows us to calculate the projected schedule of the project to completion.
CPi Cost Performance index. The rate at which project performance is meeting cost expectations during a given period of time. CPI is expressed as the earned value divided by the actual, cumulative cost of the work performed to date (EV/AC). This value allows us to calculate the projected budget to completion.
BAC Budgeted cost at completion. This value represents the total budget for a project. eAC estimate at completion. The expected total cost of completing all work on the project. This is the
projected (forecasted) total cost based on project performance to that point in time. It is represented as the sum of actual costs (AC) plus an estimate to complete all remaining work.
creating Project Baselines
The first step in developing an accurate control process is to create the project baselines against which progress can be measured. Baseline information is critical regardless of the control process we employ, but baselines are elemental when performing EVM. The first piece of information necessary for performing earned value is the planned value, that is, the project baseline. The PV should comprise all relevant project costs, the most important of which are personnel costs, equipment and materials, and project overhead, sometimes referred to as level of effort. Overhead costs (level of effort) can include a variety of fixed costs that must be included in the project budget, including administrative or technical support, computer work, and other staff expertise (such as legal advice or marketing). The actual steps in establishing the project baseline are fairly straightforward and require two pieces of data: the Work Breakdown Structure and a time-phased project budget.
1. The Work Breakdown Structure identified the individual work packages and tasks necessary to accomplish the project. As such, the WBS allowed us to first identify the indi- vidual tasks that would need to be performed. It also gave us some understanding of the hierarchy of tasks needed to set up work packages and identify personnel needs (human resources) in order to match the task requirements to the correct individuals capable of performing them.
2. The time-phased budget takes the WBS one step further: It allows us to identify the correct sequencing of tasks, but more importantly, it enables the project team to determine the points in the project when budget money is likely to be spent in pursuit of those tasks. Say, for example, that our project team determines that one project activity, Data Entry, will require a budget of $20,000 to be completed, and further, that the task is estimated to require two months to com- pletion, with the majority of the work being done in the first month. A time-phased budget for this activity might resemble the following:
Activity jan feb . . . Dec total
Data Entry $14,000 $6,000 -0- $20,000
Once we have collected the WBS and applied a time-phased budget breakdown, we can create the project baseline. The result is an important component of earned value because it represents the standard against which we are going to compare all project performance, cost, and schedule
13.3 Earned Value Management 443
data as we attempt to assess the viability of an ongoing project. This baseline, then, represents our best understanding of how the project should progress. How the project is actually doing, is another matter.
Why use earned Value?
Let us illustrate the relevancy of EVM using our Project Sierra example. Return to the information presented in Table 13.1, as graphically represented on the project S-curve in Figure 13.3. Assume that it is now week 30 of the project and we are attempting to assess the project’s status. Also assume that there is no difference between the projected project costs and actual expenditures; that is, the project budget is being spent within the correct time frame. However, upon examination, suppose we were to discover that Installation was only half completed and Project Testing had not yet begun. This example illustrates both a problem with S-curve analysis and the strength of EVM. Project status assessment is relevant only when some measure of performance is considered in addition to budget and elapsed schedule.
Consider the revised data for Project Sierra shown in Table 13.2. Note that as of week 30, work packages related to Design and Engineering have been totally completed, whereas the Installation is only 50% done, and Testing has not yet begun. These percentage values are given based on the project team or key individual’s assessment of the current status of work package completion. The question now is: What is the earned value of the project work done to date? As of week 30, what is the status of this project in terms of budget, schedule, and performance?
Calculating the earned value for these work packages is a relatively straightforward pro- cess. As Table 13.3 shows, we can modify the previous table to focus exclusively on the relevant information for determining earned value as of week 30. The planned budget for each work package is multiplied by the percentage completed in order to determine the earned value to date for the work packages, as well as for the overall project. In this case, the earned value at the 30-week point is $51,000.
Now we can compare the planned budget against the actual earned value using the original project budget baseline, shown in Figure 13.11. This process allows us to assess a more realistic determination of the status of the project when the earned value is plotted against the budget baseline. Compare this figure with the alternative method from Figure 13.4, in which a negative
tABle 13.2 Percentage of tasks Completed for Project Sierra (in thousands $)
Duration (in weeks)
5 10 15 20 25 30 35 40 45 % Comp.
Design 6 2 100
Engineer 4 8 8 8 100
Install 4 20 6 50
Test 2 6 4 2 0
Total 6 6 8 12 28 8 6 4 2
Cumul. 6 12 20 32 60 68 74 78 80
tABle 13.3 Calculating earned Value (in thousands $)
Planned % Comp. earned Value
Design 8 100 8
Engineer 28 100 28
Install 30 50 15
Test 14 0 0
Cumul. Earned Value 51
444 Chapter 13 • Project Evaluation and Control
variance is calculated, with no supporting explanation as to the cause or any indication about whether this figure is meaningful or not. Recall that by the end of week 30, our original budget projections suggested that $68,000 should have been spent. Instead, we are projecting a shortfall of $17,000. In other words, we are showing a negative variance not only in terms of money spent on the project, but also in terms of value created (performance) of the project to date. Unlike the standard S-curve evaluation, EVM variance is meaningful because it is based not simply on bud- get spent, but value earned. A negative variance of $10,000 in budget expenditures may or may not signal cause for concern; however, a $17,000 shortfall in value earned on the project to date represents a variance of serious consequences.
steps in earned Value Management
There are five steps in Earned Value Management (EVM):
1. Clearly define each activity or task that will be performed on the project, including its resource needs as well as a detailed budget. As we demonstrated earlier, the Work Breakdown Structure allows project teams to identify all necessary project tasks. It further allows for each task to be assigned its own project resources, including equipment and materials costs, as well as personnel assignments. Finally, coupled with the task break- downs and resource assignments, it is possible to create the budget figure or cost estimate for each project task.
2. Create the activity and resource usage schedules. These will identify the proportion of the total budget allocated to each task across a project calendar. Determine how much of an activity’s budget is to be spent each month (or other appropriate time period) across the project’s projected development cycle. Coupled with the development of a project budget should be its direct linkage to the project schedule. The determination of how much budget money is to be allocated to project tasks is important. Equally impor- tant is the understanding of when the resources are to be employed across the project’s development cycle.
3. Develop a “time-phased” budget that shows expenditures across the project’s life. The total (cumulative) amount of the budget becomes the project baseline and is referred to as the planned value (Pv). In real terms, PV just means that we can identify the cumulative budget expenditures planned at any stage in the project’s life. The PV, as a cumula- tive value, is derived from adding the planned budget expenditures for each preceding time period.
C u
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Project Baseline
60
Earned Value
40
20
0 5 10 15 20 25 30 35 40 45 Elapsed Time (in weeks)
Figure 13.11 Project Baseline, Using earned Value
13.3 Earned Value Management 445
4. Total the actual costs of doing each task to arrive at the actual cost of work performed (AC). We can also compute the budgeted values for the tasks on which work is being performed. This is referred to as the earned value (EV) and is the origin of the term for this control process.
5. Calculate both a project’s budget variance and schedule variance while it is still in process. Once we have collected the three key pieces of data (PV, EV, and AC), it is possible to make these calculations. Remember from earlier in the chapter that the schedule variance is calculated by the simple equation SV = EV - PV, or the difference between the earned value to date minus the planned value of the work scheduled to be performed to date. The budget, or cost, variance is calculated as CV = EV - AC, or the earned value minus the actual cost of work performed.
A simplified model that fits the principal elements of earned value together (PV, EV, AC, BAC, and EAC) is shown in Figure 13.12. The original baseline data, comprising both schedule and budget for all project tasks, is indicated by the planned value (PV) line and budget at comple- tion (BAC) estimate for the project. Notice that PV follows a standard S-curve outline. Actual costs at the time of this assessment (when the calculations are being made) are shown on the AC line, which has been steadily tracking above the planned value to date. Earned value is illustrated as a line below the PV baseline, suggesting that the project’s current earned value is below expecta- tions. The dotted line represents the forecast for project performance to completion (EAC). Note that the line is tracking well above the project’s planned value, suggesting that based on current performance, which drives projections to completion, the project is likely to finish over budget and past the scheduled completion date. We will see how these EVM calculations and forecasted projections to completion are actually calculated in the next section.
Assessing a Project’s earned Value
Table 13.4 presents the first components of a calculated earned value analysis on Project Mercury.3 This project has a planned seven-month duration and a $118,000 budget. The project began in January and we are interested in calculating its earned value as of the end of June. For simplicity’s sake, the total work packages for this project are only seven in number. If we know the amount budgeted for each work package and when that work is slated to be done, we can construct a budget table similar to that shown in Table 13.4. Notice that each work package has a fixed budget across a number of time periods (e.g., Staffing is budgeted to cost $15,000 and is to be performed almost equally across the months of January and February, while Blueprinting begins in March, with $4,000 budgeted to be spent, and concludes in April with $6,000).
Management Reserve
Project Budget
Estimate at Completion (EAC)
Budget at Completion (BAC)
Planned Value (PV)
Earned Value (EV)
Actual Cost (AC)
Assessment Date Scheduled Completion Date
C u
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Time
Figure 13.12 earned Value Milestones
446 Chapter 13 • Project Evaluation and Control
If we plot the expenses across each month of the project completed to date (January through June), we find that we can determine the amount budgeted and, through gathering some informa- tion from the project team and the accountant, the actual amount spent each month. These sets of figures are added to the bottom four rows of the table. For example, note that by March, we had planned to spend $21,000 in project budget on activities to date. Our actual cumulative costs were $27,000. The obvious question is: Is this good news or bad news? On the surface, we might conclude that it is bad news because we have overspent our budget. However, recall that the chief problem with S-curve methodology is that it only considers actual costs versus planned costs. This simply is not sufficient information for us to make any real determination of the status of the project.
The key pieces of information that allow us to identify earned value are included in the right- hand columns. We are very interested in determining the current status of the project based on the number of tasks completed over the time budgeted to them. Therefore, the last columns show the planned expenditures for each task, the percentage of the tasks completed, and the calculated value. Value in this sense is simply the product of the planned expenditures and the percentage of these tasks completed. For example, under the work package Blueprinting, we see that this activity was given a planned budget of $10,000 across two months total. To date, 80% of that activity has been completed, resulting in $8,000 in value. If we total the columns for planned expenditures and actual value (EV), we come up with our project’s planned budget ($118,000) and the value realized at the end of June ($44,000).
We now have enough information to make a reasonable determination of the project’s status using Earned Value Management. The first number we require is the planned value (PV). This value can be found as the cumulative planned costs at the end of the month of June ($103,000). We also have calculated that the earned value for the project to date (EV) totals $44,000. The schedule variances that are of interest to us are the schedule Performance index (sPi) and the estimated time to completion. The SPI is determined by dividing the EV by the PV. Table 13.5 shows this calculation ($44,000/103,000 = .43). With the SPI, we can now project the length of time it should take to complete the project. Because the SPI is telling us that we are operating at only 43% efficiency in implementing the project, we take the reciprocal of the SPI multiplied by the original project schedule to determine the projected actual time frame to completion for the project (1/.43 * 7 = 16.3 months). The bad news is: It appears that as of June, we cannot expect to complete this project for an additional 10 months; we are running more than nine months behind schedule.
How about costs? Although we are running more than nine months late, can we make simi- lar projections about the project in terms of how much it is projected to finally cost? The answer, according to EVM, is yes. Just as we can determine schedule variances, we can also compute cost
tABle 13.4 earned Value table (end of june) with $6,000 for Project Mercury (in thousands $)
Activity jan feb Mar Apr May june july Plan % Comp. Value
Staffing 8 7 15 100 15
Blueprinting 4 6 10 80 8
Prototype Development
2 8 10 60 6
Full Design 3 8 10 21 33 7
Construction 2 30 32 25 8
Transfer 10 10 0 0
Punch List 15 5 20 0 0
© = 118 44 Monthly Plan 8 7 6 17 10 55 15
Cumulative 8 15 21 38 48 103 118
Monthly Actual
8 11 8 11 10 30 0
Cumulative Actual
8 19 27 38 48 78
13.3 Earned Value Management 447
variances, as long as we have two very important pieces of data—the cumulative actual cost of work performed (Ac) and the earned value (EV). The earned value figure has already been calcu- lated ($44,000), and now we turn back to Table 13.4 to locate the AC. The cumulative actual cost at the end of June is $78,000. This figure is our AC and is entered into Table 13.6.
As we did in calculating schedule variance, we calculate cost variance by dividing the EV by AC, or $44,000/78,000 = .56. That is the Cost Performance Index (CPI) for this project. Determining the projected cost of the project involves taking the reciprocal of the CPI multiplied by the original project budget ($118,000). The bad news is: Not only is this project well behind schedule, but it also is projected to end up costing more than $210,000, a significant cost overrun.
Finally, we can plot these variance values graphically, showing the difference between EV (earned value) and PV and AC (see Figure 13.13). The intriguing result of this example suggests how misleading simple S-curves can sometimes be. For example, in this case, we have discovered a difference at the end of June of $25,000 between the AC ($78,000) and PV ($103,000). Although the analysis at that point showed that we had underspent our budget slightly, the results were actually more serious when viewed from the perspective of earned value by the end of June ($44,000). In reality, the schedule and cost variances were much more severe due to the lag in earned value on
tABle 13.5 Schedule Variances for Project Mercury eVM
Schedule Variances
Planned Value (PV) 103
Earned Value (EV) 44
Schedule Performance Index EV/PV = 44/103 = .43
Estimated Time to Completion (1/.43 * 7) = 16.3 months
tABle 13.6 Cost Variances for Project Mercury eVM
Cost Variances
Cumulative Actual Cost of Work Performed (AC) 78
Earned Value (EV) 44
Cost Performance Index EV/AC = 44/78 = .56
Estimated Cumulative Cost to Completion (1/.56 * $118,000) = $210,714
B u d
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)
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AC
EV
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Figure 13.13 earned Value Variances for Project Mercury
448 Chapter 13 • Project Evaluation and Control
the project, as calculated by the percentage completion of all scheduled tasks. This example clearly shows the advantages of earned value for more accurately determining actual project status as a function of its three component pieces: time, budget, and completion.
Earned value can be employed to measure trends in project performance. Trends are impor- tant because we want more than simple, one-time assessments of our project’s status; we want to be able to determine whether CPI and SPI are trending up, down, or remaining stationary. So, for example, it is possible to develop cumulative values for CPI and SPI as follows:
Cumulative CPI = Cumulative EV/Cumulative AC, or: CPIC = EVC/ACC
Likewise, Cumulative SPI = Cumulative EV/Cumulative PV, or: SPIC = EVC/PVC
Let us see how these values can be derived in an actual example. Suppose we collected cost data for our project over four months as shown in Table 13.7.
Our results suggest that after July, CPI dropped significantly for the month of August, before trending upwards in each of the final two months. Further, cumulative CPI (CPIC) continued to track above the threshold 1.0 level and in recent months has shown a steady positive trend.
Now, using the same data, let’s develop the cumulative SPI (SPIC) table for this example. Suppose that our data is as shown in Table 13.8. We can see from the calculation of SPIC that the project’s schedule performance has been steadily improving and by the end of this four-month segment, has improved from 0.92 to nearly 1.0. Cumulative SPI and CPI values are important for updating overall project performance to a master EVM report, rather than relying on a series of discrete “snapshots” of the project at different points in time.
We can also perform Earned Value Management using MS Project 2013. Suppose that we wished to track Project Atlas, shown in Figure 13.14. Notice that as of August 14, the project is beginning to show some signs of delay. By this point, we should have completed four of the six work packages, and yet Testing, for which Stewart is responsible, is only now getting under way. From a monitoring and control perspective, the question we want to answer is: How does EVM indicate the potential delays in our project?
Suppose that, in addition to regularly updating the baseline schedule, we have been track- ing the costs associated with each of the work packages and have found, as Figure 13.15 shows, that we have spent all budgeted money allotted to the work packages of Design, Engineering, and
tABle 13.7 Calculating Cumulative CPi for trend Analysis
eV eVC AC ACC CPi CPiC
July $27,500 $ 27,500 $20,000 $ 20,000 1.38 1.38
August $58,000 $ 85,500 $62,000 $ 82,000 0.94 1.04
September $74,500 $160,000 $69,000 $151,000 1.08 1.06
October $40,000 $200,000 $35,500 $186,500 1.13 1.07
tABle 13.8 Calculating Cumulative SPi for trend Analysis
eV eVC PV PVC SPi SPiC
July $27,500 $ 27,500 $30,000 $ 30,000 0.92 0.92
August $58,000 $ 85,500 $60,500 $ 90,500 0.96 0.94
September $74,500 $160,000 $75,000 $165,500 0.99 0.97
October $40,000 $200,000 $37,500 $203,000 1.07 0.99
13.3 Earned Value Management 449
Figure 13.15 Sample Cost report for Project Atlas on August 14
Source: MS Project 2013, Microsoft Corporation
Figure 13.14 Sample Gantt Chart for Project Atlas Showing Status on August 14
Source: MS Project 2013, Microsoft Corporation
Supplier Qualification. We have only spent $288 of our Testing budget. These are the actual cost values (AC) for these activities. We now have sufficient updated information to determine the earned value for Project Atlas as of August 14.
Figure 13.16 shows an example of an earned value report generated by MS Project 2013 for our Project Atlas.* In addition to providing the key metrics of PV, EV, and AC (see footnote), the report generates both schedule and cost variances. Schedule variance (SV) is simply the difference between earned value and planned value, while cost variance (CV) is the difference between earned value and actual cost. The estimate at completion (eAc) column shows the expected total cost of the project to completion based on performance across the various tasks up to the status date. Note that for Project Atlas, we are currently projecting schedule and cost variances, suggesting that our project is over budget and behind schedule. In fact, the EAC dem- onstrates that based on the progress made by August 14, this project is expected to cost $7,180 to completion.
* MS Project 2013 uses the term BCWS (Budgeted Cost of Work Scheduled) for planned value (PV), BCWP (Budgeted Cost of Work Performed) for earned value (EV), and ACWP (Actual Cost of Work Performed) for actual cost (AC). As Figure 13.16 demonstrates, MS Project 2013 employs older terms in conjunction with the newer terminology that has been updated by the Project Management Institute’s PMBoK.
450 Chapter 13 • Project Evaluation and Control
13.4 using eArned VAlue to MAnAge A PortFolio oF Projects
Earned Value Management can work at the portfolio level as well as with individual projects. The process simply involves the aggregation of all earned value measures across the firm’s entire proj- ect portfolio in order to give an indication as to the efficiency with which a company is managing its projects. Table 13.9 gives an example of a portfolio-level Earned Value Management control table that identifies both positive and negative cost and schedule variances and, based on these evaluations, projects the cost to completion of each current project.4
Other useful information contained in the Portfolio Earned Value Management table includes the total positive variances for both budget and schedule, as well as a determination of the relative schedule and cost variances as a percentage of the total project portfolio. In the example shown in Table 13.7, the company is running average cost and schedule variances on its projects of 7.34% and 6.84%, respectively. The use of Earned Value Management for portfolio tracking and control offers top management an excellent window into the firm’s ability to efficiently run projects, allows for comparisons across all projects currently in development, and isolates both the positive and negative variances as they occur. All of this is useful information for top-level management of multiple projects.
Figure 13.16 earned Value report for Project Atlas on August 14
Source: MS Project 2013, Microsoft Corporation
tABle 13.9 Project Portfolio earned Value (in thousands $)
Project PV eV time Var ($) Var AC Cost Var ($) Var + Plan est. at
Completion
Alpha 91 73 -18 18 83 -10 10 254 289 Beta 130 135 5 0 125 10 0 302 280
Gamma 65 60 -5 5 75 -15 15 127 159 Delta 25 23 -2 2 27 -4 4 48 56 Epsilon 84 82 -2 2 81 1 0 180 178
395 373 391 962
Total Schedule Variance 27 Total Cost Variance 29
Relative Schedule Variance 27/395 = 6.84% Relative Cost Variance 29/395 = 7.34%
13.4 Using Earned Value to Manage a Portfolio of Projects 451
ProjeCt Profile
earned Value at Northrop Grumman
“There comes a time to shoot the engineers and get on with production.” This statement, commonly voiced in defense industry companies, refers to the engineers’ tendency to continually improve but never complete a project. The pen- chant for continual “tinkering” has enormous implications for companies that live or die by their ability to effectively and efficiently implement their projects. The type of work defense contractors perform further complicates the prob- lem. There is a standing requirement that a company must meet the government’s stringent cost and quality control tests as it brings projects through the development cycle. In an effort to regain control of the project development process, defense contractor Northrop Grumman has been committed to the use of Earned Value Management for a number of years.
Northrop Grumman, one of the world’s leading defense contractors (see Figure 13.17), has been using Earned Value Management as a key component of its approach to better project tracking and control. Because of the numer- ous projects the company routinely undertakes, its annual operating budget for projects runs into the billions of dollars. With dozens of projects under way at any time and enormous capital commitments supporting these ventures, it is imperative that the corporation develop and maintain the most sophisticated project control system possible.
Northrop Grumman has selected Earned Value Management as its primary project control device for the following reasons:
1. EVM develops a comprehensive baseline plan for the scope of the program’s work over its entire duration. 2. The system incorporates tools to measure work performance and accomplishments based on objective criteria. 3. EVM analyzes and forecasts the impact of significant variances from the plan. 4. It produces managerial decision-making information in ascending levels of management. 5. EVM provides action plans for corrective actions when something digresses from the baseline plan. 6. All parties involved in the plan agree to and document all changes.
The company has developed a four-tier approach for project control using EVM. All projects are classified into one of the following categories, requiring an individualized approach to EVM creation:
Tier One is the most stringent because it requires most of the system’s features to be identified. This approach is employed when a contract requires that a large amount of detailed information be produced and reported. Tier Two is similar to Tier One except that the contract requires close management oversight because the project is risky, and there is a heavier burden to meet profit margin goals. Tier Three applies to programs of significant size that are mature and running smoothly. Tier Four applies the benefits of earned value to projects with low administrative costs.
Figure 13.17 Northrop Grumman’s B-2 Bomber
Source: Mark Meyer/The Life Images Collection/Getty Images (continued)
452 Chapter 13 • Project Evaluation and Control
13.5 issues in the eFFectiVe use oF eArned VAlue MAnAgeMent
As with any other metric that helps us understand the “true” status of an ongoing project, the key to effective use of EVM lies in providing accurate and up-to-date information on the project, particularly in terms of the percentage of work packages completed. Because this information is key to determining the earned value at any point in time, the calculated EV is only as accurate as project team members and managers allow it to be through developing and enforcing an honest reporting system.
In our Project Mercury example shown earlier (Table 13.4), the percentage completion col- umn included values ranging from 100, 80, 60, 33, 25, to zero. In reality, organizations often adopt a simpler decision rule for assigning completion percentages. Among the more common methods for assigning completion values are the following:
1. 0/100 rule—The simplest and perhaps least effective method requires that a project activity be assigned a value of zero (0) until the point the activity is finished, at which time the value switches to 100%. This rule works best for work packages with very short durations, such as a day or two, but it is not useful for longer work packages because it provides little real-time information on an ongoing basis. It also makes sense for work packages that require vendor deliveries or that depend upon external stakeholders performing required steps. For exam- ple, we count a work package as “complete” when the vendor delivers a needed component.
2. 50/50 rule—Under this decision rule, an activity that has been started automatically receives a valuation of 50% completed. That value remains attached to the work package until the
Northrop Grumman uses EVM at every stage of a project, from developing the original metrics at the contract proposal stage, to updating them in the form of a full-blown work breakdown structure (WBS) once a project has been won and is under development, to routinely updating the status of project activities on a weekly basis. Over time, the company discovered that monthly reviews were simply too far apart and did not allow for real-time corrective action when it was necessary.
flow of earned Value System
Earned value begins early at Northrop Grumman projects. In fact, there is a “flow” to the EVM system, beginning at the proposal stage, moving into a baseline development phase when a contract has been awarded, and then becoming part of a routine maintenance and data generation phase as the project is in development and moving toward successful completion.
Proposal stage. The specifics of the program are determined at this stage. Among the key considerations to be determined is the form of EVM to be applied to the program if the proposal is successful and the contract awarded. Different clients may require different earned value metrics or evaluation windows that have to become part of the proposal. Contract award. When Northrop Grumman is selected as the successful contractor, all critical elements and require- ments of the project are defined, including WBS, scope, delivery schedule, target budgets, as well as an earned value plan that will be used as the basis for status measurement and updates across the project life cycle. Baseline stage. Once the preliminary scope and deliverables have been agreed to between the contractor and the client, the detailed planning, project schedule, and formal work authorization is developed. The baseline is cre- ated now that key work packages and deliverables are identified and budgets are assigned to create a time-phased project budget. Maintenance phase. Once the project baseline is established and formally signed off by key parties, the project passes to the monitoring and control stage, where the key advantages of EVM are clearly realized. Performance is measured, schedules are updated, and all significant variances are identified and reported. People responsible for the actual performance of the work receive EVM reports at the detailed level and the system is transparent so that government representatives, interested in status updates, can receive real-time data on cost performance (CPI) and schedule performance (SPI) in accordance with contract requirements. Throughout the project life cycle, EVM consid- erations continue to drive the project forward; shaping the organization of the project, the development of critical planning features, and the manner in which it is controlled.
At Northrop Grumman, EVM is not simply an option, but a corporate mandate. The four-tier approach helps the company tailor the system to each new project in order to apply it correctly for maximum benefit, cost control, and corporate profitability.5
13.5 Issues in the Effective Use of Earned Value Management 453
activity has been completed, at which time it becomes 100% completed. Like the 0/100 rule above, this decision model is used most often for work packages of very short duration.
3. Percentage complete rule—Under the percentage complete rule, the project manager and team members mutually agree on a set of completion milestones, whether they are based on quarters (25%, 50%, 75%, 100%), thirds (33%, 67%, 100%), or some other values. Then, on a regular basis, the status of each in-process work package in the project is updated. A new completion value may or may not be assigned to the package, and then the project’s EVM is updated based on this new information. As noted earlier, the key to making this process work lies in honest appraisal of the status of ongoing activities, based not on time elapsed or budget spent but on actual percentage of the activity completed.
An important caveat with the percentage complete rule has to do with the controversy surround- ing the level of detail to be used in calculating task value. Critics of earned value argue that unless reasonable gradients of completion are acknowledged and used by all parties, there is a high potential to create misleading information through the earned value analysis. For example, one criticism leveled at EVM argues that excessive levels of detail are dangerous and essentially not interpretable. For example, suppose a project uses completion values based on 10% increments (e.g., 10%, 20%, 30%, etc.). As a practical matter, it is fundamentally impossible to successfully delineate between, say, 30% and 40% completion for most project activities; hence, the use of too much detail is more likely to mislead than to clarify the true status of a project.
The chief exception to this difficulty with the project complete rule occurs in projects in which there is a fair degree of prior knowledge of how well delineated the development process is or in situations where it is easier to accurately gauge the amount of work done within any proj- ect task. In a simple construction project, for example, where the project steps are well known in advance and rigorously followed, a higher level of detail can be employed. Likewise, in the case of software development where the task consists of writing code, a senior programmer may have an excellent sense of the total number of lines of code needed to complete the task. Therefore, if the total task requires approximately 5,000 lines of code and a programmer completes 500 lines of the program, it would be reasonable to assign a figure of 10% completion of the total task perfor- mance requirement.
The importance of establishing a reasonable standard for project performance cannot be overemphasized. In the absence of a clear set of guidelines for identifying cutoff points and the appropriate level of detail, it is possible to derive very different conclusions from the same project information. For example, let us revisit the earlier EVM problem shown in Table 13.4. This time, we will use two decision rules as regards the levels of detail for project activities in calculating value and EV. In the first example, shown in Table 13.10, column 1 gives the original calculations, based on the first set of percentage complete values from Table 13.4. In column 2, I have employed a simple decision rule based on three increments (0, 50%, and 100% complete). Column 3 shows a slightly more precise level of detail, employing levels of 0, 25%, 50%, 75%, and 100% complete. I have rounded the original percentage completion values (shown in column 1) to the closest equiv- alents in the other two alternatives.
Note what occurs as a result of using alternative levels of detail; rounding the level of com- pletion values to a simplified 0%, 50%, 100% completion scheme results in significantly differ- ent results, both for projecting future project schedule and cost deviations. The original schedule overrun that projected a new completion of 16.28 months has been improved to 12.73 months, or a schedule overrun of only 5.73 months. Likewise, the original earned value budget projection for the project ($210,714) has been reduced to $163,889, for a savings of $46,825 due merely to adopt- ing an alternative level of detail for project activity completion. Similarly, using the level of detail with slightly more gradients (0, 25%, 50%, 75%, and 100%), shown in column 3, and rounding the original values to most closely match this alternative, we discover that the future projections for the project, as developed through the SPI and CPI, are more negative than the originals. The new project schedule is forecast to last 17.5 months and the revised project budget has increased to $226,923, or $16,209 more than our first projection. Even more compelling, the absolute differ- ence between the high and low budget projections is more than $63,000, all due to moving from a three-point level of detail (column 2) to one based on five levels of completion (column 3). Is one approach “more correct” than the other? Absent some decision rule or logic for making these determinations, it is virtually impossible to suggest that one level of detail is more representative of the “true” status of project activity completion.
454 Chapter 13 • Project Evaluation and Control
As this chapter has noted, earned value management is not a flawless methodology for project tracking and control, particularly as it pertains to the problems in accurately determining the percentage of work packages completed at any time point during the project’s development. Nevertheless, EVM does represent a significant step forward in allowing project managers and their teams to gain a better perspective on the “true” nature of a project’s status midstream, that is, in the middle of the development and implementation process.6 This sort of real-time informa- tion can be invaluable in helping us gain current information and begin to develop realistic plans for correcting any systematic problems with the development process. The more we learn, and the faster we learn it, of a project’s status, the better equipped we will be to take measured and effec- tive steps to get a troubled project back on track.
In recent years, developments in project monitoring and control have led to some modifica- tions and enhancements to the standard EVM processes widely in use. For example, an additional criticism of earned value relates to its use of cost data (budget) to assess not only cost performance but also schedule performance. That is, it has been reasonably argued that earned value does a fine job of monitoring cost performance relative to value earned in a project at any given point in time. We have seen how this information can be used for forecasting project costs at completion. However, there is a philosophical disconnect in the idea of using cost data to measure schedule per- formance; that is, using this same cost information as a means for forecasting schedule performance has been shown to potentially skewed data, leading to falsely positive or negative status assess- ments the further into a project we get. One solution recommended is the use of earned schedule (es) as a complement to standard EVM analysis.7 ES is developed in detail in the appendix to this chapter. Another criticism of EVM lies in its potential lack of usefulness for some classes of projects that are more complex or involve uncertain technologies, like R&D or radical new product devel- opment projects. For these complex product system (CoPS) projects, authors have suggested that standard metrics of project performance may simply be ineffective and instead, propose a variation of EVM referred to as earned readiness Management (erM) that focuses on the maturity of the project and overall system development. Though still in its early stages, ERM shows promise for combining the best features of earned value with a broader perspective needed for these projects.8
13.6 huMAn FActors in Project eVAluAtion And control
Another recurring problem with establishing accurate or meaningful EVM results has to do with the need to recognize the human factor in all project activity completion projections. That is, there is a strong incentive in most organizations for project team members to continuously report
tABle 13.10 Calculating Project Mercury earned Value Based on Alternate levels of Detail (in thousands $)
Col. 1 (original)
Col. 2 (0, 50, 100%)
Col. 3 (0, 25, 50, 75, 100%)
Activity Planned
Value % Comp. Value % Comp. Value % Comp. Value
Staffing 15 100 15 100 15 100 15
Blueprinting 10 80 8 100 10 75 7.5
Prototype Development 10 60 6 50 5 50 5
Full Design 21 33 7 50 10.5 25 5.25
Construction 32 25 8 50 16 25 8
Transfer 10 0 0 0 0 0 0
Punch List 20 0 0 0 0 0 0
Total EV =
SPI and Projection to Completion
CPI and Project to Completion
44/103 = .43
(1/.43 * 7) = 16.28 mos. 44/78 = .56
$210,714
44
56.5/103 = .55
(1/.55 * 7) = 12.73 mos. 56.5/78 = .72
$163,889
56.5 40.75
40.75/103 = .40
(1/.40 * 7) = 17.5 mos. 40.75/78 = .52
$226,923
13.6 Human Factors in Project Evaluation and Control 455
stronger results than may be warranted in the interest of looking good for the boss or sending the right signals about the project’s status. Worse, many times implicit or even explicit pressure may come from the project managers themselves, as they find themselves under pressure from top management to show steady results. Hence, the level of detail controversy is not simply one of accurately matching technical performance on the project to the best external indicator or number of gradients. Often it is also a problem rooted in human behavior, suggesting that excessively fine levels of detail not only may be inappropriate for the types of project activities we engage in, but also may be prone to misuse by the project team.
The common feature of control approaches is their reliance on measurable data based on project outcomes; that is, the results of project actions taken in any one time period are collected and reported after the fact. Hence, we determine schedule or cost variance after the information has been collected and reported. Some project management writers, however, have suggested that it is equally essential to maintain a clear understanding of the importance of the management of people in the project implementation process. In other words, the data collected from the various evaluation and control techniques represents important outcome measures of the project; however, comprehensive project control also requires that the project organization employ sufficient process evaluations to determine how the development is progressing.
A key component of any process evaluation of project performance must include an assess- ment of its people, their technical skills, management, teamwork, communication processes, moti- vation, leadership, and so forth.9 In short, many evaluation and control techniques (such as EVM) will do an excellent job in answering the “what” questions (What is the status of the project? What is our cost efficiency factor? What tasks are currently running late?), but they do not attempt to answer the “why” questions (Why are activities behind schedule? Why is the project team per- forming at a suboptimal level?). In an effort to provide answers to the “why” questions, work on the human processes in project management has been initiated and continues to be done.
Past research examining the impact of human factors on project success bears out the impor- tance of considering the wider “management” challenge inherent in managing projects. For exam- ple, early work of Baker and colleagues10 identified a variety of factors that directly predict project success. Included in their list were issues such as:
• Project coordination and relations among stakeholders • Adequacy of project structure and control • Project uniqueness, importance, and public exposure • Success criteria salience and consensus • Lack of budgetary pressure • Avoidance of initial overoptimism and conceptual difficulties
Their findings bear out the importance of having a clear knowledge of the managerial challenges involved when implementing projects. These findings have been reinforced by other research that has examined a set of both successful and unsuccessful projects across their life cycle.11
The findings of such research are intriguing because of the importance they place on the man- agerial and human behavioral aspects of project management for project success. As Table 13.11 shows, regardless of whether the project studied was a success or failure, the factors that were of highest importance demonstrate some clear similarities. Issues such as leadership, top management support, team and personal motivation, and client support were consistently linked with project success, suggesting once again that an understanding of the project management process is keenly important for determining the likelihood of a project’s successful outcome.
One of the key recurring problems, however, with making wider use of nontechnical infor- mation as a method for controlling projects and assessing their ongoing status lies in the question of measurement. Although financial and schedule data can be easily acquired and are relatively easy to interpret, measuring human processes such as motivation level, leadership, top manage- ment support, and so forth is highly problematic. As a result, even though a number of project management theorists have accepted the argument for inclusion of human process factors in assessing the status of ongoing projects, there has been little agreement as to how best to make such assessments, interpret the results, and use the findings in a prescriptive manner to improve the project processes.
The work of Pinto and Slevin12 addresses the shortcomings with behavioral assessments of project management processes. They formulated the Project Implementation Profile (PIP), a
456 Chapter 13 • Project Evaluation and Control
10-factor instrument that assesses the performance of the project team with respect to 10 critical success factors, that is, those factors they found to be predictive of project success. The advantage of the PIP is that it allows project teams to formally assess their performance on the ongoing proj- ect, allowing for midcourse correction and improvement of the management process itself. The 10 critical success factors represent an important, supplemental source of information on the proj- ect’s status. Coupled with other types of evaluation and control information supplied through the tracking of cost and schedule variance against the project baseline, project teams can develop a comprehensive vision of the project’s status throughout its development.
critical success Factor definitions
The 10 critical success factors identified by Pinto and Slevin in formulating the Project Implementation Profile (PIP) instrument are (1) project mission, (2) top management support, (3) project plans and schedules, (4) client consultation, (5) personnel, (6) technical tasks, (7) client acceptance, (8) monitoring and feedback, (9) communication, and (10) troubleshooting. Each of these factors is discussed in more detail in the text that follows.
Project mission, the first factor, relates to the underlying purpose for the project. Project suc- cess is predicated on the importance of clearly defining objectives as well as ultimate benefits to be derived from the project. Many times, the initial stage of project management consists of a feasibil- ity decision. Are the objectives clear and can they succeed? Project mission refers to a condition in which the objectives of the project are clear and understood, not only by the project team involved, but also by the other departments in the organization. The project manager must be concerned with clarification of objectives as well as achieving broad belief in the congruence of the objectives with overall organizational objectives.
Top management support, the second factor, has long been considered of great importance in distinguishing between ultimate success and failure. Project managers and their teams not only are dependent upon top management for authority, direction, and support, but also are the conduit for implementing top management’s plans, or goals, for the organization.13 Further, if the project is being developed for an internal audience (one within the company), the degree of management
tABle 13.11 Key Success Drivers and inhibitors
Stage Successful Projects factors Stage failed Projects factors
Formation Personal ambition Formation Unmotivated team
Top management support Poor leadership
Team motivation Technical limitations
Clear objectives Funding problems
Technological advantage
Buildup Team motivation Buildup Unmotivated team
Personal motivation Conflict in objectives
Top management support Leadership problems
Technical expertise Poor top management support
Technical problems
Main Phase Team motivation Main Phase Unmotivated team
Personal motivation Poor top management support
Client support Deficient procedures
Top management support
Closeout Personal motivation Closeout Poor control
Team motivation Poor financial support
Top management support Unclear objectives
Financial support Leadership problems
13.6 Human Factors in Project Evaluation and Control 457
support for a project will lead to significant variations in the degree of acceptance or resistance to that project or product. Top management’s support of the project may involve aspects such as allocation of sufficient resources (financial, personnel, time, etc.) as well as project management’s confidence in support from top management in the event of a crisis.
The third factor, project plans and schedules, refers to the importance of developing a detailed plan of the required stages of the implementation process. It is important to remember, however, that the activities associated with project planning and project scheduling are distinct from each other. Planning, which is the first and more general step in developing the project implementation strategy, is composed of scope definition, creation of a Work Breakdown Structure, and resource and activity assignments. Scheduling is the setting of time frames and milestones for each impor- tant element in the overall project. The project plans and schedules factor is concerned with the degree to which time schedules, milestones, labor, and equipment requirements are specified. There must be a satisfactory measurement system to judge actual performance against budget allowances and time schedules.
The fourth factor is client consultation. The “client” is anyone who ultimately will be using the product of the project, either as a customer outside the company or as a department within the organization. Increasingly, the need for client consultation has been recognized as important in attempting a system implementation; indeed, the degree to which clients are personally involved in the implementation process correlates directly with variations in their support for projects.14 It is important to identify the clients for the project and accurately determine if their needs are being met.
The fifth factor, personnel, includes recruitment, selection, and training of project team mem- bers. An important, but often overlooked, aspect of the implementation process concerns the nature of the personnel involved. In many situations, personnel for the project team are chosen with less than full regard for the skills necessary to actively contribute to implementation success. The personnel factor is concerned with developing an implementation team with the ability and commitment to perform their functions.
Technical tasks, the sixth factor, refers to the necessity of having not only the required numbers of personnel for the implementation team but also ensuring that they possess the technical skills and the technology and technical support needed to perform their tasks. It is important that people managing a project understand the technology involved. In addition, adequate technology must exist to support the system. Without the necessary technology and technical skills, projects quickly disintegrate into a series of miscues and technical errors.
The seventh factor, client acceptance, refers to the final stage in the project development pro- cess, at which time the overall efficacy of the project is to be determined. In addition to client consultation at an earlier stage in the system implementation process, it remains of ultimate impor- tance to determine whether the clients for whom the project has been initiated will accept it. Too often project managers make the mistake of believing that if they handle the other stages of the implementation process well, the client (whether internal or external to the organization) will accept the resulting system. In fact, client acceptance is a stage in the project life cycle process that must be managed like any other.
The eighth factor, monitoring and feedback, refers to the project control process by which, at each stage of the project implementation, key personnel receive feedback on how the project is progressing compared to initial projections. Making allowances for adequate monitoring and feed- back mechanisms gives the project manager the ability to anticipate problems, to oversee correc- tive measures, and to ensure that no deficiencies are overlooked. Project managers need to empha- size the importance of constant monitoring and fine-tuning project development; tracking control charts and Earned Value Management are excellent examples of the techniques and types of moni- toring and control mechanisms necessary to develop a project.
Communication, the ninth factor, is not only essential within the project team itself, but—as we discussed in regard to stakeholder management—it is also vital between the team and the rest of the organization as well as with clients. Communication refers both to feedback mechanisms and to the necessity of exchanging information with both clients and the rest of the organization con- cerning the project’s capabilities, the goals of the project, changes in policies and procedures, status reports, and so forth. Therefore, channels of communication are extremely important in creating an atmosphere for successful project implementation.
Troubleshooting is the tenth and final factor of the model. Problem areas exist in almost every project development. The measure of a successful project is not the avoidance of problems, but
458 Chapter 13 • Project Evaluation and Control
taking the correct steps once problems develop. Regardless of how carefully the implementation effort is initially planned, it is impossible to foresee every trouble area or problem that can possibly arise. As a result, the project manager must include mechanisms in the implementation plan for recognizing problems and for troubleshooting them when they arise. Such mechanisms make it easier not only to react to problems as they arise, but also to foresee and possibly forestall potential problem areas in the implementation process.
conclusions
This chapter has addressed a variety of approaches to project tracking and control. Although most of the models mentioned have many advantages associated with them, project management pro- fessionals should be aware of the concomitant problems and shortcomings with these approaches as well. The key to developing a useful project control process lies in recognizing the strengths and weaknesses of the alternative methods and ultimately developing an approach that best suits the organization, the projects undertaken, and the stakeholders of the project. A project control process should be tailored, to the degree possible, to the specific needs, culture, and uses for which an organization intends it. Thus, under some circumstances, a simplified control system may be suf- ficient for providing management with the types of information they require. Alternatively, some organizations and/or projects will need to employ highly sophisticated control processes because of either the unique nature of their operating processes or the demands that developing projects place on them (e.g., governmental stipulations and mandates).15
The comprehensive and intricate concept of project evaluation and control involves the need to understand alternative evaluation techniques, recognizing their particular usefulness and the types of information they can provide. Ultimately, however, these techniques are merely as good as the project planning process; that is, a good control system cannot make up for inadequate or inaccurate initial plans. Without effective baselines, good project cost estimation and budgeting, and adequate resource commitments, project control simply will not work. However, if the up- front planning has been done effectively, project evaluation and control can work in harmony with the project plans, providing the project team with not only a clear road map to success, but also excellent mileposts along the highway.
Summary
1. Understand the nature of the control cycle and four key steps in a general project control model. Accurately evaluating the status of ongo- ing projects represents a real challenge for project teams and their parent organizations. The process of project control, consisting of a recurring cycle of four steps (setting goals, measuring progress, com- paring actual progress with plans, and correcting significant deviations), demonstrates a theoreti- cal framework for understanding the continuous nature of project monitoring and control.
2. recognize the strengths and weaknesses of com- mon project evaluation and control methods. A number of project evaluation and control techniques exist, from the simplistic to the highly sophisticated. The most basic evaluation process, project S-curves, seeks to reconcile the project schedule baseline with planned budget expenditures. The cumula- tive project budget, resembling the letter S, creates a schedule/budget relationship that early project monitoring methods found useful as an indicator of expected progress. Unfortunately, a number of problems with S-curve analysis preclude its use as
an accurate evaluation and control technique. Other evaluation methods include milestone analysis and tracking Gantt charts. These approaches link project progress to the schedule baseline, rather than the project budget. As with S-curves, milestones and tracking charts have some advantages, but they all share a common drawback: the inability of these methods to accurately assess the status of ongoing activities, and therefore the “true” status of the proj- ect, in a meaningful way. Specifically, because these monitoring and control methods do not link sched- ule and budget baselines to actual ongoing project performance, they cannot offer a reasonable mea- sure of project status.
3. Understand how earned value Management can assist project tracking and evaluation. Earned Value Management (EVM) is a powerful tool, devel- oped through a mandate from the federal govern- ment, to directly link project progress to schedule and budget baselines. In effect, EVM provides the missing piece of the control puzzle by requiring the reporting of actual project activity status on a real- time basis. Earned Value Management has begun to
Solved Problem 459
diffuse more rapidly within ordinary project-based organizations as they increasingly perceive the advantages of its use.
4. Use earned value Management for project portfo- lio analysis. The basic principles that govern the use of earned value on a single project can be applied to a portfolio of projects. Each project is evaluated in terms of the basic efficiency indexes for time and cost, and an overall evaluation can be calculated for a firm’s project portfolio. This portfolio model allows us to determine the overall efficiency with which we manage projects, to see which are ahead and which are behind the firm’s baseline standards.
5. Understand behavioral concepts and other human issues in evaluation and control. A final method for tracking and evaluating the status of ongoing projects lies in the use of alternative control methods, aimed at assessing and managing the “human issues” in project management, rather than focusing exclusively on the technical ones. In other words, EVM and other pre- viously discussed tracking and control mechanisms focus on data-driven measures of performance (bud- get, schedules, and functionality); but other models that address the managerial and behavioral issues in
project management argue that unless we merge these data-driven models with those that assess the project in terms of human interactions (leadership, top man- agement support, communication, and so forth), it is possible to generate a great deal of information on the current status of a project without recognizing the pri- macy of human behavior in determining the success or failure of project activities. To create a well-rounded sense of the project performance, it is necessary to blend purely data-driven monitoring models with managerial-based approaches.
6. Understand the advantages of earned schedule methods for determining project schedule vari- ance, schedule performance index, and estimates to completion. The accompanying text should be: Earned schedule represents an alternative method for determining the status of a project’s schedule to completion by recognizing that standard Earned Value employs budget data to calculate not only estimates of project cost but also time (schedule). Arguing that “schedule is different,” earned sched- ule identifies the possible schedule estimation errors EVM can be prone to and offers some correc- tive procedures to adjust these calculations.
Key Terms
Actual cost of work per- formed (AC) (p. 442)
Budgeted cost at completion (BAC) (p. 442)
Control cycle (p. 434) Cost Performance Index
(CPI) (p. 442)
Earned Readiness Management (ERM) (p. 454)
Earned Schedule (ES) (p. 454)
Earned value (EV) (p. 441) Earned Value Management
(EVM) (p. 440)
Estimate at Completion (EAC) (p. 449)
Milestone (p. 437) Planned value (PV)
(p. 444) Project baseline (p. 435) Project control (p. 435) Project S-curve (p. 435)
Schedule Performance Index (SPI) (p. 442)
Schedule variance (p. 445)
Tracking Gantt chart (p. 439)
exAMPle of eArNeD VAlUe The Project Management Institute, the largest professional or- ganization of project management professionals in the world, has developed a simple example of the logic underlying earned value assessment for a project. It demonstrates, in the following steps, the calculation of the more relevant components of earned value and shows how these steps fit together to contribute an overall understanding of earned value.
Earned value is a management technique that relates re- source planning to schedules and to technical cost and schedule
requirements. All work is planned, budgeted, and scheduled in time-phased planned value increments constituting a cost and schedule measurement baseline. There are two major objectives of an earned value system: to encourage contractors to use effective internal cost and schedule management control systems, and to permit the customer to be able to rely on timely data produced by those systems for determining product-oriented contract status.
Baseline. The baseline plan in Table 13.12 shows that six work units (A–F) would be completed at a cost of $100 for the period covered by this report.
Solved Problem
tABle 13.12 Baseline Plan Work Units
A B C D e f total
Planned value 10 15 10 25 20 20 100
460 Chapter 13 • Project Evaluation and Control
schedule variance. As work is performed, it is “earned” on the same basis as it was planned, in dollars or other quantifi- able units such as labor hours. Planned value compared with earned value measures the dollar volume of work planned versus the equivalent dollar volume of work accomplished. Any difference is called a schedule variance. In contrast to what was planned, Table 13.13 shows that work unit D was not completed and work unit F was never started, or $35 of the planned work was not accomplished. As a result, the schedule variance shows that 35% of the work planned for this period was not done.
cost variance. Earned value compared with the actual cost in- curred (from contractor accounting systems) for the work per- formed provides an objective measure of planned and actual cost. Any difference is called a cost variance. A negative variance means more money was spent for the work accomplished than
was planned. Table 13.14 shows the calculation of cost variance. The work performed was planned to cost $65 and actually cost $91. The cost variance is 40%.
spend comparison. The typical spend comparison approach, whereby contractors report actual expenditures against planned expenditures, is not related to the work that was accomplished. Table 13.15 shows a simple comparison of planned and actual spending, which is unrelated to work performed and therefore not a useful comparison. The fact that the total amount spent was $9 less than planned for this period is not useful without the comparisons with work accomplished.
Use of earned value data. The benefits to project management of the earned value approach come from the disciplined planning conducted and the availability of metrics that show real variances from the plan in order to generate necessary corrective actions.16
tABle 13.13 Schedule Variance Work Units
A B C D e f total
Planned value 10 15 10 25 20 20 100
Earned value 10 15 10 10 20 — 65
Schedule variance 0 0 0 -15 0 -20 -35, or -35%
tABle 13.15 Spend Comparison Approach Work Units
A B C D e f total
Planned spend 10 15 10 25 20 20 100
Actual spend 9 22 8 30 22 — 91
Variance 1 -7 2 -5 -2 20 9, or 9%
tABle 13.14 Cost Variance Work Units
A B C D e f total
Earned value 10 15 10 10 20 — 65
Actual cost 9 22 8 30 22 — 91
Cost variance 1 -7 2 -20 -2 0 -26, or -40%
13.1 Why is the generic four-stage control cycle useful for un- derstanding how to monitor and control projects?
13.2 Why was one of the earliest project tracking devices re- ferred to as an S-curve? Do you see value in the desire to link budget and schedule to view project performance?
13.3 What are some of the key drawbacks with S-curve analysis?
13.4 What are the benefits and drawbacks with the use of milestone analysis as a monitoring device?
13.5 It has been said that Earned Value Management (EVM) came about because the federal government often used “cost-plus” contractors with project organiza- tions. Cost-plus contracting allows the contractor to recover full project development costs plus accumu- lated profit from these contracts. Why would requiring contractor firms to employ Earned Value Management help the government hold the line against project cost overruns?
Discussion Questions
Problems 461
13.6 What are the major advantages of using EVM as a proj- ect control mechanism? What do you perceive as its disadvantages?
13.7 Consider the major findings of the research on human factors in project implementation. What common themes seem to emerge from the research on behavioral issues as a critical element in determining project status?
13.8 The 10 critical success factors have been applied in a variety of settings and project types. Consider a project with which you have been involved. Did any of these
factors emerge clearly as being the most important for the project’s success? Why?
13.9 Identify the following terms: PV, EV, and AC. Why are these terms important? How do they relate to one another?
13.10 What do the Schedule Performance Index and the Cost Performance Index demonstrate? How can a project manager use this information to estimate future project performance?
13.11 Suppose the SPI is calculated as less than 1.0. Is this good news or bad news for the project? Why?
Problems
13.1 Using the following information, develop a simple S-curve representation of the expected cumulative budget expen- ditures for this project (figures are in thousands).
Duration (in days)
10 20 30 40 50 60 70 80
Activities 4 8 12 20 10 8 6 2
Cumulative 4 12 24 44 54 62 68 70
13.2 Suppose the expenditure figures in Problem 1 were modi- fied as follows (figures are in thousands).
Duration (in days)
10 20 30 40 50 60 70 80
Activities 4 8 10 14 20 24 28 8
Cumulative 4 12 22 36 56 80 108 116
Draw this S-curve. What does the new S-curve diagram represent? How would you explain the reason for the dif- ferent, non-S-shape of the curve?
13.3 Assume the following information (figures are in thousands):
Budgeted Costs for Sample Project
Duration (in weeks)
5 10 15 20 25 30 35 40 45 total
Design 6 2 1
Engineer 5 10 12 6
Install 7 15 30 8
Test 1 5 8 5 2
Total Monthly
Cumul.
a. Calculate the monthly budget and the monthly cumu- lative budgets for the project.
b. Draw a project S-curve identifying the relation- ship between the project’s budget baseline and its schedule.
13.4 Use the following information to construct a tracking Gantt chart using MS Project.
Activities Duration Preceding Activities
A 5 days none
B 4 days A
C 3 days A
D 6 days B, C
E 4 days B
F 2 days D, E
Highlight project status on day 14 using the tracking op- tion and assuming that all tasks to date have been com- pleted on time. Print the output file.
13.5 Using the information in Problem 4, highlight the project’s status on day 14 but assume that activity D has not yet begun. What would the new tracking Gantt chart show? Print the output file.
13.6 Use the following table to calculate project schedule vari- ance based on the units listed (figures are in thousands).
Schedule Variance Work Units
A B C D e f total
Planned Value 20 15 10 25 20 20 110
Earned Value 25 10 10 20 25 15
Schedule Variance
13.7 Using the data in the table below, complete the table by calculating the cumulative planned and cumula- tive actual monthly budgets through the end of June. Complete the earned value column on the right. Assume the project is planned for a 12-month duration and a $250,000 budget.
462 Chapter 13 • Project Evaluation and Control
Activity jan feb Mar Apr May jun Plan % Comp. Value
Staffing 8 7 15 100 ____
Blueprinting 4 6 10 100 ____
Prototype Development
2 8 10 70 ____
Full Design 3 8 10 21 67 ____
Construction 2 30 32 25 ____
Transfer 10 10 0 ____
Monthly Plan ____ ____ ____ ____ ____ ____ ____ ____ ____
Cumulative ____ ____ ____ ____ ____ ____ ____ ____ ____
Monthly Actual 10 15 6 14 9 40
Cumul. Actual ____ ____ ____ ____ ____ ____ ____ ____ ____
13.8 Using the data from Problem 7, calculate the following values:
Schedule Variances
Planned Value (PV) _____________
Earned Value (EV) _____________
Schedule Performance Index _____________
Estimated Time to Completion _____________
Cost Variances
Actual Cost of Work Performed (AC) _____________
Earned Value (EV) _____________
Cost Performance Index _____________
Estimated Cost to Completion _____________
13.9 You are calculating the estimated time to completion for a project of 15 months’ duration and a budgeted cost of $350,000. Assuming the following information, calculate the Schedule Performance Index and the estimated time to completion (figures are in thousands).
Schedule Variances
Planned Value (PV) 65
Earned Value (EV) 58
Schedule Performance Index _____________
Estimated Time to Completion _____________
13.10 Suppose, for Problem 9, that your PV was 75 and your EV was 80. Recalculate the SPI and estimated time to com- pletion for the project with this new data.
13.11 You have collected the following data based on three months of your project’s performance. Complete the table. Calculate cumulative CPI (CPIC). How is the proj- ect performing after these three months? Is the trend pos- itive or negative?
eV eVC AC ACC CPi CPiC
January $30,000 $35,000
February $95,000 $100,000
March $125,500 $138,000
13.12 You have collected EV, AC, and PV data from your project for a five-month period. Complete the table. Calculate SPIC and CPIC. Compare the cost and schedule performance for the project on a month- by-month basis and cumulatively. How would you assess the performance of the project? (All values are in thousands $.)
eV eVC AC ACC PV PVC SPi SPiC CPi CPiC
April 8 10 7
May 17 18 16
June 25 27 23
July 15 18 15
August 7 9 8
13.13 Assume you have collected the following data for your project. Its budget is $75,000 and it is expected to last four months. After two months, you have calculated the fol- lowing information about the project:
PV = $45,000 EV = $38,500 AC = $37,000
table for Problem 13.12
Case Study 13.1 463
Calculate the SPI and CPI. Based on these values, esti- mate the time and budget necessary to complete the proj- ect. How would you evaluate these findings? Are they good news or bad news?
13.14 (Optional—Based on Earned Schedule discussion in Appendix 13.1.) Suppose you have a project with a Budget at Completion (BAC) of $250,000 and a projected length of
10 months. After tracking the project for six months, you have collected the information in the table below.
a. Complete the table. How do Earned Value SPI (based on $) and Earned Schedule SPI differ?
b. Calculate the schedule variances for the project for both Earned Value and Earned Schedule. How do the values differ?
jan feb Mar Apr May jun
PV ($) 25,000 40,000 70,000 110,000 150,000 180,000
EV ($) 20,000 32,000 60,000 95,000 123,000 151,000
SV ($) -5,000 SPI ($) 0.80
ES (mo.) 0.80
SV (t) -.20 SPI (t) 0.80
CaSe STUDy 13.1 The IT Department at Kimble College
As part of the effort to upgrade the IT capabilities at Kimble College, the institution initiated a program more than five years ago to dramatically increase the size of the IT department while focusing efforts toward data management and improving administrative func- tions. As part of the upgrade, Kimble hired a new vice president of information systems, Dan Gray, and gave him wide latitude in identifying problems and initiat- ing projects that would result in improving the IT sys- tem campuswide. Dan also was given the final power to determine the development of new projects, which allowed him to field requests from the various college departments, determine which needs were most press- ing, and create a portfolio of prioritized projects. Within two years of his arrival at Kimble, Dan was overseeing an IT department of 46 people, divided into four levels: (1) help desk support, (2) junior programmers, (3) se- nior programmers, and (4) project team leaders. There were only four project team leaders, with the majority of Dan’s staff working either at the entry-level help desk or as junior programmers.
In the past three years, the performance of Dan’s department has been mixed. Although it has been responsible for taking on a number of new proj- ects, its track record for delivery is shaky; for exam- ple, well over half of the new projects have run past their budgets and initial schedules, sometimes by more than 100%. Worse, from the college president’s perspective, it does not appear that Dan has a clear sense of the status of the projects in his department.
At board meetings, he routinely gives a rosy picture of his performance but seems incapable of answer- ing simple questions about project delivery beyond vague declarations that “things are moving along just fine.” In the president’s view, Dan’s depart- mental track record is not warranting the additional funding he keeps requesting for new equipment and personnel.
You have been called in, as an independent consultant, to assess the performance of Dan’s department and, in particular, the manner in which it runs and monitors the development of its project portfolio. Your initial assessment has confirmed the college president’s hunch: The ongoing status of projects in the IT department is not clearly under- stood. Everyone is working hard, but no one can provide clear answers about how the projects being developed are doing. After asking several project leaders about the status of their projects and repeat- edly receiving “Oh, fine” as a response, you realize that they are not being evasive; they simply do not know from day to day how their projects are pro- gressing. When you ask them how they determine project status, the general consensus is that unless the project team leaders hear bad news, they assume everything is going fine. Furthermore, it is clear that even if they wanted to spend more time monitoring their ongoing projects, they are not sure what types of information they should collect to develop better on-time project tracking and control.
(continued)
464 Chapter 13 • Project Evaluation and Control
Questions
1. As a consultant monitoring this problem, what so- lutions will you propose? To what degree has Dan’s management style contributed to the problems?
2. What are some types of project status information you could suggest the project team leaders begin
to collect in order to assess the status of their projects?
3. How would you blend “hard data” and “mana- gerial or behavioral” information to create a com- prehensive view of the status of ongoing projects in the IT department at Kimble College?
CaSe STUDy 13.2 The Superconducting Supercollider
Conceived in the 1980s as a device to accelerate particles in high-energy physics research, the Superconducting Supercollider (SSC) was a political and technical hot potato from the beginning. The technical challenges as- sociated with the SSC were daunting. Its purpose was to smash subatomic particles together at near the speed of light. That would require energy levels of 40 trillion elec- tron volts. Using the physics of quantum mechanics, the goal of the project was to shed light on some of the fun- damental questions about the formation of the universe. The SSC was designed to be the largest particle accelera- tor ever constructed, far bigger than its counterpart at Fermi Laboratory. In order to achieve these energy levels, a set of 10,000 magnets was needed. Each of the magnets, cylindrical in shape (1 foot in diameter and 57 feet long), would need to operate at peak levels if the accelerator were to achieve the necessary energy levels for proton collision. The expected price tag just for the construction of the magnets was estimated at $1.5 billion.
The technical difficulties were only part of the over- all scope of the project. Construction of the SSC would be an undertaking of unique proportions. Scientists deter- mined that the accelerator required a racetrack-shaped form, buried underground for easier use. The overall circumference of the planned SSC required 54 miles of tunnel to be bored 165 to 200 feet underground. The ini- tial budget estimate for completing the project was $5 billion, and the estimated schedule would require eight years to finish the construction and technical assemblies.
The SSC’s problems began almost immediately after President Reagan’s 1988 kickoff of the project. First, the public (including Congress) had little understand- ing of the purpose of the project. A goal as nebulous as “particle acceleration” for high-energy physics was not one easily embraced by a majority of citizens. The origi- nal operating consortium, URA, consisted of 80 public and private American research centers and universities, but it was expected that European and Asian scientists also would wish to conduct experiments with the SSC. Consequently, the U.S. Department of Energy hoped to offset some of the cost through other countries. While initially receptive to the idea of participating in the
project, these countries became vague about their levels of contribution and time frame for payment.
Another huge problem was finding a suitable loca- tion for the site of the SSC. At its peak, work on the SSC was expected to employ 4,500 workers. Further, once in full-time operation, the SSC would require a perma- nent staff of 2,500 employees and an annual operating budget of $270 million. Clearly, it was to almost every state’s interest to lure the SSC. The result was a political nightmare as the National Research Council appointed a site review committee to evaluate proposals from 43 states. After making their judgments based on a series of performance and capability criteria, the committee narrowed their list to eight states. Finally, in late 1988, the contract for the SSC was awarded to Waxahachie, Texas, on a 16,000-acre tract south of Dallas. While Texas was thrilled with the award, the decision meant ruffled feathers for a number of other states and their disappointed congressional representatives.
The final problem with the SSC almost from the beginning was the mounting federal budget deficit, which caused more and more politicians to question the decision to allocate money at a time when Congress was looking for ways to cut more than $30 billion from the budget. This concern ended up being a long-term problem, as the SSC was allocated only $100 million for 1989, less than one third of its initial $348 million fund- ing request. Budget battles would be a constant refrain throughout the SSC’s short life.
Work proceeded slowly on the Waxahachie site throughout the early 1990s. Meanwhile, European finan- cial support for the project was not forthcoming. The various governments privately suspected that the project would never be completed. Their fears were becoming increasingly justified as the cost of the project contin- ued to rise. By 1993, the original $5 billion estimate had ballooned to $11 billion. Meanwhile, less than 20% of the construction had been completed. The process was further slowed when Congress began investigating expenditures and determined that accounting proce- dures were inadequate. Clearly, control of the project’s budget and schedule had become a serious concern.
Case Study 13.3 465
In a last desperate move to save SSC funding, Energy Secretary Hazel O’Leary fired URA as prime contractor for the construction project. There was talk of replacing URA with a proven contractor—Martin Marietta and Bechtel were the two leading candidates. By then, however, it was a case of too little, too late. Costs continued to climb and work proceeded at such a snail’s pace that when the 1994 federal budget was put together, funding for the SSC had been removed entirely. The project was dead. The nonrecoverable costs to the U.S. taxpayer from the aborted project have been estimated at anywhere between $1 billion and $2 billion.
Few questioned the government’s capability to construct such a facility. The technology, though lead- ing-edge, had been used previously in other research laboratories. The problem was that the pro- and anti- SSC camps tended to split between proponents of pure research and those who argued (increasingly swaying political support their way) that multibil- lion-dollar research having no immediate discernible impact on society was a luxury we could not afford, particularly in an era of federal budget cuts and hard choices. The SSC position was further weakened by the activities of the research consortium super- vising the project, URA. Its behavior was termed increasingly arrogant by congressional oversight
groups that began asking legitimate questions about expenditures and skyrocketing budget requests. In place of evidence of definable progress, the project offered only a sense of out-of-control costs and poor oversight—clearly not the message to send when American taxpayers were questioning their decision to foot a multibillion-dollar bill.17
Questions
1. Suppose you were a consultant called into the project by the federal government in 1990, when it still seemed viable. Given the start to the project, what steps would you have taken to reintroduce some positive “spin” on the Superconducting Supercollider?
2. What were the warning signs of impending fail- ure as the project progressed? Could these signs have been recognized so that problems could have been foreseen and addressed or, in your opinion, was the project simply impossible to achieve? Take a position and argue its merits.
3. Search for “superconducting supercollider” on the Internet. How do the majority of stories about the project present it? Given the negative perspective, what are the top three lessons to be learned from this project?
CaSe STUDy 13.3 Boeing’s 787 Dreamliner: Failure to Launch
It was never supposed to be this difficult. When Boeing announced the development of its newest and most high-tech aircraft, the 787 Dreamliner, it seemed that it had made all the right decisions. By focusing on build- ing a more fuel-efficient aircraft, using lighter compos- ite materials that saved on overall weight and resulted in a 20% lower fuel consumption, outsourcing devel- opment work to a global network of suppliers, and pioneering new assembly techniques, it appeared that Boeing had taken a clear-eyed glimpse into the future of commercial air travel and designed the equivalent of a “home run”—a new aircraft that ticked all the boxes.
Airline customers seemed to agree. When Boeing announced the development of the 787 and opened its order book, it quickly became the best-selling aircraft in history, booking 847 advance orders for the airplane. With list prices varying from $161 to $205 million each, depending on the model, the Dreamliner was worth billions in long-term revenue streams for the company. The aircraft was designed for long-range flight and
could seat up to 330 passengers. Most industry analysts agreed: With the introduction of the Dreamliner, the future had never seemed brighter for Boeing.
But when the first delivery dates slipped, yet again, into 2012, four years behind schedule, and the company’s stock price was battered in the mar- ketplace, Boeing and its industry backers began try- ing to unravel a maze of technical and supply chain problems that were threatening not just the good name of Boeing, but the viability of the Dreamliner. Derisively nicknamed the “7-L-7” for “late,” the proj- ect had fallen victim to extensive cost overruns and continuous schedule slippages, and had recently encountered a number of worrisome structural and electrical faults that were alarming airlines awaiting delivery of their aircraft. These events combined to put Boeing squarely on the hot seat, as they sought to find a means to correct these problems and salvage both their reputation and the viability of their high- profile aircraft.
(continued)
466 Chapter 13 • Project Evaluation and Control
The time frame for the development of the Dreamliner offers some important milestones in its path to commercialization, including the following:
• 2003—Boeing officially announced the develop- ment of the “7E7,” its newest aircraft.
• 2004—First orders were received for 55 of the air- craft from All Nippon Airlines, with a delivery date set for late 2008.
• 2005—The 7E7 was officially renamed the 787 Dreamliner.
• July 2007—The first Dreamliner was unveiled in a rollout ceremony at Boeing’s assembly plant in Everett, Washington.
• October 2007—The first six-month delay was announced. The problems identified included supplier delivery delays and problems with the fasteners used to attach composite components of the aircraft together. The program director, Mike Bair, was replaced a week later.
• November 2008—Boeing announced the fifth delay in the schedule, due to continuing coordi- nation problems with global suppliers, repeated failures of fasteners, and the effects of a machin- ist strike. The first flight was pushed out until the second quarter of 2009.
• June 2009—Boeing announced that the first flight was postponed “due to a need to reinforce an area within the side-of-body section of the aircraft.” They further delayed the first test flight until late 2009. At the same time, Boeing wrote off $2.5 bil- lion in costs for the first three 787s built.
• December 7, 2009—First successful test flight of the 787.
• July 2010—Boeing announced that schedule slip- pages would push first deliveries into 2011. They blamed an engine blowout at a test bed in Rolls- Royce’s plant, although Rolls denied that its en- gines were the cause of schedule delay.
• August 2010—Air India announced a $1 billion compensation claim against Boeing, citing re- peated delivery delays for the twenty-seven 787s it had on order.
• November 9, 2010—Fire broke out on Dreamliner #2 on its test flight near Laredo, Texas. The fire was quickly extinguished and the cause was attributed to a fault in the electrical systems. The aircraft were grounded for extensive testing. With that technical mishap, it was feared that the delivery date for the aircraft would be pushed into 2012.
• January 19, 2011—Boeing announced another delay in its 787 delivery schedule. The latest (and seventh official) delay came more than two months after the Dreamliner #2 electrical fire. All Nippon Airways, the jet’s first customer, was informed that the earliest it could expect delivery of the first of its 55-airplane order would be the third quarter of 2011, though expectations were high that the air- line might not receive any aircraft until early 2012, making final delivery nearly 3½ years late.
There is no question that the Dreamliner is a state- of-the-art aircraft. The 787 is the first commercial air- craft that makes extensive use of composite materials in place of aluminum, both for framing and for the external “skin.” In fact, each 787 contains approximately 35 tons of carbon fiber-reinforced plastic. Carbon fiber composites have a higher strength-to-weight ratio than traditional
Figure 13.18 Boeing’s 787 Dreamliner
Source: Peter Carey/Alamy
Case Study 13.3 467
aircraft materials, such as aluminum and steel, and help make the 787 a lighter aircraft. These composites are used on fuselage, wings, tail, doors, and interior sections, and aluminum is used on wing and tail leading edges. The fuselage is assembled in one-piece composite barrel sec- tions instead of the multiple aluminum sheets and some 50,000 fasteners used on existing aircraft. Because of the lighter weight and a new generation of jet engines used to power it, the Dreamliner has a lower cost of opera- tions, which makes it especially appealing to airlines. Additionally, the global supply chain that Boeing estab- lished to manufacture components for the aircraft reads like a who’s who list of international experts. Firms in Sweden, Japan, South Korea, France, England, Italy, and India all have major contracts with Boeing to supply parts of the aircraft, which are shipped to two assembly plants in the United States (one in Washington and the other planned for South Carolina) for final assembly and testing before being sent to customers. In short, the 787 is an incredibly complicated product, both in terms of its physical makeup and the intricate supply chain that Boeing created to produce it.
So complicated is the 787 program, in fact, that it may be the case that in developing the Dreamliner, Boeing has simply tried to do too much at one time. Critics have argued that creating a new generation aircraft with composite materials while routing an entirely new supply chain, maintaining quality con- trol, and debugging a long list of unexpected problems is simply beyond the capability of any organization, no matter how highly skilled in project manage- ment they may be. Suppliers have been struggling to meet Boeing’s exacting technical standards, with early test versions of the nose section, for example, failing Boeing’s testing and being deemed unaccept- able. Boeing has undertaken a huge risk with the Dreamliner. In a bid to hold down costs, the company has engaged in extreme outsourcing, leaving it highly dependent on a far-flung supply chain that includes 43 “top-tier” suppliers on three continents. It is the first time Boeing has ever outsourced the most critical areas of the plane, the wing and the fuselage. About 80% of the Dreamliner is being fabricated by outside suppli- ers, versus 51% for existing Boeing planes.
Jim McNerney, chief executive of Boeing, has admitted that the 787 development plans, involving sig- nificant outsourcing, were “overly ambitious”: “While game-changing innovation of this magnitude is never easy, we’ve seen more of the bleeding edge of innova- tion than we’d ever care to see again. So we are adjusting our approach for future programs.” McNerney contin- ued, “We are disappointed over the schedule changes. Notwithstanding the challenges that we are experienc- ing in bringing forward this game-changing product, we remain confident in the design of the 787.”
Three years Later—Update on the Status of the Dreamliner
Boeing’s 787 officially entered commercial service on September 25, 2011, with Air Nippon of Japan. As of 2014, there were orders placed for 1,031 Dreamliners and a total of 162 had been delivered and were in service world- wide. Since introduction, Dreamliners have logged more than 500,000 hours in the air with 21 carriers. Troubles with reliability continue to dog the Dreamliner, however. Although original concerns about cracks and structural flaws in the composite materials appear to have abated, since its debut in late 2011, the 787 has experienced a series of malfunctions, including a three-month ground- ing of the global fleet in 2013 after battery meltdowns on two planes. Air India, which hasn’t reported an annual profit since 2007, and low-cost airliner Norwegian Air built their growth plans around the composite-material airliner and its promise of more fuel-efficient operation. However, both airlines have reported dissatisfaction with the current state of Dreamliner quality and reliabil- ity, throwing their operating strategies into question. Air India, which has ordered 27 of the aircraft, was forced to divert one of its 787s to Kuala Lumpur as recently as February 2014 as a precaution after a software fault on a flight to New Delhi from Melbourne. They recently announced that they would be seeking compensation from Boeing after the carrier found that its Dreamliners are not as fuel efficient as Boeing claimed when selling them. In January 2014, Japan Airlines, one of the biggest operators of the Dreamliner, found a battery cell in an empty jet smoking during preflight maintenance.
Randy Tinseth, Boeing’s vice president of market- ing, said reliability levels are climbing as the company works closely with airline operations personnel and makes other changes. “All of our customers are seeing improvement in reliability over time,” Mr. Tinseth said, but he declined to predict when the 787 would match the 777’s track record exceeding 99% reliability.
“We continue on a positive trajectory,” he said, “but when we get there, it’s difficult to predict.”18
Questions
1. In evaluating the development of the 787 Dreamliner, what are some of the unique factors in this project that make it so difficult to accu- rately monitor and control?
2. Comment on the following statement: “In trying to control development of the 787, Boeing should have been monitoring and controlling the perfor- mance of its suppliers.” Do you agree or disagree that Boeing’s project management should have been fully extended to its suppliers? Why?
3. As you read the case, what do you see as the criti- cal issues that appear to be causing the majority of the project delivery and quality problems?
468 Chapter 13 • Project Evaluation and Control
Internet exercises
13.1 Go to www.brighthubpm.com/monitoring-projects/51982- understanding-the-s-curve-theory-for-project-manage- ment-monitoring/ and read the article on the multiple uses of project S-curves. What does the article suggest about the use of different S-curves and analysis methods?
13.2 Go to www.nu-solutions.com/downloads/earned_value_ lite.pdf and access the article by Q. W. Fleming and J. M. Koppelman, “Earned Value Lite: Earned Value for the Masses.” From your reading, summarize the 10 key steps in EVM and the advantages they argue earned value offers for project control and evaluation.
13.3 Go to www.acq.osd.mil/evm and explore the various links and screens. What does the size and diversity of this site tell you about the acceptance and use of earned value in organizations today?
13.4 Go to www.erpgenie.com/general/project.htm and ac- cess the reading on “Six Steps to Successful Sponsorship.” Consider the critical success factors it identifies for man- aging an IT project implementation. How do these factors map onto the 10-factor model of Pinto and Slevin? How do you account for differences?
13.5 Type in the address www.massdot.state.ma.us/highway/ TheBigDig.aspx and navigate through the Web site sup- porting the Boston Tunnel project. Evaluate the perfor- mance of this project using the model of 10 critical project success factors discussed in this chapter. How does the project rate, in your opinion? Present specific examples and evidence to support your ratings.
MS Project exercises
Exercise 13.1
Using the following data, enter the various tasks and create a Gantt chart using MS Project. Assign the individuals responsi-
ble for each activity, and once you have completed the network, update it with the percentage complete tool. What does the MS Project output file look like?
Activity Duration Predecessors resource % Complete
A. Research product 6 — Tom Allen 100
B. Interview customers 4 A Liz Watts 75
C. Design survey 5 A Rich Watkins 50
D. Collect data 4 B, C Gary Sims 0
Exercise 13.2
Now, suppose we assign costs to each of the resources in the following amounts:
resource Cost
Tom Allen $50/hour
Liz Watts $55/hour
Rich Watkins $18/hour
Gary Sims $12.50/hour
Create the resource usage statement for the project as of the most recent update. What are project expenses per task to date?
Exercise 13.3
Use MS Project to create a Project Summary Report of the most recent project status.
Exercise 13.4
Using the data shown in the network precedence table below, enter the various tasks in MS Project. Then select a date approximately halfway through the overall project duration, and update all tasks in the network to show current status.
You may assume that Activities A through I are now 100% com- pleted. What does the tracking Gantt look like?
Project—Remodeling an appliance
Activity Duration Predecessors
A. Conduct competitive analysis 3 —
B. Review field sales reports 2 —
C. Conduct tech capabilities assessment 5 —
D. Develop focus group data 2 A, B, C
E. Conduct telephone surveys 3 D
F. Identify relevant specification improvements 3 E
G. Interface with marketing staff 1 F
H. Develop engineering specifications 5 G
I. Check and debug designs 4 H
J. Develop testing protocol 3 G
K. Identify critical performance levels 2 J
MS Project Exercises 469
Activity Duration Predecessors
L. Assess and modify product components 6 I, K
M. Conduct capabilities assessment 12 L
N. Identify selection criteria 3 M
O. Develop RFQ 4 M
P. Develop production master schedule 5 N, O
Q. Liaison with sales staff 1 P
R. Prepare product launch 3 Q
Exercise 13.5
Use the following information to construct a Gantt chart in MS Project. What is the expected duration of the project (critical path)? Assume the project is halfway finished in terms of the schedule (day 16 completed) but activity completion percent- ages are as shown. Construct a tracking Gantt chart for the proj- ect (be sure to show the percentage complete for each activity). What would it look like?
Activity
Duration (in Days)
Predecessors
% Completed (Day 16)
A 6 None 100%
B 2 A 100%
C 4 A 100%
D 7 C 14%
E 10 D 0%
F 6 B, C 33%
G 5 E, F 0%
Exercise 13.6
Using the date for Problem 14, add the resource assignments to each of the activities and input their hourly rates as shown. Construct an earned value chart for the project. Which ac- tivities have negative variances? What is the estimate at completion (EAC) for the project? (Hint: Remember to click “Set baseline” prior to creating EVM table. The EVM table is found by clicking on the “View” tab, then “Tables,” then “Other Tables”.)
resource Name Hourly rate ($)
Josh 12.00
Mary 13.50
Evan 10.00
Adrian 22.00
Susan 18.50
Aaron 17.00
Katie 32.00
Project—Remodeling an appliance (Continued) PMP certificAtion sAMPle QUestions
1. Suppose your PV for a project was $100,000 and your EV was $60,000. Your Schedule Performance Index (SPI) for this project would be:
a. 1.52 b. .60 c. You cannot calculate SPI with the information
provided d. 1.66
2. Activity A is worth $500, is complete, and actually cost $500. Activity B is worth $1,000, is 50% complete, and has actually cost $700 so far. Activity C is worth $100, is 75% complete, and has actually cost $90 so far. What is the total earned value for the project?
a. $1,600 b. $1,075 c. $1,290 d. -$1,075
3. Using the information in Question 2, calculate the Cost Performance Index (CPI) for the project.
a. 1.20 b. -1.20 c. 0.83 d. -0.83
4. Which of the following gives the remaining amount to be spent on the project in Questions 2 and 3 based on current spending efficiency?
a. Budget remaining b. Estimate to complete c. Cost variance d. Cost Performance Index (CPI)
5. Activity A is worth $100, is complete, and actually cost $150. Activity B is worth $500, is 75% complete, and has actually cost $400 so far. Activity C is worth $500, is 25% complete, and has actually cost $200 so far. What is the estimated cost to completion for the project?
a. $1,100 b. $750 c. $880 d. $1,375
Answers: 1. b—SPI is calculated by dividing earned value (EV) by planned value (PV); 2. b—Earned Value is $1,075 to date; 3. c—CPI is calculated as earned value (EV) divided by actual cost (AC). In this case, that is $1.075/$1,290, or 0.83; 4. b— Estimate to complete; 5. d—Estimate to completion is based on the formula (1/.80) * $1,100, or $1,375.
470 Chapter 13 • Project Evaluation and Control
APPeNDix 13.1
earned Schedule* Research and practice using Earned Value Management (EVM) has shown that this method for project tracking and forecasting is reliable and offers the project team an accurate snapshot of both the project’s current status and a forecast of its completion conditions. However, in recent years, some critics have noted that EVM also has some important limitations. One of the most important of these limitations is the fact that all project status information is derived in terms of the project’s budget, including the project Schedule Performance Index (SPI) and schedule variance. A second concern voiced about EVM is that it becomes less precise (unreliable) the farther a project pro- gresses and that by the latter stages of the project, the information derived from EVM may be either unjustifiably positive or negative. Finally, it has been suggested that EVM becomes an imprecise metric for projects that have already overrun, that is, whose duration has exceeded the original baseline end date. In other words, how do we determine the ongoing status of a project once it is officially “late”?
Let us consider these objections to EVM in turn. First, we know that EVM is derived from the proj- ect’s budget, not its schedule performance, but intuitively, it makes better sense that a project’s schedule performance should be in terms of units of time. For example, remember that Schedule Variance (SV) is calculated by Earned Value (EV) minus Planned Value (PV), and the formula for finding the Schedule Performance Index (SPI) is SPI = EV/PV. Thus, we are assessing the project’s schedule performance, not as a function of time, but of money. We can see this graphically by considering Figure 13.19, which shows a generic project EVM measure. The vertical axis of the performance chart is in terms of budget dollars, and the resulting schedule variance is also expressed in terms of the project’s budget. The EVM metrics for schedule, then, are Earned Value (EV) and Planned Valued (PV).
The second concern suggests that the closer to completion a project gets, the less precise and useful is the information that EVM provides. The significance of cost-based ratios used with planned duration to predict a project’s final duration can be illustrated by a simple example. Assume a proj- ect with a budget of $1,000 has completed most of its planned work, with EV = $990, PV = $1,000, BAC = $1,000, and PD (Planned Duration) = 12 weeks. These metrics give an SPI of 0.99, which yields a final duration of 12.12 weeks: Estimate at Completion = 1/.99 * 12. We can see from simple inspection that as EV approaches PV, and ultimately BAC, forecasted project duration decreases, because the upper limit for EV is always BAC. Regardless of whether this calculation is performed during week 10 or week 15, the cost-based ratio yields the same results and can show that an
* Portions of this appendix were prepared in collaboration with Bill Mowery, MPM, PMP.
CPI = EV/AC
PV
CV
SV
EV
AC
Time
$
SPI = EV/PV
Figure 13.19 earned Value Performance Metrics
Source: Lipke, W. H. (2003, Spring). “Schedule is different,” The Measureable News, pp. 10–15. Project Management Institute, Schedule is different,” The Measureable News “ pp. 10–15. Project Management Institute, Inc (2003). Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
Appendix 13.1 Earned Schedule 471
in-progress project has a forecasted completion date in the past. This issue suggests that EVM be- comes less precise the closer a project is to its completion. Where early indicators are reasonably ac- curate, by the final stages of the project’s life cycle, the project schedule metric (remember, it is based on monetary units) is likely to show encouraging evidence of completion. However, it is during the final stages of the project that Cost Variance and Schedule Variance data begin to diverge.
Critics of EVM have pointed out this quirk in the system; as a project moves closer to its sup- posed completion date, its planned value converges on the project’s planned cost—that is, PV = BAC (Budgeted at Completion). However, with late projects, the project’s planned value has usually already converged on the project’s overall budget (i.e., PV = BAC), while EV is still incrementally achieving this value. Once PV = BAC at the project’s planned completion date, the project cannot be measured as being “later.” In effect, there are measurement errors that do not become apparent until a project is already late.
The solution that researchers have adopted is to introduce the concept of earned schedule (es) project management. Earned Schedule recognizes, first, that for accurate forecasts of project sched- ule, some unit of time must be the metric to consider, rather than EVM’s cost-based approach. Earned Schedule uses a relatively simple formulation to achieve its purpose, which is to derive a time-based measurement of schedule performance by comparing a project’s EV today (actual time) to a point on the performance measurement baseline (the Planned Value curve) where it should have been earned. The difference in the two times represents a true time-based Schedule Variance, or, in Earned Schedule notation, SVt. The derivation of Earned Schedule metrics is shown in Figure 13.20. As the figure demon- strates, the Schedule Performance Index for any project can be reconfigured from the original, SPI($) = EV/PV, to the alternative: SPI(t) = ES/AT. In the second equation, the Schedule Performance Index for an Earned Schedule calculation divides the Earned Schedule value by Actual Time. Likewise, in this second configuration, Earned Schedule variance equals Earned Schedule minus Actual Time (ES – AT).
To calculate Earned Schedule, we use the project’s current earned value (EV) to identify in which time increment of PV the cost value occurs. The value of ES is then equal to the cumulative time to the beginning of that increment plus some portion of it. For example, suppose we wished, at the end of June, to calculate the ES of a project that began January 1 (see Figure 13.20). We use monthly increments in our calculation; thus, because we are at the end of June, AT = 6. We can see visually that by the end of June, the project’s schedule has slipped some degree; in fact, we see that we have completed all of April and some portion of May’s work by the end of June. We can use the following formula to determine the project’s ES:
ES = C + (EV - PVc)/(PVc + 1 - PVc)
where C is the number of time increments on the project schedule baseline where EV Ú PV. In our specific example above, with monthly time increments, the formula becomes:
ES = 4 + 3EV(+) - PV(April)4 > 3PV(May) - PV(April)4
PV Comparison of EV
and PV
SPI(t) = ES/AT SV($) = EV − PV
SV(t) = ES − ATSPI($) = EV/PV
EV
J J JF M M Time
$
A A
ES = All of April + Portion of May
Figure 13.20 earned Schedule example (end of june)
472 Chapter 13 • Project Evaluation and Control
We can see an example of a complete Earned Schedule calculation in the following case. Sup- pose we have been collecting data on the status of our project for the past six months, using the standard EVM method. Table 13.16 gives this information.
Calculating the ES for January, we have the values:
EV (Jan) = 95 PV (Jan) = 105
We can use this information to calculate ES, SV, and SPI for the project, using the formulas we found previously:
ES = 0 + (95 - 0)/(105 - 0) = 0.90 SV (t) = ES - AT, or 0.90 - 1.0 = -0.10 SPI (t) = ES/C, or 0.90/1 = 0.90
Using this information, let’s complete the ES table to the end of June (see Table 13.15). The table now aligns with Figure 13.20.
We can see from the information we have calculated in Table 13.17 coupled with Figure 13.20 that by the end of June, a comparison of the project’s PV with actual ES shows a serious slippage. Specifically, by the end of June, we have only completed the project’s schedule to approximately halfway through the May period. Furthermore, the schedule variance and SPI values have been worsening over the past four months, suggesting that the slippage is accelerating. This information is not necessarily obvious from the standard earned value table, which uses project budget dollars. Finally, research demonstrates that the SPI based on dollars versus the SPI using time can become very different as the project moves toward completion. Thus, as noted earlier, real data confirm one of the central concerns about EVM, namely, that its estimates for schedule become increasingly imprecise the later into the project we move.
The relative accuracy of Earned Schedule versus EVM can be further illustrated when we use it to anticipate schedule variances and possible project delays. Let’s use the following example to compare the results we might find when using EVM versus Earned Schedule. Suppose we have a
tABle 13.16 earned Schedule table
jan feb Mar Apr May jun jul
PV ($) 105 200 515 845 1,175 1,475 1,805 EV ($) 95 180 470 770 1,065 1,315 SV ($) -10 -20 -45 -75 -110 -160
SPI ($) 0.91 0.90 0.91 0.91 0.90 0.89 Month Count 1 2 3 4 5 6 7 ES (mo)
SV (t)
SPI (t)
tABle 13.17 Completed earned Value/Schedule table
jan feb Mar Apr May jun jul
PV ($) 105 200 515 845 1,175 1,475 1,805
EV ($) 95 180 470 770 1,065 1,315
SV ($) -10 -20 -45 -75 -110 -160 SPI ($) 0.91 0.90 0.91 0.91 0.90 0.89
Month Count 1 2 3 4 5 6 7
ES (mo) 0.90 1.79 2.86 3.77 4.66 5.47
SV (t) -0.10 -0.21 -0.14 -0.23 -0.33 -0.53 SPI (t) 0.90 0.90 0.95 0.94 0.93 0.91
Appendix 13.1 Earned Schedule 473
project planned for 18 months’ duration (PD) and a total budget of $231,280 (BAC). At the end of 16 months, $234,080 has been spent (AC) while we only have achieved an EV of $207,470. We first calculate budget performance, or Cost Variance (CV), as CV = EV - AC, or:
CV = +207,470 - +234,080, or - +26,610
Schedule Variance (SV), for our example, also can be calculated based on this information. Recall that SV = EV - PV, or:
SV = +207,470 - +220,490, or - +13,020
The above figures show that the project is over budget and behind schedule, but to what degree over the life of the project? We can also use this information to calculate Schedule Performance Index (SPI) and Cost Performance Index (CPI) for the project. Respectively, these values are found as:
CPI = EV>AC, or +207,470>+234,080 = .89 SPI = EV>PC, or +207,470>+220,490 = .94
We know from earlier in this chapter that the simple interpretation of these values suggests that each dollar spent on the project is only producing 89 cents’ worth of work, and each 8-hour day is producing only 7.5 hours of effective work. What would the long-term effects of these values be on the project? One way to determine that is to estimate the final schedule duration, the Estimate at Completion for Time (EACt), found through the following formula:
EACt =
BAC SPI BAC PD
where BAC = Budget at Completion ($231,280) PD = Planned Duration (18 months) SPI = Schedule Performance Index (0.94)
Solving for EACt in our example, we find:
231,280 0.94
231,280 18
= 19.15 months
We can solve a similar equation to find the Estimate at Completion (EAC) for the project’s budget. Dividing the BAC of $231,280 by the CPI (0.89) yields an estimated cost at completion for the proj- ect of $259,870.
To see how Earned Value and Earned Schedule calculations can lead to important divergence, let’s use the same information from the above example, shown in Table 13.18, with ES formulas to determine the project’s schedule status when we use time metrics, not budget data.
tABle 13.18 Sample Performance Data (in thousands $)
Dec jan feb Mar
Month 13 14 15 16
Planned Value 184.47 198.72 211.49 220.49
Earned Value 173.51 186.71 198.74 207.47
Cumul. Actual Cost 196.76 211.25 224.80 234.08
474 Chapter 13 • Project Evaluation and Control
tABle 13.19 Comparison of eVM and earned Schedule Metrics for Sample Project
Metric earned Value earned Schedule
Schedule Variance (SV) -$13,020 -1.31 months Schedule Performance Index (SPI) 0.94 0.92
Forecast Duration (IEAC) 19.15 months 19.61 months
Recall that at the end of month 16, we are interested in determining the status of the schedule. Our formula to calculate Earned Schedule (ES) is given as:
ES = C + (EV - PVc)>(PVc + 1 - PVc)
where C = the number of time months on the schedule baseline where EV Ú PV, or 14 months EV = $207,470 PV14 = $198,720 PV15 = $211,490 ES = 14 + (207,470 - 198,720)/(211,490 - 198,720) = 14.69 months
Applying our Schedule Variance equation, SVt = ES - Actual Time (AT), we find that the project is 1.31 months behind schedule (SVt = 16 - 14.69). We can now apply this information to the Earned Schedule’s Schedule Performance Index (SPIt) formula, given as:
SPIt = ES>AT = 14.69/16 = 0.92
Lastly, we can derive our projection for the project’s final duration, using the Independent Estimate at Completion for time (IEACt), and come up with the duration forecast, as shown:
IEACt = PD>SPIt where
PD (Planned Duration) = 18 months IEACt = 18/0.92 = 19.51 months Consider the results condensed into Table 13.19. When we compare the variances, perfor-
mance indexes, and projections to completion for the project using EVM versus Earned Schedule, we can see some important discrepancies. First, note the obvious point that for schedule variance, Earned Schedule provides an actual duration estimate based on time, not dollars. Thus, we can relate to the information more easily. However, it is more intriguing to see the differences when Earned Schedule is applied to the SPI in order to determine the likely overall project duration. In this case, the Earned Schedule value suggests final project duration of 19.51 months, or about half a month later than a similar calculation using EVM.
Earned Schedule is a relatively new concept that has sparked debate within the project management community. To date, most research supporting Earned Schedule has come either from small samples in field tests or through computer models. Nevertheless, the underlying arguments supporting Earned Schedule do bear careful consideration. Research suggests that EVM has a tendency to become unreliable as a project moves to completion, and thus it is im- portant to understand to what degree that is of the ES approach actually improves. Another advantage of Earned Schedule is that the calculations are relatively straightforward and the data can be manipulated from the same information obtained for EVM calculations. Thus, at a minimum, Earned Schedule offers an important “check” to verify the accuracy of EVM for project monitoring, particularly as the project begins to overrun its baseline or move toward completion.19
Notes 475
1. Collins, D. (2011, July 5). “CityTime crime is Mayor Bloomberg’s shame,” Huffington Post. www.huffingtonpost. com/daniel-collins/citytime-crime-is-mayor-b_b_890202. html?view=screen; Gross, S. (2011, June 29). “NYC wants $600M from tech giant in scandal,” Huffington Post. www. huffingtonpost.com/huff-wires/20110629/us-citytime- scandal/; Charette, R. (2011, June 21). “New York City’s $720 million CityTime project a vehicle for unprecedented fraud says US prosecutor,” IEEE Spectrum. http:// spectrum.ieee. org/riskfactor/computing/it/new-york-citys-720- million- citytime-project-a-vehicle-for-unprecedented-fraud-says-us- prosecutor; Weiser, B. (2014, April 28). “Three contractors sentenced to 20 years in CityTime corruption case,” New York Times. www.nytimes.com/2014/04/29/nyregion/three- men-sentenced-to-20-years-in-citytime-scheme.html?_r=0; Hennelly, B. (2011, June 29). CityTime payroll scandal a cautionary tale,” WNYC. www.wnyc.org/story/143601- citytime-cautionary-tale/ Press Release by United States Attorney, Southern District of New York, “Manhattan U.S. Attorney Announces Charges Against Four New Defendants in an Unprecedented Scheme to Defraud New York City in Connection with CityTime Project,” June 20, 2011. Project Management Institute, A Guide to the Project Management Body of Knowledge (PMBOK® Guide)—Fifth Edition. Project Management Institute, Inc (2013). Copyright and all rights reserved. Material from this publication has been re- produced with the permission of PMI
2. Departments of the Air Force, the Army, the Navy, and the Defense Logistics Agency. (1987). Cost/Schedule Control Systems Criteria: Joint Implementation Guide. Washington, DC: U.S. Department of Defense; Fleming, Q., and Koppelman, J. (1994). “The essence of evolution of earned value,” Cost Engineering, 36(11): 21–27; Fleming, Q., and Koppelman, J. (1996). Earned Value Project Management. Upper Darby, PA: Project Management Institute; Fleming, Q., and Koppelman, J. (1998, July). “Earned value proj- ect management: A powerful tool for software projects,” Crosstalk: The Journal of Defense Software Engineering, pp. 19–23; Hatfield, M. A. (1996). “The case for earned value,” PMNetwork, 10(12): 25–27; Robinson, P. B. (1997). “The performance measurement baseline—A statistical view,” Project Management Journal, 28(2): 47–52; Singletary, N. (1996). “What’s the value of earned value?” PMNetwork, 10(12): 28–30.
3. Brandon, Jr., D. M. (1998). “Implementing earned value eas- ily and effectively,” Project Management Journal, 29(2): 11–18.
4. Brandon, Jr., D. M. (1998), ibid. 5. Petro, T., and Milani, K. (2000). “Northrop Grumman’s
four-tier approach to earning value,” Management Accounting Quarterly, 1(4): 40–48.
6. Christensen, D. S., McKinney, J., and Antonini, R. (1995). “A review of estimate at completion research,” Journal of Cost Analysis, pp. 41–62; Christensen, D. S. (1998). “The costs and benefits of the earned valued manage- ment process,” Acquisition Review Quarterly, 5, pp. 373– 86; Marshall, R. A., Ruiz, P., and Bredillet, C. N. (2008). “Earned value management insights using inferential statistics,” International Journal of Managing Projects in Business, 1: 288–94.
7. Lipke, W. J. (2003, Spring). “Schedule is different,” The Measurable News, pp. 10–15.
8. Magnaye, R. B., Sauser, B. J., and Ramirez-Marquez, J. E. (2010). “Systems development planning using readiness levels in a cost of development minimization model,” Systems Engineering, 13: 311–323; Magnaye, R., Sauser, B., Patanakul, P., Noqicki, D., and Randall, W. (2014). “Earned readiness management for scheduling, monitor- ing and evaluating the “Development of complex prod- uct systems,” International Journal of Project Management. http://dx.doi.org/10.1016/j.ijproman.2014.01.009
9. Morris, P. W. G. (1988). “Managing project interfaces— Key points for project success,” in Cleland, D. I., and King, W. R. (Eds.), Project Management Handbook, 2nd ed. New York: Van Nostrand Reinhold, pp. 16–55.
10. Baker, B. N., Murphy, D. C., and Fisher, D. (1988). “Factors affecting project success,” in Cleland, D. I., and King, W. R. (Eds.), Project Management Handbook, 2nd ed. New York: Van Nostrand Reinhold, pp. 902–19.
11. Morris, P. W. G. (1988), as cited in note 9. 12. Slevin, D. P., and Pinto, J. K. (1987). “Balancing strategy
and tactics in project implementation,” Sloan Management Review, 29(1): 33–41; Pinto, J. K. (1998). “Critical success factors,” in Pinto, J. K. (Ed.), Project Management Handbook. San Francisco, CA: Jossey-Bass, pp. 379–95; Slevin, D. P., and Pinto, J. K. (1986). “The project implementation pro- file: New tool for project managers,” Project Management Journal, 17(3): 57–70; Belout, A., and Gauvreau, C. (2004). “Factors affecting project success: The impact of human resource management,” International Journal of Project Management, 22: 1–11; Belout, A. (1998). “Effect of human resource management on project effectiveness and suc- cess: Toward a new conceptual framework,” International Journal of Project Management, 16: 21–26.
13. Beck, D. R. (1983). “Implementing top management plans through project management,” in Cleland, D. I., and King, W. R. (Eds.), Project Management Handbook. New York: Van Nostrand Reinhold, pp. 166–84.
14. Manley, J. H. (1975). “Implementation attitudes: A model and a measurement methodology,” in Schultz, R. L., and Slevin, D. P. (Eds.), Implementing Operations Research/ Management Science. New York: Elsevier, pp. 183–202.
15. Lock, D. (2000). “Managing cost,” in Turner, J. R., and Simister, S. J. (Eds.), Gower Handbook of Project Management, 3rd ed. Aldershot, UK: Gower, pp. 293–321.
16. www.acq.osd.mil/pm/evbasics.htm 17. h t t p : / / p s n c e n t r a l . c o m / r e s e a r c h / S S C . h t m ;
“Superconducting Supercollider project hangs on edge.” (1993, September 27). Boston Globe, p. 1; “Texas lands the SSC.” (1988, November 18). Science, 242: 1004; “University consortium faulted for management, accounting.” (1993, July 9). Science, 261: 157–58.
18. Blass, G. (2008). “Boeing’s 787 Dreamliner has a composite problem.” www.zimbio.com/Boeing+787+Dreamliner/ a r t i c l e s / 1 8 / B o e i n g + 7 8 7 + D re a m l i n e r + c o m p o s i t e + problem; Cohan, P. (2010). “Yet another problem for Boeing’s 787 Dreamliner.” www.dailyfinance.com/ s t o r y / c o m p a n y - n e w s / y e t - a n o t h e r - p r o b l e m - f o r - boeings-787-dreamliner/19734254/; Done, K. (2007,
Notes
476 Chapter 13 • Project Evaluation and Control
October 10). “Boeing 787 Dreamliner hit by delays,” Financial Times. www.ft.com/cms/s/0/d42602de-774c- 11dc-9de8-0000779fd2ac.html#axzz17R08yXyV; “The 787 encounters turbulence.” (2006, June 19). www.busi- nessweek.com/magazine/ content/06_25/b3989049. htm; Johnsson, J. (2010, December 4). “787 Dreamliner proving bedeviling for Boeing,” Chicago Tribune. http:// articles.chicagotribune.com/2010-12-04/business/ ct-biz-1205-787-delay-20101204_1_dreamliner-teal- group-richard-aboulafia; Lemer, J. (2010, November 12). “Boeing 787 risks further delays,” Financial Times. w w w. f t . c o m / c m s / s / 0 / 9 4 1 d f 7 3 8 - e e 8 a - 11 d f - 9 d b 0 - 00144feab49a.html#axzz17QyTnbm0; Norris, G. (2010, November 15). “787 schedule hinges on fire inves- tigation,” Aviation Week. www.aviationweek.com/ aw/generic/story.jsp?id=news/avd/2010/11/15/09. xml&channel=comm; Norris, G. (2010, November 26). “787 design and software changes follow fire,” Aviation Week. www.aviationweek.com/aw/generic/ story.jsp?id=news/awx/2010/11/24/awx_11_24_2010_ p0-272395.xml&channel=comm; Sanders, P., and Cameron, D. (2011, January 19). “Boeing again delays 787 delivery,” Wall Street Journal, p. B3; Pasztor, A. (2014, July 13). “Boeing Says Dreamliner ’s Reliability Still Falls Short,” Wall Street Journal. http://online.wsj.com/
articles/boeing-says-reliability-of-787-dreamliner- is-still-falling-short-1405259732; Kotoky, A. (2014, February 11). “Boeing says Air India Unhappy with 787 Dreamliner ’s Performance,” Bloomberg. http:// www.bloomberg.com/news/2014-02-11/boeing-says- air-india-unhappy-with-787-dreamliner-s-reliability. html ”The Courage To Innovate” Wings Club of New York (2010, November). Jim McNerney Chairman, President and Chief Executive Officer, The Boeing Company, Boeing Company, 2010.
19. Lipke, W. H. (2003, Spring). “Schedule is different,” The Measureable News, pp. 10–15; Lipke, W. H. (2009). Earned Schedule. Lulu Publishing; Book, S. A. (2006, Spring). “Earned schedule and its possible unreliability as an indi- cator,” The Measureable News, pp. 24–30; Lipke, W. H. (2006, Fall). “Applying earned schedule to critical path analysis and more,” The Measureable News, pp. 26–30; Book, Stephen A. (2003, Fall). “Issues associated with basing decisions on schedule variance in an earned-value management system,” National Estimator, Society of Cost Estimating and Analysis, pp. 11–15; www.earnedschedule.com; Vanhouckel, M., and Vandevoorde, S. (2007). “A simula- tion and evaluation of earned value metrics to forecast the project duration,” Journal of the Operational Research Society, 58(10): 1361–74.
477
1 4 ■ ■ ■
Project Closeout and Termination
Chapter Outline Project Profile
Duke Energy and its Cancelled Levy County Nuclear Power Plant
introduction 14.1 tyPes of Project termination
Project managers in Practice Mike Brown, Rolls-Royce Plc
14.2 natural termination—the closeout Process Finishing the Work Handing Over the Project Gaining Acceptance for the Project Harvesting the Benefits Reviewing How It All Went Putting It All to Bed Disbanding the Team What Prevents Effective Project Closeouts?
14.3 early termination for Projects Making the Early Termination Decision
Project Profile
Case—Aftermath of a “Feeding “Frenzy”: Dubai and Cancelled Construction Projects
Shutting Down the Project Project management research
in Brief Project Termination in the IT Industry Allowing for Claims and Disputes
14.4 PreParing the final Project rePort Conclusion Summary Key Terms Discussion Questions Case Study 14.1 New Jersey Kills Hudson River
Tunnel Project Case Study 14.2 The Project That Wouldn’t Die Case Study 14.3 The Navy Scraps Development of Its
Showpiece Warship—Until the Next Bad Idea Internet Exercises PMP Certification Sample Questions Appendix 14.1 Sample Pages from Project Sign-off
Document Notes
Chapter Objectives After completing this chapter, you should be able to:
1. Distinguish among the four main forms of project termination. 2. Recognize the seven key steps in formal project closeout. 3. Understand key reasons for early termination of projects. 4. Know the challenges and components of a final project report.
Project MAnAgeMent Body of Knowledge core concePts covered in this chAPter
1. Close Project (PMBoK sec. 4.6) 2. Close Procurements (PMBoK sec. 12.4)
478 Chapter 14 • Project Closeout and Termination
Project Profile
Duke energy and its cancelled levy county Nuclear Power Plant
It was supposed to be another step on nuclear energy’s big comeback to respectability. Since the near-meltdown at Three Mile Island nuclear power plant in 1979, no new nuclear energy plants have been constructed in the United States. But with better technology and improved safety measures, combined with the decline in popularity of “dirty” fossil fuel power plants, proponents of nuclear energy have been lobbying for their industry to be given a second look. In Florida, there were other inducements to lure energy companies to begin nuclear power plant construction, including a controversial law passed in 2006 by the state legislature that allowed utility companies to bill customers in advance in order to defray the costs of the plant construction. Advance billing effectively took the cost risk out of the equation for building new energy plants and made nuclear power a more attractive option.
Progress Energy, which merged with Duke Energy to become the nation’s largest power utility, proposed a proj- ect for a new nuclear power plant to support the growth in Florida’s energy needs. In 2008, it hired two primary contractors to build two 1,100-megawatt nuclear units at a site in Levy County, about 90 miles northwest of Orlando. At the time, the project’s cost was estimated at $14 billion. The project was particularly urgent because of serious problems with its Crystal River nuclear plant, situated on the Gulf Coast west of Orlando. Crystal River, built in 1977, has been slated for closing after Progress Energy’s botched repair efforts left the plant crippled. In trying to save $15 million, Progress Energy unwisely attempted to self-manage a project in 2009 to replace old steam generators at the nuclear facility. The utility’s do-it-yourself approach led to concrete problems from the failed repair job and left the plant unable to safely produce power. The plant’s new owner, Duke Energy, decided it was more cost effective to sim- ply shut down the facility, rather than risk as much as $3.4 billion trying to fix it again.
Armed with the new state regulations that allowed Duke to bill customers to recover the costs of a plant they had not yet begun constructing, the company empowered its contractors to begin land acquisition, design and engi- neering, and the purchase of some equipment, such as generators. However, due to delays in licensing by the Nuclear Regulatory Commission and some recent second-guessing by state legislators about the desirability of putting taxpay- ers on the hook for plant construction, the project has experienced a series of delays. The two plants were originally planned for completion in 2016, but last year the utility announced that the still-empty site wouldn’t start produc- ing power until at least 2024 and would cost nearly $25 billion, almost double the original price tag. With a sliding
Figure 14.1 Nuclear Power Plant under construction
Source: George Hammerstein/Corbis
Introduction 479
construction schedule and ballooning costs, Duke Energy realized that the project in its current form was simply not viable and announced its cancellation. The utility has commenced discussions with its primary contractors about winding down the existing contract.
While perhaps not coming out of the cancelled project with its reputation fully intact, Duke Energy will never- theless avoid the kinds of crippling costs that have been associated with these projects in the past. In fact, as part of a wide-ranging agreement with the state Public Counsel’s Office, the utility avoids potentially embarrassing public hearings on the badly handled upgrade that crippled the now closed Crystal River nuclear plant and left customers facing a $1.7 billion bill. Duke has collected $819.5 million in Florida since 2009 for the Levy County project and work at a separate planned nuclear site, according to the Florida Public Service Commission (PSC). Under the settlement with the state, Duke can begin recovering an additional $200 million in costs from the work done to date on the Levy County site. Further, the settlement enables the utility to collect another $350 million in costs from Florida custom- ers over 20 years starting in 2017, guaranteeing Duke a minimum profit margin of 9.5 percent through 2018. As for Duke’s customers, the settlement puts a final cap on the financial bleeding from the Levy and Crystal River misad- ventures at up to $3.2 billion. The PSC will determine how and when customers will pay off that bill. All told, Duke Energy is poised to collect nearly $1.3 billion from Florida’s taxpayers for not building a nuclear power plant!
The decision by Duke Energy to cancel the project while still reaping a tidy profit margin has left several members of Florida’s legislature suspicious of their original motives and questioning whether they ever truly intended to build the plant in the first place. As state representative Mike Fasano said: “Shame on Duke Energy, Progress Energy for taking the public on this ride knowing that they were never going to build the nuclear plants. Shame on them.”
What does this mean for the re-emergence of nuclear power in the United States? Despite rosy expectations that the country would once again embrace nuclear energy, the reality has been much more disappointing. Within the last decade, more than two dozen nuclear reactors had been proposed across the country, but only two major projects are under construction: one in Georgia and another in South Carolina. Duke Energy has suspended plans for its proposed new reactors at its Shearon Harris plant in North Carolina and delayed plans for proposed reactors at its Lee Nuclear Plant in South Carolina.
The nuclear renaissance “was just this artificial gold rush,” said Peter Bradford, a former Nuclear Regulatory com- missioner. “And yes, it does show the renaissance is dead.”1
introduction
One of the unique characteristics of projects, as opposed to other ongoing organizational activities or processes, is that they are created with a finite life; in effect, when we are planning the project, we are also planning for its extinction. The project life cycle shown in Chapter 1 illustrates this phenomenon; the fourth and final stage of the project is defined as its termination. Project termi- nation consists of all activities consistent with closing out the project. It is a process that provides for acceptance of the project by the project’s sponsor, completion of various project records, final revision and issue of documentation to reflect its final condition, and the retention of essential project documentation.
In this chapter, we will explore the process of project termination and address the steps necessary to effectively conclude a project. Projects may be terminated for a variety of reasons. The best circumstance is the case where a project has been successfully completed and all proj- ect closeout activities are conducted to reflect a job well done. On the other hand, a project may conclude prematurely for any number of reasons. It may be canceled outright, as in the case of the Duke Energy nuclear power plant project (above) or the Navy’s Zumwalt destroyer (see Case Study 14.3). It may become irrelevant over time and be quietly shut down. It may become tech- nologically obsolete due to a significant breakthrough by the competition. It may fail through a lack of top management support, organizational changes, or strategic priority shifts. It may be terminated due to catastrophic failure.
In short, although the best alternative is to be able to approach project termination as the cul- mination of a task well done, in reality many projects end up being terminated short of realizing their goals. These two alternatives are sometimes referred to as natural termination, in which the project has achieved its goals and is moving toward its logical conclusion, and unnatural termina- tion, in which a shift in political, economic, customer, or technological conditions has rendered the project without purpose.2 In this chapter, we will explore both types of termination in detail as we examine the steps we need to take to effectively close out a project during termination.
480 Chapter 14 • Project Closeout and Termination
14.1 types oF project termination
Although “project closeout” might imply that we are referring to a project that has been successfully completed and requires a systematic closeout methodology, as stated previously, projects can be terminated for a variety of reasons. The four main reasons for project termina- tion are:3
1. termination by extinction. This process occurs when the project is stopped due to either a successful or an unsuccessful conclusion. In the successful case, the project has been transferred to its intended users and all final phase-out activities are conducted. Whether successful or not, however, during termination the project’s final budget is audited, team members receive new work assignments, and any material assets the project employed are dispersed or transferred according to company policies or contractual terms.
2. termination by addition. This approach concludes a project by institutionalizing it as a formal part of the parent organization. For example, suppose a new hardware design at Apple Computer has been so successful that the company, rather than disband the proj- ect team, turns the project organization into a new operating group. In effect, the project has been “promoted” to a formal, hierarchical status within the organization. The project has indeed been terminated, but its success has led to its addition to the organizational structure.
3. termination by integration. Integration represents a common, but exceedingly compli- cated, method for dealing with successful projects. The project’s resources, including the project team, are reintegrated within the organization’s existing structure following the conclusion of the project. In both matrix and project organizations, personnel released from project assignments are reabsorbed within their functional departments to perform other duties or simply wait for new project assignments. In many organizations, it is not uncom- mon to lose key organizational members at this point. They may have so relished the atmo- sphere and performance within the project team that the idea of reintegration within the old organization holds no appeal for them, and they leave the company for fresh proj- ect challenges. For example, the project manager who spearheaded the development and introduction of a geographic information system (GIS) for the city of Portland, Maine, left soon after the project was completed rather than accept a functional job serving as the sys- tem administrator. He found the challenge of managing the project much more to his liking than maintaining it.
4. termination by starvation. Termination by starvation can happen for a number of reasons. There may be political reasons for keeping a project officially “on the books,” even though the organization does not intend it to succeed or anticipate it will ever be finished. The project may have a powerful sponsor who must be placated with the maintenance of his “pet project.” Sometimes projects cannot be continued because of general budget cuts, but an organization may keep a number of them on file so that when the economic situation improves, the projects can be reactivated. Meredith and Mantel4 argue that termination by starvation is not an outright act of termination at all, but rather a willful form of neglect in which the project budget is slowly decreased to the point at which the project cannot pos- sibly remain viable.
Box 14.1
Project Managers in Practice
Mike Brown, Rolls-Royce Plc
Recently concluding a 40-year career in project management, Mike Brown (see Figure 14.2) can safely claim that he has seen and done pretty much everything when it comes to running projects. With a background that includes degrees in industrial chemistry and engineering construction project management, Brown has worked on major construction projects around the world. His resume, which makes for fascinating read- ing, includes (1) running pharmaceutical research and development projects, (2) building refineries and petrochemical plants, (3) spearheading power and infrastructure projects, and (4) managing a variety of
14.1 Types of Project Termination 481
aeronautical development programs. Among his largest projects were a $500 million liquid natural gas tank farm project and a $500 million power plant construction project in India. Brown has worked in a number of exotic locations, including Sri Lanka, India, Africa, and the Pacific Rim.
It was in his former job with Rolls-Royce Corporation, however, that Brown found the greatest opportu- nities to pass along the wealth of knowledge he has amassed. As Brown describes it:
My title was Head of the Center for Project Management, which is the Rolls-Royce Center of Excellence for Project Management. The Center is tasked with driving improvement in Project, Program, and Portfo- lio Management across the entire company under the sponsorship of the Project Management Council, which is the senior management group that owns project management in Rolls-Royce.
At a personal level I would coach, mentor, run seminars, and give presentations across the com- pany to individuals and groups of practitioners. Having developed the University of Manchester and Penn State Masters programs eight years ago, there are now some 350 UK Masters graduates and 200 in North America. This network is now able to support improvement activities alongside me and is becom- ing a powerful driver for change.
In addition to my internal role, I represented Rolls-Royce in terms of project management to the outside world. This included representing the company in various forums, as well as chairing the British Standards Committee responsible for the Project Management Standard.
When asked what kept him so committed to the project management profession until his recent retirement, Brown provided these reflections:
In my younger days it was the challenge of carrying on three conversations at the same time, solving problems, firefighting, and the general buzz of working with a great team, all driving towards the same goal. As I matured, it became clear to me that you solved problems on projects before you “started” them, through strategic thinking and actions in areas like requirements management, stakeholder man- agement, value management, and solid business case development. In addition there are not many “professions” in which you can touch, feel, or experience the fruits of your labor. In project manage- ment you can.
When asked about the most memorable experiences of his career, Brown replied:
Every project is unique and so, in many ways, every project has offered its own memorable experiences. One that stands out for me, however, was a construction project in India that involved the development of a fertilizer complex. For the heavy lifting, we used everything from standard cranes to my favorite piece of heavy equipment—an elephant! Someone (probably the site safety officer) had even painted a Safe Working Load number on the elephant’s back!
I guess one of the reasons that I relished the job is because it is a great developmental role for any- one in business. As a project manager you have all the responsibilities of a CEO. You deal with your own people, budgets, customers, and technical issues. You make critical decisions daily and you run your own operation. Really, with the exception of a company’s CEO, a project manager has the most autonomy and responsibility within the firm. But it also takes a kind of magic to make it work. You don’t have a lot of formal authority so you have to understand how to influence, lead your team, and gain respect—all based on your drive and setting a personal example.
Figure 14.2 Mike Brown of rolls-royce Plc.
482 Chapter 14 • Project Closeout and Termination
14.2 natural termination—the closeout process
When a project is moving toward its natural conclusion, a number of activities are necessary to close it out.5 Some of the activities we will examine, such as finishing the work, handing over the project, and gaining acceptance for the project, are intended to occur in a serial path, with one set of activities leading to the next. At the same time that these tasks are being done, however, other activities occur concurrently, such as completing documentation, archiving records, and disband- ing the team. Thus, the process of closing out a project is complex, involving multiple activities that must occur across a defined period. Let us consider these activities and the steps necessary to complete them in order.
Finishing the Work
As a project moves toward its conclusion, a number of tasks still need to be completed or pol- ished, such as a final debug on a software package. At the same time, people working on the project naturally tend to lose focus—to begin thinking of new project assignments or their pend- ing release from the team. The challenge for the project manager is to keep the team zeroed in on the final activities, particularly as the main elements of the project dramatically wind down. An orderly process for completing final assignments usually requires the use of a checklist as a control device.6 For example, in building a house, the contractor will walk through the almost completed house with the new owner, identifying a punch list of final tasks or modifications that are needed prior to project completion.
Completing the final project activities is often as much a motivational challenge as a technical or administrative process for the project manager. Checklists and other simple control devices pro- vide an important element of structure to the final tasks, reminding the project team that although the majority of the work has been finished, the project is not yet done. Using punch lists also dem- onstrates that even in the best projects, modifications or adjustments may be necessary before the project will be acceptable to the client.7
handing over the project
Transferring the project to its intended user can be either a straightforward or a highly complex process, depending on the contractual terms, the client (either in-house or external), environmen- tal conditions, and other mediating factors. The process itself usually involves a formal transfer of ownership of the project to the customer, including any terms and conditions for the transfer. This transfer may require careful planning and specific steps and processes. Transfer does not just involve shifting ownership; it also requires establishing training programs for users, transferring and sharing technical designs and features, making all drawings and engineering specifications available, and so on. Thus, depending on the complexity of the transfer process, the handing-over steps can require meticulous planning in their own right.
As a form of risk management in large industrial projects, it has become popular for customers such as foreign countries to refuse initial acceptance of a project until after a transition period in which the project contractor must first demonstrate the viability of the project. In the United Kingdom, these arrangements are often referred to as Private finance initiatives (Pfis) and are used to protect the excessive financial exposure of a contracting agency to a project being developed.8 For example, suppose your company has just built a large iron-ore smelting plant for Botswana at a cost to the country of $1.5 billion. Under these circumstances, Botswana, for which such an investment is very risky, would first require your firm to operate the plant for some period to ensure that all technical features check out. This is the Build, operate, and transfer (Bot) option for large projects, which is a method for allowing the eventual owner of the project to mitigate risk in the short run. A modification on this BOT alternative is the Build, own, operate, and transfer (Boot) option. Under a BOOT contract, the project contractor takes initial ownership of the plant for a specified period to limit the client’s financial exposure until all problems have been contractually resolved. The disadvantage to project organizations of BOT and BOOT contracts is that they require the contractor to take on high financial risk through operation or ownership of the project for some specified period. Hence, although they serve to protect the client, they expose the contractor to serious potential damages in the event of project failure.
14.2 Natural Termination—The Closeout Process 483
gaining acceptance for the project
A research study conducted on the critical success factors for projects found that client acceptance represents an important determination of whether the project is successful.9 “Client acceptance” represents the recognition that simply transferring the project to the customer is not sufficient to ensure the customer’s happiness with it, use of it, and recognition of its benefits. Many of us know, from our own experience, that gaining customer acceptance can be tricky and complex. Customers may be nervous about their capabilities or level of technical know-how. For example, in transferring IT projects to customers, it is common for them to experience initial confusion or miscomprehen- sion regarding features in the final product. Some customers will purposely withhold unconditional acceptance of a project because they fear that after granting it, they will lose the ability to ask for modifications or corrections for obvious errors. Finally, depending on how closely our project team has maintained communication ties with the customer during the project’s development, the final product may or may not be what the customer actually desires.
Because the process of gaining customer acceptance can be complicated, it is necessary to begin planning well in advance for both the transfer of the final product to the client and the cre- ation, if necessary, of a program to ease the client’s transition to ownership. In other words, when we start planning for the project’s development, we need to also start planning for the project’s transfer and use. The project team should begin by asking the hard questions, such as “What objec- tions could the client make to this project, when it is completed?” and “How can we remove the client’s concerns regarding the project’s commercial or technical value?”
harvesting the Benefits
Projects are initiated to solve problems, capitalize on opportunities, or serve some specific goal or set of goals. The benefits behind the completion of a project should be easy to determine; in fact, we could argue that projects are created for the purpose of attaining some benefit to their parent organizations. As a result, the idea of harvesting these benefits suggests that we be in a position to assess the value the project adds, either to an external customer or to our own firm, or both.
Benefits come in many forms and relate to the project being created. For example, in a con- struction project, the benefits may accrue as the result of public acclamation for the project on aesthetic or functional grounds. For a software project, benefits may include enhanced operating efficiency and, if designed for the commercial market, high profits and market share. The bottom line for harvesting the benefits suggests that the project organization should begin to realize a positive outcome from the completion of the project.
In practical terms, however, it may be difficult to accurately assess the benefits from a proj- ect, particularly in the short run. For instance, in a project that is created to install and modify an Enterprise Resource Planning (ERP) package, the benefits may be discovered over a period of time as the package allows the company to save money on the planning, acquisition, stor- age, and use of production materials for operations. The true benefits of the ERP system may not become apparent for several years, until all the bugs have been chased out of the software. Alternatively, a project that has been well run and is cost-effective may fail in the marketplace because of a competitor ’s unexpected technological leap forward that renders the project, no mat- ter how well done, obsolete. For example, manufacturers of external hard drives (data storage units) for computers, like Seagate, are facing serious competitive challenges due to the introduc- tion and increasing use of “cloud storage” systems, including Media Fire, Dropbox, and Google Drive. New advances or even well-run projects in the hard drive industry are at risk because the technology may simply be passing them by.
The key to begin harvesting the benefits of a project is to first develop an effective and mean- ingful measurement system that identifies the goals, time frame, and responsibilities involved in project use and value assessment.10All of these issues must be worked out in advance, either as part of the project scope statement or during project development.
reviewing how it all Went
Some basic principles must be followed when evaluating a project’s (and project team’s) perfor- mance. Postproject reviews strive to be as objective as possible, and in many organizations project reviews are conducted by using outsiders—members of the organization who were themselves
484 Chapter 14 • Project Closeout and Termination
not part of the project team. On one level, this makes sense; it is better to get the evaluation from a disinterested third party rather than allow team members to make their own assessments and risk useless self-rationalization or covering up poor practices. Four principles cover proper postproject reviews: objectivity, internal consistency, replicability, and fairness.11
1. Objectivity—This principle refers to the need for an unbiased, critical review of the project from the perspective of someone without an agenda or “axe to grind.” Although the idea of using an objective party is good in theory, there are some common problems with using out- siders to review a project’s performance, including:
a. Outside reviewers are unfamiliar with the circumstances the project team was dealing with while implementing the project. The evaluator may not understand the project’s technical challenges, specific instructions received from top management or clients, or problems encountered while working on the project. The “outside view” here does not allow for a knowledgeable perspective on the part of the reviewer and may unfairly influ- ence their response.
b. Project teams may be suspicious about who selected the reviewers and the instructions they may have received. The worst thing that can happen is for the project team members to assume that the reviewers have an agenda they are working from when reviewing a project. If the reviewer holds a particular ideological or political perspective, it will likely color their evaluation. For example, the Affordable Healthcare Act, commonly referred to as Obamacare, has been a political lightning rod for several years now. Were a Republican Congressman to serve as a program reviewer, the argument could reasonably be raised that his perspective is biased.
c. Outside evaluators may feel compelled to find problems. Human nature suggests that when individuals are assigned to serve as project reviewers, they will naturally dig for problems, with the potential for elevating minor issues into much larger problems than they really are. As one project management writer put it: Evaluators should be on the lookout for problems but they should “guard against behaving like traffic police who have a quota of tickets to issue each day.”12
d. Outside reviewers are not competent. It may be the case that the evaluator assigned to re- view the project is not technically or otherwise competent to make an accurate assessment.
2. Internal Consistency—A logical and well-constructed procedure must be established and followed when conducting reviews. All relevant steps in the review must be established in advance and the process duplicated across all projects in the organization to ensure that some reviewers are not using ad hoc practices and making up the rules as they go along. Standardization is key to internally consistent evaluations.
3. Replicability—A standardized review process should yield similar findings regardless of who conducts the evaluation. Replicability implies that the variation is removed from the process because the information collected does not depend upon the individual conducting the review.
4. Fairness—Members of the project team must perceive that the review was conducted fairly, without agendas, and intended to highlight both successes and failures. If they feel they are being unfairly criticized, it can influence their willingness to perform on future projects and instead encourage either disinterest or self-protection behavior (e.g., finding scapegoats for problems rather than fixing them).
One of the most important elements in the project closeout involves conducting an in-depth lessons learned analysis based on a realistic and critical review of the project—its high and low points, unan- ticipated difficulties, and elements that provide suggestions for future projects. Even among firms that conduct lessons learned reviews, a number of errors can occur at this stage, including:
• Misidentifying systematic errors. It is human nature to attribute failures or mistakes to external causes, rather than internal reasons. For example, “The client changed the specifi- cations” is easier to accept than the frank admission, “We didn’t do enough to determine the customer’s needs for the project.” Closely related to this error is the desire to perceive mistakes as one-time or nonrecurring events. Rather than looking at our project management systems to see if the mistakes could be the result of underlying problems with them, many of
14.2 Natural Termination—The Closeout Process 485
us prefer the easier solution of believing that these results were unpredictable, that they were a one-time occurrence and not likely to recur, and that therefore we could not have prepared for them and do not need to prepare for them in the future.
• Misapplying or misinterpreting appropriate lessons based on events. A related error of misinterpretation occurs when project team members or those reviewing the project wrong- fully perceive the source of an encountered problem. Sometimes the correct lessons from a terminated project are either ignored or altered to reflect a prevailing viewpoint. For example, a computer manufacturer became so convinced that the technology its team was developing was superior to the competition’s that the manager routinely ignored or mis- interpreted any counteropinions, both within her own company and during focus group sessions with potential customers. When the project failed in the marketplace, the common belief within the company was that marketing had failed to adequately support the product, regardless of the data that marketing had been presenting for months suggesting that the project was misguided.
• Failing to pass along lessons learned conclusions. Although it is true that an organization’s projects are characterized as discrete, one-time processes, they do retain enough areas of overlap, particularly within a single firm’s sphere, to make the application of lessons learned programs extremely useful. These lessons learned serve as a valuable form of organizational learning whereby novice project managers can access and learn from information provided by other project managers reporting on past projects. The success of a lessons learned pro- cess is highly dependent upon senior managers enforcing the archiving of critical historical information. Although all projects are, to a degree, unique, that uniqueness should never be an excuse to avoid passing along lessons learned to the rest of the organization. In the U.S. Army, for example, past project lessons learned are electronically filed and stored. All program managers are required to access these previous records based on the type of project they are managing and to develop a detailed response in advance that addresses likely prob- lems as the project moves forward.
To gain the maximum benefit from lessons learned meetings, project teams should follow three important guidelines:
1. Establish clear rules of behavior for all parties to the meeting. Everyone must understand that effective communication is the key to deriving lasting benefits from a lessons learned meeting. The atmosphere must be such that it promotes interaction, rather than stifling it.
2. Describe, as objectively as possible, what occurred. People commonly attempt to put a par- ticular “spin” on events, especially when actions might reflect badly on themselves. The goal of the lessons learned meeting is to recapitulate the series of events as objectively as possible, from as many viewpoints as possible, in order to reconstruct sequences of events, triggers for problems, places for miscommunication or misinterpretation, and so forth.
3. Fix the problem, not the blame. Lessons learned sessions work only when the focus is on problem solving, not on attaching blame for mistakes. Once the message is out that these ses- sions are ways for top management to find scapegoats for failed projects, they are valueless. On the other hand, when personnel discover that lessons learned meetings are opportunities for everyone to reflect on key events and ways to promote successful practices, defensiveness will evaporate in favor of meetings to resolve project problems.
putting it all to Bed
The conclusion of a project involves a tremendous amount of paperwork needed to document and record processes, close out resource accounts, and, when necessary, track contractual agree- ments and the completed legal terms and conditions. Some of the more important elements in this phase are:
1. Documentation. All pertinent records of the project must be archived in a central reposi- tory to make them easy for others to access. These records include all schedule and planning documents, all monitoring and control materials, any records of materials or other resource usage, customer change order requests, specification change approvals, and so forth.
2. Legal. All contractual documents must be recorded and archived. These include any terms and conditions, legal recourse, penalties, incentive clauses, and other legal records.
486 Chapter 14 • Project Closeout and Termination
3. Cost. All accounting records must be carefully closed out, including cost accounting records, lists of materials or other resources used, and any major purchases, rebates, or other budgetary items. All cost accounts related to the project must be closed at this time, and any unused funds or budget resources that are still in the project account must be reverted back to the general company budget.
4. Personnel. The costs and other charges for all project team personnel must be accounted for, their time charged against project accounts, and any company overhead in the form of benefits identified. Further, any nonemployees involved in the project, such as con- tractors or consultants, must be contractually released and these accounts paid off and closed.
Figure 14.5 in Appendix 14.1 shows some sample pages of a detailed project sign-off document. Among the important elements in the full document are a series of required reviews, including:
• General program and project management confidence—assessing the overall project specifi- cations, plans, resources, costs, and risk assessment
• Commercial confidence—determining that the “business case” driving the project is still valid • Market and sales confidence—based on pricing policies, sales forecasting, and customer
feedback • Product quality confidence—verifying all design reviews and relevant change requests • Manufacturing confidence—manufacturing quality, production capability, and production
confidence in creating the project • Supply chain logistics confidence—ensuring that the project supply chain, delivery perfor-
mance, and supplier quality are up to acceptable standards • Aftermarket confidence—analyzing issues of delivery, customer expectations, and project
support during the transfer stage • Health, safety, and environment confidence—verifying that all HS&E impacts have been
identified and documented
disbanding the team
The close of a project represents the ending of the project team’s relationship, originally founded on their shared duties to support the project. Disbanding the project team can be either a highly informal process (holding a final party) or one that is very structured (conducting detailed per- formance reviews and work evaluations for all team members). The formality of the disbanding process depends, to a great degree, on the size of the project, the authority granted the project manager, the organization’s commitment to the project, and other factors.
We noted in Chapter 2 that, in some project organizations, a certain degree of stress accom- panies the disbanding of the team, due to the uncertainty of many members about their future status with the firm. In most cases, however, project team members are simply transferred back to departmental or functional duties to await their appointment to future projects. Research clearly demonstrates that when team members have experienced positive “psychosocial” outcomes from the project, they are more inclined to work collaboratively in the future, have more positive feel- ings toward future projects, and enter them with greater enthusiasm.13 Thus, ending project team relationships should never be handled in an offhand or haphazard manner. True, these team mem- bers can no longer positively affect the just-completed project, but their accomplishments, depend- ing upon how they are celebrated, can be a strong force of positive motivation for future projects.
What prevents effective project closeouts?
The creation of a system for capturing the knowledge from completed projects is so important that it seems the need for such a practice would be obvious. Yet research suggests that many organizations do not engage in effective project closeouts, systematically gathering, storing, and making avail- able for future dissemination the lessons they have learned from projects.14 Why is project closeout handled haphazardly or ineffectively in many companies? Some of the common reasons are:
• Getting the project signed off discourages other closeout activities. Once the project is paid for or has been accepted by the client, the prevailing attitude seems to be that this sig- nals that no further action is necessary. Rather than addressing important issues, the final
14.3 Early Termination for Projects 487
“stamp of approval,” if applied too early, has the strong effect of discouraging any addi- tional actions on the project. Final activities drag on or get ignored in the hope that they are no longer necessary.
• The assumed urgency of all projects pressures us to take shortcuts on the back end. When a company runs multiple projects at the same time, its project management resources are often stretched to the hilt. An attitude sometimes emerges suggesting that it is impossible to delay the start of new projects simply to complete all closeout activities on ones that are essentially finished. In effect, these companies argue that they are too busy to adequately finish their projects.
• Closeout activities are given a low priority and are easily ignored. Sometimes, firms assign final closeout activities to people who were not part of the project team, such as junior managers or accountants with little actual knowledge of the project. Hence, their analysis is often cursory or based on a limited understanding of the project and its goals, problems, and solutions.
• Lessons learned analysis is viewed simply as a bookkeeping process. Many organizations require lessons learned analyses only to quickly file them away and forget they ever occurred. Organization members learn that these analyses are not intended for wider dissemination and, consequently, do not take them seriously, do not bother reading past reports, and do a poor job of preparing their own.
• People may assume that because all projects are unique, the actual carryover from project to project is minimal. This myth ignores the fact that although projects may be unique, they may have several common points. For example, if projects have the same client, employ similar technologies, enlist similar contractors or consultants, or employ similar personnel over an extended period, they may have many more commonalties than are acknowledged. Although it is true that each project is unique, that does not imply that all project manage- ment circumstances are equally unique and that knowledge cannot be transferred.
Developing a natural process for project closeout offers the project organization a number of advantages. First, it allows managers to create a database of lessons learned analyses that can be extremely beneficial for running future projects more effectively. Second, it provides a structure to the closeout that turns it from a slipshod process into a series of identifiable steps for more sys- tematic and complete project shutdown. Third, when handled correctly, project closeout can serve as an important source of information and motivation for project team members. They discover, through lessons learned analysis, both good and bad practices and how to anticipate problems in the future. Further, when the team is disbanded in the proper manner, the psychological benefits are likely to lead to greater motivation for future projects. Thus, systematic project closeout usually results in effective project closeout.
14.3 early termination For projects
Under what circumstances can a project organization reasonably conclude that a project is a can- didate for early termination? Although a variety of factors can influence this decision, Meredith identifies six categories of dynamic project factors and suggests that it is necessary to conduct periodic monitoring of these factors to determine if they have changed significantly.15 In the event that answer is “yes,” follow-up questions should seek to determine the magnitude of the shift as a basis for considering if the project should be continued or terminated. Table 14.1 shows these dynamic project factors and some of the subjects within them about which pertinent questions should be asked.
As shown in Table 14.1, static project factors, relating to the characteristics of the project itself and any significant changes it has undergone, are the first source of information about potential early termination. Factors associated with the task itself or with the composition of the project team are another important source of information about whether a project should be terminated. Other important cues include changes to project sponsorship, changes in economic conditions or the orga- nization’s operating environment that may negate the value of continuing to pursue the project, and user-initiated changes. For example, the client’s original need for a project may be obviated due to changes in the external environment, such as when Apple’s purchase of Beats Audio allowed it to cancel several of its own audio hardware and music streaming projects because the purchase sup- plied it with the technologies it had been pursuing.
488 Chapter 14 • Project Closeout and Termination
A great deal of research has been conducted on the decision to cancel projects in order to identify the key decision rules by which organizations determine that they no longer need to pursue a project opportunity. An analysis of 36 companies terminating R&D projects identified low probabilities of achieving technical or commercial success as the number one cause for terminating R&D projects.16 Other important factors in the termination decision included low probability of return on investment, low market potential, prohibitive costs for continuing with the project, and insurmountable technical problems. Other authors have highlighted additional critical factors that can influence the decision of whether to terminate projects, including (1) project management effectiveness, (2) top management support, (3) worker commitment, and (4) project leader championship of the project.17
One study has attempted to determine warning signs of possible early project termination that can be identified before a termination decision has, in fact, been made.18 The authors exam- ined 82 projects over four years. Their findings suggest that for projects that were eventually termi- nated, within the first six months of their existence, project team members already recognized these projects as having a low probability of achieving commercial objectives, as not being managed by
taBle 14.1 Project factors to review
1. Static factors a. Prior experience b. Company image c. Political forces d. High sunk costs e. Intermittent rewards f. Salvage and closing costs g. Benefits at end
2. task-team factors a. Difficulty achieving technical performance b. Difficulty solving technological/manufacturing problems c. Time to completion lengthening d. Missing project time or performance milestones e. Lowered team innovativeness f. Loss of team or project manager enthusiasm
3. Sponsorship factors a. Project less consistent with organizational goals b. Weaker linkage with other projects c. Lower impact on the company d. Less important to the firm e. Reduced problem or opportunity f. Less top management commitment to project g. Loss of project champion
4. economic factors a. Lower projected ROI, market share, or profit b. Higher cost to complete project c. Less capital availability d. Longer time to project returns e. Missing project cost milestones f. Reduced match of project financial scope to firm’s budget
5. environmental factors a. Better alternatives available b. Increased competition c. Less able to protect results d. Increased government restrictions
6. User factors a. Market need obviated b. Market factors changed c. Reduced market receptiveness d. Decreased number of end-use alternatives e. Reduced likelihood of successful commercialization f. Less chance of extended or continuing success
14.3 Early Termination for Projects 489
team members with sufficient decision authority, as being targeted for launch into relatively stable markets, and as being given low priority by the R&D top management. In spite of the fact that these projects were being managed effectively and given valuable sponsorship by top manage- ment, these factors allowed project team members to determine after very little time had been spent on the project that it was likely to fail or suffer from early termination by the organization.
making the early termination decision
When a project is being considered as a candidate for early termination, the decision to pull the plug is usually not clear-cut. There may be competing information sources, with some suggesting the proj- ect can succeed and others arguing that the project is no longer viable. Often the first challenge in project termination is sorting among these viewpoints to determine which views of the project are the most accurate and objective ones. Remember, typically a project’s viability is not a purely internal issue; that is, just because the project is being well developed does not mean that it should continue to be supported. A significant shift in external forces can render any project pointless long before it has been completed.19 For example, if the project’s technology has been superseded or market forces have made the project’s goals moot, the project should be shut down. Alternatively, a project that can fulfill a useful purpose in the marketplace may still be terminated if the project organization has begun to view its development as excessively long and costly. Another common internal reason for ending a project in midstream is the recognition that the project does not meet issues of strategic fit within the company’s portfolio of products. For example, a major strategic shift in product offerings within a firm can make several ongoing projects no longer viable because they do not meet new requirements for product development. In other words, projects may be terminated for either external reasons (e.g., changes in the operating environment) or internal reasons (e.g., projects that are no longer cost- effective or that do not fit with the company’s strategic direction).
Some important decision rules that are used in deciding whether to terminate an ongoing project include the following:20
1. When costs exceed business benefits. Many projects must first clear return on investment (ROI) hurdles as a criterion for their selection and start-up. Periodic analysis of the expected cost for the project versus the expected benefits may highlight the fact that the project is no longer financially viable. This may be due either to higher costs than anticipated in complet- ing the project or a lower market opportunity than the company had originally hoped for. If the net present value of an ongoing project dips seriously into financial losses, the decision to terminate the project may make sound business sense.
2. When the project no longer meets strategic fit criteria. Firms often reevaluate their stra- tegic product portfolios to determine whether the products they offer are complementary and their portfolio is balanced. When a new strategic vision is adopted, it is common to make significant changes to the product mix, eliminating product lines that do not fit the new goals. For example, EveryBlock was a “hyperlocal” news and data service acquired by MSNBC in 2009 in the hopes of using the neighborhood news model as a way of com- plementing its national online news programming. Ultimately, it was unable to make the neighborhood news model work due to the economics of the 24-hour news industry and the lack of perceived fit within the NBC product portfolio. The decision was made to shut down EveryBlock in 2013.21
3. When deadlines continue to be missed. Continually missed key milestones or deadlines are a signal that a project is in trouble. Even when there are some good reasons for initially missing these milestones, the cumulative effect of continuing to miss deadlines will, at a minimum, cause the project organization to analyze the causes of these lags. Are they due to poor project manage- ment, unrealistic initial goals, or simply the fact that the technology is not being developed fast enough? During President Reagan’s first term in office, the Strategic Defense Initiative (SDI) was started. More than 30 years later, many of the technical problems with creating a viable missile defense are still being addressed. Most experts readily admit that they do not have a good idea when the system will be sufficiently robust to be deployed with confidence.
4. When technology evolves beyond the project’s scope. In many industries, such as the IT arena, technological changes are rapid and often hugely significant. Thus, IT profession- als always face the challenge of completing projects while the technology is in flux. Their natural fear is that by the time the project is introduced, the technology will have advanced
490 Chapter 14 • Project Closeout and Termination
so far beyond where the project is that the project will no longer be useful. The basic chal- lenge for any IT project is trying to find a reasonable compromise between freezing the proj- ect’s scope and allowing for ongoing spec changes that reflect new technology. Obviously, at some point the scope must be frozen or the project could never be completed. On the other hand, freezing the scope too early may lead to a project that is already obsolete before it has been launched.
Project Profile
case—Aftermath of a “feeding frenzy”: Dubai and cancelled construction Projects
The past 20 years have seen an enormous level of construction activity in the wealthy UAE Emirate of Dubai. With a commitment to development, an educated and cosmopolitan workforce, and supportive tax laws, Dubai has long been an attractive center for business and leisure. To bring foreign dollars to the Emirate, Dubai invested hundreds of billions in skyscrapers, theme parks, shopping centers, and residential projects over the past 20 years and encouraged private investors to do the same. The frenzy of expansion came to a sudden halt following the Great Recession of 2009 and the subsequent loss of solvency in the banking industry. Loans used to finance prospective ventures were cancelled, fol- lowed by a worldwide glut of office space and the suspension of some of the more creative residential projects. Among the 217 cancelled projects in Dubai between 2010 and 2011 were a planned Tiger Woods–branded golf course and a kilometer-high skyscraper.
The aftermath of this sudden downturn lowered property values in Dubai by more than 50%, forcing developers to delay or cancel showcase projects and, in some cases, simply shut down and leave the Emirate without telling customers. Many individuals and companies bought into property deals, signed over large deposits, and have been unable to recoup their money or receive their property. With a portfolio of cancelled projects and a natural reluctance among developers to reinvest in the aftermath of the real estate bust, the government of Dubai was forced to offer some creative incentives to reinvigorate their construction market. Among the initiatives they created was a commission set up to liquidate scores of cancelled project projects and use the funds to repay investors who had been burned in the recession. The commission’s role is to investigate the finances of various investors, determine whether payments or property transfers were unlawfully withheld, and order restitution for cheated investors. Dubai is anxious to reclaim its good name as a safe haven for invest- ment and at the same time, encourage a new round of construction development.
Cancelled construction projects are a common phenomenon, especially during the banking crisis that precipi- tated the Great Recession. Both individual investors and companies took significant risks in making investments in the Emirate of Dubai only to see their money disappear or property values plummet. Unlike its oil-rich neighbor, Abu Dhabi, Dubai does not have a means to recoup losses through exploiting its natural resources and instead must support reinvestment through banking and commerce development. One creative option is issuing Islamic Bonds (“sukuk”) as a means to finance the next generation of development. Dubai’s response in guaranteeing the loans for many of these ventures has gone a long way to bringing stability back to the Emirate and encouraging a new round of investment. Dubai’s response to the cancellation of so many development projects has been to demonstrate that where one project fails, others may succeed, provided there are visionary leaders at the top.22
shutting down the project
Let us assume that following an analysis of a troubled project and its ongoing viability, the deci- sion has been reached to terminate it. The next steps involved in the termination process can be difficult and very complex. Particularly, there are likely to be a number of issues that must be resolved both prior to and following the project’s early termination. These termination decisions are sometimes divided into two classes: emotional and intellectual.23 Further, under each heading, additional concerns are listed. Figure 14.3 shows the framework that employs a modified Work Breakdown Structure to identify the key decisions in a project termination.
The decision to terminate a project will give rise to a variety of responses and new duties for the project manager and team (see Table 14.2). Pulling the plug on a project usually leads to seri- ous emotional responses from stakeholders. Within the project team itself, it is natural to expect a dramatic loss in motivation, loss of team identity, fear of no future work among team members, and a general weakening and diversion of their efforts. The project’s intended clients also begin disassociating themselves from the project, in effect, distancing themselves from the project team and the terminated project.
14.3 Early Termination for Projects 491
Identification of remaining
deliverables
Certification needs
Identification of outstanding
commitments
Control of charges to project
Screening of partially completed tasks
Closure of work orders and work
packages
Disposal of unused material
Agreement with client on remaining
deliverables
Communicating closure
Closing down facilities
Determination of requirements for audit
trail data
Agreement with suppliers on outstanding
commitments
Intellectual
Project Termination
Issues
Fear of no future work
Loss of interest in remaining tasks
Loss of project–derived motivation
Loss of team identity
Selection of personnel to be reassigned
Diversion of effort
Change in attitude
Loss of interest in project
Change in personnel dealing with project
Unavailability of key personnel
Emotional
Internal ExternalStaff Client
Figure 14.3 Work Breakdown for Project termination issues
taBle 14.2 concerns When Shutting Down a Project
emotional issues of the Project team
1. Fear of no future work—The concern that once the project is shut down, there is no avenue for future work for team members.
2. Loss of interest in remaining tasks—The perception that a terminated project requires no additional performance.
3. Loss of project-derived motivation—All motivation to perform well on the project or to create a successful project is lost.
4. Loss of team identity—The project is being disbanded; so is the team. 5. Selection of personnel to be reassigned—Team members already begin jockeying for reassignment to
better project alternatives. 6. Diversion of effort—With the project winding down, other jobs take greater priority.
emotional issues of the clients
1. Changes in attitude—Now that the project has been canceled or concluded, client attitude may become hostile or indifferent.
2. Loss of interest in the project—As the project team loses interest, so does the client. 3. Change in personnel dealing with the project—Many times, as they move their key people to new challeng-
es, clients will shift new people into the project who have no experience with it. 4. Unavailability of key personnel—Resources at the client organization with needed skills are no longer avail-
able or interested in contributing their input to the project that is being terminated.
intellectual issues—internal
1. Identification of the remaining deliverables—The project team must distinguish between what has been accomplished and what has not been completed.
2. Certification needs—It may be necessary to provide certification of compliance with environmental or regulatory standards as part of the project closeout.
3. Identification of outstanding commitments—The project team must identify any outstanding supply deliveries, milestones that will not be met, and so forth.
4. Control of charges to the project—By the closeout, a number of people and departments are aware of project account numbers. It is necessary to quickly close out these accounts to prevent other groups from hiding their expenses in the project.
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492 Chapter 14 • Project Closeout and Termination
Box 14.2
Project Management research in Brief
Project Termination in the IT Industry
In mid-2010, a lawsuit was settled between Waste Management and SAP Corporation. The original lawsuit arose from a failed implementation effort to install and make usable SAP’s Enterprise Resource Planning (ERP) software throughout Waste Management’s organization. Waste Management is a giant company that has been built through acquisition. As a result, legacy systems were everywhere, and many of them were outdated. In 2005, Waste Management was looking to overhaul its order-to-cash process—billing, collections, pricing, and customer setup. It was at this point that SAP stepped in, promising that its out-of- the-box ERP system would be capable of handling all Waste Management’s needs with minimal tweaking. It wasn’t. The trash-disposal conglomerate claimed it suffered significant damages, including more than $100 million, which is the amount it spent on the project (dubbed by Waste Management as “a complete and utter failure”) and more than $350 million for benefits it would have realized if the software had been successful.
As part of its complaint in the lawsuit, Waste Management argued that it wanted an ERP package that could meet its business requirements without large amounts of custom development, but instead, SAP used a “fake” product demonstration to trick Waste Management officials into believing its software fit the bill. Although SAP did not accept guilt in the case, Waste Management received “a one-time cash payment” in accordance with the settlement.
Some of the most difficult challenges faced in effectively running and completing projects are those presented in the information technology (IT) industry. Research investigating project management in IT has not
5. Screening of partially completed tasks—It is necessary to begin eliminating the work being done on final tasks, particularly when they no longer support the project’s development.
6. Closure of work orders and work packages—Formal authorization to cancel work orders and project work packages is necessary once ongoing tasks have been identified.
7. Disposal of unused material—Projects accumulate quantities of unused supplies and materials. A method must be developed for disposing of or transferring these materials to other locations.
intellectual issues—external
1. Agreement with the client on remaining deliverables—When a project is being canceled, the project organization and the client must jointly agree on what final deliverables will be supplied and when they will be scheduled.
2. Agreement with suppliers on outstanding commitments—Suppliers who are scheduled to continue delivering materials to the project must be contacted and contracts canceled.
3. Communicating closure—The project team must ensure that all relevant stakeholders are clearly aware of the project shutdown, including the date by which all activities will cease.
4. Closing down facilities—When necessary, a schedule for facilities shutdown is needed. 5. Determination of requirements for audit trail data—Different customers and stakeholders have different
requirements for record retention used in postproject audits. The project team needs to conduct an assess- ment of the records required from each stakeholder in order to close out the project.
taBle 14.2 continued
In addition to the expected emotional reactions to the termination decision, there are a number of administrative, or intellectual, matters to which the project team must attend. For example, internal to the project organization, closing down a project requires a detailed audit of all project deliverables, closure of work packages, disposal of unused equipment or materials, and so forth. In relation to the client, the termination decision requires closure of any agreements regarding deliverables, termination of outstanding contracts or commitments with suppliers, and the mothballing of facilities, if necessary. The important point is that a systematic process needs to be established for terminating a project, in terms of both the steps used to decide if the project should be terminated and, once the decision has been made, the manner in which the project can be shut down most efficiently.
14.3 Early Termination for Projects 493
allowing for claims and disputes
For some types of projects, the termination decision itself can initiate a host of legal issues with the client. The most common types of problems revolve around outstanding or unresolved claims that the customer or any project suppliers may hold against the project organization for early ter- mination. Although the legal ramifications of early termination decisions cannot be explored in great detail here, it is important to recognize that the termination of a project can itself generate a number of contractual disagreements and settlements. This potential for dealing with claims or disputes should be factored into the decision on terminating a project. For example, a company could discover that because of severe penalties for nondelivery, it actually would be less expensive to complete a failing project than to shut it down.
Two common types of claims that can arise in the event of project closure are:
1. Ex-gratia claims. These are claims that a client can make when there is no contractual basis for the claim but when the client thinks the project organization has a moral or commer- cial obligation to compensate it for some unexpected event (such as premature termination). Suppose, for example, that a client was promoting a new line of products that was to use a technology the project organization had been contracted to develop. Should the project firm cancel the project, the client might decide to make an ex-gratia claim based on its charge that it had planned its new product line around this advanced technology.
2. Default claims by the project company in its obligations under the contract. When con- tractual claims are defaulted due to the failure of a project to be completed and delivered, the client firm may have some legal claim to cost recovery or punitive damages. For example, liquidated damages claims may be incurred when a contractor awards a project to a supplier and uses financial penalties as an inducement for on-time delivery of the project. In the event of noncompliance or early project termination, the client can invoke the liquidated damages clause to recoup its financial investment at the expense of the project organization.
In addition to claims from interested stakeholders, the project organization also may face legal disputes over contractual terms, prepurchased materials or supplies, long-term agreements with suppliers or customers, and so forth.
been reassuring. The Standish Group of Dennis, Massachusetts, conducted a lengthy and thorough study of IT projects and determined that:
• 18% of IT application development projects are canceled before completion. • 43% of the remaining projects face significant cost and/or schedule overruns or changes in scope. • IT projects failures cost U.S. companies and governmental agencies an estimated $1.2 trillion each year,
with California the leading waster of IT projects funds at 164 billion annually.
Worldwide, estimates for cancelled IT projects range as high as $3 trillion, or 4.7% of the total GDP on the planet, more than the entire economic output of Germany.24
Given all the examples of projects at risk, what are some of the warning signs that signal a project may become a candidate for cancellation? The 10 signs of pending IT project failure are:
1. Project managers do not understand users’ needs. 2. Scope is ill defined. 3. Project changes are poorly managed. 4. Chosen technology changes. 5. Business needs change. 6. Deadlines are unrealistic. 7. Users are resistant. 8. Sponsorship is lost. 9. Project lacks people with appropriate skills.
10. Best practices and lessons learned are ignored.
In order to avoid the inevitability of project failure, it is critical to recognize the warning signs, including the inability to hit benchmark goals, the piling up of unresolved problems, communication breakdowns among the key project stakeholders, and escalating costs. Such red flags are sure signals that an IT project may be a candidate for termination.25
494 Chapter 14 • Project Closeout and Termination
Project organizations can protect themselves from problems with claims during project ter- mination by the following means:26
• Consider the possible areas of claims at the start of the contract and plan accordingly. Do not wait until they happen.
• Make sure that the project stakeholders know their particular areas of risk under the contract to help prevent baseless claims after the fact.
• Keep accurate and up-to-date records from the start of the contract. A good factual diary can help answer questions if the project develops fatal flaws downstream.
• Keep clear details of customer change requests or other departures from the original con- tracted terms.
• Ensure that all correspondence between you and clients is retained and archived.
When disputes are encountered, they are typically handled through legal recourse, often in the form of arbitration.
Arbitration refers to the formalized system for dealing with grievances and administering cor- rective justice to parties in a bargaining situation. It is used to obtain a fair settlement or resolution of disputes through an impartial third party. For projects, arbitration may be used as a legal recourse if parties who disagree on the nature of contractual terms and conditions require a third party, usually a court-appointed arbitrator, to facilitate the settlement of disputed terms. Provided that all parties agree to the use of arbitration, it can serve as a binding settlement to all outstanding claims or dis- putes arising from a contract that was not adequately completed. Alternatively, the parties may opt for nonbinding arbitration, in which the judge can offer suggestions or avenues for settlement but cannot enforce these opinions. Although arbitration has the advantage of being faster than pursuing claims through standard litigation, in practice, it is risky: The judge or arbitrator can side with the other party in the dispute and make a decision that is potentially very expensive to the project organization; and when nonbinding, arbitration can be considered “advisory.” If the parties wish to adopt the award as their settlement, they may do so. On the other hand, if they decide against adopting the award, they may be forced to repeat the entire process at a subsequent administrative hearing, court trial, or bind- ing arbitration. Any of these choices can lengthen the dispute even further.27
Not all claims against a project are baseless. Many times the decision to terminate a proj- ect will be made with the understanding that it is going to open the company to litigation or claims from external parties, such as the client firm. In these cases, the termination decision must be carefully weighed before being enacted. If a project is failing and termination is the only realistic option, the resulting claims the company is likely to face must be factored into the decision process and then addressed in full after the fact.
14.4 preparing the Final project report
The final project report is the administrative record of the completed project, identifying all its func- tional and technical components, as well as other important project history. A final project report is valuable to the organization precisely to the degree that the project team and key organizational members take the time to conduct it in a systematic fashion, identify all relevant areas of concern, and enact processes to ensure that relevant lessons have been identified, learned, and passed on. The important point to remember is that a final project report is more than a simple recitation of the history of the project; it is also an evaluative document that highlights both the strengths and weaknesses of the project’s development. As such, the final project report should offer a candid assessment of what went right and what went wrong for the project over its life cycle.
The elements of the final project report include an evaluation of a number of project and organizational factors, including:28
1. Project performance. The project performance should involve a candid assessment of the project’s achievements relative to its plan. How did the project fare in terms of standard met- rics such as baseline schedule and budget? Did the project achieve the technical goals that it set out to accomplish? How did the project perform in terms of stakeholder satisfaction, par- ticularly customer satisfaction? Are there any hard data to support the assessments? The final project report is an evaluative document that should offer candid criticisms, where appro- priate, of the project’s performance and, if performance was deemed substandard, the most
14.4 Preparing the Final Project Report 495
likely causes of that performance and recommended remedial steps to ensure that similar results do not occur in the future.
2. Administrative performance. The project’s administrative performance evaluation refers to the evaluation of any standard administrative practices that occur within the organization, and their benefits or drawbacks in developing the just-completed project. For example, in one organization, it was found that all project change order requests had to be endorsed by five layers of management before they could be addressed, leading to a long lag between the time a customer asked for a change and when the decision was made to either accept or reject the change request. The result of this analysis led to a streamlined change order process that made the organization much faster at responding to clients’ change order requests.
3. Organizational structure. The final report should offer some comments on how the orga- nization’s operating structure either helped or hindered the project team and their efforts. It may be found, for example, that the standard functional structure is a continual problem when trying to respond quickly to opportunities in the marketplace or that it represents a problem in communicating between groups involved in the project. Although it is unlikely that one bad project experience will trigger an immediate demand to change the company’s structure, repeated project failures that point squarely to problems with the organizational structure can eventually create the impetus to make changes that will better align the struc- ture with project activities.
4. Team performance. The final report should also reflect on the effectiveness of the project team, not only in terms of their actual performance on the project, but also with regard to team-building and staffing policies, training or coaching, and performance evaluations for all project team members. In short, the team performance assessment should address the effi- cacy of the company’s staffing of its project teams (“Did we find the best people within the organization to serve on the project?”), its team-building and training activities (“How are we ensuring that team members are adequately trained?” “If team members need training, do we have programs to provide it?”), and postproject evaluation policies (“Does the project manager have the ability to evaluate the performance of project team members?” “Does the project manager’s evaluation carry weight in the subordinate’s annual review?”).
5. Techniques of project management. In the final report, it is useful to consider the methods used by the organization for estimating activity duration and cost, as well as any scheduling processes or techniques used. It may be found, for example, that the organization consistently underestimates the duration time necessary to complete tasks or underestimates the resource costs associated with these tasks. This information can be extremely helpful for future project estimation. Further, other techniques that are used for project management (e.g., scheduling software, rules and procedures, etc.) should be critically reviewed in order to suggest ways to improve the process for future projects.
6. Benefits to the organization and the customer. All projects are guided by a goal or series of discrete goals that have, as their bottom line, the assumption of providing benefits to the sponsoring organization and the project’s clients. A final analysis in the final project report should consider the degree to which the project has succeeded in accomplishing its goals and providing the anticipated benefits. One important proviso, however: Remember that in some cases, the benefits that are anticipated from a completed project may not occur immediately, but over time. For example, if our goal in constructing a housing development is to return a high profit to our company, it may be necessary to wait several months or even years, until all lots and houses have been sold, before evaluating whether the goal has been achieved. Thus, we have to always try to maintain a balance between assessments of immediate benefits and those that may accrue over time.
The goal in requiring a final project report is to lay the groundwork for successful future projects. Although the final report is used to reflect on what went right and what went wrong with the current project, it is fundamentally a forward-looking document used to improve organizational processes in order to make future projects more effective, project activities more productive, and project personnel more knowledgeable.
Learning organizations are keen to apply the important lessons learned from experience. As one senior project manager has explained, “It is the difference between a manager with 10 years’ experience, and one with one year ’s experience 10 times!” The more we can apply the
496 Chapter 14 • Project Closeout and Termination
important lessons from past projects through activities such as final reports, the greater the like- lihood that our project managers will evolve into knowledgeable professionals, as opposed to simply repeating the same mistakes over and over—the classic definition of a manager with “one year ’s experience 10 times.”
conclusion
“The termination of a project is a project.”29 This statement suggests that the degree to which a project team makes a systematic and planned effort to close out a project affects whether the termination will be done efficiently and with minimal wasted effort or loss of time. In the case of projects that are naturally terminated through being completed, the steps in termination can be thought out in advance and pursued in an orderly manner. On the other hand, in circumstances where the project suffers early termination, the closeout process may be shorter and more ad hoc, that is, it may be done in a less-than-systematic manner.
This chapter has highlighted the processes of both natural and unnatural project termina- tions. One of the greatest challenges facing project teams during termination is maintaining the energy and motivation to make the final “kick to the finish line.” It is natural to start looking around for the next project challenge once a project is moving toward its inevitable conclusion. Our challenge as project managers is, first, to recognize that it is natural for team members to lose their enthusiasm and, second, to plan the steps needed to close out the project in the most effective way. When the project’s termination is treated as a project, it signals that we are intent on having our projects end not with a negative whimper, but with a positive bang.
Summary
1. distinguish among the four main forms of project termination. We identified four ways in which projects get terminated; they are termination by (a) extinction, (b) addition, (c) integration, and (d) starvation. Termination by extinction refers to projects in which all activity ends without extend- ing the project in any way, usually as the result of a successful completion or decision to end the proj- ect early. Termination by addition implies bring- ing the project into the organization as a separate, ongoing entity. Termination by integration is the process of bringing the project activities into the organization and distributing them among exist- ing functions. Finally, termination by starvation involves cutting a project’s budget sufficiently to stop progress without actually killing the project.
2. recognize the seven key steps in formal project closeout. The seven steps of the formal project closeout are: • Finishing the work • Handing over the project • Gaining acceptance for the project • Harvesting the benefits • Reviewing how it all went • Putting it all to bed • Disbanding the team
3. Understand key reasons for early termination of projects. A project may become a candidate for early termination for a number of reasons, including
the recognition of significant changes in the follow- ing critical factors: (a) static factors, (b) task-team fac- tors, (c) sponsorship, (d) economics, (e) environment, and (f) user requirements. Research has determined a number of early warning signs of pending problems with projects that can signal fatal errors or irrecover- able problems. This chapter also examined some of the decision rules that allow us to make reasonable choices about whether to cancel an ongoing project. Specifically, we may choose to terminate ongoing projects when: • Costs exceed business benefits. • The project no longer meets strategic fit criteria. • Deadlines continue to be missed. • Technology evolves beyond the project’s scope.
4. Know the challenges and components of a final project report. The components of the final proj- ect report include evaluations of project perfor- mance, administrative performance, organizational structure, team performance, techniques of proj- ect management, and benefits of the project to the organization and the customer. Two challenges are involved in developing effective final reports: first, being willing to take a candid and honest look at how the project progressed, highlighting both its strengths and weaknesses; and second, developing reports in such a manner that they contain a com- bination of descriptive analysis and prescriptive material for future projects. The goal in requiring
Case Study 14.1 497
a final project report is to lay the groundwork for successful future projects. Although the final report is used to reflect on what went right and wrong with the current project, it is fundamentally a
forward-looking document used to improve organi- zational processes in order to make future projects more effective, project activities more productive, and project personnel more knowledgeable.
Key Terms
Arbitration (p. 494) Build, Operate, and
Transfer (BOT) (p. 482) Build, Own, Operate, and
Transfer (BOOT) (p. 482) Default claims (p. 493) Disputes (p. 493)
Early termination (p. 487)
Ex-gratia claims (p. 493)
Lessons learned (p. 484) Natural termination
(p. 479)
Private Finance Initiatives (PFIs) (p. 482)
Project termination (p. 479) Termination by addition
(p. 480) Termination by extinction
(p. 480)
Termination by integration (p. 480)
Termination by starvation (p. 480)
Unnatural termination (p. 479)
Discussion Questions
14.1 Why is the decision to terminate a project often as much an emotional one as an intellectual one?
14.2 Comment on the different methods for project termi- nation. How have you seen an example of one of these methods, through either your school or work experience?
14.3 Why do so many projects end up terminated as a re- sult of termination through starvation? Discuss the role of ego, power, and politics in this form of project termination.
14.4 Refer back to Chapter 2. How does the concept of escala- tion of commitment factor into decisions of whether to terminate projects?
14.5 Consider the case of the Navy’s Zumwalt-class destroyer in Case Study 14.3. Take the position that terminating this project after having invested so much in research and development represented a good or bad decision by the Navy. Argue your case.
14.6 Of the seven elements in project closeout management, which do you view as being most important? Why?
14.7 What are four principles of effective postproject reviews?
14.8 What are some of the reasons why objective project eval- uation may be difficult to achieve?
14.9 Why do lessons learned programs often fail to capture meaningful information that could help guide future projects?
14.10 Comment on the following statement: “In deciding on whether or not to kill a project, it is critical to continu- ally monitor the environment for signs it may no longer be viable.”
14.11 Refer to the Project Management Research in Brief box in this chapter. In your opinion, why is it so difficult to bring IT projects to successful completion? In other words, identify some reasons why the cancellation rate for IT projects is 40%.
14.12 Imagine you are a team member on a project that has missed deadlines, has not produced the hoped-for tech- nological results, and has been a source of problems be- tween your team and the customer. You have just been informed that the project is being canceled. In what ways is this good news? How would you view it as bad news?
CaSe STuDy 14.1 New Jersey Kills Hudson River Tunnel Project
When dignitaries broke ground on the Access to the Region’s Core (ARC) project in northern New Jersey in 2009, it was supposed to be a celebration to signal the start of a bright new future. Creating a commuter rail tunnel under the Hudson River was not a particularly new or difficult idea, but it was viewed as a critical need. The project was first proposed in 1995, and every New Jersey governor after that time had publicly sup- ported the need for the tunnel. The reasons were com- pelling: The entire commuter rail system connecting
New York and New Jersey was supported by only one congested 100-year-old, two-track railroad tunnel into an overcrowded Penn Station in midtown Manhattan; both tracks had reached capacity and could no longer accommodate growth. Passengers were making more than 500,000 trips through Penn Station every day, with station congestion and overcrowding the norm. The project was especially critical for New Jersey resi- dents because their commuter ridership to New York had more than quadrupled in the past 20 years from
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498 Chapter 14 • Project Closeout and Termination
10 million annual trips to more than 46 million annual passenger trips. In the peak hours, the New Jersey Transit Authority operated 20 of the 23 trains heading into or out of New York. Building the ARC would dou- ble the number of New Jersey Transit commuter trains, from 45 to about 90, that could come into Manhattan every morning at rush hour.
In the face of such congestion and perceived need, the ARC project was conceived to include the following elements:
• Two new tracks under the Hudson River and the New Jersey Palisades
• A new six-track passenger station, to be known as “New York Pennsylvania Station Extension” (NYPSE) under 34th Street, with passenger con- nection to Penn Station
• A new rail loop near the Lautenberg Secaucus Junction station to allow two northern New Jersey line trains access to New York City
• A midday rail storage yard in Kearny, New Jersey Proponents also argued the environmental advantages of the project, noting that the ARC project would elim- inate 30,000 daily personal automobile trips, taking 22,000 cars off the roads and resulting in 600,000 fewer daily vehicle miles traveled. The project was expected to thus reduce greenhouse gas emissions by nearly 66,000 tons each year.
The ARC project was anticipated to take eight years to complete, coming into service in 2017. The cost of the project was significant, as the Federal Transit Administration (FTA) reported the project cost as $8.7 billion in their Annual Report. In order to share
the burden of the project costs, the funding as origi- nally proposed included the following sources:
• Federal government: $4.5 billion • Port Authority of New York and New Jersey:
$3.0 billion • New Jersey Turnpike Authority: $1.25 billion
A final important feature of the funding plan lim- ited the exposure of the federal government for any project overruns, meaning that the government was locked into its original commitment amount only. Any cost overruns or project slippages would have to be covered exclusively by the state of New Jersey.
The contracts for various parts of the project began to be awarded following competitive bidding in June 2009, and the first tunneling contract was awarded in May 2010. Within little more than three months, rumbles began being heard from the New Jersey governor’s office on the viability of the proj- ect. Governor Chris Christie ran and was elected on the promise of reining in what many viewed as out- of-control spending by the state’s legislature, coupled with some of the highest property and business taxes in the country. As a self-described “budget hawk,” Christie was increasingly troubled by rumors of cost overruns in the ARC project. Worse, all projections for completion of the project pointed to a much higher final price tag than the original $8.7 billion estimate.
In early September 2010, Governor Christie ordered a temporary halt in awarding new contracts for the project until his office had a chance to study project cost projections more thoroughly. This issue was highlighted when U.S. Transportation Secretary
Figure 14.4 Artist’s rendition of Underground train Platform at Penn Station for Arc Project
Source: Star-Ledger
Case Study 14.2 499
CaSe STuDy 14.2 The Project That Wouldn’t Die
Ben walked into his boss’s office Tuesday morning in a foul mood. Without wasting any time on pleasantries, he confronted Alice. “How on earth did I get roped into working on the Regency Project?” he asked, hold- ing the memo that announced his immediate transfer. Alice had been expecting such a reaction and sat back a moment to collect her thoughts on how to proceed.
The Regency Project was a minor legend around the office. Begun as an internal audit of business prac- tices 20 months earlier, the project never seemed to get anything accomplished, was not taken seriously within the company, and had yet to make one concrete pro- posal for improving working practices. In fact, as far as Ben and many other members of the company were concerned, it appeared to be a complete waste of time. And now here Ben was, assigned to join the project!
Ben continued, “Alice, you know this assign- ment is misusing my abilities. Nothing has come from Regency; in fact, I’d love to know how top man- agement, who are usually so cost conscious, have allowed this project to continue. I mean, the thing just won’t die!”
Alice laughed. “Ben, the answer to your question can be easily found. Have you bothered taking a look at any of the early work coming out of Regency during its first three months?” When Ben shook his head, she continued, “The early Statement of Work and other scope development was overseen by Harry Shapiro. He was the original project manager for Regency.”
All of a sudden, light dawned on Ben. “Harry Shapiro? You mean Vice President Harry Shapiro?”
“That’s right. Harry was promoted to the VP job just over a year ago. Prior to that, he was responsible for getting Regency off the ground. Think about it—do you really expect Harry to kill his brainchild? Useless or not, Regency will be around longer than any of us.”
Ben groaned, “Great, so I’m getting roped into serving on Harry’s pet project! What am I supposed to do?”
Alice offered him a sympathetic look. “Look, my best advice is to go into it with good intentions and try to do your best. I’ve seen the budget for Regency, and top management has been trimming their support for it. That means they must recognize
(continued)
Ray LaHood, though a supporter of the tunnel, pub- licly admitted that federal estimates showed the proj- ect could go between $1 billion and $4 billion over budget. Christie suspected that even those estimates might be low, putting his state on the hook for a potentially huge new debt, at a time when the econ- omy was sour and the state was already desperately seeking means to trim runaway spending. As addi- tional evidence of highly suspect initial cost estimates, Christie’s supporters pointed to the recently com- pleted “Big Dig” project in Boston, which started with an initial price tag of $2.5 billion and ultimately ended up costing well over $14 billion to complete.
Governor Christie first canceled the contract on October 7, 2010, citing cost overruns for which he said the state had no way to pay. The following day, he agreed to temporarily suspend his cancellation order so that he could try to resolve the funding dilemma with federal transportation officials and other project stakeholders. After a two-week period to analyze all their options, the governor made the cancellation offi- cial. Christie said that given the impact of the reces- sion and the probability of continuing cost overruns,
the state could no longer afford the tunnel’s escalating costs. More than a half-billion dollars had already been spent on construction, engineering, and land acquisi- tion for a project that was budgeted at $8.7 billion, but which the governor said could go as high as $14 bil- lion. “The only prudent move is to end this project,” Governor Christie said at a Trenton news conference. “I can’t put taxpayers on a never-ending hook.”30
Questions
1. How would you respond to the argument that it is impossible to judge how successful a project like this one would have been unless you actu- ally do it?
2. Take a position, either pro or con, on Christie’s decision to kill the ARC. Develop arguments to support your point of view.
3. In your opinion, how clearly must a large infra- structure project like ARC have determined its need, costs, and so forth before being approved? If the criteria are too stringent, what is the impli- cation for future projects of this type? Would any ever be built?
500 Chapter 14 • Project Closeout and Termination
the project isn’t going well. They just don’t want to kill it outright.”
“Remember,” Alice continued, “the project may not die because Harry’s so committed to it, but that also means it has high visibility for him. Do a good job and you may get noticed. Then your next assignment is bound to be better.” Alice laughed. “Heck, it can’t be much worse!”
Questions
1. What termination method does it appear the company is using with the Regency Project?
2. What are the problems with motivation when project team members perceive that a project is earmarked for termination?
3. Why would you suspect Harry Shapiro has a role in keeping the project alive?
CaSe STuDy 14.3 The Navy Scraps Development of Its Showpiece Warship—Until the Next Bad Idea
In midsummer 2008, the U.S. Navy announced its decision to cancel the DDG 1000 Zumwalt destroyer, after the first two were completed at shipyards in Maine and Mississippi. This decision, originally stated as due to the ship’s high construction cost, points to a highly controversial and, it could be argued, poor scope management process since the beginning.
The Zumwalt class of destroyers was conceived for a unique role. They were to operate close offshore (in what is referred to as the littoral environment) and provide close-in bombardment support against enemy targets, using their 155-millimeter guns and cruise missiles. With a displacement of 14,500 tons and a length of 600 feet, the ships have a crew of only 142 people due to advanced automated systems used throughout. Additional features of the Zumwalt class include advanced “dual-band” radar systems for accu- rate targeting and fire support, as well as threat iden- tification and tracking. The sonar is also considered superior for tracking submarines in shallow, coastal waterways. However, the most noticeable characteris- tic of the Zumwalt class was the decision to employ “stealth” technology in its design, in order to make the destroyer difficult for enemy radar to track. This technology included the use of composite, “radar- absorbing” materials and a unique, wave-piercing hull design. Thus, the Zumwalt, in development since the late 1990s, was poised to become the newest and most impressive addition to the Navy’s fleet.
Unfortunately, the ship was hampered from the beginning by several fundamental flaws. First, its price tag, which was originally expected to be nearly $2.5 billion per vessel, ballooned to an estimated $5 billion for each ship. In contrast, the Navy’s current state- of-the-art Arleigh Burke class of destroyers cost $1.3 billion per ship. Cost overruns became so great that the original 32 ships of the Zumwalt class the Navy intended to build were first reduced to 12 and then
to seven. Finally, after another congressional review, the third destroyer in the class, to be built at Maine’s Bath Iron Works, was funded with the proviso that this would be the last built, effectively killing the program after three destroyers were completed. The first ship of the class was christened in April 2014 at the Bath Iron Works shipyard and is expected to be delivered to the Navy in September.
In addition to the high cost, of significantly more concern were the design and conceptual flaws in the Zumwalt destroyers, a topic the Navy has been keen to avoid until recently. For example, the ship is not fit- ted with an effective antiship missile system. In other words, the Zumwalt cannot defend itself against bal- listic antiship missiles. Considering that the mission of the Zumwalt is close-in support and shore bombard- ment, the inability to effectively defend itself against antiship missiles is a critical flaw. Critics have con- tended that the Navy knew all along that the Zumwalt could not employ a reasonable antiship missile defense. The Navy argues that the ship can carry such missiles of its own but acknowledges that it cannot guide those missiles toward a target. This raises the question: If these ships need nonstealth vessels around them for protection against incoming threats, what is the point of creating a stealth ship in the first place?
Another problem has emerged from a closer examination of the role the Navy envisioned for the Zumwalt. If its main purpose was truly to serve as an offshore bombardment platform, why use it at all? Couldn’t carrier-based aircraft hit these targets just as easily? How about GPS-guided cruise missiles? The then-deputy chief of naval operations, Vice Admiral Barry McCullough, conceded this critical point in acknowledging, “With the accelerated advancement of precision munitions and targeting, excess fire capacity already exists from tactical aviation.” In other words, why take the chance of exposing nearly defenseless
Internet Exercises 501
ships near enemy shorelines to destroy the same tar- gets that air power can eliminate at much lower risk?
In short, despite initially protesting that the Zumwalt was a crucial new weapon platform to support the Navy’s role, critics and the Navy’s own analysis have confirmed that the DDG 1000 destroyer class represents an investment in risky technology based on a questionable need. It is too expensive, cannot adequately defend itself, and is intended to do a job for which other options are bet- ter suited. The cancellation of the Zumwalt destroyer project was ultimately the correct decision, albeit a tardy one, in that it has cost the American taxpayers an estimated $13 billion in R&D and budget funding to build three ships that are likely to have no imme- diate or useful role in the near future.
Sadly, it is debatable whether the Navy truly learned the hard lessons of the Zumwalt destroyer development, as its newest generation of ship, the Littoral Combat Ship (LCS), is currently being sub- jected to the same kind of scrutiny and criticism that characterized the long controversy of the Zumwalt. For example, with initial cost overruns corrected, the LCS class is estimated to cost $400 million per ship, which is a substantial savings over the DDG- 1000. However, critics charge that, as with the Zumwalt destroyer, the Navy continues to cram too much cutting-edge and unproven technology into the ships, without a clear sense of the mission they were designed to undertake. Small and fragile, crit- ics have contended that even the Navy’s own assess- ment admits that placing these craft in harm’s way will invite severe problems, with one report conclud- ing, “LCS is not expected to be survivable in a hos- tile combat environment . . . .” Finally, the decision to continue making hull and weapon modifications to
the ship, even as the first of the class are in produc- tion, leads to concern about the stability of the pro- gram. Will the missions the latter ships are capable of performing even resemble the role designed for them today? Although the Navy envisioned building 52 of the craft, current plans are to limit production to 32, with senior Congressmen demanding that no more than 24 ever be produced. Over budget, with a too- complicated design and uncertain mission capabili- ties—it appears that the LCS is taking the place of the Zumwalt, with the Navy still relearning its lessons.31
Questions
1. The U.S. Department of Defense has a long his- tory of sponsoring projects that have questionable usefulness. If you were assigned as a member of a project review team for a defense project, what cri- teria would you insist such a project has in order to be supported? In other words, what are the bare essentials needed to support such a project?
2. Why, in your opinion, is there such a long his- tory of defense projects overshooting their bud- gets or failing some critical performance metrics? (Consider other project cases in this text, includ- ing the Expeditionary Fighting Vehicle discussed in Chapter 5.)
3. “The mystery is not that the Zumwalt was can- celed. The mystery is why it took so long for it to be canceled.” Do you agree with this assessment? Why or why not?
4. Google “criticisms of the Littoral Combat Ship” and identify some of the problems that critics have listed. In light of these problems, why do you think the Navy has pressed ahead with the development of the LCS?
Internet exercises 14.1 Search the Internet for links to the Boston Tunnel, “The Big
Dig”; the Channel Tunnel, “The Chunnel”; and London’s Millennium Dome. Why do you think these projects were supported to their conclusion in spite of their poor cost performance? What would it take to kill a high-visibility project such as these?
14.2 Go to http://project-dvr.tumblr.com/post/7190974154/ why-bad-projects-are-so-hard-to-kill and read the perspective on the difficulty in killing bad projects. What are some of the critical stories or pieces of advice offered by the blog writer and those commenting on his suggestions? How do corporate politics play a role in the continuation of poorly conceived projects? Which of these arguments makes the most sense to you? Why?
14.3 Go to http://cs.unc.edu/~welch/class/comp145/media/ docs/Boehm_Term_NE_Fail.pdf and read the article “Project Termination Doesn’t Equal Project Failure” by Barry Boehm. Summarize his main arguments. What does he cite as the top 10 reasons for project failure?
14.4 Go to www.pmhut.com/wp-content/uploads/2008/03/ project-closeout-document.pdf. Critique the content of this closeout form. What information would you suggest adding to the form to make it a more comprehensive close- out document?
14.5 Go to a search engine (Google, Yahoo!, Ask, etc.) and enter the term “project failure” or “project disaster.” Select one example and develop an analysis of the project. Was the project terminated or not? If not, why, in your opinion, was it allowed to continue?
502 Chapter 14 • Project Closeout and Termination
PMP certificAtion sAMPle QUestions
1. When does a project close? a. When a project is canceled b. When a project runs out of money c. When a project is successfully completed d. All of the above are correct answers
2. You have just completed your project and have to con- front the final activities your company requires when putting a project to bed. Which of the following activi- ties is not expected to be part of the project closeout?
a. Lessons learned b. Project archives c. Release of resources d. Supplier verification
3. Your project is nearing completion. At your request, mem- bers of your project team are grouping together critical project documentation, including contracts and financial records, change orders, scope and configuration manage- ment materials, and supplier delivery records. This pro- cess involves the creation of which of the following?
a. Archives b. Lessons learned c. Contract and legal files d. Scope document
4. The execution phase of the IT project has just finished. The goals of this project were to update order-entry systems for your company’s shipping department. Which of the following is the next step in the process of completing the project?
a. Gaining acceptance or the project by your shipping department
b. Finishing the work c. Closing the contract d. Releasing the resources
5. The team has just completed work on the project. By all accounts, this was a difficult project from the beginning and the results bear this out. You were over budget by 20% and significantly behind your schedule. Morale became progressively worse in the face of the numer- ous challenges. At the close of the project, you decide to hold an informal meeting with the team to discuss the problems and identify their sources, all with the goal of trying to prevent something like this from happening again. This process is known as what?
a. Closing the project b. Procurement audit c. Lessons learned d. Early termination
Answers: 1. d—All are reasons why a project will close; 2. d—Supplier verification is a process that must occur early in the project to ensure that deliveries will arrive when needed and are of sufficient quality; 3. a—The collection of relevant project documentation is known as archiving; 4. b—The start of the final phase of a project usually in- volves completing all final tasks; 5. c—A lessons learned meeting is intended to critically evaluate what went well and what went poorly on a project to promote good prac- tices and prevent poor ones on future projects.
Appendix 14.1 Sample Pages from Project Sign-off Document 503
APPeNDix 14.1
Sample Pages from Project Sign-off Document
Figure 14.5 Sample Pages from Project Sign-off Document
chair: The meeting chair is either the Project Manager or some other person instructed by the project manager.
Discipline Attendee comment/Approval Signature
Engineering
Manufacturing
Product & Tech Develop.
Quality & Safety
Finance
Marketing
Additional Attendees
Procurement
Legal
review Decision
The Chair is to sign appropriate box and insert expenditure limit.
APProVAl leVel
a. Proceed to next phase
b. Proceed with actions to next phase
c. Stop until designated actions have been completed
d. No further work
fiNANciAl liMitS
Approved expenditure limit for next phase $
Additional Notes/comments/Summary
Actions Arising This action sheet should be used to document actions required by the review and conditions of approval. The project team is responsible for completing all actions by the due date. The named individual will be responsible for the review on or before the due date if the action has been completed. The project will proceed at risk until all actions are completed and accepted.
504 Chapter 14 • Project Closeout and Termination
Action No. Action Description Date Due Person
responsible Accepted/ Signature
Figure 14.5 continued
Appendix 14.1 Sample Pages from Project Sign-off Document 505
Project Management confidence Yes No comments/reference
required reviews
Have all actions from the project review been cleared?
Has an implementation sign-off review been held? ref:
Have all actions from the implementation sign-off review been cleared?
lessons learned
Have lessons learned from project been recorded and archived? (Indicate storage locations and who may access these records.)
Have action plans been prepared for follow-up on projects?
Project Specifications
Have project specifications been collected and reported since the last review?
Project Plan
Has the Project Plan been updated and issued? ref:
Have all planned key customer milestones been achieved since the last review?
Have all planned key internal milestones been achieved since the last review?
Project resources
Have all planned resources been released into and out of the project on schedule?
Have all comparisons of planned versus actual resource usage been carried out and relevant departmental metrics updated?
Project costs
Has the project met its cost targets?
Project risk Assessment
Is an updated risk assessment available?
Project General
Has the team carried out a review of the entire project? ref:
Has it been confirmed that the customer has received all agreed-upon deliverables, including documents, mock-ups, etc.?
Has the project closure report been prepared?
Are there any follow-up projects that need to be initiated?
Have all project accounts been closed?
Figure 14.5 continued
506 Chapter 14 • Project Closeout and Termination
Business confidence Yes No comments/reference
Business case
Is the current product cost acceptable? ref:
Are the assumptions of the product life cycle and their effect on product cost still valid?
Have customer schedule adherence targets been met?
Has the commercial performance matched the financial criteria in the initial business case?
ref:
Has the business model been updated?
Are the other financial measures (including IRR and NPV) still acceptable?
Are follow-up projects still viable under this business case model?
Market and Sales confidence Yes No comments/reference
Pricing Policy
Is the pricing policy for original equipment and spares still valid?
Sales forecast—confidence
Have all sales schedules, including customer support group schedules, been agreed on?
customer feedback
Has customer feedback been received on project performance?
Have action plans been created to identify opportunities for improvement based on customer feedback?
Product Quality confidence Yes No comments/reference
Design
Have the design changes since previous reviews been listed?
Have all design change requests (DCRs) been implemented?
Are all engineering design review actions complete? ref:
Is the certification of project performance up-to-date and approved?
ref:
Has the design process been reviewed and any lessons learned been highlighted?
Have the lessons learned been summarized and entered in the database?
Figure 14.5 continued
Notes 507
Notes
1. Penn, I. (2013, May 14). “Duke Energy to cancel proposed Levy County nuclear plant,” Tampa Bay Times. www. tampabay.com/news/business/energy/duke-energy- to-cancel-proposed-levy-county-nuclear-plant-fasano- says/2134287; Henderson, B. (2013, August 1). “Duke Energy cancels contract for Levy County nuclear power plants,” Orlando Sentinel. http://articles.orlandosentinel. com/2013-08-01/business/os-duke-energy-cancels-levy- county-nuclear-plant-i-20130801_1_levy-county-nuclear- plants-orlando-area; Judy, S. (2013, August 2). “Duke Energy cancels $24.7B Florida nuke plant project,” ENR Southeast. http://southeast.construction.com/southeast_ construction_news/2013/0802-duke-energy-cancels- 247b-florida-nuke-plant-project.asp
2. Spirer, H. F., and Hamburger, D. (1983). “Phasing out the project,” in Cleland, D. I., and King, W. R. (Eds.), Project Management Handbook. New York: Van Nostrand Reinhold, pp. 231–50.
3. Meredith, J. R., and Mantel, Jr., S. J. (2003). Project Management, 5th ed. New York: Wiley.
4. Meredith, J. R., and Mantel, Jr., S. J. (2011). Project Management, 8th ed. New York: Wiley.
5. Cooke-Davies, T. (2001). “Project closeout manage- ment: More than simply saying good-bye and moving on,” in Knutson, J. (Ed.), Project Management for Business Professionals. New York: Wiley, pp. 200–14.
6. Cooke-Davies, T. (2001), ibid. 7. Turner, J. R. (1993). Handbook of Project-Based Work. London:
McGraw-Hill. 8. Ive, G. (2004). “Private finance initiatives and the man-
agement of projects,” in Morris, P. W. G., and Pinto, J. K. (Eds.), The Wiley Guide to Managing Projects. New York: Wiley.
9. Pinto, J. K., and Slevin, D. P. (1987). “Critical factors in successful project implementation,” IEEE Transactions on Engineering Management, EM-34: 22–27.
10. Cooke–Davies, T. (2001), ibid. 11. Frame, J. D. (2004). “Lessons learned: Project evaluation,”
in Morris, P. W. G., and Pinto, J. K. (Eds.), The Wiley Guide to Managing Projects. Hoboken, NJ: John Wiley and Sons, pp. 1197–1213.
12. Frame, J. D. (2004), ibid., p. 1202. 13. Pinto, M. B., Pinto, J. K., and Prescott, J. E. (1993).
“Antecedents and consequences of project team cross- functional cooperation,” Management Science, 39: 1281–97.
14. Cooke-Davies, T. (2001), as cited in note 5; Dinsmore, P. C. (1998). “You get what you pay for,” PMNetwork, 12(2): 21–22.
15. Meredith, J. R. (1988). “Project monitoring and early ter- mination,” Project Management Journal, 19(5): 31–38.
16. Dean, B. V. (1968). Evaluating, Selecting and Controlling R&D Projects. New York: American Management Association.
17. Balachandra, R. (1989). Early Warning Signals for R&D Projects. Boston: Lexington Books; Balachandra, R., and Raelin, J. A. (1980). “How to decide when to abandon a project,” Research Management, 23(4): 24–29; Balachandra, R., and Raelin, J. A. (1984). “When to kill that R&D proj- ect,” Research Management, 27: 30–33; Balachandra, R., and Raelin, J. A. (1985). “R&D project termination in high-tech
industries,” IEEE Transactions on Engineering Management, EM-32: 16–23.
18. Green, S. G., Welsh, M. A., and Dehler, G. E. (1993). “Red flags at dawn or predicting project termination at start- up,” Research Technology Management, 36(3): 10–12.
19. Meredith, J. R. (1988), as cited in note 15; Cleland, D. I., and Ireland, L. R. (2002). Project Management: Strategic Design and Implementation, 4th ed. New York: McGraw-Hill; Staw, B. M., and Ross, J. (1987, March–April). “Knowing when to pull the plug,” Harvard Business Review, 65: 68–74; Shafer, S. M., and Mantel, Jr., S. J. (1989). “A decision sup- port system for the project termination decision,” Project Management Journal, 20(2): 23–28; Tadasina, S. K. (1986). “Support system for the termination decision in R&D management,” Project Management Journal, 17(5): 97–104; Cooper, R. G., and Kleinschmidt, E. J. (1990). “New prod- uct success: A comparison of ‘kills’ versus successes and failures,” Research and Development Management, 20(1): 47–63; Royer, I. (2003). “Why bad projects are so hard to kill,” Harvard Business Review, 81(2): 48–56; Spiller, P. T., and Teubal, M. (1977). “Analysis of R&D failure,” Research Policy, 6: 254–75; Charvat, J. P. (2002). “How to identify a failing project,” articles.techrepublic.com.com/5100- 10878_11-1061879.html; Mersino, A. (2001). “Three warn- ing signs that your project is doomed,” articles.techrepub- lic.com.com/5100-10878_111046522.html?tag=rbxccnbtr1; Mersino, A. (2001). “Four more warning signs that your project is doomed,” articles.techrepublic.com.com/5100- 10878_11-1046005. html?tag=rbxccnbtr1
20. Frame, J. D. (1998). “Closing out the project,” in Pinto, J. K. (Ed.), The Project Management Institute Project Management Handbook. San Francisco, CA: Jossey-Bass, pp. 237–46; Kumar, V., Sersaud, A. N. S., and Kumar, U. (1996). “To terminate or not an ongoing R&D project: A managerial dilemma,” IEEE Transactions on Engineering Management, 43(3): 273–84; Pritchard, C. L. (1998). “Project termination: The good, the bad, the ugly,” in Cleland, D. I. (Ed.), Field Guide to Project Management. New York: Van Nostrand Reinhold, pp. 377–93.
21. Bishop, T. (2013, February 7). “EveryBlock closes: NBC cites lack of strategic fit,” Geek Wire. www.geekwire. com/2013/everyblock-closes-nbc-news-strategic-fit/
22. Menon, P. (2013, July 30). “Dubai sets up panel to pay investors in scrapped projects,” Reuters. www.reuters. com/article/2013/07/30/dubai-property-cashback- idUSL6N0G02IE20130730; Menon, P. (2012, November 27). “Government tries to revive its construction boom but can it find the cash?” Reuters. www.dailyfinance.com/2012/11/27/ dubai-construction-boom-money-islamic-bonds/.
23. Spirer, H. F., and Hamburger, D. (1983), as cited in note 2. 24. Krigsman, M. (2012, April 10). “Worldwide cost of IT
failure (revisited): $3 trillion,” ZDNet. www.zdnet. c o m / b l o g / p ro j e c t f a i l u re s / w o r l d w i d e - c o s t - o f - i t - failure-revisited-3-trillion/15424; Mayhew, P. (2010). “Annual cost of project failure,” Papercut PM. http:// edge.papercutpm.com/annual-cost-of-project-fail- ure/; Standish Group. (2013). Chaos Report 2013. Cambridge, MA. www.versionone.com/assets/img/ files/CHAOSManifesto2013.pdf
508 Chapter 14 • Project Closeout and Termination
25. Field, T. (1997, October 15). “When bad things hap- pen to good projects,” CIO Magazine; Dignan, L. (2008). “Promises, promises: A look at Waste Management’s case against SAP,” www.zdnet.com/blog/btl/promises-prom- ises-a-look-at-waste-managements-case-against-sap/833; Kanaracus, C. (2010, May 3). “SAP, Waste Management set- tle lawsuit,” www.computerworld.com/s/article/9176259/ SAP_Waste_Management_settle_lawsuit.
26. Marsh, P. (2000). “Managing variation, claims, and dis- putes,” in Turner, J. R., and Simister, S. J. (Eds.), Gower Handbook of Project Management, 3rd ed. Aldershot, UK: Gower.
27. Bennett, S. C. (2006). “Non-binding arbitration: An intro- duction,” Dispute Resolution Journal, 61(2), 22–27.
28. Frame, J. D. (1998), as cited in note 20. 29. Spirer, H. F., and Hamburger, D. (1983), as cited in note 2. 30. Malanga, S. (2010, October 16–17). “Christie is right about
the Hudson River big dig,” Wall Street Journal, p. A15; Schuerman, M. (2010). “New Jersey Governor Chris Christie kills Hudson River train tunnel for second time,” www.wnyc.org/articles/wnyc-news/2010/oct/26/new- jersey-governor-chris-christie-kills-hudson-river-train- tunnel-second-time/; “N.J. Gov. Christie kills Hudson River tunnel project, citing taxpayers woes.” (2010, October 7). www.nj.com/news/index.ssf/2010/10/gov_christie_ kills_hudson_rive.html; http://en.wikipedia.org/wiki/
Access_to_the_Region%27s_Core; www.arctunnel.com/ pdf/news/Tunnel%20Info%20Kit_Dec2009_single%20 page%20layout.pdf; http://blog.nj.com/njv_editorial_ page/2009/06/arc_transhudson_rail_tunnel_co.html; Smart, M. (2009). “Digging deep,” PMNetwork, 23(10): 40–45.
31. “Navy scraps plans to build more than two stealth destroy- ers,” www.foxnews.com/0,3566,389222,00.html; Cavas, C. P. (2008, July 22). “DDG 1000 program will end at two ships,” Defense News. www.defensenews.com/story.php? i=3639737; Axe, D., and Shachtman, N. (2008, August 4). “Stealth destroyer largely defenseless, admiral says,” Wired Blog Room, blog.wired.com/defense/2008/08/ navys-stealth-d.html; “The A-12 and the arsenal ship.” (2008, August 3). Information Dissemination. information- dissemination.blogspot.com/2008/08/a-12-and-arsenal- ship.html; Sharp, D. (2008, July 23). “Cost big factor in decision to sack DDG-1000.” www.boston.com/news/ local/maine/articles/2008/07/23/navy_scraps_new_de- stroyer_to_build_older_models/; Shalal, A. (2014, April 9). “McCain blasts Navy’s LCS ship plan; urges cut to 24 ves- sels,” Reuters. www.reuters.com/article/2014/04/10/ us-navy-ships-mccain-idUSBREA3900T20140410; Patch, J. (2011). “The wrong ship at the wrong time,” Proceedings Magazine, 137: 1,295. www.usni.org/magazines/ proceedings/2011-01/wrong-ship-wrong-time#footnotes
509
Appendix A
The Cumulative Standard Normal Distribution
Z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09
0.0 .5000 .5040 .5080 .5120 .5160 .5199 .5239 .5279 .5319 .5359
0.1 .5398 .5438 .5478 .5517 .5557 .5596 .5636 .5675 .5714 .5753
0.2 .5793 .5832 .5871 .5910 .5948 .5987 .6026 .6064 .6103 .6141
0.3 .6179 .6217 .6255 .6293 .6331 .6368 .6406 .6443 .6480 .6517
0.4 .6554 .6591 .6628 .6664 .6700 .6736 .6772 .6808 .6844 .6879
0.5 .6915 .6950 .6985 .7019 .7054 .7088 .7123 .7157 .7190 .7224
0.6 .7257 .7291 .7324 .7357 .7389 .7422 .7454 .7486 .7518 .7549
0.7 .7580 .7612 .7642 .7673 .7704 .7734 .7764 .7794 .7823 .7852
0.8 .7881 .7910 .7939 .7967 .7995 .8023 .8051 .8078 .8106 .8133
0.9 .8159 .8186 .8212 .8238 .8264 .8289 .8315 .8340 .8365 .8389
1.0 .8413 .8438 .8461 .8485 .8508 .8531 .8554 .8577 .8599 .8621
1.1 .8643 .8665 .8686 .8708 .8729 .8749 .8770 .8790 .8810 .8830
1.2 .8849 .8869 .8888 .8907 .8925 .8944 .8962 .8980 .8997 .9015
1.3 .9032 .9089 .9066 .9082 .9099 .9115 .9131 .9147 .9162 .9177
1.4 .9192 .9207 .9222 .9236 .9251 .9265 .9279 .9292 .9306 .9319
1.5 .9332 .9345 .9357 .9370 .9382 .9394 .9406 .9418 .9429 .9441
1.6 .9452 .9463 .9474 .9484 .9495 .9505 .9515 .9525 .9535 .9545
1.7 .9554 .9564 .9573 .9582 .9591 .9599 .9608 .9616 .9625 .9633
1.8 .9641 .9649 .9656 .9664 .9671 .9678 .9686 .9693 .9699 .9706
1.9 .9713 .9719 .9726 .9732 .9738 .9744 .9750 .9756 .9761 .9767
2.0 .9772 .9778 .9783 .9788 .9793 .9798 .9803 .9808 .9812 .9817
2.1 .9821 .9826 .9830 .9834 .9838 .9842 .9846 .9850 .9854 .9857
2.2 .9861 .9864 .9868 .9871 .9875 .9878 .9881 .9884 .9887 .9890
2.3 .9893 .9896 .9898 .9901 .9904 .9906 .9909 .9911 .9913 .9916
2.4 .9918 .9920 .9922 .9925 .9927 .9929 .9931 .9932 .9934 .9936
2.5 .9938 .9940 .9941 .9943 .9945 .9946 .9948 .9949 .9951 .9952
2.6 .9953 .9955 .9956 .9957 .9959 .9960 .9961 .9962 .9963 .9964
2.7 .9965 .9966 .9967 .9968 .9969 .9970 .9971 .9972 .9973 .9974
2.8 .9974 .9975 .9976 .9977 .9977 .9978 .9979 .9979 .9980 .9981
2.9 .9981 .9982 .9982 .9983 .9984 .9984 .9985 .9985 .9986 .9986
3.0 .99865 .99869 .99874 .99878 .99882 .99886 .99889 .99893 .99897 .99900
3.1 .99903 .99906 .99910 .99913 .99916 .99918 .99921 .99924 .99926 .99929
3.2 .99931 .99934 .99936 .99938 .99940 .99942 .99944 .99946 .99948 .99950
3.3 .99952 .99953 .99955 .99957 .99958 .99960 .99961 .99962 .99964 .99965
3.4 .99966 .99968 .99969 .99970 .99971 .99972 .99973 .99974 .99975 .99976
3.5 .99977 .99978 .99978 .99979 .99980 .99981 .99981 .99982 .99983 .99983
3.6 .99984 .99985 .99985 .99986 .99986 .99987 .99987 .99988 .99988 .99989
3.7 .99989 .99990 .99990 .99990 .99991 .99991 .99992 .99992 .99992 .99992
3.8 .99993 .99993 .99993 .99994 .99994 .99994 .99994 .99995 .99995 .99995
3.9 .99995 .99995 .99996 .99996 .99996 .99996 .99996 .99996 .99997 .99997
Entry represents area under the cumulative standardized normal distribution from - ∞ to z.
510
Appendix B
Tutorial for MS Project 2013
ExErcisE A: constructing thE nEtwork: sitE PrEPArAtion ProjEct
tAblE 1 Site Preparation Project
FigurE A.1 Entering Project Information
Source: MS Project 2013, Microsoft Corporation
Task Title Predecessors Duration
A Contract Approval — 5
B Site Survey A 5
C Permit Application A 4
D Grading B, C 5
E Sewer Lines B 7
F Base Paving D 3
G City Approval C, F 6
H Final Paving E, G 8
Using the above information, complete the following tasks:
1. Construct this network using MS Project 2013. 2. Identify the critical path. How long will this project take? 3. Assign and level resources. 4. Suppose Rose is responsible for Activities B and C. Are there any resource conflicts? How do
we know? 5. Show the same project using a Gantt chart and a network diagram.
1. construct this nEtwork using Ms ProjEct 2013
To create an MS Project 2013 file, the first step is to enter the information on the MS Project home screen. Under “Task Name,” list the different tasks and fill in their expected durations under the Duration column. Figure A.1 shows a partially completed network with task names and their respective durations. Note that not all durations have been completed. Further, note that at this point all the activities are shown as starting immediately (Gantt chart on the extreme right of Figure A.1). In other words, precedence has not yet been assigned to order the activities.
The second step is to assign the predecessor relationships to each of the activities. Double-click on Task B, Site Survey. This will open a new dialogue box in the window, as seen in Figure A.2.
Note that one of the tabs in this dialogue box is labeled “Predecessors.” Click on this tab to open a second dialogue box. Then click on the first line under “Task Name” and the list of all activities will come up. Click on the “Contract Approval” activity, as shown in Figure A.3.
Finally, click out of the dialogue box and observe what has happened to the Gantt chart: A predecessor arrow has been added from Activity A to Activity B (see Figure A.4). “Start” and “Finish” dates have been automatically created, based on the date the chart was created.
511
FigurE A.2 Assigning Predecessor Relationships
Source: MS Project 2013, Microsoft Corporation
FigurE A.3 Selecting Predecessors
Source: MS Project 2013, Microsoft Corporation
FigurE A.4 Predecessor Arrow Added
Source: MS Project 2013, Microsoft Corporation
Exercise A: Constructing the Network: Site Preparation Project 511
512 Appendix B • Tutorial for MS Project 2013
To complete the chart, double-click on each activity and assign its predecessors (based on Table 1) in the dialogue window. When you have finished, the Gantt chart should look like that shown in Figure A.5.
2. idEntiFy thE criticAl PAth. how long will this ProjEct tAkE?
How do you determine which are the critical tasks; that is, what does the project’s critical path look like? In order to find this information, click on the “Format” tab at the top of the screen and then check the box that says “Critical Tasks” beneath it. Immediately, on a computer monitor, all the critical activities will be highlighted in red (see Figure A.6). The critical path follows the activity path A – B – D – F – G – H and results in a duration of 32 days (or June 24 through August 6, using the calendar and allowing for weekends off).
FigurE A.5 Predecessor Arrows Completed
Source: MS Project 2013, Microsoft Corporation
FigurE A.6 Critical Path and Project Duration Identified
Note: In predecessor column, all activities are assigned a number corresponding to their row in the leftmost column. Thus, “Contract Approval” is assigned the number “2”.
Source: MS Project 2013, Microsoft Corporation
3. Assign And lEvEl rEsourcEs
We then can add resources to the project based on the information given below:
tAblE 2 Resources
Activity Resource Responsible
A Todd
B Rose
C Rose
D Mike
E Josh
F Todd
G Mary
H Todd
Click on the “Resource” tab and then click on “Assign Resources.” This will open up a new window for entering all the resource names for the project. Once the name “Todd” has been assigned to Activity A, the screen should look like Figure A.7.
Exercise A: Constructing the Network: Site Preparation Project 513
Continue assigning resources to the project activities from the people identified in the “Assign Resources” box. The completed resource assignment will look like Figure A.8.
4. suPPosE rosE is rEsPonsiblE For ActivitiEs b And c. ArE thErE Any rEsourcE conFlicts? how do wE know?
Will assigning Rose to Activities B and C cause a resource conflict? To determine this information, take a look at the Gantt chart constructed in Figure A.9 and note the human figures in the informa- tion column at the left. This is a warning of resource conflict. Just by looking at the Gantt chart, you can see that assigning Rose to Activities B and C will be a problem because both activities are scheduled to begin at the same time. How do you resolve this conflict?
FigurE A.7 Assigning Resources
Source: MS Project 2013, Microsoft Corporation
FigurE A.8 Resource Assignment Completed
Source: MS Project 2013, Microsoft Corporation
FigurE A.9 Resource Conflict Warning
Source: MS Project 2013, Microsoft Corporation
514 Appendix B • Tutorial for MS Project 2013
One option is to click on the “Resource” tab and highlight the two activities that are in con- flict (B and C). Then, click the “Level Resource” option and a dialogue box will appear in which you can highlight the name of the resource conflict (Rose). Figure A.10 shows the screen with Rose’s name highlighted. Click “Level Now” in the box.
Notice that the project schedule (Gantt chart shown in Figure A.11) has been modified as a result of the decision to level the resource. As the figure shows, the new precedence ordering for the activities moves Activity C into a sequential relationship with Activity D. The important ques- tion is, “What happens to the project’s duration as a result of leveling the resources?” If we go to the Task tab and click on “Auto Schedule,” it shows that accommodating a sequential use of Rose for Tasks B and C will lead to other sequencing conflicts for Activities D, F, G, and H. Using the Auto Schedule function for each of these activities in turn (Figure A.12) shows a new project sched- ule with a completion date that has expanded by six days (to August 12).
FigurE A.10 Leveling Resources
Source: MS Project 2013, Microsoft Corporation
FigurE A.11 Modified Project Schedule with Resource Leveling
Source: MS Project 2013, Microsoft Corporation
FigurE A.12 New Project Critical Path After Resource Leveling
Source: MS Project 2013, Microsoft Corporation
Exercise B: Adding Details and Updating the Network for an Ongoing Project 515
5. show thE sAME ProjEct with A gAntt chArt And A nEtwork diAgrAM
Finally, this project schedule can be shown as a network diagram rather than in Gantt chart format. To do this, click on the “Task” tab on the far left and click on the “Gantt Chart View” option. From the pull-down menu, click on “Network Diagram” and the view shown in Figure A.13 will appear.
ExErcisE b: Adding dEtAils And uPdAting thE nEtwork For An ongoing ProjEct
It is important to be able to make mid-project adjustments to a project schedule to reflect the latest information and update the schedule accordingly. Maintaining up-to-date MS Project plans allows you to generate the latest cost information, earned value or other status updates, and any addi- tional reports that will help keep track of the ongoing project.
Consider the Site Preparation Project plan from Exercise A. We have created a resource-lev- eled schedule that will take 32 days to complete. For simplicity’s sake, Mary has replaced Rose for Activity C (Permit Application) to omit the resource conflict from the first exercise (see Figure B.1). This reassignment does not change the network logic or the expected duration of the project; it merely removes the potential resource conflict from the first tutorial exercise.
More detailed information can be added to this project plan, including details about each activ- ity (lag relationships, priority, activity hours, etc.), assignable costs of materials and equipment, and the hourly cost of each of the assigned resources. In the Resource tab, select “Details” to see the current list of resources for the project, including spaces for their standard and overtime rates, and other perti- nent information. Assign the hourly costs for the resources at the following example rates:
FigurE A.13 Network Diagram
Source: MS Project 2013, Microsoft Corporation
FigurE b.1 Starting Conditions for Site Preparation Project
Source: MS Project 2013, Microsoft Corporation
Resource Hourly Cost
Todd $22/hour
Rose $30/hour
Mike $14/hour
Josh $18/hour
Mary $10/hour
Fill these values in on the resource sheet shown in Figure B.2.
tAblE 3 Hourly cost
516 Appendix B • Tutorial for MS Project 2013
The next step is to update the actual performance of the project. Suppose that we decide to update the project to the date July 16 on our schedule. The simplest way to do this is to click on the Project tab and the “Update Project” option. This will open a dialogue box requesting the date you wish to update the project to. Once we have set the date to July 16, you will see that several events occur (see Figure B.3). First, the program assumes that all tasks have been successfully completed to that point in time. In the far left column, check marks appear to indicate the completion of the first five activities (A–E). Furthermore, a solid bar is drawn through the middle of the activities com- pleted, while a partial bar appears in Activity F (Base Paving) because this task is only 67% finished.
We can also update the project on a task-by-task basis by clicking on the Task tab and then highlighting each task in order. We have the option of marking each as “Mark on Track,” or we can manually click on the options to the left of “Mark on Track” and assign project completion rates of 0%, 25%, 50%, 75%, or 100% complete for each activity. Finally, we can click on the activities them- selves on the Gantt chart and, holding down the left mouse button, drag the cursor to the right, over the activity bar, to highlight the amount of work completed on the task. Doing so will identify the task as being complete through a specific date in the schedule.
In addition, we can generate other useful information about the current status of the project. For example, suppose we would like to know about resource usage and project costs to date (remember that for this example, all project costs are understood to be resource costs; no addi- tional costs of materials or machinery are included). We can access this information by clicking on the Project tab and the “Reports” option. In the opened box, click on the “Dashboards” to pull up highly visual reports, such as a “Project Overview” or “Burndown.” Figure B.4 shows the Overview, which lists the major details of the project as of July 16.
FigurE b.3 Updating the Project to July 16
Source: MS Project 2013, Microsoft Corporation
FigurE b.2 Resource Sheet
Source: MS Project 2013, Microsoft Corporation
Exercise B: Adding Details and Updating the Network for an Ongoing Project 517
The project summary table highlights all the most important project information, including the scheduled project duration, the amount of scheduled work (in hours) both completed and remaining, and so forth.
Let us return to our example of the project’s status on July 16, but with some different param- eters this time. For example, suppose that the actual performance of the project tasks by July 16 were as follows:
FigurE b.4 Project Summary
Source: MS Project 2013, Microsoft Corporation
tAblE 4 Tasks Completed
Activity Percentage Completed
A 100
B 100
C 75
D 40
E 40
F 0
G 0
H 0
518 Appendix B • Tutorial for MS Project 2013
We can update the progress of our project by taking the following steps: First, on the Task tab, click the arrow on “Details.” This will show each activity, the amount of work assigned to complete it, and the amount that has actually been done to date. In the “View” tab, click on “Team Planner” to see the visual overview of the updated status of the project. You can also click on the “View” tab, click on “Tables,” and then click on “Work.” It is possible to update all project information, one task at a time, using the information shown in the Table 4. The reconfigured Task Sheet is shown in Figure B.5.
The Task Sheet corresponds to an updated Gantt chart shown in Figure B.6. Note that because we specified the actual work completed, only Activities A and B are shown as having been com- pleted. For the other ongoing activities, the task bars now show only partial completion.
As a last exercise, suppose we wished to determine the earned value for this project as of July 16 with the updated activity status information. Several steps are needed to create the neces- sary information for an earned value table. First, it is necessary to set the project baseline. This can be done by clicking the Project tab. In the Schedule group, point to “Set Baseline” and click on this option. This establishes the overall project baseline. Then, in the Report tab, click “Costs,” and then select the “Cost Overruns” option. This will show the breakdown of costs, including any variances, for each task (see Figure B.7). The Earned Value for the project can also be found on the Report tab and “Costs” option. Simply click “Earned Value” and the information becomes available in the earned value chart shown in Figure B.8. The chart in Figure B.8 also contains the Estimate at Completion (EAC), Earned Value (EV or BCWP), and Actual Cost (ACWP). As with the other tables and charts, this information can be continuously updated by adding more information on actual task performance throughout the life of the project.
FigurE b.5 Reconfigured Task Sheet for July 16
Source: MS Project 2013, Microsoft Corporation
FigurE b.6 Reconfigured Gantt Chart
Source: MS Project 2013, Microsoft Corporation
Exercise B: Adding Details and Updating the Network for an Ongoing Project 519
FigurE b.8 Earned Value Table
Source: MS Project 2013, Microsoft Corporation
FigurE b.7 Cost Breakdown Table
Source: MS Project 2013, Microsoft Corporation
520
Appendix C
Project Plan Template
Project execution Plan for Project
Note: this plan covers the minimum information required in order to gain approval for a project. Additional information may be included in appendices at the back of the plan. For any sections of this document left blank, please write N/A in the corresponding space and provide an explanation at the end of the document for not including this information.
execution Plan revision History
Version # Implemented
by Revision
Date Approved
by Approval
Date Reason
Table of Contents 1. Project overview
1.1 Purpose, Scope and Objectives, and Business Case 1.1.1 Scope 1.1.2 Statement of Work (SOW) 1.1.3 Business Case
1.2 Project Deliverables 1.3 Project Organization 1.4 Work Breakdown Structure (WBS)
1.4.1 Task description documentation 1.4.2 Organization Breakdown
Structure (OBS) 1.5 Responsibility Assignment Matrix
(RAM) 1.6 Work Authorization 1.7 Project Charter
2. risk Assessment 2.1 Risk Identification 2.2 Assessment of Probability
and Consequence (Qualitative)
2.3 Assessment of Probability and Consequence (Quantitative)
2.4 Mitigation Strategies 3. Project schedule
3.1 Activity Duration Estimates 3.2 Gantt Chart 3.3 Activity Network
4. Project Budget 4.1 Project Resources 4.2 Other costs 4.3 Cost estimates 4.4 Time-phased budget
5. communicAtions mAnAgement 6. trAcking And stAtus uPdAtes
6.1 Tracking method 6.2 Notification record 6.3 Control systems
7. Project close-out 7.1 Close cost accounts 7.2 Lessons Learned
1. Project Overview—This section is intended to provide a brief background description of the project, including motivation, goals and objectives, success criteria by which it will be evalu- ated, major project deliverables, and identified constraints. See Chapter 5 for development of project scope.
1.1 Purpose, Scope and Objectives, and Business Case Describe the purpose of the project here. What are the key deliverables; that is, major items to be delivered to the customer, other stakeholders, suppliers, or other parties. 1.1.1 Scope
Describe the project scope in general terms. Include a problem statement, detailed steps in requirements gathering (who was consulted, when?), information gather- ing (critical features uncovered from investigation), project constraints, alternatives analysis, and business case documentation.
Execution Plan Revision History 521
1.1.2 Statement of Work (SOW) Include a detailed SOW for the project. Include:
1. Key milestones 2. Resource requirements 3. Risks and concerns 4. Acceptance criteria
1.1.3 Business Case Insert the project Business Case here. You can find an explanation of the business
case in Chapter 5. Briefly identify the business needs to be satisfied, the feasibility of the project, a description of internal and external forces likely to affect the proj- ect, a comparative analysis of the costs and benefits of this project over alternative solutions, and time estimates to return on investment. Identify how the satisfaction of business needs will be determined.
1.2 Project Deliverables—List the major items or project features to be delivered to the cli- ent. Include sign-off documentation from client to demonstrate their concurrence with the deliverable set.
1.3 Project Organization—Indicate all project team members, their specific roles, and project organization hierarchy. Where appropriate, indicate joint responsibility between project man- ager and functional manager. Develop project team reporting structure and include sponsor and/or executive team sign-off. See Chapter 3 for examples of project organization types.
1.4 Work Breakdown Structure (WBS)—Insert a WBS for the project, including all key deliverables and work packages. Include sign-off from project stakeholders on WBS. 1.4.1 Include project task description documentation If appropriate, complete project task description data sheets (for an example, see
Figure 5.5 from Chapter 5. 1.4.2 Include an organization breakdown structure (OBS) if needed. Identify all cost accounts across cooperating departments in the organization. See Figure 5.8 from Chapter 5.
1.5 Responsibility Assignment Matrix—Include a copy of a RAM for the project identifying all team members by WBS task code, including tasks for which they assume responsibil- ity, notification, support, or approval upon completion. See Figure 5.10 from Chapter 5.
1.6 Work Authorization—Include a copy of the contract or specific mention of contract terms and conditions. Include all penalty clauses and specific events that will trigger execution of penalties. Include all notification information, including members of the organization to be notified of changes in contract terms.
1.7 Project Charter—Include a copy of the project charter here. Include the formal sanction of the project and authorization to apply organizational resources to the project’s execu- tion. See an example in the Appendix to Chapter 5.
2. Risk Assessment—This section requires evidence of project risk assessment. The section is divided into subsections on identification of risks, analysis (assessment of risk probability and consequences), and mitigation strategies. See Chapter 7 for methods for risk management.
2.1 Risk Identification—Identify all relevant risk variables for the project, including a brief description of the risk variable and the ways in which it is likely to affect the project.
2.2 Assessment of Probability and Consequence (Qualitative)—Insert a qualitative risk as- sessment matrix in this space. Give evidence of how you arrived at this assessment, includ- ing sign-offs from key project stakeholders participating in the risk assessment exercise.
Sample Qualitative Risk Assessment Matrix
Low Consequences High Consequences
Low Likelihood Low Priority Medium Priority
High Likelihood Medium Priority High Priority
2.3 Assessment of Probability and Consequence (Quantitative)—Insert a quantitative assessment of probability and consequences, clearly identifying the criteria used for determining both probability of failure and consequence of failure. Insert this analysis here.
522 Appendix C • Project Plan Template
2.4 Mitigation Strategies—Identify individual mitigation strategies for each high priority risk factor. Briefly describe the strategy as either: Accept, Minimize, Transfer, or Share and specify actions to be taken in order to accomplish the strategy.
3. Project Schedule—This section addresses the duration estimates for all project activities, their activity networks, project critical path, and estimated project duration. A copy of the approved project schedule, including both activity network and Gantt chart, should be inserted in this section of the execution plan. See Chapters 9 and 11 for methods for project schedule development.
3.1 Activity Duration Estimates—Insert table with all activity duration estimates shown. Indicate if each estimate was derived stochastically (through PERT probability estimates) or deterministically. Add sign-off documentation from key organization members, in- cluding the project sponsor, that supports these duration estimates.
3.2 Gantt Chart—Insert copy of project Gantt chart from MS Project output file. On the chart, make sure and identify the project critical path, estimated time to completion, and resource assignments. Indicate all activity precedence relationships, including any lag requirements. Show all milestones and other significant mid-project stages, including scheduled supplier delivery dates (where appropriate).
3.3 Activity Network—Provide activity-on-node (AON) project network from MS Project output file.
4. Project Budget—This section includes activity cost estimation and the project budget. All direct and indirect costs should be included as well as the method used to develop fully loaded costs for all project resources. See Chapters 8 and 12 for examples of methods for cost estimation, fully loaded resource charges, time-phased budgeting, and resource leveling.
4.1 Project Resources—Identify all project resources. Include employment status (full-time, part-time, exemption status, etc.). Develop fully loaded cost table for all project resources.
4.2 Other costs—Identify all significant costs for materials, equipment, overhead, expediting, etc. 4.3 Cost estimates—Submit ballpark, comparative, and feasibility estimates. Show all infor-
mation gathered to support these estimates. Identify who participated in the cost estimate exercise. Provide final, definitive estimate with sponsor sign-off for final project budget.
4.4 Time-phased Budget—Submit time-phased budget with estimated expenses costed by project duration increments (weeks, months, quarters, etc.).
5. Communications Management—This section identifies all critical communication chan- nels for project stakeholders, frequency of communications, types of information to be com- municated, and project status tracking plan. Where appropriate, include electronic media used for collaborative purposes (e.g., Google Docs, Yammer, Facebook, etc.). Also, in cases of geographically dispersed project teams, indicate methods for regular communication. See discussion from Chapter 6 on team communication methods. An example of a communica- tion management protocol is shown below.
Purpose of communication Schedule frequency
Media or mechanism used Called by: Participants
Status updates Weekly Meeting and/or teleconference
Project manager Full project team
Exception/variance reports
As needed Meeting and/or teleconference
Project manager or technical lead
Impacted team members and client
Project reviews Monthly or at milestone Meeting and/or teleconference
Project manager Full project team, sponsor
Configuration changes As changes are approved Meeting for impacted parties; e-mail for team
Project manager, sponsor or technical lead
Impacted team members and client
Supplier coordination As needed prior to and post deliveries
Phone call Supply chain lead Project manager and supply chain lead
Emergency or critical events
As needed Face to face Any team member Full project team
Execution Plan Revision History 523
6. Tracking and Status Updates—This section of the plan indicates the methods the project team will use to regularly update the project status, including methods for tracking project progress, and which organizational stakeholders receive notification of project status. See Chapter 13 for examples of tracking and status updating methods.
6.1 Tracking method—Show the method used to track project status (S-curve, earned value, milestones, etc.). Indicate the regularity of these assessments (i.e., monthly, as needed, upon completion of major deliverables, etc.). For earned value assessments, indicate how you will provide updated cost performance index (CPI) and schedule performance index (SPI) data in a sample format as shown below.
Date CPI Trend SPI Trend
Month 1
Month 2
Month 3
6.2 Notification record—Maintain record of project status update communications. Indicate who received project updates and show sign-off by key stakeholders upon their receipt of status updates.
6.3 Control systems—Indicate the forms of project control that will be used for the project, including configuration control, design control, quality control, document control, and trend monitoring. Develop control documentation for each form of control you intend to use including a list of key organizational stakeholders who will be copied on all control documents and status updates.
7. Project Close-out—In this section, all necessary project close-out documentation and sign- offs must be included. Work completed or soon-to-complete must be identified, as well as configuration management changes, all sign-off documentation, warranties, notices of completion, supplier contracts, and charges for or against suppliers must be recorded and formally documented. Include copies of client sign-off, including satisfaction of contracted terms and conditions. See Chapter 14 for examples of steps in project close-out.
7.1 Close cost-accounts—Complete and close all project cost-accounts and other financial closeouts.
7.2 Lessons Learned—Complete a Lessons Learned assessment that identifies all excep- tions and other problems, mitigation strategies employed, success of the strategies, and suggestions for the future, and include sign-off documentation that key project team members participated in Lessons Learned meetings. Develop and embed an action plan for future projects in the Lessons Learned documentation.
524
1. Inclusions and Exclusions
This glossary includes terms that are
• Unique or nearly unique to project management (e.g., project scope statement, work package, work breakdown structure, critical path method).
• Not unique to project management, but used differently or with a narrower meaning in project management than in gen- eral everyday usage (e.g., early start date, schedule activity).
This glossary generally does not include:
• Application area-specific terms (e.g., project prospectus as a legal document—unique to real estate development).
• Terms used in project management which do not differ in any material way from everyday use (e.g., calendar day, delay).
• Compound terms whose meaning is clear from the combined meanings of the component parts.
• Variants when the meaning of the variant is clear from the base term (e.g., exception report is included, exception re- porting is not).
As a result of the above inclusions and exclusions, this glossary includes:
• A preponderance of terms related to Project Scope Management, Project Time Management, and Project Risk Management, since many of the terms used in these Knowledge Areas are unique or nearly unique to project management.
• Many terms from Project Quality Management, since these terms are used more narrowly than in their everyday usage.
• Relatively few terms related to Project Human Resource Management and Project Communications Management, since most of the terms used in these Knowledge Areas do not differ significantly from everyday usage.
• Relatively few terms related to Project Cost Manag ement, Project Integration Management, and Project Procurement Management, since many of the terms used in these Knowledge Areas have narrow meanings that are unique to a particular application area.
2. Common Acronyms
AC actual cost ACWP actual cost of work performed BAC budget at completion BCWP budgeted cost of work performed BCWS budgeted cost of work scheduled CCB change control board COQ cost of quality CPAF cost plus award fee CPF cost plus fee CPFF cost plus fixed fee CPI cost performance index CPIF cost plus incentive fee CPM critical path methodology CV cost variance EAC estimate at completion EF early finish date EMV expected monetary value
ES early start date ETC estimate to complete EV earned value EVM earned value management FF finish-to-finish FFP firm fixed price FMEA failure mode and effect analysis FP-EPA fixed price with economic price adjustment FPIF fixed price incentive fee FS finish to start IFB invitation for bid LF late finish date LOE level of effort LS late start date OBS organizational breakdown structure PDM precedence diagramming method PMBOK® Project Management Body of Knowledge PMIS project management information system PMP® Project Management Professional PV planned value QA quality assurance QC quality control RACI responsible, accountable, consult, and inform RAM responsibility assignment matrix RBS risk breakdown structure RFI request for information RFP request for proposal RFQ request for quotation SF start-to-finish SOW statement of work SPI schedule performance index SS start-to-start SV schedule variance SWOT strengths, weaknesses, opportunities,
and threats T&M time and material TQM Total Quality Management WBS work breakdown structure
3. Definitions
Many of the words defined here have broader, and in some cases different, dictionary definitions.
The definitions use the following conventions:
• In some cases, a single glossary term consists of multiple words (e.g., risk response planning).
• When synonyms are included, no definition is given and the reader is directed to the preferred term (i.e., see preferred term).
• Related terms that are not synonyms are cross- referenced at the end of the definition (i.e., see also related term).
Acceptance Criteria. Those criteria, including performance requirements and essential conditions, which must be met before project deliverables are accepted.
Acquire Project Team [Process]. The process of confirming human resource availability and obtaining the team necessary to complete project assignments.
Activity. A component of work performed during the course of a project.
Activity Attributes [Output/Input]. Multiple attributes associated with each schedule activity that can be included within the activity list. Activity
Glossary
A Guide to the Project Management Body of Knowledge (PMBOK® Guide)—Fifth Edition ©2013 Project Management Institute, 14 Campus Blvd, Newton Square, PA 19073-3299 USA. Copyright and all rights reserved. Material from this publication has been reproduced with the permission of PMI.
Glossary 525
attributes include activity codes, predecessor activities, successor activities, logical relationships, leads and lags, resource requirements, imposed dates, constraints, and assumptions.
Activity Code. One or more numerical or text values that identify character- istics of the work or in some way categorize the schedule activity that allows filtering and ordering of activities within reports.
Activity Duration. The time in calendar units between the start and finish of a schedule activity. See also duration.
Activity Identifier. A short unique numeric or text identification assigned to each schedule activity to differentiate that project activity from other activities. Typically unique within any one project schedule network diagram.
Activity List [Output/Input]. A documented tabulation of schedule activi- ties that shows the activity description, activity identifier, and a sufficiently detailed scope of work description so project team members understand what work is to be performed.
Actual Cost (AC). Total costs actually incurred and recorded in accom- plishing work performed during a given time period for a schedule activ- ity or work breakdown structure component. Actual cost can sometimes be direct labor hours alone, direct costs alone, or all costs including indirect costs. Also referred to as the actual cost of work performed (ACWP). See also earned value management and earned value technique.
Actual Cost of Work Performed (ACWP). See actual cost (AC).
Actual Duration. The time in calendar units between the actual start date of the schedule activity and either the data date of the project schedule if the schedule activity is in progress or the actual finish date if the schedule activity is complete.
Administer Procurements [Process]. The process of managing procurement relationships, monitoring contract performance, and making changes and corrections as needed.
Analogous Estimating [Technique]. An estimating technique that uses the values of parameters, such as scope, cost, budget, and duration or measures of scale such as size, weight, and complexity from a previous, similar activ- ity as the basis for estimating the same parameter or measure for a future activity.
Application Area. A category of projects that have common components significant in such projects, but are not needed or present in all projects. Application areas are usually defined in terms of either the product (i.e., by similar technologies or production methods), the type of customer (i.e., internal versus external, government versus commercial), or the industry sector (i.e., utilities, automotive, aerospace, information technologies, etc.). Application areas can overlap.
Approved Change Request [Output/Input]. A change request that has been processed through the integrated change control process and approved.
Assumptions. Assumptions are factors that, for planning purposes, are considered to be true, real, or certain without proof or demonstration.
Assumptions Analysis [Technique]. A tech nique that explores the accuracy of assumptions and identifies risks to the project from inaccuracy, inconsis- tency, or incompleteness of assumptions.
Authority. The right to apply project resources, expend funds, make deci- sions, or give approvals.
Backward Pass. The calculation of late finish dates and late start dates for the uncompleted portions of all schedule activities. Determined by working backwards through the schedule network logic from the project’s end date. See also schedule network analysis.
Baseline. An approved plan for a project, plus or minus approved changes. It is compared to actual performance to determine if performance is within acceptable variance thresholds. Generally refers to the current baseline, but may refer to the original or some other baseline. Usually used with a modi- fier (e.g., cost performance baseline, schedule baseline, performance mea- surement baseline, technical baseline).
Bottom-up Estimating [Technique]. A method of estimating a component of work. The work is decomposed into more detail. An estimate is prepared of what is needed to meet the requirements of each of the lower, more detailed pieces of work, and these estimates are then aggregated into a total quantity for the component of work. The accuracy of bottom-up estimating is driven by the size and complexity of the work identified at the lower levels.
Brainstorming [Technique]. A general data gathering and creativity tech- nique that can be used to identify risks, ideas, or solutions to issues by using a group of team members or subject-matter experts.
Budget. The approved estimate for the project or any work breakdown structure component or any schedule activity. See also estimate.
Budget at Completion (BAC). The sum of all the budgets established for the work to be performed on a project or a work breakdown structure com- ponent or a schedule activity. The total planned value for the project.
Budgeted Cost of Work Performed (BCWP). See earned value (EV).
Budgeted Cost of Work Scheduled (BCWS). See planned value (PV).
Buffer. See reserve.
Buyer. The acquirer of products, services, or results for an organization.
Calendar Unit. The smallest unit of time used in scheduling a project. Calendar units are generally in hours, days, or weeks, but can also be in quarter years, months, shifts, or even in minutes.
Change Control. Identifying, documenting, approving or rejecting, and con- trolling changes to the project baselines.
Change Control Board (CCB). A formally constituted group of stakehold- ers responsible for reviewing, evaluating, approving, delaying, or reject- ing changes to a project, with all decisions and recommendations being recorded.
Change Control System [Tool]. A collection of formal documented proce- dures that define how project deliverables and documentation will be con- trolled, changed, and approved. In most application areas, the change con- trol system is a subset of the configuration management system.
Change Request. Requests to expand or reduce the project scope; modify policies, processes, plans, or procedures; modify costs or budgets; or revise schedules.
Charter. See project charter.
Claim. A request, demand, or assertion of rights by a seller against a buyer, or vice versa, for consideration, compensation, or payment under the terms of a legally binding contract, such as for a disputed change.
Close Procurements [Process]. The process of completing each project procurement.
Close Project or Phase [Process]. The process of finalizing all activities across all of the Project Management Process Groups to formally complete the project or phase.
Closing Processes [Process Group]. Those processes performed to final- ize all activities across all Project Management Process Groups to formally close the project or phase.
Code of Accounts [Tool]. Any numbering system used to uniquely identify each component of the work breakdown structure.
Collect Requirements [Process]. The process of defining and documenting stakeholders’ needs to meet the project objectives.
Co-location [Technique]. An organizational placement strategy where the project team members are physically located close to one another in order to improve communication, working relationships, and productivity.
Common Cause. A source of variation that is inherent in the system and predictable. On a control chart, it appears as part of the random process vari- ation (i.e., variation from a process that would be considered normal or not unusual), and is indicated by a random pattern of points within the control limits. Also referred to as random cause. Contrast with special cause.
Communication Management Plan [Output/Input]. The document that describes the communications needs and expectations for the project, how and in what format information will be communicated, when and where each communication will be made, and who is responsible for providing each type of communication. The communication management plan is contained in, or is a subsidiary plan of, the project management plan.
Conduct Procurements [Process]. The process of obtaining seller responses, selecting a seller, and awarding a contract.
Configuration Management System [Tool]. A subsystem of the overall proj- ect management system. It is a collection of formal documented procedures used to apply technical and administrative direction and surveillance to iden- tify and document the functional and physical characteristics of a product, result, service, or component; control any changes to such characteristics; record and report each change and its implementation status; and support the audit of the products, results, or components to verify conformance to requirements. It includes the documentation, tracking systems, and defined approval levels necessary for authorizing and controlling changes.
Constraint [Input]. The state, quality, or sense of being restricted to a given course of action or inaction. An applicable restriction or limitation, either
526 Glossary
internal or external to a project, which will affect the performance of the project or a process. For example, a schedule constraint is any limitation or restraint placed on the project schedule that affects when a schedule activity can be scheduled and is usually in the form of fixed imposed dates.
Contingency. See reserve.
Contingency Allowance. See reserve.
Contingency Reserve [Output/Input]. The amount of funds, budget, or time needed above the estimate to reduce the risk of overruns of project objectives to a level acceptable to the organization.
Contract [Output/Input]. A mutually binding agreement that obligates the seller to provide the specified product or service or result and obligates the buyer to pay for it.
Control. Comparing actual performance with planned performance, ana- lyzing variances, assessing trends to effect process improvements, evaluat- ing possible alternatives, and recommending appropriate corrective action as needed.
Control Account [Tool]. A management control point where scope, bud- get (resource plans), actual cost, and schedule are integrated and compared to earned value for performance measurement. See also work package.
Control Chart [Tool]. A graphic display of process data over time and against established control limits, and that has a centerline that assists in detecting a trend of plotted values toward either control limit.
Control Costs [Process]. The process of monitoring the status of the project to update the project budget and managing changes to the cost baseline.
Control Limits. The area composed of three standard deviations on either side of the centerline, or mean, of a normal distribution of data plotted on a control chart that reflects the expected variation in the data. See also specification limits.
Control Schedule [Process]. The process of monitoring the status of the project to update project progress and managing changes to the schedule baseline.
Control Scope [Process]. The process of monitoring the status of the project and product scope and managing changes to the scope baseline.
Controlling. See control.
Corrective Action. Documented direction for executing the project work to bring expected future performance of the project work in line with the project management plan.
Cost Management Plan [Output/Input]. The document that sets out the for- mat and establishes the activities and criteria for planning, structuring, and controlling the project costs. The cost management plan is contained in, or is a subsidiary plan of, the project management plan.
Cost of Quality (COQ) [Technique]. A method of determining the costs incurred to ensure quality. Prevention and appraisal costs (cost of conformance) include costs for quality planning, quality control (QC), and quality assurance to ensure compliance to requirements (i.e., training, QC systems, etc.). Failure costs (cost of non-conformance) include costs to rework products, components, or processes that are non-compliant, costs of warranty work and waste, and loss of reputation.
Cost Performance Baseline. A specific version of the time-phased budget used to compare actual expenditures to planned expenditures to determine if preventive or corrective action is needed to meet the project objectives.
Cost Performance Index (CPI). A measure of cost efficiency on a project. It is the ratio of earned value (EV) to actual costs (AC). CPI = EV divided by AC.
Cost-Plus-Fixed-Fee (CPFF) Contract. A type of cost-reimbursable contract where the buyer reimburses the seller for the seller’s allowable costs (allowable costs are defined by the contract) plus a fixed amount of profit (fee).
Cost-Plus-Incentive-Fee (CPIF) Contract. A type of cost-reimbursable con- tract where the buyer reimburses the seller for the seller’s allowable costs (allowable costs are defined by the contract), and the seller earns its profit if it meets defined performance criteria.
Cost-Reimbursable Contract. A type of contract involving payment to the seller for the seller’s actual costs, plus a fee typically representing seller’s profit. Cost-reimbursable contracts often include incentive clauses where, if the seller meets or exceeds selected project objectives, such as schedule targets or total cost, then the seller receives from the buyer an incentive or bonus payment.
Cost Variance (CV). A measure of cost performance on a project. It is the difference between earned value (EV) and actual cost (AC). CV = EV minus AC.
Crashing [Technique]. A specific type of project schedule compression technique performed by taking action to decrease the total project schedule duration after analyzing a number of alternatives to determine how to get the maximum schedule duration compression for the least additional cost. Typical approaches for crashing a schedule include reducing schedule activity dura- tions and increasing the assignment of resources on schedule activities. See also fast tracking and schedule compression.
Create WBS (Work Breakdown Structure) [Process]. The process of subdi- viding project deliverables and project work into smaller, more manageable components.
Criteria. Standards, rules, or tests on which a judgment or decision can be based, or by which a product, service, result, or process can be evaluated.
Critical Activity. Any schedule activity on a critical path in a project sched- ule. Most commonly determined by using the critical path method. Although some activities are “critical,” in the dictionary sense, without being on the critical path, this meaning is seldom used in the project context.
Critical Chain Method [Technique]. A schedule network analysis technique that modifies the project schedule to account for limited resources.
Critical Path. Generally, but not always, the sequence of schedule activities that determines the duration of the project. It is the longest path through the project. See also critical path methodology.
Critical Path Methodology (CPM) [Technique]. A schedule network anal- ysis technique used to determine the amount of scheduling flexibility (the amount of float) on various logical network paths in the project schedule network, and to determine the minimum total project duration. Early start and finish dates are calculated by means of a forward pass, using a specified start date. Late finish and start dates are calculated by means of a backward pass, starting from a specified completion date, which sometimes is the proj- ect early finish date determined during the forward pass calculation. See also critical path.
Data Date. The date up to or through which the project’s reporting system has provided actual status and accomplishments. Also called as-of date and time-now date.
Decision Tree Analysis [Technique]. The decision tree is a diagram that describes a decision under consideration and the implications of choosing one or another of the available alternatives. It is used when some future sce- narios or outcomes of actions are uncertain. It incorporates probabilities and the costs or rewards of each logical path of events and future decisions, and uses expected monetary value analysis to help the organization identify the relative values of alternate actions. See also expected monetary value.
Decomposition [Technique]. A planning technique that subdivides the project scope and project deliverables into smaller, more manageable com- ponents, until the project work associated with accomplishing the project scope and providing the deliverables is defined in sufficient detail to support executing, monitoring, and controlling the work.
Defect. An imperfection or deficiency in a project component where that component does not meet its requirements or specifications and needs to be either repaired or replaced.
Defect Repair. The formally documented identification of a defect in a project component with a recommendation to either repair the defect or completely replace the component.
Define Activities [Process]. The process of identifying the specific actions to be performed to produce the project deliverables.
Define Scope [Process]. The process of developing a detailed description of the project and product.
Deliverable [Output/Input]. Any unique and verifiable product, result, or capability to perform a service that must be produced to complete a process, phase, or project. Often used more narrowly in reference to an external deliv- erable, which is a deliverable that is subject to approval by the project sponsor or customer. See also product and result.
Delphi Technique [Technique]. An information-gathering technique used as a way to reach a consensus of experts on a subject. Experts on the subject participate in this technique anonymously. A facilitator uses a questionnaire to solicit ideas about the important project points related to the subject. The responses are summarized and are then recirculated to the experts for fur- ther comment. Consensus may be reached in a few rounds of this process.
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The Delphi technique helps reduce bias in the data and keeps any one per- son from having undue influence on the outcome.
Dependency. See logical relationship.
Determine Budget [Process]. The process of aggregating the estimated costs of individual activities or work packages to establish an authorized cost baseline.
Develop Human Resource Plan [Process]. The process of identifying and documenting project roles, responsibilities, and required skills; reporting re- lationships; and creating a staffing management plan.
Develop Project Charter [Process]. The process of developing a document that formally authorizes a project or a phase and documenting initial require- ments that satisfy the stakeholder’s needs and expectations.
Develop Project Management Plan [Process]. The process of documenting the actions necessary to define, prepare, integrate, and coordinate all subsidiary plans.
Develop Project Team [Process]. The process of improving the competen- cies, team interaction, and the overall team environment to enhance project performance.
Develop Schedule [Process]. The process of analyzing activity sequences, durations, resource requirements, and schedule constraints to create the project schedule.
Direct and Manage Project Execution [Process]. The process of performing the work defined in the project management plan to achieve the project’s objectives.
Distribute Information [Process]. The process of making relevant informa- tion available to project stakeholders as planned.
Duration (DU or DUR). The total number of work periods (not includ- ing holidays or other nonworking periods) required to complete a sched- ule activity or work breakdown structure component. Usually expressed as workdays or workweeks. Sometimes incorrectly equated with elapsed time. Contrast with effort.
Early Finish Date (EF). In the critical path method, the earliest possible point in time on which the uncompleted portions of a schedule activity (or the project) can finish, based on the schedule network logic, the data date, and any schedule constraints. Early finish dates can change as the project progresses and as changes are made to the project management plan.
Early Start Date (ES). In the critical path method, the earliest possible point in time at which the uncompleted portions of a schedule activity (or the project) can start, based on the schedule network logic, the data date, and any sched- ule constraints. Early start dates can change as the project progresses and as changes are made to the project management plan.
Earned Value (EV). The value of work performed expressed in terms of the approved budget assigned to that work for a schedule activity or work breakdown structure component. Also referred to as the budgeted cost of work performed (BCWP).
Earned Value Management (EVM). A management methodology for integrating scope, schedule, and resources, and for objectively measuring project performance and progress. Performance is measured by determining the budgeted cost of work performed (i.e., earned value) and comparing it to the actual cost of work performed (i.e., actual cost).
Earned Value Technique (EVT) [Technique]. A specific technique for measuring the performance of work and used to establish the performance measurement baseline (PMB).
Effort. The number of labor units required to complete a schedule activity or work breakdown structure component. Usually expressed as staff hours, staff days, or staff weeks. Contrast with duration.
Enterprise Environmental Factors [Output/Input]. Any or all external environmental factors and internal organizational environmental factors that surround or influence the project’s success. These factors are from any or all of the enterprises involved in the project, and include organizational cul- ture and structure, infrastructure, existing resources, commercial databases, market conditions, and project management software.
Estimate [Output/Input]. A quantitative assessment of the likely amount or outcome. Usually applied to project costs, resources, effort, and durations and is usually preceded by a modifier (i.e., preliminary, conceptual, feasibility, order-of-magnitude, definitive). It should always include some indication of accuracy (e.g., ±x percent). See also budget.
Estimate Activity Durations [Process]. The process of approximating the number of work periods needed to complete individual activities with estimated resources.
Estimate Activity Resources [Process]. The process of estimating the type and quantities of material, people, equipment, or supplies required to perform each activity.
Estimate at Completion (EAC) [Output/Input]. The expected total cost of a schedule activity, a work breakdown structure component, or the project when the defined scope of work will be completed. The EAC may be calcu- lated based on performance to date or estimated by the project team based on other factors, in which case it is often referred to as the latest revised estimate. See also earned value technique and estimate to complete.
Estimate Costs [Process]. The process of developing an approximation of the monetary resources needed to complete project activities.
Estimate to Complete (ETC) [Output/Input]. The expected cost needed to complete all the remaining work for a schedule activity, work breakdown structure component, or the project. See also earned value technique and estimate at completion.
Execute. Directing, managing, performing, and accomplishing the proj- ect work, providing the deliverables, and providing work performance information.
Executing Processes [Process Group]. Those processes performed to com- plete the work defined in the project management plan to satisfy the project objectives.
Expected Monetary Value (EMV) [Analysis]. A statistical technique that calculates the average outcome when the future includes scenarios that may or may not happen. A common use of this technique is within decision tree analysis.
Expert Judgment [Technique]. Judgment provided based upon expertise in an application area, knowledge area, discipline, industry, etc., as appropriate for the activity being performed. Such expertise may be provided by any group or person with specialized education, knowledge, skill, experience, or training.
Failure Mode and Effect Analysis (FMEA) [Technique]. An analytical pro- cedure in which each potential failure mode in every component of a prod- uct is analyzed to determine its effect on the reliability of that component and, by itself or in combination with other possible failure modes, on the reliability of the product or system and on the required function of the com- ponent; or the examination of a product (at the system and/or lower levels) for all ways that a failure may occur. For each potential failure, an estimate is made of its effect on the total system and of its impact. In addition, a review is undertaken of the action planned to minimize the probability of failure and to minimize its effects.
Fast Tracking [Technique]. A specific project schedule compression tech- nique that changes network logic to overlap phases that would normally be done in sequence, such as the design phase and construction phase, or to perform schedule activities in parallel. See also crashing and schedule compression.
Finish Date. A point in time associated with a schedule activity’s comple- tion. Usually qualified by one of the following: actual, planned, estimated, scheduled, early, late, baseline, target, or current.
Finish-to-Finish (FF). The logical relationship where completion of work of the successor activity cannot finish until the completion of work of the predecessor activity. See also logical relationship.
Finish-to-Start (FS). The logical relationship where initiation of work of the successor activity depends upon the completion of work of the predecessor activity. See also logical relationship.
Firm-Fixed-Price (FFP) Contract. A type of fixed price contract where the buyer pays the seller a set amount (as defined by the contract), regardless of the seller’s costs.
Fixed-Price-Incentive-Fee (FPIF) Contract. A type of contract where the buyer pays the seller a set amount (as defined by the contract), and the seller can earn an additional amount if the seller meets defined performance criteria.
Float. Also called slack. See total float and free float.
Flowcharting [Technique]. The depiction in a diagram format of the inputs, process actions, and outputs of one or more processes within a system.
528 Glossary
Forecast. An estimate or prediction of conditions and events in the proj- ect’s future based on information and knowledge available at the time of the forecast. The information is based on the project’s past performance and expected future performance, and includes information that could impact the project in the future, such as estimate at completion and estimate to complete.
Forward Pass. The calculation of the early start and early finish dates for the uncompleted portions of all network activities. See also schedule network analysis and backward pass.
Free Float. The amount of time that a schedule activity can be delayed with- out delaying the early start date of any immediately following schedule activities. See also total float.
Functional Manager. Someone with management authority over an orga- nizational unit within a functional organization. The manager of any group that actually makes a product or performs a service. Sometimes called a line manager.
Functional Organization. A hierarchical organization where each employee has one clear superior, and staff are grouped by areas of specialization and managed by a person with expertise in that area.
Gantt Chart [Tool]. A graphic display of schedule-related information. In the typical bar chart, schedule activities or work breakdown structure com- ponents are listed down the left side of the chart, dates are shown across the top, and activity durations are shown as date-placed horizontal bars.
Grade. A category or rank used to distinguish items that have the same functional use (e.g., “hammer”), but which do not share the same require- ments for quality (e.g., different hammers may need to withstand different amounts of force).
Hammock Activity. See summary activity.
Historical Information. Documents and data on prior projects including project files, records, correspondence, closed contracts, and closed projects.
Human Resource Plan. A document describing how roles and responsibili- ties, reporting relationships, and staffing management will be addressed and structured for the project. It is contained in or is a subsidiary plan of the project.
Identify Risks [Process]. The process of determining which risks may affect the project and documenting their characteristics.
Identify Stakeholders [Process]. The process of identifying all people or organizations impacted by the project, and documenting relevant informa- tion regarding their interests, involvement, and impact on project success.
Imposed Date. A fixed date imposed on a schedule activity or schedule milestone, usually in the form of a “start no earlier than” and “finish no later than” date.
Influence Diagram [Tool]. A graphical representation of situations showing causal influences, time ordering of events, and other relationships among variables and outcomes.
Initiating Processes [Process Group]. Those processes performed to define a new project or a new phase of an existing project by obtaining authoriza- tion to start the project or phase.
Input [Process Input]. Any item, whether internal or external to the project, that is required by a process before that process proceeds. May be an output from a predecessor process.
Inspection [Technique]. Examining or measuring to verify whether an activity, component, product, result, or service conforms to specified requirements.
Invitation for Bid (IFB). Generally, this term is equivalent to request for proposal. However, in some application areas, it may have a narrower or more specific meaning.
Issue. A point or matter in question or in dispute, or a point or matter that is not settled and is under discussion or over which there are opposing views or disagreements.
Lag [Technique]. A modification of a logical relationship that directs a delay in the successor activity. For example, in a finish-to-start dependency with a ten-day lag, the successor activity cannot start until ten days after the predecessor activity has finished. See also lead.
Late Finish Date (LF). In the critical path method, the latest possible point in time that a schedule activity may be completed based upon the schedule network logic, the project completion date, and any constraints assigned to
the schedule activities without violating a schedule constraint or delaying the project completion date. The late finish dates are determined during the backward pass calculation of the project schedule network.
Late Start Date (LS). In the critical path method, the latest possible point in time that a schedule activity may begin based upon the schedule network logic, the project completion date, and any constraints assigned to the schedule activ- ities without violating a schedule constraint or delaying the project completion date. The late start dates are determined during the backward pass calculation of the project schedule network.
Lead [Technique]. A modification of a logical relationship that allows an acceleration of the successor activity. For example, in a finish-to-start de- pendency with a ten-day lead, the successor activity can start ten days be- fore the predecessor activity has finished. A negative lead is equivalent to a positive lag. See also lag.
Lessons Learned [Output/Input]. The learning gained from the process of performing the project. Lessons learned may be identified at any point. Also considered a project record, to be included in the lessons learned knowledge base.
Lessons Learned Knowledge Base. A store of historical information and lessons learned about both the outcomes of previous project selection deci- sions and previous project performance.
Leveling. See resource leveling.
Life Cycle. See project life cycle.
Log. A document used to record and describe or denote selected items iden- tified during execution of a process or activity. Usually used with a modifier, such as issue, quality control, action, or defect.
Logical Relationship. A dependency between two project schedule activi- ties, or between a project schedule activity and a schedule milestone. The four possible types of logical relationships are Finish-to-Start, Finish-to- Finish, Start-to-Start, and Start-to-Finish. See also precedence relationship.
Manage Project Team [Process]. The process of tracking team member per- formance, providing feedback, resolving issues, and managing changes to optimize project performance.
Manage Stakeholder Expectations [Process]. The process of communicating and working with stakeholders to meet their needs and addressing issues as they occur.
Master Schedule [Tool]. A summary-level project schedule that identifies the major deliverables and work breakdown structure components and key schedule milestones. See also also milestone schedule.
Material. The aggregate of things used by an organization in any under- taking, such as equipment, apparatus, tools, machinery, gear, material, and supplies.
Matrix Organization. Any organizational structure in which the project manager shares responsibility with the functional managers for assigning priorities and for directing the work of persons assigned to the project.
Methodology. A system of practices, techniques, procedures, and rules used by those who work in a discipline.
Milestone. A significant point or event in the project.
Milestone Schedule [Tool]. A summary-level schedule that identifies the major schedule milestones. See also master schedule.
Monitor. Collect project performance data with respect to a plan, pro- duce performance measures, and report and disseminate performance information.
Monitor and Control Project Work [Process]. The process of tracking, reviewing, and regulating the progress to meet the performance objectives defined in the project management plan.
Monitor and Control Risks [Process]. The process of implementing risk response plans, tracking identified risks, monitoring residual risks, identify- ing new risks, and evaluating risk process throughout the project.
Monitoring and Controlling Processes [Process Group]. Those processes required to track, review, and regulate the progress and performance of the project; identify any areas in which changes to the plan are required; and initiate the corresponding changes.
Monte Carlo Analysis. A technique that computes, or iterates, the project cost or project schedule many times using input values selected at random from probability distributions of possible costs or durations to calculate a distribution of possible total project cost or completion dates.
Glossary 529
Monte Carlo Simulation. A process that generates hundreds or thousands of probable performance outcomes based on probability distributions for cost and schedule on individual tasks. The outcomes are then used to generate a probability distribution for the project as a whole.
Near-Critical Activity. A schedule activity that has low total float. The con- cept of near-critical is equally applicable to a schedule activity or schedule network path. The limit below which total float is considered near critical is subject to expert judgment and varies from project to project.
Network. See project schedule network diagram.
Network Analysis. See schedule network analysis.
Network Logic. The collection of schedule activity dependencies that makes up a project schedule network diagram.
Network Path. Any continuous series of schedule activities connected with logical relationships in a project schedule network diagram.
Node. One of the defining points of a schedule network; a junction point joined to some or all of the other dependency lines.
Objective. Something toward which work is to be directed, a strategic posi- tion to be attained, a purpose to be achieved, a result to be obtained, a prod- uct to be produced, or a service to be performed.
Opportunity. A condition or situation favorable to the project, a positive set of circumstances, a positive set of events, a risk that will have a positive impact on project objectives, or a possibility for positive changes. Contrast with threat.
Organizational Breakdown Structure (OBS) [Tool]. A hierarchically orga- nized depiction of the project organization arranged so as to relate the work packages to the performing organizational units.
Organizational Process Assets [Output/Input]. Any or all process related assets, from any or all of the organizations involved in the project that are or can be used to influence the project’s success. These process assets in- clude formal and informal plans, policies, procedures, and guidelines. The process assets also include the organizations’ knowledge bases such as les- sons learned and historical information.
Output [Process Output]. A product, result, or service generated by a pro- cess. May be an input to a successor process.
Parametric Estimating [Technique]. An estimating technique that uses a statistical relationship between historical data and other variables (e.g., square footage in construction, lines of code in software development) to calculate an estimate for activity parameters, such as scope, cost, budget, and duration. An example for the cost parameter is multiplying the planned quantity of work to be performed by the historical cost per unit to obtain the estimated cost.
Pareto Chart [Tool]. A histogram, ordered by frequency of occurrence, that shows how many results were generated by each identified cause.
Path Convergence. The merging or joining of parallel schedule network paths into the same node in a project schedule network diagram. Path con- vergence is characterized by a schedule activity with more than one prede- cessor activity.
Path Divergence. Extending or generating parallel schedule network paths from the same node in a project schedule network diagram. Path divergence is characterized by a schedule activity with more than one successor activity.
Percent Complete. An estimate, expressed as a percent, of the amount of work that has been completed on an activity or a work breakdown structure component.
Perform Integrated Change Control [Process]. The process of reviewing all change requests, approving changes, and managing changes to the deliver- ables, organizational process assets, project documents, and project manage- ment plan.
Performance Measurement Baseline. An approved integrated scope- schedule-cost plan for the project work against which project execution is compared to measure and manage performance. Technical and quality pa- rameters may also be included.
Performance Reports [Output/Input]. Documents and presentations that provide organized and summarized work performance information, earned value management parameters and calculations, and analyses of project work progress and status.
Performing Organization. The enterprise whose personnel are most di- rectly involved in doing the work of the project.
Perform Qualitative Analysis [Process]. The process of prioritizing risks for further analysis or action by assessing and combining their probability of occurrence and impact.
Perform Quality Assurance [Process]. The process of auditing the quality requirements and the results from quality control measurements to ensure appropriate quality standards and operational definitions are used.
Perform Quality Control [Process]. The process of monitoring and record- ing results of executing the quality activities to assess performance and rec- ommend necessary changes.
Perform Quantitative Analysis [Process]. The process of numerically ana- lyzing the effect of identified risks on overall project objectives.
Phase. See project phase.
Plan Communications [Process]. The process of determining project stake- holder information needs and defining a communication approach.
Plan Procurements [Process]. The process of documenting project pur- chasing decisions, specifying the approach, and identifying potential sellers.
Plan Quality [Process]. The process of identifying quality requirements and/or standards for the project and product, and documenting how the project will demonstrate compliance.
Plan Risk Management [Process]. The process of defining how to conduct risk management activities for a project.
Plan Risk Responses [Process]. The process of developing options and actions to enhance opportunities and to reduce threats to project objectives.
Planned Value (PV). The authorized budget assigned to the scheduled work to be accomplished for a schedule activity or work breakdown structure com- ponent. Also referred to as the budgeted cost of work scheduled (BCWS).
Planning Package. A work breakdown structure component below the con- trol account with known work content but without detailed schedule activi- ties. See also control account.
Planning Processes [Process Group]. Those processes performed to establish the total scope of the effort, define and refine the objectives, and develop the course of action required to attain those objectives.
Portfolio. A collection of projects or programs and other work that are grouped together to facilitate effective management of that work to meet strategic business objectives. The projects or programs of the portfolio may not necessarily be interdependent or directly related.
Portfolio Management [Technique]. The centralized management of one or more portfolios, which includes identifying, prioritizing, authorizing, man- aging, and controlling projects, programs, and other related work, to achieve specific strategic business objectives.
Practice. A specific type of professional or management activity that con- tributes to the execution of a process and that may employ one or more tech- niques and tools.
Precedence Diagramming Method (PDM) [Technique]. A schedule net- work diagramming technique in which schedule activities are represented by boxes (or nodes). Schedule activities are graphically linked by one or more logical relationships to show the sequence in which the activities are to be performed.
Precedence Relationship. The term used in the precedence diagramming method for a logical relationship. In current usage, however, precedence relationship, logical relationship, and dependency are widely used inter- changeably, regardless of the diagramming method used. See also logical relationship.
Predecessor Activity. The schedule activity that determines when the logi- cal successor activity can begin or end.
Preventive Action. A documented direction to perform an activity that can reduce the probability of negative consequences associated with project risks.
Probability and Impact Matrix [Tool]. A common way to determine whether a risk is considered low, moderate, or high by combining the two dimensions of a risk: its probability of occurrence and its impact on objec- tives if it occurs.
Procurement Documents [Output/Input]. The documents utilized in bid and proposal activities, which include the buyer ’s Invitation for Bid, Invitation for Negotiations, Request for Information, Request for Quotation, Request for Proposal, and seller ’s responses.
530 Glossary
Procurement Management Plan [Output/Input]. The document that describes how procurement processes from developing procurement docu- mentation through contract closure will be managed.
Product. An artifact that is produced, is quantifiable, and can be either an end item in itself or a component item. Additional words for products are material and goods. Contrast with result. See also deliverable.
Product Life Cycle. A collection of generally sequential, non-overlapping product phases whose name and number are determined by the manu- facturing and control needs of the organization. The last product life cycle phase for a product is generally the product’s retirement. Generally, a proj- ect life cycle is contained within one or more product life cycles.
Product Scope. The features and functions that characterize a product, service, or result.
Product Scope Description. The documented narrative description of the product scope.
Program. A group of related projects managed in a coordinated way to obtain benefits and control not available from managing them individually. Programs may include elements of related work outside of the scope of the discrete projects in the program.
Program Evaluation and Review Technique (PERT). A technique for estimating that applies a weighted average of optimistic, pessimistic, and most likely estimates when there is uncertainty with the individual activity estimates.
Program Management. The centralized coordinated management of a pro- gram to achieve the program’s strategic objectives and benefits.
Progressive Elaboration [Technique]. Continuously improving and detail- ing a plan as more detailed and specific information and more accurate es- timates become available as the project progresses, and thereby producing more accurate and complete plans that result from the successive iterations of the planning process.
Project. A temporary endeavor undertaken to create a unique product, ser- vice, or result.
Project Calendar. A calendar of working days or shifts that establishes those dates on which schedule activities are worked and nonworking days that de- termine those dates on which schedule activities are idle. Typically defines holidays, weekends, and shift hours. See also resource calendar.
Project Charter [Output/Input]. A document issued by the project ini- tiator or sponsor that formally authorizes the existence of a project, and provides the project manager with the authority to apply organizational resources to project activities.
Project Communications Management [Knowledge Area]. The processes required to ensure timely and appropriate generation, collection, distribu- tion, storage, retrieval, and ultimate disposition of project information.
Project Cost Management [Knowledge Area]. The processes involved in estimating, budgeting, and controlling costs so that the project can be com- pleted within the approved budget.
Project Human Resource Management [Knowledge Area]. The processes that organize and manage the project team.
Project Initiation. Launching a process that can result in the authorization of a new project.
Project Integration Management [Knowledge Area]. The processes and ac- tivities needed to identify, define, combine, unify, and coordinate the various processes and project management activities within the Project Management Process Groups.
Project Life Cycle. A collection of generally sequential project phases whose name and number are determined by the control needs of the organization or organizations involved in the project. A life cycle can be documented with a methodology.
Project Management. The application of knowledge, skills, tools, and tech- niques to project activities to meet the project requirements.
Project Management Body of Knowledge. An inclusive term that de- scribes the sum of knowledge within the profession of project management. As with other professions, such as law, medicine, and accounting, the body of knowledge rests with the practitioners and academics that apply and ad- vance it. The complete project management body of knowledge includes proven traditional practices that are widely applied and innovative prac- tices that are emerging in the profession. The body of knowledge includes both published and unpublished materials. This body of knowledge is
constantly evolving. PMI’s PMBOK® Guide identifies that subset of the proj- ect management body of knowledge that is generally recognized as good practice.
Project Management Information System (PMIS) [Tool]. An informa- tion system consisting of the tools and techniques used to gather, integrate, and disseminate the outputs of project management processes. It is used to support all aspects of the project from initiating through closing, and can include both manual and automated systems.
Project Management Knowledge Area. An identified area of project man- agement defined by its knowledge requirements and described in terms of its component processes, practices, inputs, outputs, tools, and techniques.
Project Management Office (PMO). An organizational body or entity assigned various responsibilities related to the centralized and coordinated management of those projects under its domain. The responsibilities of a PMO can range from providing project management support functions to actually being responsible for the direct management of a project.
Project Management Plan [Output/Input]. A formal, approved document that defines how the project is executed, monitored, and controlled. It may be a summary or detailed and may be composed of one or more subsidiary management plans and other planning documents.
Project Management Process Group. A logical grouping of project manage- ment inputs, tools and techniques, and outputs. The Project Management Process Groups include initiating processes, planning processes, executing processes, monitoring and controlling processes, and closing processes. Project Management Process Groups are not project phases.
Project Management System [Tool]. The aggregation of the processes, tools, techniques, methodologies, resources, and procedures to manage a project.
Project Management Team. The members of the project team who are directly involved in project management activities. On some smaller proj- ects, the project management team may include virtually all of the project team members.
Project Manager (PM). The person assigned by the performing organiza- tion to achieve the project objectives.
Project Organization Chart [Output/Input]. A document that graphically depicts the project team members and their interrelationships for a specific project.
Project Phase. A collection of logically related project activities, usually cul- minating in the completion of a major deliverable. Project phases are mainly completed sequentially, but can overlap in some project situations. A project phase is a component of a project life cycle. A project phase is not a Project Management Process Group.
Project Procurement Management [Knowledge Area]. The processes to purchase or acquire the products, services, or results needed from outside the project team to perform the work.
Project Quality Management [Knowledge Area]. The processes and activi- ties of the performing organization that determine quality policies, objec- tives, and responsibilities so that the project will satisfy the needs for which it was undertaken.
Project Risk Management [Knowledge Area]. The processes concerned with conducting risk management planning, identification, analysis, responses, and monitoring and control on a project.
Project Schedule [Output/Input]. The planned dates for performing sched- ule activities and the planned dates for meeting schedule milestones.
Project Schedule Network Diagram [Output/Input]. Any schematic display of the logical relationships among the project schedule activities. Always drawn from left to right to reflect project work chronology.
Project Scope. The work that must be performed to deliver a product, service, or result with the specified features and functions.
Project Scope Management [Knowledge Area]. The processes required to ensure that the project includes all the work required, and only the work required, to complete the project successfully.
Project Scope Statement [Output/Input]. The narrative description of the project scope, including major deliverables, project assumptions, project constraints, and a description of work, that provides a documented basis for making future project decisions and for confirming or developing a common understanding of project scope among the stakeholders.
Project Team Directory. A documented list of project team members, their project roles, and communication information.
Glossary 531
Project Time Management [Knowledge Area]. The processes required to manage the timely completion of a project.
Projectized Organization. Any organizational structure in which the proj- ect manager has full authority to assign priorities, apply resources, and di- rect the work of persons assigned to the project.
Quality. The degree to which a set of inherent characteristics fulfills requirements.
Quality Management Plan [Output/Input]. Describes how the project management team will implement the performing organization’s qual- ity policy. The quality management plan is a component or a subsidiary plan of the project management plan.
Regulation. Requirements imposed by a governmental body. These re- quirements can establish product, process, or service characteristics, includ- ing applicable administrative provisions that have government-mandated compliance.
Report Performance [Process]. The process of collecting and distributing performance information, including status reports, progress measurements, and forecasts.
Request for Information (RFI). A type of procurement document whereby the buyer requests a potential seller to provide various pieces of information related to a product or service or seller capability.
Request for Proposal (RFP). A type of procurement document used to request proposals from prospective sellers of products or services. In some application areas, it may have a narrower or more specific meaning.
Request for Quotation (RFQ). A type of procurement document used to request price quotations from prospective sellers of common or standard products or services. Sometimes used in place of request for proposal, and in some application areas it may have a narrower or more specific meaning.
Requested Change [Output/Input]. A formally documented change re- quest that is submitted for approval to the integrated change control process.
Requirement. A condition or capability that must be met or possessed by a system, product, service, result, or component to satisfy a contract, standard, specification, or other formally imposed document. Requirements include the quantified and documented needs, wants, and expectations of the spon- sor, customer, and other stakeholders.
Requirements Traceability Matrix. A table that links requirements to their origin and traces them throughout the project life cycle.
Reserve. A provision in the project management plan to mitigate cost and/ or schedule risk. Often used with a modifier (e.g., management reserve, con- tingency reserve) to provide further detail on what types of risk are meant to be mitigated.
Reserve Analysis [Technique]. An analytical technique to determine the es- sential features and relationships of components in the project management plan to establish a reserve for the schedule duration, budget, estimated cost, or funds for a project.
Residual Risk. A risk that remains after risk responses have been implemented.
Resource. Skilled human resources (specific disciplines either individually or in crews or teams), equipment, services, supplies, commodities, material, budgets, or funds.
Resource Breakdown Structure. A hierarchical structure of resources by re- source category and resource type used in resource leveling schedules and to develop resource-limited schedules, and which may be used to identify and analyze project human resource assignments.
Resource Calendar. A calendar of working and nonworking days that determines those dates on which each specific resource is idle or can be active. Typically defines resource-specific holidays and resource availabil- ity periods. See also project calendar.
Resource Histogram. A bar chart showing the amount of time that a resource is scheduled to work over a series of time periods. Resource availability may be depicted as a line for comparison purposes. Contrasting bars may show actual amounts of resources used as the project progresses.
Resource Leveling [Technique]. Any form of schedule network analysis in which scheduling decisions (start and finish dates) are driven by resource constraints (e.g., limited resource availability or difficult-to-manage changes in resource availability levels).
Responsibility Assignment Matrix (RAM) [Tool]. A structure that relates the project organizational breakdown structure to the work breakdown
structure to help ensure that each component of the project’s scope of work is assigned to a person or team.
Result. An output from performing project management processes and activities. Results include outcomes (e.g., integrated systems, revised pro- cess, restructured organization, tests, trained personnel, etc.) and docu- ments (e.g., policies, plans, studies, procedures, specifications, reports, etc.). Contrast with product. See also deliverable.
Rework. Action taken to bring a defective or nonconforming component into compliance with requirements or specifications.
Risk. An uncertain event or condition that, if it occurs, has a positive or negative effect on a project’s objectives.
Risk Acceptance [Technique]. A risk response planning technique that indicates that the project team has decided not to change the project man- agement plan to deal with a risk, or is unable to identify any other suitable response strategy.
Risk Avoidance [Technique]. A risk response planning technique for a threat that creates changes to the project management plan that is meant to either eliminate the risk or to protect the project objectives from its impact.
Risk Breakdown Structure (RBS) [Tool]. A hierarchically organized depic- tion of the identified project risks arranged by risk category and subcategory that identifies the various areas and causes of potential risks. The risk break- down structure is often tailored to specific project types.
Risk Category. A group of potential causes of risk. Risk causes may be grouped into categories such as technical, external, organizational, environ- mental, or project management. A category may include subcategories such as technical maturity, weather, or aggressive estimating.
Risk Management Plan [Output/Input]. The document describing how project risk management will be structured and performed on the project. It is contained in or is a subsidiary plan of the project management plan. Information in the risk management plan varies by application area and project size. The risk management plan is different from the risk register that contains the list of project risks, the results of risk analysis, and the risk responses.
Risk Mitigation [Technique]. A risk response planning technique associ- ated with threats that seeks to reduce the probability of occurrence or impact of a risk to below an acceptable threshold.
Risk Register [Output/Input]. The document containing the results of the qualitative risk analysis, quantitative risk analysis, and risk response planning. The risk register details all identified risks, including description, category, cause, probability of occurring, impact(s) on objectives, proposed responses, owners, and current status.
Risk Tolerance. The degree, amount, or volume of risk that an organization or individual will withstand.
Risk Transference [Technique]. A risk response planning technique that shifts the impact of a threat to a third party, together with ownership of the response.
Role. A defined function to be performed by a project team member, such as testing, filing, inspecting, coding.
Rolling Wave Planning [Technique]. A form of progressive elaboration plan- ning where the work to be accomplished in the near term is planned in de- tail at a low level of the work breakdown structure, while the work far in the future is planned at a relatively high level of the work breakdown structure, but the detailed planning of the work to be performed within another one or two periods in the near future is done as work is being completed during the current period.
Root Cause Analysis [Technique]. An analytical technique used to determine the basic underlying reason that causes a variance or a defect or a risk. A root cause may underlie more than one variance or defect or risk.
Schedule. See project schedule and see also schedule model.
Schedule Baseline. A specific version of the schedule model used to com- pare actual results to the plan to determine if preventive or corrective action is needed to meet the project objectives.
Schedule Compression [Technique]. Shortening the project schedule dura- tion without reducing the project scope. See also crashing and fast tracking.
Schedule Management Plan [Output/Input]. The document that estab- lishes criteria and the activities for developing and controlling the project schedule. It is contained in, or is a subsidiary plan of, the project manage- ment plan.
532 Glossary
Schedule Model [Tool]. A model used in conjunction with manual methods or project management software to perform schedule network analysis to generate the project schedule for use in managing the execution of a project. See also project schedule.
Schedule Network Analysis [Technique]. The technique of identifying early and late start dates, as well as early and late finish dates, for the un- completed portions of project schedule activities. See also critical path method, critical chain method, and resource leveling.
Schedule Performance Index (SPI). A measure of schedule efficiency on a project. It is the ratio of earned value (EV) to planned value (PV). The SPI = EV divided by PV.
Schedule Variance (SV). A measure of schedule performance on a project. It is the difference between the earned value (EV) and the planned value (PV). SV = EV minus PV.
Scheduled Finish Date (SF). The point in time that work was scheduled to finish on a schedule activity. The scheduled finish date is normally within the range of dates delimited by the early finish date and the late finish date. It may reflect resource leveling of scarce resources. Sometimes called planned finish date.
Scheduled Start Date (SS). The point in time that work was scheduled to start on a schedule activity. The scheduled start date is normally within the range of dates delimited by the early start date and the late start date. It may reflect resource leveling of scarce resources. Sometimes called planned start date.
Scope. The sum of the products, services, and results to be provided as a project. See also project scope and product scope.
Scope Baseline. An approved specific version of the detailed scope state- ment, work breakdown structure (WBS), and its associated WBS dictionary.
Scope Change. Any change to the project scope. A scope change almost always requires an adjustment to the project cost or schedule.
Scope Creep. Adding features and functionality (project scope) without addressing the effects on time, costs, and resources, or without customer approval.
Scope Management Plan [Output/Input]. The document that describes how the project scope will be defined, developed, and verified and how the work breakdown structure will be created and defined, and that provides guidance on how the project scope will be managed and controlled by the project management team. It is contained in or is a subsidiary plan of the project management plan.
S-Curve. Graphic display of cumulative costs, labor hours, percentage of work, or other quantities, plotted against time. Used to depict planned value, earned value, and actual cost of project work. The name derives from the S-like shape of the curve (flatter at the beginning and end, steeper in the middle) produced on a project that starts slowly, accelerates, and then tails off. Also a term used to express the cumulative likelihood distribution that is a result of a simulation, a tool of quantitative risk analysis.
Secondary Risk. A risk that arises as a direct result of implementing a risk response.
Seller. A provider or supplier of products, services, or results to an organization.
Sensitivity Analysis. A quantitative risk analysis and modeling technique used to help determine which risks have the most potential impact on the project. It examines the extent to which the uncertainty of each project element affects the objective being examined when all other uncertain ele- ments are held at their baseline values. The typical display of results is in the form of a tornado diagram.
Sequence Activities [Process]. The process of identifying and documenting relationships among the project activities.
Simulation. A simulation uses a project model that translates the uncer- tainties specified at a detailed level into their potential impact on objectives that are expressed at the level of the total project. Project simulations use computer models and estimates of risk, usually expressed as a probability distribution of possible costs or durations at a detailed work level, and are typically performed using Monte Carlo analysis.
Slack. Also called float. See total float and free float.
Special Cause. A source of variation that is not inherent in the system, is not predictable, and is intermittent. It can be assigned to a defect in the system. On a control chart, points beyond the control limits, or non-random patterns
within the control limits, indicate it. Also referred to as assignable cause. Contrast with common cause.
Specification. A document that specifies, in a complete, precise, verifiable manner, the requirements, design, behavior, or other characteristics of a sys- tem, component, product, result, or service and, often, the procedures for determining whether these provisions have been satisfied. Examples are re- quirement specification, design specification, product specification, and test specification.
Specification Limits. The area, on either side of the centerline, or mean, of data plotted on a control chart that meets the customer ’s requirements for a product or service. This area may be greater than or less than the area defined by the control limits. See also control limits.
Sponsor. The person or group that provides the financial resources, in cash or in kind, for the project.
Staffing Management Plan. The document that describes when and how human resource requirements will be met. It is contained in, or is a subsid- iary plan of, the human resource plan.
Stakeholder. Person or organization (e.g., customer, sponsor, performing organization, or the public) that is actively involved in the project, or whose interests may be positively or negatively affected by execution or completion of the project. A stakeholder may also exert influence over the project and its deliverables.
Standard. A document that provides, for common and repeated use, rules, guidelines, or characteristics for activities or their results, aimed at the achievement of the optimum degree of order in a given context.
Start Date. A point in time associated with a schedule activity’s start, usu- ally qualified by one of the following: actual, planned, estimated, sched- uled, early, late, target, baseline, or current.
Start-to-Finish (SF). The logical relationship where completion of the suc- cessor schedule activity is dependent upon the initiation of the predecessor schedule activity. See also logical relationship.
Start-to-Start (SS). The logical relationship where initiation of the work of the successor schedule activity depends upon the initiation of the work of the predecessor schedule activity. See also logical relationship.
Statement of Work (SOW). A narrative description of products, services, or results to be supplied.
Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analysis. This information-gathering technique examines the project from the perspective of each project’s strengths, weaknesses, opportunities, and threats to increase the breadth of the risks considered by risk management.
Subnetwork. A subdivision (fragment) of a project schedule network dia- gram, usually representing a subproject or a work package. Often used to illustrate or study some potential or proposed schedule condition, such as changes in preferential schedule logic or project scope.
Subphase. A subdivision of a phase.
Subproject. A smaller portion of the overall project created when a project is subdivided into more manageable components or pieces.
Successor Activity. The schedule activity that follows a predecessor activ- ity, as determined by their logical relationship.
Summary Activity. A group of related schedule activities aggregated at some summary level, and displayed/reported as a single activity at that summary level. See also subproject and subnetwork.
Technical Performance Measurement [Technique]. A performance mea- surement technique that compares technical accomplishments during project execution to the project management plan’s schedule of planned technical achievements. It may use key technical parameters of the product produced by the project as a quality metric. The achieved metric values are part of the work performance information.
Technique. A defined systematic procedure employed by a human resource to perform an activity to produce a product or result or deliver a service, and that may employ one or more tools.
Template. A partially complete document in a predefined format that pro- vides a defined structure for collecting, organizing, and presenting informa- tion and data.
Threat. A condition or situation unfavorable to the project, a negative set of circumstances, a negative set of events, a risk that will have a negative
Glossary 533
impact on a project objective if it occurs, or a possibility for negative changes. Contrast with opportunity.
Three-Point Estimate [Technique]. An analytical technique that uses three cost or duration estimates to represent the optimistic, most likely, and pes- simistic scenarios. This technique is applied to improve the accuracy of the estimates of cost or duration when the underlying activity or cost compo- nent is uncertain.
Threshold. A cost, time, quality, technical, or resource value used as a pa- rameter, and which may be included in product specifications. Crossing the threshold should trigger some action, such as generating an exception report.
Time and Material (T&M) Contract. A type of contract that is a hybrid con- tractual arrangement containing aspects of both cost-reimbursable and fixed- price contracts. Time and material contracts resemble cost-reimbursable type arrangements in that they have no definitive end, because the full value of the arrangement is not defined at the time of the award. Thus, time and material contracts can grow in contract value as if they were cost-reimbursable-type ar- rangements. Conversely, time and material arrangements can also resemble fixed-price arrangements. For example, the unit rates are preset by the buyer and seller, when both parties agree on the rates for the category of senior engineers.
Time-Scaled Schedule Network Diagram [Tool]. Any project schedule network diagram drawn in such a way that the positioning and length of the schedule activity represents its duration. Essentially, it is a bar chart that includes schedule network logic.
To-Complete-Performance-Index (TCPI). The calculated projection of cost performance that must be achieved on the remaining work to meet a speci- fied management goal, such as the budget at completion (BAC) or the esti- mate at completion (EAC). It is the ratio of “remaining work” to the “funds remaining.”
Tool. Something tangible, such as a template or software program, used in performing an activity to produce a product or result.
Total Float. The total amount of time that a schedule activity may be delayed from its early start date without delaying the project finish date, or violating a schedule constraint. Calculated using the critical path method technique and determining the difference between the early finish dates and late finish dates. See also free float.
Trend Analysis [Technique]. An analytical technique that uses mathematical models to forecast future outcomes based on historical results. It is a method of determining the variance from a baseline of a budget, cost, schedule, or scope parameter by using prior progress reporting periods’ data and projecting how much that parameter’s variance from baseline might be at some future point in the project if no changes are made in executing the project.
Triggers. Indications that a risk has occurred or is about to occur. Triggers may be discovered in the risk identification process and watched in the risk monitoring and control process. Triggers are sometimes called risk symp- toms or warning signs.
Validation. The assurance that a product, service, or system meets the needs of the customer and other identified stakeholders. It often involves acceptance and suitability with external customers. Contrast with verification.
Value Engineering. An approach used to optimize project life cycle costs, save time, increase profits, improve quality, expand market share, solve problems, and/or use resources more effectively.
Variance. A quantifiable deviation, departure, or divergence away from a known baseline or expected value.
Variance Analysis [Technique]. A method for resolving the total variance in the set of scope, cost, and schedule variables into specific component vari- ances that are associated with defined factors affecting the scope, cost, and schedule variables.
Verification. The evaluation of whether or not a product, service, or system complies with a regulation, requirement, specification, or imposed condition. It is often an internal process. Contrast with validation.
Verify Scope [Process]. The process of formalizing acceptance of the com- pleted project deliverables.
Virtual Team. A group of persons with a shared objective who fulfill their roles with little or no time spent meeting face to face. Various forms of tech- nology are often used to facilitate communication among team members. Virtual teams can be composed of persons separated by great distances.
Voice of the Customer. A planning technique used to provide products, services, and results that truly reflect customer requirements by translating those customer requirements into the appropriate technical requirements for each phase of project product development.
Work Authorization. A permission and direction, typically written, to begin work on a specific schedule activity or work package or control ac- count. It is a method for sanctioning project work to ensure that the work is done by the identified organization, at the right time, and in the proper sequence.
Work Authorization System [Tool]. A subsystem of the overall project management system. It is a collection of formal documented procedures that defines how project work will be authorized (committed) to ensure that the work is done by the identified organization, at the right time, and in the proper sequence. It includes the steps, documents, tracking system, and defined approval levels needed to issue work authorizations.
Work Breakdown Structure (WBS) [Output/Input]. A deliverable-oriented hierarchical decomposition of the work to be executed by the project team to accomplish the project objectives and create the required deliverables. It organizes and defines the total scope of the project.
Work Breakdown Structure Component. An entry in the work breakdown structure that can be at any level.
Work Breakdown Structure Dictionary [Output/Input]. A document that describes each component in the work breakdown structure (WBS). For each WBS component, the WBS dictionary includes a brief definition of the scope or statement of work, defined deliverable(s), a list of associated activities, and a list of milestones. Other information may include responsible organization, start and end dates, resources required, a cost estimate, charge number, con- tract information, quality requirements, and technical references to facilitate performance of the work.
Work Package. A deliverable or project work component at the lowest level of each branch of the work breakdown structure. See also control account.
Work Performance Information [Output/Input]. Information and data on the status of the project schedule activities being performed to accomplish the project work, collected as part of the direct and manage project execu- tion processes. Information includes status of deliverables; implementation status for change requests, corrective actions, preventive actions, and defect repairs; forecasted estimates to complete; reported percent of work physi- cally completed; achieved value of technical performance measures; start and finish dates of schedule activities.
Workaround [Technique]. A response to a negative risk that has occurred. Distinguished from contingency plan in that a workaround is not planned in advance of the occurrence of the risk event.
Company Index
Software Engineering Institute (SEI), 21
South African Airways, 247 Special Inspector General for Iraq
Reconstruction (SIGIR), 9 Standish Group International, 8,
270 SteelFabrik, Inc. (SFI), 219 SunTrust, 230 Sylvania, 79
T Taxpayers for Common Sense, 177,
289 Taylor Made, 137 Tesla Motors, 37–38 Texas Instruments, 62, 368 3M, 10, 40, 77 Titleist, 137 Toshiba, 44 Total, 297 Trust and Lucent
Technologies, 227
U UCLA, 198 United Technologies Corporation,
67, 98 University of Calgary, 202n18 University of Manchester, 481 University of Pittsburgh, 15 U.S. Air Force, 440n2 U.S. Army, 132, 237, 251, 440n2, 485 U.S. Congress, 177, 464 U.S. Customs and Border
Protection, 172 U.S. Department for Work and
Pensions, 8 U.S. Department of Defense (DoD),
150, 176, 177, 440n2 U.S. Department of Energy, 134,
134n28, 464 U.S. Department of Homeland
Security (DHS), 172 U.S. Department of Civil
Engineering, 202n18 U.S. House of Representatives,
134n28 U.S. Marines, 61, 176–177, 273, 418,
420, 500 U.S. Navy, 32, 168, 177, 273, 302,
440n2, 500–501 U.S. Nuclear Regulatory
Commission (NRC), 15, 478
V Volkswagen, 37
W Walt Disney World Resort, 31 Waste Management, 492,
493n25 Wells Fargo, 230 Westinghouse Electric Company,
15–16 Weyerhaeuser, 77 Widgets ’R Us (WRU), 70 World Bank, 174 WorldCom, 62 World Trade Center, 172
x Xerox Corporation, 62, 68 Xinhua, 240
a Accident Fund Insurance Co. of
America, 59 Adelphia Cable Company, 62 Advanced Network &
Services, 204 Airbus, 50, 68, 228, 235 Air France, 246 Air India, 467 All Nippon Airlines, 466 Amazon, 8 AMEC Corporation, 63 Apple Computer Corporation, 4, 6,
7–8, 10, 69, 199, 379, 480
B Bank of America, 230 Bayer Corporation, 100 Bechtel Corporation, 10, 62, 135, 213,
290, 465 Ben and Jerry’s Ice Cream, 63 Blanque Cheque Construction
(BCC), 360 Boeing Corporation, 4, 20, 50, 68,
113, 168, 172–173, 184n25, 228, 235, 246, 263, 273, 465–466, 475n18
Booz-Allen Hamilton, 302 British Broadcasting Corporation
(BBC), 10 British Overseas Airways
Corporation (BOAC), 246 Building Contractors of Toledo
(BCT), 219–220
C California High-Speed Rail
Authority (CHSRA), 173–174
Calloway, 137 Carnegie Mellon University, 21,
35n33 Center for Business Practices, 21,
114n21 Chartered Institute of Building,
329n9 Chevrolet, 6 Chrysler, 49, 167, 377 Ciampino Airport, 247 Civil Aviation Board (CAB), 247 Cleveland, 137 Columbus Instruments, Inc. (CIC),
215–216 Computer Sciences Corporation
(CSC), 132–133 ConocoPhillips, 297 Construx Software, 270 Cover Oregon, 146 Crown Corporation, 110
d Dallas Cowboys, 146 Data General Corporation, 49, 104 Defense Logistics Agency, 475n2 de Havilland Aircraft Company,
245–246, 247 Denver International Airport, 273 Development Center of
Excellence, 385 DHL Express, 999 Disney, 7, 31–32 Dotcom.com, 175–176 Duke Energy, 478–479 DuPont, Inc., 302
e Electronic Arts, 64 Eli Lilly Corporation, 385 EMC Corporation, 45, 104 Eni, 297 Enron, 62 Ericsson, 4 Ernst & Young, 134 Escambia High, 147 ESI International, 21, 35n33 European Association for Project
Management, 241 European Space Agency (ESA), 235 Exxon Chemical, 77 Exxon Mobil, 297
F Fallujah Police, 419 Federal Geographic Data
Committee, 150 Federal Highway Administration, 290 Federal Reserve, 273 Federal Transit Administration
(FTA), 498 Fédération Internationale de
Football Association (FIFA), 64 Fermi Laboratory, 464 Financial Services Group (FSG), 132 Fluor-Daniel Corporation, 20, 62 Freefield Memorial Hospital, 148 Freefield Public Library, 148
G General Dynamics Corporation,
176, 177 General Electric Company, 4, 10, 61,
63, 67, 97–98, 117, 131, 227 George Washington University,
75n27 Geotec Boyles Brothers, 31 Gillette, 104 Goodrich Corporation, 228 Google, 61 Grace Hospital, 128
H Hamelin Hospital, 30 Hoechst Marion Roussel, 77, 84 Honda, 104 Honeywell, 368
I IBM, 69, 343 Infrastructure Management
Group, 174 Institute for Operations Research
and the Management Sciences, 200
Institution of Chemical Engineers, 294n19
Intel, 44 International Function Point Users
Group, 272n18 Iraqi Army, 419
J Jaguar, 224 Johnson & Rogers Software
Engineering, 217–218 JPMorgan Chase, 230
K Keflavik Paper Company, 111–112 Kimble College, 463
L Layne Christensen Company, 32 Lilly Research Labs, 385 Lockheed Corporation, 55,
294n11, 302 Logan Airport, 288 Lucent Technologies, 227, 368
m Macintosh, 8, 61 Martin Marietta, 465 Maryland State Department of
Health, 148 Massachusetts Turnpike Authority,
288, 289 McKinsey Group, 270 MegaTech, Inc., 29–30, 285 META Group, 8 Microsoft, 10, 26, 131, 303, 306,
404, 405 Military College of South Carolina,
418 Mobil Chemical, 77 Modern Continental, 289
n National Aeronautics and Space
Administration (NASA), 32, 134 National Audit Office, 12 National Research Council, 464 New England Patriots, 289 Nike, 137 Nissan, 37 Northrop Grumman, 451–452 Nova Western, Inc., 112–113
o Occupational Safety and Health
Administration (OSHA), 74 Oracle, 4, 26, 41, 145–146 Oxford University, 270
p Palo Alto Research Center (PARC),
62, 68–69 Parson Brinckerhoff, 290 Pentagon, 9, 176, 177, 178 Pfizer, 101, 103 PING, 137 Pitney-Bowes Credit Corporation
(PBCC), 61 Pratt & Whitney Jet Engines,
67, 98 Project Management Association, 5,
84n7, 99n24, 101n26 Project Management Institute (PMI),
5, 20, 26, 98, 225, 300, 441 Public Works Administration, 249 Pureswing Golf, Inc., 137
R Ramstein Products, 397 Rauma Corporation, 10, 230 Rolls-Royce plc, 338, 480 Royal Bank of Canada, 77 Rubbermaid Corporation, 40, 78, 103
S Samsung, 10, 103, 341 SAP Corporation, 81, 82–83, 88, 492 Science Applications International
Corporation (SAIC), 432–433 Shell, 297 Siemens, 10–11, 77
534
535
Name INdex
a Aalto, T., 84n7 Ackerman, S., 178n27 Adams, D., 333n1 Adams, J. R., 202n18, 204n24 Adams, L. L., 202n18 Alexander, R. C., 68n38 Allen, D. C., 308n6 Amiel, G., 298n1 Amor, J. P., 267n8, 267n10 Anderson, C. C., 54n23 Ansar, A., 287n25 Antonini, R., 454n6 Antonioni, D., 169n24 Artto, K. A., 84n7, 99n24, 228n3,
243n14 Atkinson, R., 18n29 Aubry, M., 57n28 Axe, D., 501n31 Ayas, K., 134n28, 134n29 Azani, H., 80n5
B Badiru, A. B., 267n8, 300n3 Baime, A. J., 104n30 Baker, B. N., 455n10 Balachandra, R., 488n17 Bard, J. F., 272n19, 354n5 Barndt, S. E., 204n24 Barnes, M., 272n18, 391n30 Beale, P., 16n25 Beck, D. R., 456n13 Beck, K., 377n10 Beedle, M., 373n6 Belout, A., 455n12 Bennett, S. C., 494n7 Bennis, W., 131n24 Bishop, T., 489n21 Bisson, P., 45n16 Blakeslee, T. R., 104n30 Blank, E. L., 203n20, 203n21 Blass, G., 467n18 Bloch, M., 270n15 Block, P., 118n5 Block, R., 45n15 Block, T., 57n28 Blomquist, T., 57n28 Blumberg, S., 270n15 Boctor, F. F., 407n6 Boddy, D., 5n6 Book, S. A., 474n19 Bose, M., 117n1 Brandon, Jr., D. M., 445n3, 450n3 Bredillet, C. N., 454n6 Brooks, F. P., Jr., 343n3 Brown, A., 41n9 Brown, S. L., 103n28 Bryde, D., 128n19 Buchanan, D. A., 5n6 Budd, C. S., 390n25 Budzier, A., 270n15, 287n25 Bughin, J., 45n16 Buhl, S., 275n21 Burgess, T. F., 167n19, 169n22
C Callahan, J., 300n3, 321n10 Cameron, D., 467n18 Camm, J. D., 267n8 Campanis, N. A., 308n6 Carland, J. C., 78n2 Carland, J. W., 78n2 Casey, W., 58n29 Castaneda, V., 175n26 Cavas, C. P., 501n31
Chae, K. C., 302n4 Chakrabarti, A. K., 130n21 Chan, M., 204n24 Chan, T., 96n17 Chapman, C. B., 228n3, 241n13 Chapman, R. J., 230n4 Charette, R., 433n1 Charvat, J. P., 483n9 Christensen, D. S., 276n22, 454n6 Chui, M., 45n16 Clark, C. E., 300n3 Clark, K. B., 55n25, 78n2 Clarke, N., 124n11 Clausing, J., 8n18 Cleland, D. I., 5n5, 6n11, 20n31,
40n3, 41n10, 42n12, 44n14, 81n6, 142n3, 153n11, 204n24, 259n3, 455n9, 455n10, 456n13, 479n2
Clements, J. P., 194n7 Cohan, P., 467n18 Collins, D., 433n1 Conlan, T., 12n23 Cooke-Davies, T., 18n29, 482n5,
482n6, 486n14 Cooper, K. G., 343n3 Cooper, M. J., 390n25 Cooper, R. G., 97n19, 98n23, 100n25,
104n29, 489n19 Copeland, L., 377n10 Coutu, D. L., 202n19 Cowley, S., 368n1 Crawford, J. K., 20n32, 21n33, 77n1 Crawford, J. R., 269n11 Cullen, J., 402n1 Curnow, R., 4n2
d Daft, R. L., 47n20, 54n23, 61n32,
122n7 Dai, C., 57n27 Dai, C. X., 57n28, 85n11 Daly, M., 8n18 Daniel, E., 12n23 Dastmachian, A., 125n13 David, F. R., 39n2 Davis, C., 248n16 Davis, T. E., 201n15 Dean, B. V., 488n16 Dehler, G. E., 488n18 Delisle, C., 202n18 DeLone, W. H., 19n28 DeMarco, T., 320n9 DeYoung-Currey, J., 308n6 Dignan, L., 493n25 Dillibabu, R., 272n18 DiMarco, N., 125n13 Ditlea, S., 204n23 Dixit, A. K., 96n17 Dobbs, R., 45n16 Dobson, M., 104n29 Done, K., 467n18 Dulewicz, V., 118n3 Dumaine, B., 403n2 Duncan, W. R., 153n10, 391n28 Duthiers, V., 4n2 Dvir, D., 17n27, 391n30 Dworatschek, S., 57n26 Dye, L. D., 98n21
e Edgett, S. J., 100n25, 104n29 Edwards, J., 368n1 Eidsmoe, N., 57n28 Einsiedel, A. A., 125n14 Eisenhardt, K. M., 103n28
Eksioglu, S. D., 380n17 Elmaghraby, S. E., 300n3 Elmes, M., 60n31 Elton, J., 98n22, 379n14, 391n29 Emam, K. E., 390n26 Emsley, M., 320n9 Englund, R. L., 59n30 Engwall, M., 55n24 Enthoven, A., 175n26 Evans, D. A., 88n14, 96n16 Evans, J. R., 267n8
F Faganson, Z., 333n1 Fagerhaug, T., 202n18 Fazar, W., 300n3 Feickert, A., 178n27 Felan, J., 388n22 Fendley, L. G., 407n6, 407n7 Field, M., 5n8, 417n8 Field, T., 493n25 Fields, M. A., 267n8 Fisher, D., 455n10 Fisher, R., 46n17, 210n34, 211n35,
211n36, 213n37 Fleming, M. M. K., 54n23 Fleming, Q., 59n30, 440n2 Flyvbjerg, B., 258n1, 270n15, 275n21,
287n25 Ford, R. C., 54n23 Foreman, E. H., 86n12 Foti, R., 20n32, 77n1 Frame, J. D., 5n7, 46n18¸ 57n28,
168n21, 201n16, 484n11, 484n12, 489n20, 494n28
Francis, D., 9n20 Freeman, M., 16n25
G Galbraith, J. R., 200n14 Gale, S., 58n29 Gallagher, C., 302n4 Garbuio, M., 275n21 Gareis, R., 20n32 Garrahan, M., 175n26 Gauvreau, C., 455n12 Geere, D., 258n1 Geoghegan, L., 118n3 Gersick, C., 198n11 Gido, J., 194n7 Gilbreath, Robert D., 5n5 Globerson, S., 163n15, 272n19, 354n5 Gobeli, D. H., 50n22, 55n24, 57n26 Goldman, D., 368n1 Goldratt, E., 378n12, 379n14, 387n21 Goleman, D., 124n11 Gong, D., 300n3, 302n4 Goodson, J. R., 125n13 Gordon, J. A., 276n22, 404n4 Gousty, Y., 80n5 Govan, F., 248n16 Govekar, M., 118n3 Gower, P., 225n1 Goyal, S. K., 272n19 Grae, K., 193n5 Graham, R. J., 7n13, 59n30 Grant, K. P., 20n30 Graves, R., 231n9 Gray, C. F., 9n21, 57n26, 57n27,
279n24, 302n5, 353n4, 420n9 Gray, V., 388n22 Green, S. G., 192n3, 488n18 Grindley, W., 175n26 Gross, S., 433n1 Grundy, T., 46n19
H Hackbarth, G., 241n13 Hamburger, D., 272n19, 479n2,
490n23, 496n29 Hamburger, D. H., 236n11 Hannon, E., 127n16 Hansford, M., 117n1 Hartman, F. T., 132n26, 193n5, 193n6 Hatfield, M. A., 440n2 Hauschildt, J., 125n15 Hayward, S., 103n27 Heiser, J., 269n12 Henderson, B., 479n1 Hennelly, B., 433n1 Hewlett, S., 12n23 Hill, J., 308n6 Hillier, B., 64n36 Hillson, D., 40n4, 231n7, 231n8 Hobbs, B., 57n28 Hodge, N., 178n27 Hoegl, M., 192n3 Hoel, K., 382n19 Hoffman, E. J., 134n29 Holm, M. S., 275n21 Horner, R. M. W., 320n9 Houser, H. F., 125n13 Howell, G., 340n2 Huchzermeier, W., 96n17 Huemann, M., 20n32 Hugsted, R., 300n3 Hulett, D., 302n4, 340n2 Hull, S., 247n15 Humphrey, W. S., 21n33 Hunger, J. D., 41n8
I Ibbs, C. W., 20n31, 20n32 Ive, G., 482n8
J Javidan, M., 125n13 Jeffery, R., 272n18 Jenkins, Robert N., 27n34 Jensen, M. A., 196n8, 196n9 Johnsson, J., 467n18 Johnston, K., 333n1 Jones, W., 146n1 Joy, O., 4n2 Judy, S., 479n1
K Kadefors, A., 193n5 Kahkonen, K., 228n3 Kahneman, D., 275n21 Kallqvist, A. S., 55n24 Kamburowski, J., 300n3, 302n4 Kanaracus, C., 493n25 Kapur, G. K., 8n16 Karlsen, J. T., 193n5 Keefer, D. L., 302n4 Keim, G., 125n15 Keller, L., 5n8, 417n8 Kelley, M., 9n20 Keown, A. J., 96n16 Kermeliotis, T., 4n2 Kerzner, H., 5n8, 21n33, 57n28,
59n30, 259n3 Kezbom, D., 134n29 Kharbanda, O. P., 68n38, 118n4,
250n18 Khorramshahgol, R., 80n5 Kidd, C., 167n19, 169n22 Kidd, J. B., 300n3 Kilmann, R. H., 61n34 Kim, S., 302n4
536 Name Index
Patch, J., 501n31 Patel, P., 188n1 Patrick, F., 382n19 Patterson, J. H., 417n8 Peck, W., 58n29 Penn, I., 479n1 Pennypacker, J. S., 20n30, 98n21 Pepitone, J., 368n1 Peters, T. A., 4n3, 128n18 Petersen, P., 404n4 Petri, K. L., 259n2, 261n5, 262n6 Petro, T., 452n5 Petroski, H., 10n22 Pettersen, N., 125n13 Petty, J. W., 96n16 Phillips, C. R., 302n4 Pindyck, R. S., 96n17 Piney, C., 392n32 Pinto, J. K., 8n15, 9n21, 20n31, 68n38,
84n8, 118n3, 118n4, 128n19, 130n20, 153n10, 192n4, 199n12, 250n18, 272n19, 376n9, 391n31, 455n12, 483n9, 486n13,
Pinto, M. B., 199n12, 486n13 Pondy, L., 205n26 Posner, B. Z., 118n3, 122n7, 125n12,
132n25, 204n24, 207n30 Prasad, J., 308n6 Prescott, J. E., 192n4, 199n12, 486n13 Pressman, R., 131n23 Pritchard, C. L., 21n33, 489n20 Purvis, R. L., 193n5, 407n6
Q Qiu, F., 96n17
R Raelin, J. A., 488n17 Ramirez-Marquez, J. E., 454n8 Ramnath, N. S., 127n16 Ramsey, M., 38n1 Randall, W., 454n8 Randolph, W. A., 54n23 Rathi, A., 258n1 Raz, T., 80n5, 382n19, 391n30,
403n3 Reginato, P. E., 20n31 Reilly, F. K., 88n15 Reina, P., 117n1 Reinen, J., 146n1 Render, B., 269n12 Richey, J., 173n25 Robinson, P. B., 440n2 Roe, J., 98n22, 379n14, 391n29 Rom, W. O., 380n17 Roseboom, J. H., 300n3 Ross, J., 65n37, 489n19 Rosser, B., 103n27 Rouhiainen, P., 9n21 Rowlings, J. E., 302n4 Royer, I., 130n22, 489n19 Ruiz, P., 454n6
S Saaty, T. L., 84n9, 86n12 Sandahl, D., 104n29 Sanders, P., 467n18 Sasieni, M. W., 302n4 Sauser, B. J., 454n8 Saxton, M. J., 61n34 Schaan, J., 354n5 Scheck, J., 298n1 Scheid, J., 230n6 Schein, E. H., 60n31 Schmidt, W. H., 205n25 Schon, D. A., 128n17 Schoner, B., 87n13 Schuerman, M., 499n30
Marrs, A., 45n16 Marsh, P., 494n26 Marshall, B., 382n19, 403n3 Marshall, R. A., 454n6 Martin, J. D., 96n16 Martin, M. G., 150n6 Martin, P., 230n5 Martinsuo, M., 84n7 Massaoud, M. J., 193n5 Matheson, D., 100n25 Matheson, J. E., 100n25 Mauborgne, R. A., 118n2 Mayhew, P., 493n24 McComb, S. A., 192n3 McConnell, S., 270n17 McCray, C. G., 407n6 McCray, G. E., 193n5, 407n6 McIntosh, J. O., 407n6 McKain, S., 17n26 McKinney, J., 454n6 McLean, E. R.19n28 Medcof, J. W., 125n15 Mendelow, A., 41n10 Menon, P., 490n22 Mepyans-Robinson, R., 147n3 Meredith, J. A., 50n21, 79n4, 96n18,
128n19, 159n14, 168n20, 261n4, 267n9, 276n22, 310n7, 405n5, 420n10, 422n11, 480n3, 480n4, , 481n9, 487n15
Merle, R., 178n27 Merrill, J., 385n20 Mersino, A., 489n19 Mian, S. A., 85n11 Milani, K., 452n5 Miller, G. J., 259n3 Millet, I., 8n15, 84n8, 85n10, 87n13 Mitchell, J., 175n26 Moder, J. J., 302n4 Mollick, E. R., 368n1 Mongalo, M. A., 302n4 Moore, D., 47n20 Moretton, B., 300n3, 321n10 Morris, P. W. G., 17n26, 455n9,
455n11 Morse, L. C., 407n6 Müller, R., 57n28, 125n13 Mulrine, A., 9n20 Mummolo, G., 302n4 Murphy, D. C., 455n10
N Navarre, C., 354n5 Needy, K. S., 259n2, 261n5, 262n6 Newbold, R. C., 380n17 Nicholas, J. M., 340n2 Nonaka, I., 371n3, 371n4 Noqicki, D., 454n8 Norris, G., 467n18
O Obradovitch, M. M., 154n12,
163n16 Oglesby, P., 340n2 Ogunbiyi, T., 4n2 Olson, D. L., 18n29 Onsrud, H. J., 130n20 Osborne, A., 117n1
P Padgett, T., 333n1 Palmer, T., 118n3 Panknin, S., 274n20 Parboteeah, K. P., 192n3 Parker, H., 340n2 Pascale, S., 78n2, 231n9 Pasztor, A., 467n18 Patanakul, P., 454n8
Kim, W. C., 118n2 Kimball, R. K., 147n3 King, W. R., 5n5, 41n10, 42n12, 81n6,
142n3, 153n11, 204n24, 259n3, 455n9, 455n10, 456n13, 479n2
Kinlaw, C. S., 134n29 Kinlaw, D. C., 134n29 Kirsner, S., 61n32 Kleinschmidt, E. J., 100n25, 489n19 Knoepfel, H., 57n26 Koppelman, J., 59n30, 440n2 Koru, A. G., 390n26 Koskela, L., 4n13 Kostner, J., 202n18 Kotoky, A., 467n18 Kouri, J., 173n25 Kouzes, J. M., 122n7, 125n12, 132n25 Krigsman, M., 173n25, 493n24 Krishnaiah, K., 272n18 Kumar, U., 489n20 Kumar, V., 489n20 Kwak, Y. H., 20n32
L Laartz, J., 270n15 Lai, K. -K., 96n17 Lakshman, N., 127n16 Lallanilla, M., 225n1 Lander, M. C., 193n5 Lane, D., 146n1 Lanier, J., 203n22 Larson, E. W., 9n21, 50n22, 55n24,
57n26, 57n27, 279n24, 302n5, 353n4, 420n9
Laufer, A., 148n5 Lavallo, D., 275n21 Lavold, G. D., 153n11 Leach, L. P., 368n2, 378n13, 382n19,
388n23, 388n24 Lederer, A. L., 308n6 Lee, J., 302n4 Lee, S. A., 343n3 Lehtonen, M., 101n26 Leigh, W., 193n5 Lemer, J., 467n18 Levene, H., 404n4 Levine, H. A., 236n11 Levy, F. K., 302n4 Levy, O., 17n27 Li, M. I., 343n3 Libertore, M. J., 308n6 Light, M., 103n27 Lipke, W. H., 454n7, 474n19 Lipowicz, A., 173n25 Loch, C. H., 96n17 Lock, D., 263n7, 458n15 Logue, A. C., 202n17 Longman, A., 104n29 Lorenz, C., 231n9 Louk, P., 259n3 Lovallo, D., 275n21 Low, G. C., 272n18 Lundin, R. A., 7n12 Lunn, D., 287n25
m MacLeod, K., 404n4 Magnaye, R., 454n8 Magnaye, R. B., 454n8 Maher, M., 276n23 Malanga, S., 499n30 Malcolm, D. G., 300n3 Manley, J. H., 457n14 Mantel, S. J., Jr., 50n21, 79n4, 96n18,
159n14, 168n20, 261n4, 267n9, 276n22, 310n7, 405n5, 420n10, 422n11, 480n3, 480n4, 481n9
Manyika, J., 45n16
Schwaber, K., 372n5, 373n6, 375n7
Scott, Jr., D. F., 96n16 Seddon, P. B.19n28 Selly, M., 86n12 Serpa, R., 61n34 Serrador, P., 376n9 Sersaud, A. N. S., 489n20 Severston, A., 175n26 Shachtman, N., 501n31 Shafer, S. M., 489n19 Shalal, A., 501n31 Shanahan, S., 417n8 Sharp, D., 501n31 Shenhar, A. J., 17n27, 134n31 Shepheard, C., 146n1 Sherif, M., 199n13 Sherman, E., 379n16 Sherman, J. D., 78n3 Shtub, A., 272n19, 354n5 Sigurdsen, A., 272n19 Silver, D., 133n27 Singletary, N., 440n2 Slevin, D. P., 20n31, 118n3, 123n9,
128n19, 130n22, 209n33, 455n12, 483n9
Smart, M., 499n30 Smith, D. K., 68n38 Smith, N. J., 272n19 Smith, P. G., 203n20, 203n21 Smith-Daniels, D. E., 300n3 Smith-Daniels, V., 300n3 Smith-Spark, L., 225n1 Smyth, H. J., 193n5 Soderholm, A., 7n12 Sohmen, Victor, 14n24 Souder, W. E., 78n3, 88n14, 96n16 Speir, W., 104n29 Spiller, P. T., 489n19 Spirer, H. F., 479n2, 490n23, 496n29 Staw, B. M., 65n37, 489n19 Stephanou, S. E., 154n12, 163n16 Stewart, A., 258n1 Stewart, T H., 4n4 Steyn, H., 379n15, 381n18, 392n32 Stuckenbruck, L. C., 148n5 Sutherland, J., 372n5, 375n7 Swanson, S., 127n16 Sweeting, J., 272n19
T Tadasina, S. K., 489n19 Takahashi, D., 64n36 Takeuchi, H., 371n3, 371n4 Talbot, B. F., 417n8 Talhouni, B. T., 320n9 Tate, K., 230n5 Taylor, A., 258n1 Taylor, S. G., 382n19 Teplitz, C. J., 267n8, 267n10 Teubal, M., 489n19 Thamhain, H. J., 131n23, 204n24,
205n27, 207n30 Thomas, K. W., 205n25, 205n26 Thomas, L. C., 308n6 Thompson, N. J., 193n5 Thoms, P., 118n3 Thorp, F., 146n1 Tjosvold, D., 202n17 Toney, F., 272n19 Trailer, J., 118n3 Troilo, L., 231n9 Tuchman, B. W., 196n8, 196n9 Tukel, O. I., 380n17 Tulip, A., 404n4 Turbit, N., 272n18 Turner, J. R., 125n13, 169n23,
482n7
Name Index 537
Woodworth, B. M., 407n6 Wright, J. N., 128n19
Y Yaffa, J., 258n1 Yasin, M. M., 123n10 Yeo, K. T., 96n17 Young, J., 258n1 Yourdon, E., 166n18 Yourker, R., 47n20 Yukl, G., 122n7, 122n8
Z Zalmenson, E., 391n27 Zhang, J., 96n17 Zimmerer, T. W., 123n10
W Waldron, R., 86n12 Waldron, T., 258n1 Ward, J., 12n23 Ward, S. C., 228n3,
241n13 Ware, J., 208n32 Warren, W., 175n26 Waters, K., 376n8 Weaver, P., 428n12 Weihrich, H., 40n4 Weikel, D., 175n26 Weiser, B., 433n1 Wells, W. G., 57n28 Welsh, M. A., 488n18 Westney, R. E., 146n2
Wheatley, M., 77n1 Wheelen, T. L., 41n8 Wheelwright, S. C., 55n25, 78n2 Whitehouse, G. E., 407n6 Wideman, R. M., 42n11, 134n31,
153n10, 225n2 Wiener, E., 41n9 Wiest, J. D., 302n4 Wilemon, D. L., 60n31, 204n24,
205n27, 207n30 Williams, S., 298n1 Williams, T. M., 243n14,
302n4 Willie, C. J., 407n6 Winch, G. M., 41n10 Womer, N. K., 267n8
U Umble, E., 388n22 Umble, M., 388n22 Ury, W., 46n17, 210n34, 211n35,
211n36, 213n37
V Valery, Paul, 2n1 Vandevoorde, S., 474n19 Vanhouckel, M., 474n19 Venkataraman, R., 272n19 Verdini, W. A., 302n4 Verma, V. K., 122n6, 189n2,
197n10, 205n28, 207n29, 208n31 Viswanathan, B., 231n8 Vrijhoef, R., 44n13
Subject Index
A Acceleration of project, 340–346 Acceptance
of conflict, 208 of project, 482 of risk, 234
Accessibility, 201 Accounting, 44–45 Acquisition control, 167 Activities, 299, 333
burst, 301 concurrent, 303–304 merge, 301 ordered, 299 splitting, 417
Activity-based costing (ABC), 276–278
Activity duration estimates, 302, 309–311
Activity late finish dates, determining, 412
Activity-on-Arrow networks (AOA), 348–354
Activity-on-Node networks vs., 353–354
backward passes on, 352–353 definition of, 302, 348 differentiation of, 348–350 dummy activities, 351 forward passes on, 352–354
Activity-on-Node networks (AON) Activity-on-Arrow networks vs.,
353–354 definition of, 302, 348
Acts of God, 237 Actual cost of work performed
(AC), 442 Adding details to networks, 515–519 Addition, termination by, 480 Adjourning, 198 Administrative conflict, 205 Administrative performance, 495 Affordable Care Act (ACA), 145 Aggregation of risk, 379–380 Agile PM, key terms
burndown chart, 372 development team, 373 product backlog, 373 product owner, 373 scrum master, 372 scrum, 372 sprint backlog, 372 sprint, 372 time-box, 372 user stories, 372 work backlog, 373
Agile process, steps in daily scrums, 374 development work, 374 problems with, 376 sprint planning, 374 sprint retrospective, 376 sprint views, 375 work of, 376
Agile Project Management (Agile PM), 369
designed for managing projects, 370–371
evolve customer needs, 369 iterative planning process, 369 key terms in, 372–373 reduces the complexity, 471 rolling wave process, 371 scrum process, 371–372 steps in, 373–376
tasks vs. stories, 371–373 unique about, 370–371 waterfall model, project
development, 369–370 Agile World, 396–397 Alternative analysis, in conceptual
development, 148–149 Analytical Hierarchy Process
(AHP), 84–87 criteria for, 84–85 evaluation dimensions of,
assignment of numerical values to, 86
project proposals, evaluation of, 86–87
Arbitration, 494 of conflict, 208
Armitt, John, 116 Arrow, 302, 348 Assessments in risk management,
228–229
b Backward pass, 301, 313–314,
313–316, 354–356 Balanced matrix, 54 Ballpark estimates, 263 Baseline
definition of, 167 project, 435 scope, 153
BBC’s Digital Media, 10–12 Behavioral view of conflict, 205 Benchmarking, 20 Beta distributions, 308 “Big Dig” project, 288–290 Blanque Cheque Construction,
project scheduling at, 360 Boeing’s 787 Dreamliner, 465–467 Boston’s Central Artery/Tunnel
Project, 288–290 Bottom-up budgeting, 276 Breakeven point, 91 Brook’s Law, 343 Brown, Mike, 480–481 Budget/budgeting, 275
activity-based costing, 276–278 bottom-up, 276 contingencies, development of,
278–280 crashing projects, effects of,
344–346 creation of, 275–278 top-down, 275–276
Budgeted cost at completion (BAC), 442
Build, Operate, and Transfer (BOT), 482
Build, Own, Operate, and Transfer (BOOT), 482
Building Dams, hidden costs, 286–287
Burst activities, 301, 304–307
c California High-Speed Rail Project,
173–175 Capability Maturity Model, 44–45 Capacity constraint buffer
(CCB), 387 Caspian Kashagan Project, 297–298 Center for Business Practices, 21 Central limit theorem, 379–380 Change management, 238 Checklist model, 80–81
CityTime Project, New York, 432 Claims following early project
termination, 493–494 Clearinghouse effect, 57 Client acceptance, 457 Client consultation, 456–457 Clients, 43
acceptance of, 16 Closeout process, 482–487 Cohesiveness, 193 Columbus Instruments, Inc. (CIC),
215–216 Comet, 245–247 Commercial risk, 229 Communication, 457
faulty, 207 freedom of, 103 poor, 194 project manager, 119–125 team members, with potential,
189–190 Comparative estimates, 263 Competitors, 44 Conceptual development, 148–153 Conceptualization phase, 13–14 Conclusion to project, 485 Concurrent activities, 303–304 Conduct codes, 203 Confidence interval, 309 Configuration control, 167 Configuration management,
167–169 Conflict
acceptance, 208 administrative, 205 arbitration, 208 control, 208 definition of, 205–206 elimination of, 208–209 goal-oriented, 205 interpersonal, 205, 207 management of, 205–209 mediation of, 208 organizational causes of, 206–207 resolving, methods for, 208–209 resource, 386–387 sources of, 206–208 from unclear goals, 194
Consequences analysis of, 229, 231–233 of failure, 233 to top management, notification
of, 191 Conservative technical
communities, 104 Contingencies of budget,
development of, 278–280 Contingency reserves, 236–237
managerial contingency, 236–237
task contingency, 236–237 Contracts
fixed-price, 235 turnkey, 164
Contractual risk, 229 Control, 237–239
of conflict, 208 cycle, 434 definition of, 229
Control systems, 167–169 configuration management,
167–169 Control tower PMO, 59 Corporate strategy, 40 Cost control accounts, 159
Cost estimation, 259, 262–275 learning curves in, 266–268 problems with, 272–275 of software project, 270–271
Cost Performance Index (CPI), 442, 447
Cost-plus contracts, 164 Cost Variance, 449, 460 Costs. See also Project budget
direct vs. indirect, 260–261 fixed vs. variable, 261–262 management of, 259–261 normal vs. expedited, 262 recurring vs. nonrecurring, 261
Crashing, 262, 302, 340 Crashing projects, 340–348
acceleration of projects, options for, 340–346
budget, effects of, 344–346 definition of, 340
Creative originator, 128 Criteria weights, in AHP, 85–86 Critical chain activity network,
development of, 381–383 critical chain solutions vs. critical
path solutions, 383–384 Critical chain methodology, 379 Critical Chain Project Management
(CCPM) critiques of, 391 definition of, 368 of Elli Lilly Pharmaceuticals, 385 of project portfolio, 387–389
Critical chain project scheduling. See also Critical Chain Project Management (CCPM)
critical chain activity network, development of, 381–383
critical chain solution to, 379–380
introduction to, 368–369 theory of constraints and, 378–379
Critical chain scheduling, 390 Critical chain solutions, 379–384
critical path solutions vs., 383–384
resource conflicts, 386–387 Critical incidents, 63 Critical path, 379
backward pass, 313–316 construction of, 311–321 critical chain solutions vs.
solutions of, 383–384 definition of, 301, 337 forward pass, 312–313 hammock activities, 319 identification of, 512 laddering activities, 318–319 network, calculation of, 311–312 project completion, probability of,
316–321 reduction of, options for, 320–321
Critical Path Model (CPM), 301–302 Critical success factors, 456–457 Cross-functional cooperation,
achievement of, 199–202 accessibility, 201 outcomes of, 201 physical proximity, 201 procedures, 200 rules, 200 superordinate goals, 199–200
Cross-training, 237 Crowdsourcing, 367 Culture, 59
538
Subject Index 539
j James, John, 138–140 Jobs, Steven, 117 Johnson & Rogers Software
Engineering, Inc., 217–218
K Keflavik Paper Company, 111 Key organizational members, 63 Kickstarter, projects, 367–368 Kimble College, 463–464
L Labor costs, 259 Laddering activates, 318–319 Lag, 333 Late start (LS) date, 301, 337 Leadership
definition of, 117 emotional intelligence and,
124, 138 introduction to, 117 poor, 194–195 project, 131–132 project champions, 127–131 project leaders, 125–126 project management
professionalism, 134–135 project manager, 117–123
Learning curves in cost estimation, 266–268
Legal risk, 229 Lessons learned, 484 Leveling heuristics, 407 Linear responsibility chart, 160 Liquidated damages, 235 London Olympics, 116–117 Lump sum contracts, 164
M Managerial contingency, 236–237 Matching skills, identification of, 189 Materials, costs for, 259 Mathematical programming,
422–423 Matrix organizations, 53–55 Matrix structure, 53–54 Maturity models, 19–23 Mediation of conflict, 208 MegaTech, Inc., 29–30 Melted Cars, building, 224–225 Member turnover rate, 196 Mentoring, 237 Merge activities, 301, 304 Microsoft Project 2013 tutorial on
networks adding details to, 515–519 construction of, 510–511 critical path, identification of, 512 Gantt chart, 515 network diagram, 515 resource conflicts, 513–514 resources, assigning and leveling
of, 512 updating, 515–519
Milestone analysis, 437–438 definition of, 437 problems with, 438–439
Minimum late finish time, 422 Mission, clarity of, 192 Mission statements, 39 Mixed-constraint project, 403–404 Monitoring, 457 Motivation
lack of, 195 leadership and, 120, 124
Mowery, Bill, 132–133 Multiproject environments
in-process inventory, 421
G Gantt charts, 335–338
definition of, 335 lags in, incorporation of, 338 on networks, 515 resources to, addition of, 337–338 tracking, 439
Gehry, Frank, 224 General Electric Corporation,
project screening and selection at, 97–98
Geographical location, organizational culture and, 62
Gibeau, Frank, 64 Goal-oriented conflict, 205 Goals
employee commitment to, 63 scope statement and, 153
Godfather, 129 Group development, stages of,
196–199 adjourning, 198 forming, 196–199 norming, 198 performing, 198 punctuated equilibrium,
198–199 storming, 197
Group maintenance, 122 Giuliani, Rudolph, 432
H Hamelin Hospital, information
technology at, 30 Hammock activates, 319 Heavyweight project organizations,
moving to, 55–56 Henry, Simon, 298 Hudson River Tunnel Project,
497–499 Human factors in project evaluation
and control, 454–458
I Immelt, Jeff, 117 India, 126–127 Indirect vs. direct costs, 260–261 Inflation, 90, 94, 273 Information technology (IT)
“Death March” projects, 165–166
at Hamelin Hospital, 30 project termination in,
490–491 success project, 19
In-process inventory, 421 Integrated Project
cost estimation and budgeting, 256–280
organization context, 36–65 project scheduling, 296–321 resource management, 400–423 risk management, 223–243 scope management, 144–171
Integration, termination by, 480 Interaction, 193 Interactionist view of conflict, 205 Interdependencies, 192 Interests vs. positions, focusing on,
211–212 Internal rate of return (IRR), 90,
94–95 International management,
challenge of, 133 Interpersonal conflict, 205
causes of, 207–208 Intervenor groups, 44 Iribe, Brendan, 367 Iron triangle, 19
Elli Lilly Pharmaceuticals, critical chain project management of, 385
Emotional commitment of project champions, 131
Emotional intelligence, leadership and, 124, 137
Emotions negotiation and, 211 project termination and, 490
Empathy, 124 Enthusiasm, 193–194 Entrepreneur, 128 Environments, 62. See also
Multiproject environments assessment of, 45 external, 48 scanning of, low-cost, 103
Estimation at Completion (EAC), 449
Event, 301 Event marker, 349 Execution phase, 13–14 Execution risk, 229 Ex-gratia claims, 493 Expedited vs. normal costs, 262 Expeditionary Fighting Vehicle
(EFV), 167, 170, 176–178 Expedition Everest (Disney), 31–32 Expert opinion, 229, 308 External environment, 48 Extinction, termination by, 480 Extreme Programming (XP), 377
vs. Agile PM, 377 for Chrysler Corporation, 377 guiding features of, 377
pair programming, 377 software development
methodology, 377
F Failure, probability and
consequences of, 228, 233–235 Fallback positions, team building in,
191–192 Fast-tracking, 334 Faulty attributions, 207 Feasibility estimates, 264 Feedback, 457 Feeder buffers, 381–383 Feeding Frenzy, construction
project, 490 50/50 rule, 452–453 Final project report, preparation of,
494–496 Financial risk, 228 Finish to finish, 334 Finish to start, 333–334 Finishing work, 482 Firefighting, 121 First in line resource allocation,
421–422 Fixed-price contracts, 235 Fixed vs. variable costs, 261–262 Flexible schedule, 103 Float, 301, 315–316, 334 Forming, 197 Forrest, Brett, 257 Forward pass, 301, 312–313,
352–354 Frustration, 207 Fultz, Christopher, 338 Functional managers, 45 Functional matrix, 54 Functional organizations, 48–50 Functional siloing, 49 Functional structure, 48–50 Function point analysis, 271 Function points, 271
d DDG 1000 Zumwalt destroyer,
500–501 “Death Marches, project”,
165–166 Decision making, 99
for early project termination, 488–489
Default claims, 493 Definitive estimates, 264 Defusion, 208 de Havilland Aircraft Company,
245–247 Deliverables, 5 Department managers, negotiating
with, 189–190 Departments, 159, 161 Design control, 167 Differentiation, 192, 206 Direct vs. indirect costs, 260–261 Disagreements, resolution of,
193, 203 Disbanding project team, 486 Discounted cash flow (DCF)
method, 90 Discounted payback, 94 Discount rate, 92 Disney, 31–32 Disputes following early project
termination, 493–494 Documentation, 237–239
definition of, 229 Document control, 167 Dotcom.com, project management
at, 175–176 Drum, 387 Drum buffers, 387 Dual hierarchy, 53 Duke Energy, Nuclear Power Plant,
478–479 Dummy activities, 351 Duration estimation of project,
307–311 Dysfunctional behavior, 196
e Early project termination, 487–494
claims following, 493–494 decision making for, 489–490 disputes following, 493–494 shutting down project, 490–492
Early start (ES) date, 301, 333 Early termination, 487 Earned Schedule (ES), 470–474
definition of, 471 Earned value (EV), 440, 441
at Northrop Grumman, 451–452
assessment of, 445–449 Earned Value Management (EVM),
440–450 definition of, 440 earned value, assessment of,
445–449 effective use of, issues in,
452–454 for portfolio management, use of,
450–451 project baselines, creation
of, 442 for project management, use of,
450–451 purpose of, 443–444 steps in, 444–445 terminology for, 441
Effective natural termination, prevention of, 487
Efficient frontier, 88 Elimination of conflict, 208–209
540 Subject Index
drawbacks of, 440 milestone analysis, 437–438 organizational structure’s impact
on, 56–57 project S-curve, 435–436 tracking Gantt chart for, 439–440
Project Plan Template, 520–523 Project planning, 299, 457 Project portfolio
Critical Chain Project Management of, 387–389
definition of, 78 proactive, development of,
100–103 Project portfolio management,
98–105 definition of, 98 Earned Value Management for,
use of, 450–451 implementation of, problems in,
104–105 initiatives of, 99 introduction to, 78 keys to successful, 103 objectives of, 99–100 proactive project portfolio,
development of, 100–103 Project resources, acquisition of,
119–120 Project risk, 225 Project Risk Analysis and
Management (PRAM), 241–242 Projects
acceleration of, 340–346 acceptance of, 483 characteristics of, 6–9 conclusion to, 485 definition of, 5–6 duration estimation of, 307–311 elements of, 23–26 importance of, 9–12 organizational strategy of, 39–41 out-of-sync, 104
scope, 146, 301 shutting down, 490–492
success of, determinants of, 16–19
text organization in, 23–27 transferring, 482 unpromising, 104
Projects in Lagos, 6–8 development, 2–4
Project safety, 379, 391 Project scheduling/schedules,
299–300. See also Critical chain project scheduling
Activity-on-Arrow networks (AOA), 348–354
adjusting, 191 conclusion on, 356 crashing projects, 340–348 critical path, construction of,
311–321 duration estimation, 307–311 Gantt charts, 335–338 introduction to, 299, 335 networks, 302–307, 354–355 precedence relationships, lags in,
333–335 terminology, 301–302
Project screening Analytical Hierarchy Process
(AHP), 84–87 approaches to, 80–90 checklist model, 80–81 at General Electric Corporation,
97–98 simplified scoring models, 82–84
Project S-curve, 435–436 drawback of, 437
Program Evaluation and Review Technique/Critical Path Method (PERT/CPM), 302, 354–355
Project baseline, 434, 442 Project budget, 275–278 Project charter, 151, 180–181 Project champions, 127–131
definition of, 128 development of, 130–131 emergence of, 131 emotional commitment of, to their
project, 131 identification of, 131 nontraditional duties of, 131 risk takers, encouraging and
rewarding, 131 role of, 129–130
Project closeout, 169–170 Project completion, probability of,
316–318 Project control, 434. See also Earned
Value Management (EVM) cycles of, 434–435 human factors in, 454–458 introduction to, 434
Project evaluation. See also Earned Value Management (EVM)
human factors in, 454–458 Project Execution Plan, 520–523 Project leaders
conclusions about, 126 project managers vs., 117–123 traits of effective, 124–125
Project leadership, 131–132 Project life cycle, 13 Project management
definition of, 8 at Dotcom.com, 175–176 Earned Value Management for,
use of, 450–451 India, 126–127 introduction to, 4 maturity models, development
of, 19–23 organizational culture and,
63–64 professionalism, 134–135 techniques of, 495
Project Management Body of Knowledge (PMBOK), 153
Project Management Institute (PMI), 5, 26–27
Project management maturity models, development of, 19–23
Project management office (PMO), 57–59
Project manager, 119, 129 communication, 121–123 effective, 137 firefighting, 121 process of, 119–123 project leaders vs., 117–123 project resources, acquisition of,
119–120 strategic vision, 121 teams, motivation and building
of, 120 Project matrix, 54 Project monitoring. See also Earned
Value Management (EVM) conclusions to, 458 human factors in, 454–458 introduction to, 434 of performance, 435–440
Project network diagram (PND), 301 Project organizations, 50–53
heavyweight, moving to, 55–56 Project performance, 435–440, 494
benefits of, 440
project management office, 57–59
stakeholder management, 41–47 Organizational culture, 59–65
formation of, 61–63 project management and, 63–64
Organizational entrepreneur, 128 Organizational strategy of project,
39–41 Organizational structure, 47, 494
forms of, 47–56 project performance, 56–57
Organization Breakdown Structure (OBS), 159–160
Orientation, 194 O’Rourke, Ray, 116 Outcomes, 194 Out-of-sync projects and
portfolios, 104
P Pair programming, XP, 377 Pairwise comparison approach, 85 Panama Canal, enlarging, 331–333 Parametric estimation, 263 Partial assistance, negotiating
for, 191 Path, 301 Paul, Mathew, 227 Payback period, 90–91 People skills, 189 Percentage complete rule, 453 Performing, 198 Personal grudges, 207 Peterson, Laura, 177 Physical constraints, 403 Physical proximity, 201 Planned value (PV), 441 Planning, 6, 13, 24, 63, 168, 299 Positions vs. interests, focusing on,
211–212 Precedence relationships,
333–335 finish to finish, 334 finish to start, 333–334 start to finish, 335 start to start, 334–335
Preceding activities, 299 Predecessors, 301 Prejudices, 207 Present value of money, 90 Principal actors, identification of
goals of, 46 Principled negotiation, 210–212
interests vs. positions, focusing on, 211–212
separation of person and problem, 210–211
Prioritization, 99 adjusting, 191
Private Finance Initiatives (PFIs), 482–483
Probability analysis of, 229, 231–234 of failure, 233, 234
Problem, defining, 46 Procedures, organizational, 62, 200 Process
definition of, 5 orientation, 7
Productive interdependency, 192–193
Profile models, 90–97 discounted payback, 94 internal rate of return, 94–95 net present value, 92–94 options models, 96 payback period, 90–91 project selection approach,
choosing of, 97–98
Multiproject environments (continued) resource allocation, resolution of,
421–423 resource management in, 420–423 resource utilization, 420 schedule slippage, 420
Multitasking, 427–428 Murphy’s law, 279 Musk, Elon, 37 Mutual gain, invention of options
for, 212
n Natural gas pipeline, Hong Kong,
401–402 Natural termination, 482–487
acceptance of project, 483 benefits, harvesting, 483 closeout process, 482–487 conclusion to project, 485 definition of, 479 disbanding project team, 486 effective, prevention of, 487 finishing work, 482 review project, 483–485 transferring project, 482–483
Necessary skills, identification of, 189
Need statement, 148 Negative float, 316 Negotiation, 209–213
definition of, 209 with department managers,
189–190 mutual gain, invention of
options for, 212 objective criteria, 213 for partial assistance, 191 principled, 210–212 questions to ask prior to, 209–210
Nemtsov, Boris, 258 Net present value (NPV), 92–94 Network diagram, 299–300, 515 Networks. See also Microsoft Project
2013 tutorial on networks calculation of, 311–312 controversies in using, 354–355 development of, 302–307
New project leadership, 131–133 Nigeria’s Kainji Dam, 287 Nodes, 301, 303, 348 Nonnumeric models, 79 Nonrecurring vs. recurring
costs, 261 Normal vs. expedited costs, 262 Norming, 198 Norms, 59–60, 198 Northrop Grumman, earned value
at, 451–452 Nova Western, Inc., project selection
procedures for, 112 Numeric models, 79
O Objective criteria, 213 Objectives, 39 O’Donnell, Kevin, 418–420 Operating risk, 236 Operational reality, 40 Options models, 96 Ordered activity, 299 Order of magnitude, 263 Organizational causes of
conflict, 206 Organizational context
introduction to, 38 organizational culture, 59–65 organizational strategy of project,
39–41 organizational structure, 47
Subject Index 541
Sreedharan, Elattuvalapil, 126–127 Stakeholder management, 41–47.
See also Project stakeholders Start to finish, 335 Start to start, 334–335 Starvation, termination by, 480 Statement of Work (SOW), 150–151 Storming, 197 Strategic management, 39 Strategic vision, 121 Strong matrix, 54 Subsequent activity, 299 Successors, 301, 333 Success project, 19 Superconducting Supercollider
(SSC), 464–465 Superordinate goals, 199–200 Suppliers, 44
t Tacoma Narrows suspension
bridge, 249–251 Task contingency, 236 Task outcomes, 201 Tasks, 299, 333 Team building, 189–192
definition of, 189 department managers, 189–190 in fallback positions, 191–192 introduction to, 189 priorities, adjusting, 191 project schedules, adjusting, 191 skills, 189 team members, 189–191 top management, notification of
consequences to, 191–192 Team members
assembly of, 191–192 communication with potential,
189–190 Team performance, 495 Teams, motivation and building
of, 121 Technical communities,
conservative, 104 Technical risk, 228 Technical tasks, 457 Technology, 62
organizational culture and, 59–61 Tele-Immersion Technology,
203–204 Termination
by addition, 480 by extinction, 480 by integration, 480 by starvation, 480
Tesla Model S, 38 Text organization, 23–27 Theory of constraints (TOC),
378–379 Time, scarcity of, 403–405 Time-constrained project, 403 Time-paced transition, 104 Time-phased budget, 277 Time value of money, 90 Tollgate process, 97–98 Top-down budgeting, 275–276 Top management, 44
consequences to, notification of, 191
support of, 456 Torrijos, Martin, 331 TOWS matrix, 40 Tracking Gantt chart, 439–440 Transferring of risk, 235–236 Transferring project, 482–483 Trend monitoring, 167 Triple constraint, 16 Troubleshooting, 457
risk mitigation strategies, 234–235
Risk mitigation strategies, 228, 234–235. See also Risk
other types of, 237 Risk/return options, 88–89 Risk takers, encouraging and
rewarding, 131 Roles, poorly defined, 195 Rolls-Royce Corporation, 67–68,
480–481 Rules, organizational, 62, 200
S Scarce resources, 104–105 Scaroni, Paolo, 298 Schedule Performance Index (SPI),
442 Schedule slippage, 420 Scheduling. See Project scheduling/
schedules Scheduling at Blanque Cheque
Construction, 360 Scope baseline, 153 Scope management
conceptual development, 148–153 control systems, 167–169 definition of, 146 introduction to, 146 project closeout, 169–170 scope reporting, 164–165 scope statement, 153–160 work authorization, 161–164
Scope, project, 146, 301 Scope reporting, 164–165 Scope statement, 153–160
organization breakdown struc- ture, 159–160
responsibility assignment matrix, 160–161
work breakdown structure, 153–159
Selection models, 78 Self-capabilities, assessment of, 46 Self-regulation, 124 Separation of person and problem,
210–211 Serial activates, 303 Serial path, 333 Shanghai apartment building col-
lapse, 239–240 Sharing of risk, 235 Shepherd, Chris, 224 Showpiece Warship, Navy Scraps
Development, 500–501 Shutting down project, 490–492 Siloing, 49–50 Simplified scoring models, 82–83
limitations of, 84 Skills
matching, identification of, 189–190
necessary, identification of, 189 Slack, 315–316 Smith, Stephanie, 15–16 Smoothing, 407 Sochi Olympics, 257–258 Software project
cost estimation, 272–273 cost estimation of, 270–271 development, delays and
solutions to, 321 function points, 270–271
Solutions development of, 46–47 testing and refining, 47
Specification control, 167 Splitting activities, 417 Sponsor, 129
resources, scarcity of, 402–405 time, scarcity of, 403–405
Resource demands greatest, 422 resource allocation and, 422 utilization of, 422
Resource leveling, 407–416 activity late finish dates, deter-
mining, 412 resource-loading table, 411–416 resource overallocation,
identification of, 412 Resource-limited schedule, 302 Resource loading, 405–407 Resource-loading charts, 416–418 Resource-loading table
development of, 411–412 leveling of, 412–416
Resource management introduction to, 402 in multiproject environments,
420–423 resource constraints, 403–405 resource leveling, 407–416 resource loading, 405–407 resource-loading charts, 416–418
Resource overallocation, identification of, 412
Resource pool PMO, 59 Resources
assigning, 513 definition of, 53 for Gantt charts, 337–338 leveling, 514 in networks, 515 scarcity of, 206, 403–405
Resource smoothing, 407 Resource usage table, 405–407 Resource utilization in multiproject
environments, 420 Responsibilities, poorly defined, 195 Responsibility Assignment Matrix
(RAM), 160–161 Results orientation, 194 Return on investment (ROI), 96, 99 Review, 99, 484–485 Reward systems, 62, 206 Risk
acceptance of, 234 commercial, 229 contractual, 229 execution, 229 financial, 228 identification of, 228–231 legal, 229 minimization of, 235 project, 225 sharing of, 235 technical, 228 transferring of, 235
Risk Breakdown Structure (RBS), 231
Risk impact matrix, 231–232 Risk management
breakdown structures, 231 consequences, analysis of,
231–234 contingency reserves, use of,
236–237 control, 237–239 definition of, 225 documentation, 237–239 four-stage process for, 228–239 integrated approach to,
241–242 insurance, 237 introduction to, 225–226 probability, analysis of, 231–234 risk identification, 228–230
Project selection, 77, 78–80 approach to, 97–98 at General Electric Corporation,
97–98 introduction to, 78 for Nova Western, Inc., 112 profile models, 90–97 project screening and, approaches
to, 80–90 Project stakeholders, 41
analysis of, 41 definition of, 14 identification of, 41–47 management of, 45–47 project, 41
Project structure, 50–53 Project task estimation, 69 Project team
building of, 189–192 characteristics of effective,
192–194 conflict management, 205–209 cross-functional cooperation,
achievement of, 199–202 disbanding, 486 failure of, reasons for, 194–195 group development, stages of,
196–199 impacting lives, 187–188 members of, 45 negotiation, 209–213 virtual, 203
Project termination conclusions to, 496 definition of, 479 early, 487–494 final project report, preparation
of, 494–496 in information technology,
490–491 introduction to, 479 natural termination, 482–487 types of, 480
Project work packaging, defining, 163
Psychosocial outcomes, 201 Psychosocial results, 201 Punch list, 482 Punctuated equilibrium, 198–199 Putin, Vladimir, 258
Q Quadruple constraint, 17 Qualitative risk assessment, 253 Quantitative risk assessment, 254 Questions to ask prior to negotia-
tion, 209–210
R Ramstein Products, Inc., 397–398 Realignment, 100 Recurring vs. nonrecurring costs,
261 Refactoring process, extreme
programming, 377 Reprioritization, 100 Required rate of return (RRR), 94 Resource allocation, resolution of,
421–423 first in line, 421–422 mathematical programming,
422–423 minimum late finish time, 422 resource demands, 422
Resource conflicts, 386–387 in networks, 512–513
Resource-constrained project, 403 Resource constraints, 402–405
definition of, 402
542 Subject Index
Work Breakdown Structure (WBS), 153–154, 231, 301
purpose of, 154–159 Work packages, 13,
156–157, 301
x Xerox Alto, 68–69 Xerox Corporation, 62
Z 0/100 rule, 452
development process in, 370
different phases, 369–370 logical series of steps, 370
WBS codes, 156 Weak matrix, 54 Weather station PMO, 58 Welch, Jack, 117 Westinghouse Electric Company,
15–16 Widgets ’R Us (WRU), 70 Winterkorn, Martin, 37 Work authorization, 161–164
V Valid consideration, 147, 163 Variable vs. fixed costs, 261–262 Variance, 309 Viñoly, Rafael, 224 Virtual Fence Project, 172–173 Virtual project team, 202 Virtual teams, 202, 203–204
W Waterfall model, 369, 370
to address the critical issue, created, 370
Trust, 192 Tunnel Project, Hudson River,
497–499 Turnkey contracts, 164
u Uncertainty, 14, 206 Unclear goals, 194 U.S. Army, 132, 237 U.S. Marine Corps, 418–420 Unnatural termination, 479 Unpromising projects, 104 Updating networks, 515–519
- Front Cover
- Title Page
- Copyright Page
- Brief Contents
- Contents
- Preface
- Introduction: Why Project Management?
- Project Profile: Development Projects in Lagos, Nigeria
- Introduction
- 1.1 What Is a Project?
- General Project Characteristics
- 1.2 Why Are Projects Important?
- Project Profile: “Throwing Good Money after Bad”: the BBC’s Digital Media Initiative
- 1.3 Project Life Cycles
- Box 1.1: Project Managers in Practice
- 1.4 Determinants of Project Success
- Box 1.2: Project Management Research in Brief
- 1.5 Developing Project Management Maturity
- 1.6 Project Elements and Text Organization
- Summary
- Key Terms
- Discussion Questions
- Case Study 1.1 MegaTech, Inc.
- Case Study 1.2 The IT Department at Hamelin Hospital
- Case Study 1.3 Disney’s Expedition Everest
- Case Study 1.4 Rescue of Chilean Miners
- Internet Exercises
- PMP Certification Sample Questions
- Notes
- The Organizational Context: Strategy, Structure, and Culture
- Project Profile: Tesla’s $5 Billion Gamble
- Introduction
- 2.1 Projects and Organizational Strategy
- 2.2 Stakeholder Management
- Identifying Project Stakeholders
- Managing Stakeholders
- 2.3 Organizational Structure
- 2.4 Forms of Organizational Structure
- Functional Organizations
- Project Organizations
- Matrix Organizations
- Moving to Heavyweight Project Organizations
- Box 2.1: Project Management Research in Brief
- 2.5 Project Management Offices
- 2.6 Organizational Culture
- How Do Cultures Form?
- Organizational Culture and Project Management
- Project Profile: Electronic Arts and the Power of Strong Culture in Design Teams
- Summary
- Key Terms
- Discussion Questions
- Case Study 2.1 Rolls-Royce Corporation
- Case Study 2.2 Classic Case: Paradise Lost—The Xerox Alto
- Case Study 2.3 Project Task Estimationand the Culture of “Gotcha!”
- Case Study 2.4 Widgets ’R Us
- Internet Exercises
- PMP Certification Sample Questions
- Integrated Project—Building Your Project Plan
- Notes
- Project Selection and Portfolio Management
- Project Profile: Project Selection Procedures: A Cross-Industry Sampler
- Introduction
- 3.1 Project Selection
- 3.2 Approaches to Project Screening and Selection
- Method One: Checklist Model
- Method Two: Simplified Scoring Models
- Limitations of Scoring Models
- Method Three: The Analytical Hierarchy Process
- Method Four: Profile Models
- 3.3 Financial Models
- Payback Period
- Net Present Value
- Discounted Payback
- Internal Rate of Return
- Choosing a Project Selection Approach
- Project Profile: Project Selection and Screening at GE: The Tollgate Process
- 3.4 Project Portfolio Management
- Objectives and Initiatives
- Developing a Proactive Portfolio
- Keys to Successful Project Portfolio Management
- Problems in Implementing Portfolio Management
- Summary
- Key Terms
- Solved Problems
- Discussion Questions
- Problems
- Case Study 3.1 Keflavik Paper Company
- Case Study 3.2 Project Selection at Nova Western, Inc.
- Internet Exercises
- Notes
- Leadership and the Project Manager
- Project Profile: Leading by Example for the London Olympics—Sir John Armitt
- Introduction
- 4.1 Leaders Versus Managers
- 4.2 How the Project Manager Leads
- Acquiring Project Resources
- Motivating and Building Teams
- Having a Vision and Fighting Fires
- Communicating
- Box 4.1: Project Management Research in Brief
- 4.3 Traits of Effective Project Leaders
- Conclusions about Project Leaders
- Project Profile: Dr. Elattuvalapil Sreedharan, India’s Project Management Guru
- 4.4 Project Champions
- Champions—Who Are They?
- What Do Champions Do?
- How to Make a Champion
- 4.5 The New Project Leadership
- Box 4.2: Project Managers in Practice
- Project Profile: The Challenge of Managing Internationally
- 4.6 Project Management Professionalism
- Summary
- Key Terms
- Discussion Questions
- Case Study 4.1 In Search of Effective Project Managers
- Case Study 4.2 Finding the Emotional Intelligence to Be a Real Leader
- Case Study 4.3 Problems with John
- Internet Exercises
- PMP Certification Sample Questions
- Notes
- Scope Management
- Project Profile: “We look like fools.”—Oregon’s Failed Rollout of Its Obamacare Web Site
- Introduction
- 5.1 Conceptual Development
- The Statement of Work
- The Project Charter
- Project Profile: Statements of Work: Then and Now
- 5.2 The Scope Statement
- The Work Breakdown Structure
- Purposes of the Work Breakdown Structure
- The Organization Breakdown Structure
- The Responsibility Assignment Matrix
- 5.3 Work Authorization
- Project Profile: Defining a Project Work Package
- 5.4 Scope Reporting
- Box 5.1: Project Management Research in Brief
- 5.5 Control Systems
- Configuration Management
- 5.6 Project Closeout
- Summary
- Key Terms
- Discussion Questions
- Problems
- Case Study 5.1 Boeing’s Virtual Fence
- Case Study 5.2 California’s High-Speed Rail Project
- CaseStudy 5.3 Project Management at Dotcom.com
- Case Study 5.4 The Expeditionary Fighting Vehicle
- Internet Exercises
- PMP Certification Sample Questions
- MS Project Exercises
- Appendix 5.1: Sample Project Charter
- Integrated Project—Developing the Work Breakdown Structure
- Notes
- Project Team Building, Conflict, and Negotiation
- Project Profile: Engineers Without Borders: Project Teams Impacting Lives
- Introduction
- 6.1 Building the Project Team
- Identify Necessary Skill Sets
- Identify People Who Match the Skills
- Talk to Potential Team Members and Negotiate with Functional Heads
- Build in Fallback Positions
- Assemble the Team
- 6.2 Characteristics of Effective Project Teams
- A Clear Sense of Mission
- A Productive Interdependency
- Cohesiveness
- Trust
- Enthusiasm
- Results Orientation
- 6.3 Reasons Why Teams Fail
- Poorly Developed or Unclear Goals
- Poorly Defined Project Team Roles and Interdependencies
- Lack of Project Team Motivation
- Poor Communication
- Poor Leadership
- Turnover Among Project Team Members
- Dysfunctional Behavior
- 6.4 Stages in Group Development
- Stage One: Forming
- Stage Two: Storming
- Stage Three: Norming
- Stage Four: Performing
- Stage Five: Adjourning
- Punctuated Equilibrium
- 6.5 Achieving Cross-functional Cooperation
- Superordinate Goals
- Rules and Procedures
- Physical Proximity
- Accessibility
- Outcomes of Cooperation: Task and Psychosocial Results
- 6.6 Virtual Project Teams
- Project Profile: Tele-Immersion Technology Eases the Useof Virtual Teams
- 6.7 Conflict Management
- What Is Conflict?
- Sources of Conflict
- Methods for Resolving Conflict
- 6.8 Negotiation
- Questions to Ask Prior to the Negotiation
- Principled Negotiation
- Invent Options for Mutual Gain
- Insist on Using Objective Criteria
- Summary
- Key Terms
- Discussion Questions
- Case Study 6.1 Columbus Instruments
- Case Study 6.2 The Bean Counterand the Cowboy
- Case Study 6.3 Johnson & Rogers Software Engineering, Inc.
- Exercise in Negotiation
- Internet Exercises
- PMP Certification Sample Questions
- Notes
- Risk Management
- Project Profile: The Building that Melted Cars
- Introduction
- Box 7.1: Project Managers in Practice
- 7.1 Risk Management: a Four-Stage Process
- Risk Identification
- Project Profile: Bank of America Completely Misjudges Its Customers
- Risk Breakdown Structures
- Analysis of Probability and Consequences
- Risk Mitigation Strategies
- Use of Contingency Reserves
- Other Mitigation Strategies
- Control and Documentation
- Project Profile: Collapse of Shanghai Apartment Building
- 7.2 Project Risk Management: An Integrated Approach
- Summary
- Key Terms
- Solved Problem
- Discussion Questions
- Problems
- Case Study 7.1 Classic Case: deHavilland’s Falling Comet
- Case Study 7.2 The Spanish Navy Pays Nearly $3 Billion for a Submarine That Will Sink Like a Stone
- Case Study 7.3 Classic Case: Tacoma Narrows Suspension Bridge
- Internet Exercises
- PMP Certification Sample Questions
- Integrated Project—Project Risk Assessment
- Notes
- Cost Estimation and Budgeting
- Project Profile: Sochi Olympics—What’s the Cost of National Prestige?
- 8.1 Cost Management
- Direct Versus Indirect Costs
- Recurring Versus Nonrecurring Costs
- Fixed Versus Variable Costs
- Normal Versus Expedited Costs
- 8.2 Cost Estimation
- Learning Curves in Cost Estimation
- Box 8.1: Project Management Research in Brief
- Problems with Cost Estimation
- Box 8.2: Project Management Research in Brief
- 8.3 Creating a Project Budget
- Top-Down Budgeting
- Bottom-Up Budgeting
- Activity-Based Costing
- 8.4 Developing Budget Contingencies
- Summary
- Key Terms
- Solved Problems
- Discussion Questions
- Problems
- Case Study 8.1 The Hidden Costs of Infrastructure Projects—The Case of Building Dams
- Case Study 8.2 Boston’s Central Artery/Tunnel Project
- Internet Exercises
- PMP Certification Sample Questions
- Integrated Project—Developing the Cost Estimates and Budget
- Notes
- Project Scheduling: Networks, Duration Estimation, and Critical Path
- Project Profile: After 20 Years and More Than $50 Billion, Oil is No Closer to the Surface: The Caspian Kashagan Project
- Introduction
- 9.1 Project Scheduling
- 9.2 Key Scheduling Terminology
- 9.3 Developing a Network
- Labeling Nodes
- Serial Activities
- Concurrent Activities
- Merge Activities
- Burst Activities
- 9.4 Duration Estimation
- 9.5 Constructing the Critical Path
- Calculating the Network
- The Forward Pass
- The Backward Pass
- Probability of Project Completion
- Laddering Activities
- Hammock Activities
- Options for Reducing the Critical Path
- Box 9.1: Project Management Research in Brief
- Summary
- Key Terms
- Solved Problems
- Discussion Questions
- Problems
- Internet Exercises
- MS Project Exercises
- PMP Certification Sample Questions
- Notes
- Project Scheduling: Lagging, Crashing, and Activity Networks
- Project Profile: Enlarging the Panama Canal
- Introduction
- 10.1 Lags in Precedence Relationships
- Finish to Start
- Finish to Finish
- Start to Start
- Start to Finish
- 10.2 Gantt Charts
- Adding Resources to Gantt Charts
- Incorporating Lags in Gantt Charts
- Box 10.1: Project Managers in Practice
- 10.3 Crashing Projects
- Options for Accelerating Projects
- Crashing the Project: Budget Effects
- 10.4 Activity-on-Arrow Networks
- How Are They Different?
- Dummy Activities
- Forward and Backward Passes with AOA Networks
- AOA Versus AON
- 10.5 Controversies in the Use of Networks
- Conclusions
- Summary
- Key Terms
- Solved Problems
- Discussion Questions
- Problems
- Case Study 10.1 Project Scheduling at Blanque Cheque Construction (A)
- Case Study 10.2 Project Scheduling at Blanque Cheque Construction (B)
- MS Project Exercises
- PMP Certification Sample Questions
- Integrated Project—Developing the Project Schedule
- Notes
- Advanced Topics in Planning and Scheduling: Agile and Critical Chain
- Project Profile: Developing Projects Through Kickstarter—Do Delivery Dates Mean Anything?
- Introduction
- 11.1 Agile Project Management
- What Is Unique About Agile PM?
- Tasks Versus Stories
- Key Terms in Agile PM
- Steps in Agile
- Sprint Planning
- Daily Scrums
- The Development Work
- Sprint Reviews
- Sprint Retrospective
- Problems with Agile
- Box 11.1: Project Management Research in Brief
- 11.2 Extreme Programming (XP)
- 11.3 the Theory of Constraints and Critical Chain Project Scheduling
- 11.4 the Critical Chain Solution to Project Scheduling
- Developing the Critical Chain Activity Network
- Critical Chain Solutions Versus Critical Path Solutions
- Project Profile: Eli Lilly Pharmaceuticals and Its Commitment to Critical Chain Project Management
- 11.5 Critical Chain Solutions to Resource Conflicts
- 11.6 Critical Chain Project Portfolio Management
- Box 11.2: Project Management Research in Brief
- 11.7 Critiques of CCPM
- Summary
- Key Terms
- Solved Problem
- Discussion Questions
- Problems
- Case Study 11.1 It’s an Agile World
- Case Study 11.2 Ramstein Products, Inc.
- Internet Exercises
- Notes
- Resource Management
- Project Profile: Hong Kong Connects to the World’s Longest Natural Gas Pipeline
- Introduction
- 12.1 The Basics of Resource Constraints
- Time and Resource Scarcity
- 12.2 Resource Loading
- 12.3 Resource Leveling
- Step One: Develop the Resource-Loading Table
- Step Two: Determine Activity Late Finish Dates
- Step Three: Identify Resource Overallocation
- Step Four: Level the Resource-Loading Table
- 12.4 Resource-Loading Charts
- Box 12.1: Project Managers in Practice
- 12.5 Managing Resources in Multiproject Environments
- Schedule Slippage
- Resource Utilization
- In-Process Inventory
- Resolving Resource Decisions in Multiproject Environments
- Summary
- Key Terms
- Solved Problem
- Discussion Questions
- Problems
- Case Study 12.1 The Problems of Multitasking
- Internet Exercises
- MS Project Exercises
- PMP Certification Sample Questions
- Integrated Project—Managing Your Project’s Resources
- Notes
- Project Evaluation and Control
- Project Profile: New York City’s City Time Project
- Introduction
- 13.1 Control Cycles—a General Model
- 13.2 Monitoring Project Performance
- The Project S-Curve: A Basic Tool
- S-Curve Drawbacks
- Milestone Analysis
- Problems with Milestones
- The Tracking Gantt Chart
- Benefits and Drawbacks of Tracking Gantt Charts
- 13.3 Earned Value Management
- Terminology for Earned Value
- Creating Project Baselines
- Why Use Earned Value?
- Steps in Earned Value Management
- Assessing a Project’s Earned Value
- 13.4 Using Earned Value to Manage a Portfolio of Projects
- Project Profile: Earned Value at Northrop Grumman
- 13.5 Issues in the Effective Use of Earned Value Management
- 13.6 Human Factors in Project Evaluation and Control
- Critical Success Factor Definitions
- Conclusions
- Summary
- Key Terms
- Solved Problem
- Discussion Questions
- Problems
- Study 13.1 The IT Department at Kimble College
- Case Study 13.2 The Superconducting Supercollider
- Case Study 13.3 Boeing’s 787 Dreamliner: Failure to Launch
- Internet Exercises
- MS Project Exercises
- PMP Certification Sample Questions
- Appendix 13.1: Earned Schedule*
- Notes
- Project Closeout and Termination
- Project Profile: Duke Energy and Its Cancelled Levy County Nuclear Power Plant
- Introduction
- 14.1 Types of Project Termination
- Box 14.1: Project Managers in Practice
- 14.2 Natural Termination—the Closeout Process
- Finishing the Work
- Handing Over the Project
- Gaining Acceptance for the Project
- Harvesting the Benefits
- Reviewing How It All Went
- Putting It All to Bed
- Disbanding the Team
- What Prevents Effective Project Closeouts?
- 14.3 Early Termination for Projects
- Making the Early Termination Decision
- Project Profile: Aftermath of a “Feeding Frenzy”: Dubai and Cancelled Construction Projects
- Shutting Down the Project
- Box 14.2: Project Management Research in Brief
- Allowing for Claims and Disputes
- 14.4 Preparing the Final Project Report
- Conclusion
- Summary
- Key Terms
- Discussion Questions
- Case Study 14.1 New Jersey Kills Hudson River Tunnel Project
- Case Study 14.2 The Project That Wouldn’t Die
- Case Study 14.3 The Navy Scraps Development of Its Showpiece Warship—Until the Next Bad Idea
- Internet Exercises
- PMP Certification Sample Questions
- Appendix 14.1: Sample Pages from Project Sign-off Document
- Notes
- Appendix A The Cumulative Standard Normal Distribution
- Appendix B Tutorial for MS Project 2013
- Appendix C Project Plan Template
- Glossary
- Company Index
- Name Index
- Subject Index
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- Preflight Ticket Signature