OM007
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CHAPTER 13 Project Management
Learning Objectives
▪ Describe the need for project management and its use for administrative and clinical
operations.
▪ Review the information sources for project management in various health services
operations.
▪ Evaluate projects with PERT/CPM techniques.
▪ Recognize risk in project completion, and develop probabilistic methods.
▪ Describe the concept of project compression.
▪ Evaluate the cost/benefit of project compression.
Health care managers typically oversee a variety of operations intended to deliver health
services. Besides those, health care managers may work on projects that are unique and
nonroutine, designed to accomplish a specified set of objectives in a limited time. Projects
can be viewed as temporary endeavors undertaken to create new products and services
(Klastorin, 2004; p. 3). Typical examples of such nonroutine projects are moving a hospital
to a new location by a certain date or renovating an outpatient facility to meet changing
demand patterns. Projects like these have considerable costs. They involve a large number
of activities that must be carefully planned and coordinated to achieve the desired results,
and may take a long time to complete (Stevenson, 2002; pp. 766–767 and Kerzner, 2004; pp.
179–180).
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Project management is an approach for handling these unique, one‐time endeavors that may have long or short time horizons, significant costs, and significant effects on the
organization's operation. Since these projects include many separate activities, planning
and coordination are essential to complete them on time, within cost constraints, and with a
high quality result.
Most projects are expected to be completed within time, cost, and performance guidelines,
meaning that goals must be established and priorities set. Tasks must be identified and time
estimates made. Resource requirements for the entire project have to be projected. Budgets
have to be prepared. Once under way, progress must be monitored to make sure that project
goals and objectives are met. Through the project approach, the organization focuses
attention and concentrates efforts on accomplishing a narrow set of objectives within a
limited time and budget.
Project management can be handled by assigning existing staff to the project for its
duration. However, problems arise if the project manager lacks expertise or continues to
have responsibility for other assignments, and also later when the individual or team must
be reintegrated into routine operations. For these and other reasons, often independent
consultants are hired to take over project management for the health care providers.
Whether projects are managed internally or externally, however, it is still important for the
managers in health care organizations to understand project management concepts, in
order to successfully manage internal projects and to understand the information presented
to them by outside consultants.
The Characteristics of Projects
Projects have phases: planning, execution of planned activities, and phase‐out. Those phases are known as a project's life cycle, and typically consist of four stages:
1. Formulation and Analysis: The organization recognizes the need for a project (for
example, the need to replace a health care facility with a more modern one) or
responds to a request for a proposal from a potential customer or client (for example,
expanding health care services to secure a new third‐party contract). The expected costs, benefits, and risks of undertaking the project must be analyzed at this stage.
2. Planning: At this stage, details of how the work will flow are hammered out and
estimates are made of necessary human resources, time, and cost.
3. Implementation: The project is undertaken; most of the time and resources for a project
are consumed at this stage.
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4. Termination: The project is completed; tasks include reassigning personnel and dealing
with leftover and excess materials and equipment.
During the project's life cycle, a project brings together people with expertise and diverse
skills, who each become associated with only a portion of the project, rather than
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its full scope. Their involvement relates to their specialized skills. To manage these diverse,
skilled personnel is a challenge that is the responsibility of the project manager.
The Project Manager
The central figure in a project is the project manager, who bears the ultimate responsibility
for its organization and completion. A project manager must be able to communicate
effectively among project team members and coordinate their activities to accomplish the
objectives.
Once the project is underway, the project manager oversees a range of support activities.
Both time constraints and costs must be managed so that the project is completed within the
projected time frame and budget. Open channels of communication must be maintained so
that everybody has the information they need to do their work. The quality of the work
done must be assessed constantly to ensure that performance objectives are realized.
Workflow must be managed so that activities are accomplished in the necessary sequence.
Meanwhile, the project manager must also communicate with external constituencies such
as regulatory boards, potential patients, subcontractors, and so on. Finally, it is important to
direct and motivate the diverse people working on the project, as well as coordinate their
activities (Stevenson, 2002; p. 769).
Managing Teams and Relationships on Projects
A project manager's job has its share of headaches as well as rewards. Personnel who are
loyal to their bosses in their own functional areas have to be motivated by the project
manager towards the project's unique goals. Since the team members report both to the
project manager and to their functional bosses, the task of managing personnel with two or
more bosses can be challenging indeed, especially with the dynamic and intelligent
workforce in health care. Supervisors often are reluctant to allow their employees to
interrupt their normal responsibilities to work on a project because their absence
necessitates training replacements. Training costs may be incurred for a replacement who
will work only over the project's life span, until the incumbent employee returns. In any
case, supervisors are reluctant to lose the output of valuable employees. The employees
themselves are not always eager to participate in projects because of the potential strains of
working under two bosses in a matrix type of organization. From the employee's
perspective, working on a project may disrupt daily routines and personal relationships. It
also raises a risk of being replaced in the original position.
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Another potential strain arises from the fact that the personnel who work on a project
frequently possess specialized clinical knowledge and skills that the project manager lacks.
Yet, the project manager is expected to guide their efforts and evaluate their performance.
Apart from all these particular challenges, the environment in which project managers in
health care facilities work is constantly changing and filled with uncertainties, in spite of
which they must meet budgets and time constraints.
A project manager can, however, anticipate important rewards from adapting to and
overcoming the unique challenges of the job: the career benefits of being associated
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with a successful project and the personal satisfaction of seeing it through to its conclusion.
Many people embrace the dynamic environment of a project as a welcome diversion from
routine tasks. They welcome the challenge of working under pressure and solving new
problems. Projects may also present opportunities to meet new people and increase future
job opportunities through networking. Project participants can point to a successful project
as a source of status among their fellow workers. Finally, projects frequently generate a
team spirit that increases the satisfaction of achieving project goals (Stevenson, 2002 pp.
770–772).
Although project managers aim to have smooth operations, conflicts can occur in various
areas: (A) priorities in scheduling and sequencing the tasks; (B) among the team members;
(C) budget and costs; and (D) other administrative and technical issues.
Planning and Scheduling Projects
Planning a project starts once its objectives have been established and the project manager
and major players of the team have been identified. For planning and scheduling the project
there are useful methodologies available. The Gantt chart, the Program Evaluation and
Review Technique (PERT), and the Critical Path Method (CPM) give project managers
graphic displays of project activities and allow calculation of a time estimate for the project.
Activities are project steps that consume resources and time. The crucial activities that
require special attention to ensure on‐time completion of the project can be identified, as well as the limits for how long others’ start can be delayed.
The Gantt Chart
The Gantt chart is useful for scheduling project activities in the planning stage and then
monitoring them by comparing their actual progress to planned progress. We will illustrate
a Gantt chart, launching a new radiation oncology service, with the list of necessary
activities and their duration, in Exhibit 13.1.
The Gantt chart depicts the duration of this project as sixty‐four weeks; however, not all the activities occur at the beginning. For example, contractor selection—activity C—does not
start until land has been acquired and a radiation oncologist hired—activity B. For certain
decisions, the input of key personnel for the new service must be considered; dependency
relationships exist among the activities. Some activities cannot start until after others are
finished. Yet certain activities can be carried out parallel with others. For example, activities
D and E can be carried out during the same time frame. What other activities in this
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example can be carried out simultaneously? Since a Gantt chart displays the information on
a time scale, project managers can report the activities to their internal and external
constituencies during their implementation. They also can monitor the work of the
subcontractors for conformity to the schedule.
The Gantt chart's display of the schedule of activities is based on their sequential
relationships, and those are identified during the formulation phase of the project. They are
called dependency or precedence relationships. The activity precedence relationships for
the example of the radiation oncology facility are identified in Table 13.1.
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EXHIBIT 13.1. Gantt Chart for Launching a New Radiation Oncology Service.
This table displays the crucial information that structures the project, so that an activity
cannot be started until after a previously necessary activity has been done. Similarly, those
activities that can be performed simultaneously are identified.
Table 13.1 shows that activities A and B start around the same time and are followed by
activity C. Activities D and E follow activity C and also should start at around the same time.
Those two activities are followed by activities F and G, which should start simultaneously.
Finally, activities F and G lead to activity H, the last activity, which will complete the project.
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TABLE 13.1. Activity Precedence Relationships.
An obvious advantage of a Gantt chart is its simplicity, which makes it a very popular
management tool. However, Gantt charts cannot depict other chronological relationships
among the activities that also affect whether the project is done on time and successfully.
For example, a Gantt chart cannot show a health care manager how a delay in one of the
early activities will affect later activities. Conversely, some activities may be safely delayed
without affecting the overall project schedule, but the health care manager cannot see that
from a Gantt chart. This tool is most useful, then, for simple projects or for the early
planning on more complex projects.
PERT and CPM
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Program Evaluation and Review Technique (PERT) and the Critical Path Method (CPM) are
tools for planning and coordinating large projects. Project managers can graph the project
activities, estimate the project's duration, identify the activities most critical to its on‐time completion, and calculate how long any activity can be delayed without delaying the project
(Stevenson, 2002; p. 775).
PERT and CPM were developed independently in the late 1950s. Initially, PERT was
developed by the U.S. government and private contractors in order to speed up weapons
development, because it was believed then that the Soviet Union was ahead of the United
States in their missile programs. CPM was developed by Du Pont and Remington Rand
Corporation to plan and coordinate maintenance projects in chemical plants (Stevenson,
2002; pp. 770–772). PERT considers the probabilistic nature of
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completion times. CPM is used mostly for deterministic problems. Both methods, however,
have common features for scheduling project tasks. For instance, the project manager must
use the precedence information to visualize a network of activities, which can be
accomplished in a couple of ways.
The Network
A network is a diagram of project activities and their precedence relationships, as shown
with arrows and nodes. An activity represented by an arrow is called activity on arc
(arrow), or AOA. An activity also can be represented by a node (a circle) and is then called
an activity on node, or AON. Although in practice both representations are used, most
project management computer programs are designed using an AON network because of its
simplicity. To represent certain precedence relationships in AOA networks, a dummy arc
with no time (or resource) must be used, which certainly may confuse nontechnical users.
Figure 13.1 illustrates the conventions used for activity on arc and activity on node
networks. Three activities, A, B, and C are to be completed for the project. Activities A and B
start and finish at the same time; activity C cannot start until A and B have been finished. In
Figure 13.1, diagram (a) shows the conceptualization of these activities; diagram (b)
represents the activity on arc (AOA); and diagram (c) represents the activity on node (AON).
The activities in the AOA diagram show the consumption of resources and time. Nodes that
appear in the AOA approach represent the beginnings and completions of activities, which
are called events; since events are points in time,
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FIGURE 13.1. Network Representations.
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they do not consume resources or time. However, when the events are represented by
nodes in the AON diagram, they do represent resource and time consumption.
Most computer programs identify activities by their endpoints; so without dummy
variables, activities sharing the same endpoints could not be separated, even if they had
quite different expected durations. The AON approach usually uses more nodes, but it
eliminates the need for dummy activities. In practice, both approaches are used; neither is
more effective than the other. Most PERT/CPM computer programs can process either
method. Often the choice depends on personal preference or established procedures.
However, the AON convention is probably simpler for nontechnical users and is used in this
text.
Projects are analyzed on the basis of the information that is available. If activity times and
resource consumption are fairly certain, a deterministic analysis called the critical path
method would be appropriate. On the other hand, if the activity times and resources are
subject to variation, that leads also to variation in the project's completion, so in that case a
probabilistic approach must be used.
Critical Path Method (CPM)
Let us consider the radiation oncology example presented earlier to illustrate the CPM
method. Figure 13.2 displays the network diagram of this project using the activity on node
convention and the precedence relationship displayed in Table 13.1.
One of the main features of a network diagram is that it shows the sequence in which
activities must be performed. On AON networks, it is customary to add a start node
preceding the activities to mark the start of the project, and an end node to mark its
conclusion. Figure 13.2 shows that activities A and B must be completed before activity C
can begin, and activities D and E cannot be started until activity C is finished. In ensuing
sections, activities F and G cannot start before activities E and D are finished. Finally,
activity H can start once activities F and G are finished.
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FIGURE 13.2. AON Network Diagram for Radiation Oncology.
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A path is a sequence of activities that leads from the start node to the end node. The
radiation oncology project has eight paths, as follows:
1) A‐C‐D‐F‐H 2) A‐C‐D‐G‐H 3) A‐C‐E‐F‐H 4) A‐C‐E‐G‐H 5) B‐C‐D‐F‐H 6) B‐C‐D‐G‐H 7) B‐C‐E‐F‐H 8) B‐C‐E‐G‐H
The length of time for any path is found by summing the times of the activities on that path.
The time lengths for these eight paths, using times from Exhibit 13.1, are calculated and
shown in Table 13.2.
The critical path, or the path with the longest time, is the most important: it defines the
expected project duration. Paths that are shorter than the critical path could
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encounter some delays without affecting the overall project completion time, as long as the
highest possible path time is defined by the length of the critical path.
TABLE 13.2. Path Lengths for the Radiation Oncology Project.
In this example, path 8 (B‐C‐E‐G‐H) is the critical path, with a total project completion time of sixty‐four weeks. All activities on the critical path are known as critical activities.
The path sequences given in the above example would not be apparent in a computer
program. In order for a program to identify paths, an algorithm is used to develop four
critical pieces of information about the network activities:
ES: the earliest time an activity can start, if all preceding activities started as early as
possible
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LS: the latest time the activity can start and not delay the project
EF: the earliest time the activity can finish
LF: the latest time the activity can finish and not delay the project
Figure 13.3 shows that nomenclature, which this text uses to display those four times in a
network diagram.
By computing the ES, LS, EF, and LF, one can determine the expected project duration,
critical path activities, and slack time.
FIGURE 13.3. Activity Start and Finish Times.
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Computing ES and EF Times
Two simple rules compute the earliest start and finish times:
1. The earliest finish time (EF) for any activity is equal to its earliest start time plus its
expected duration, t:
2. The earliest start time (ES) for activities at nodes with one entering arrow is equal to the
earliest finish time (EF) of the entering arrow (the preceding activity). ES for activities
leaving nodes with multiple entering arrows is equal to the largest EF of the entering
arrow.
Computing LS and LF Times
The two rules for computing the latest starting and finishing times are as follows:
1. The latest starting time (LS) for each activity is equal to its latest finishing time minus its
expected duration:
2. For nodes with one leaving arrow, the latest finish time (LF) for arrows entering that
node equals the LS of the leaving arrow. For nodes with multiple leaving arrows, LF for
arrows entering that node equals the smallest LS of the leaving arrows.
To find ES and EF times, move forward from left to right through the network; to find LS
and LF times, move backward from right to left through the network. Begin with the EF of
the last activity and use that time as the LF for the last activity. The LS for the last activity is
found by subtracting its expected duration from its LF. Figure 13.4 shows the calculated ES,
LS, EF, and LS times for each activity. All project management software reports these values;
nevertheless, the reader is encouraged to calculate a few to gain practical experience.
The allowable slippage of time for an activity, as well as for a path, is called slack. The slack
for an activity is the difference between the latest start time and the earliest start time. It
can also be computed by taking the difference between the latest finish time and the earliest
finish time. Slack for a path is the difference between its length and the length of the critical
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path. The critical path has zero slack: all activities must start and finish at their allotted
times. Formally, two ways to compute slack time are:
or
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FIGURE 13.4. Excel Setup and Solution to the Radiation Oncology Project, CPM Version.
The four algorithms discussed previously can be used to find the critical path of a network
diagram. Any activities with zero slack time are on the critical path. Knowledge of slack
times lets project managers plan with more flexibility as well as detail for how to allocate
scarce resources. They can focus efforts on those critical path activities that have the
greatest potential for delaying the project. It is important to recognize that activity slack
times are calculated on the assumption that all the activities on the same path will start as
early as possible and not exceed their expected durations. Figure 13.4 depicts the Excel
solutions to the example of the radiation oncology project.
Probabilistic Approach
Many real‐life project networks are much larger than the simple network illustrated in the preceding example; they often contain hundreds or even thousands of activities. Because
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the necessary computations can become exceedingly complex and time‐consuming, large networks are usually analyzed by computer programs rather than manually.
Often situations arise when health care managers cannot estimate activity times with
certainty. Such situations require a probabilistic approach, which uses three time estimates
for each activity instead of one:
1. Optimistic time (o): the length of time required under the best conditions.
2. Pessimistic time (p): the length of time required under the worst conditions.
3. Most likely time (m): the most probable length of time required.
These time estimates can be made by health care managers or by others knowledgeable
about the project: contractors, subcontractors, and other professionals who have completed
similar tasks or project components. They also could provide time and cost estimates for
each task they are familiar with. Care should be taken to make the estimates as realistic as
possible. The values can then be used to find the average or expected time for each activity
t , and the variance of each activity time, σ2. That calculation uses a beta distribution,
where the expected time (mean) is computed as a weighted average of the three time
estimates:
The standard deviation of each activity's time is estimated as one‐sixth of the difference between the pessimistic and the optimistic time estimates. The variance is then found by
squaring the standard deviation:
The size of the variance reflects the degree of uncertainty about an activity's time; the larger
the variance, the greater the uncertainty. After completing the average time estimates and
the variances for each activity, the analysis returns to the paths in the project network, since
completing a project on time depends on the path completion times. The completion time
for any path is a simple sum of all activity time estimates:
The standard deviation of the expected time for each path can also be computed, by
summing the variances of the activities on a path and then taking the square root of that
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number:
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Once the probabilistic expected path times and their standard deviations are determined, a
health care manager can calculate the probability that the project will be completed by a
specified time, as well as the probability that it will take longer. Probabilistic estimates in
network diagrams are based on the assumption that the duration time of a path is a random
variable that is normally distributed around the expected path time. That follows from the
fact that activity times (random variables) are being summed and that sums of random
variables tend to be normally distributed when the number of items (here, project
activities) is large, as is frequently the case with PERT projects. Even when the number of
items is relatively small, the normal distribution provides a reasonable approximation of
the actual distribution.
For probabilistic time estimates, it is assumed that path duration times are independent of
each other, meaning activity times are independent of each other and that each activity is
on only one path. The reason for using the independence assumption is simple: finding the
probability of when an individual path will be completed makes sense only if that path's
activities are independent of other paths. In a large project with many paths, the
independence assumption is considered to be met if only a few activities are shared among
paths. Project managers use common sense to decide whether the independence
assumption is justified.
One final, important point before looking at a probabilistic network example: sometimes a
path other than the critical path takes longer to complete, making the project run longer
than expected. Therefore, it can be risky to focus exclusively on the critical path. Health
care managers must always consider the possibility that at least one other path will delay
the overall completion of the project beyond the expected time. They therefore should
compute the probability that all paths will finish by a specified time. To do that, find the
probability for each path finishing by its specified time and multiply the resulting
probabilities to find the joint probability of timely completion.
The probabilistic PERT concepts are illustrated in Example 13.1 using the earlier radiation
oncology case adapted to probabilistic time outcomes.
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Example 13.1
In planning for a new radiation oncology clinic, project managers determined that due to
the nature of some of the activities, time estimates vary. After consulting with experts in
each of the activity areas, they have calculated the optimistic, pessimistic, and most likely
time estimates, in weeks, as shown in Table 13.3.
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TABLE 13.3. Probabilistic Time Estimates for Radiation Oncology Clinic.
The network diagram for this project was shown in Figure 13.2, and the paths and activities
for each path were shown in Table 13.2. In order to calculate project completion time
probabilities, first we must calculate the expected time and variance for each activity and
path. Table 13.4 displays the calculations for each activity and path: the means (t ) and
standard deviations (s) for all eight possible paths for the project. Given this information,
the health care project manager can develop probabilistic estimates for the completion of
the project, for various specified opening times or target dates (t ). The expected completion
times of paths (t ) vary from forty‐six (ACDFH) to sixty‐four (BCEGH) weeks. Therefore, in calculating the project completion probabilities for a target date, all paths must be
considered, especially those closest to the critical path.
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Although we computed each activity's mean and variance using a beta distribution, path
means and variances, on the other hand, are normally distributed (having many activities
approximates to normality by invoking the central limit theorem). The critical path in this
example is path 8 (BCEGH), which has the longest expected completion time. Besides that,
the expected time can go beyond sixty‐four weeks because of variation (standard deviation of approximately five weeks). That is, if sixty‐four weeks is the average completion time (t ), that indicates 50 percent completion probability under the normal curve. For an additional
five weeks (one standard deviation, or
e
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z = 1), or specifically by week sixty‐nine (t ), the project completion probability can be improved to 84 percent. Figure 13.5 illustrates this concept. Completion probability nears
100 percent when the standard deviate z is 3.5 or more.
TABLE 13.4. Calculation of Expected Time and Standard Deviations on Each Path for the Radiation Oncology Clinic.
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Again, note that each path's expected duration time is assumed to be independent, that is,
each activity is on one path, and activity times are independent of each other. However, if a
few activities are on multiple paths, we can assume a weak independence.
Table 13.5 depicts the calculation of z‐values for each path in the example, for sixty‐five weeks as the targeted completion time. As can be observed, paths 1 through 4 have z‐values
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greater than 2.5, so those paths should have no significance for completion of other paths.
To observe the impact of the remaining four paths (5 through 8), we can calculate the
probabilities, as shown in Figure 13.6.
The last step in the analysis is the computation of joint probability, that is, we are interested
in the joint effect of all the paths on the completion of the project. This is a simple
multiplication of the completion probabilities of the significant paths (paths 5 through 8).
The probability of completion of this project within sixty‐five weeks is:
P (completion by sixty‐fifth week) = .9082 ×.7881×.7852×.5793 = .3255 or 32.5 percent.
FIGURE 13.5. Project Completion Probabilities by the Specified Time.
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TABLE 13.5. Path Completion Probabilities.
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FIGURE 13.6. Completion Probabilities for Sixty - Five Weeks.
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Similarly, one can compute the probability of completion for other target days such as sixty‐ six, sixty‐seven, and seventy weeks.
P (completion by sixty‐sixth week) = .9345 × .8365×.8389 × .6700 = .4394 or 43.9 percent.
P (completion by sixty‐seventh week) = .9545 × .8770×.8830 × .7486 = .5533 or 55.3 percent.
P (completion by seventieth week) = .9871 × .9573×.9625 × .8869 = .8066 or 80.7 percent.
The Case of a Dominant Critical Path
If a critical path is dominant (no other paths are significant for completion probabilities),
then joint probabilities need not be calculated. In such a case, software programs can
calculate the completion probabilities for any number of targeted completion times. The
Excel solution to the probabilistic radiation oncology project is shown in Figure 13.7. Figure
13.7 also depicts the solution for P (completion by the sixty‐fifth week) as 58% and the completion time for target probability of 95% as about seventy‐two weeks.
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FIGURE 13.7. Excel Setup and Solution to the Probabilistic Radiation Oncology Project.
Source: Screen shots reprinted by permission from Microsoft Corporation.
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