Supply Chain Management

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casestudymethod.pptx

What Is a case study?

Description of a real‐world business situation involving a problem to be analyzed/solved and a decision to be made.

Case studies are usually complex with incomplete information and constraints.

Case studies place students in the role of a decision makes. There are no simple solutions, but in‐depth analysis, exchanges of perspectives, critical thinking help to make difficult decisions

Case study Analysis

1. Short Cycle Process

– Quickly read the case to get an overview

– Also, take the following steps:

• Review the case subtitles • Look at exhibits and figures provided

• Read the case questions (if any)

– Identify: • Decision maker in the case and its

position/responsibilities/role

Main issue and importance for the organization

Reasons for issue and level of urgency

Case Study Analysis

2. Long Cycle Process

– Detailed reading of the case (summarize paragraphs, background information, core problems, alternatives, etc.)

– In‐depth case discussion: • Step 1: In‐depth analysis • Step 2: Analyze case data • Step 3: Generate alternatives • Step 4: Key decision criteria • Step 5: Evaluate alternatives • Step 6: Derive recommendation(s)

Step 1: In‐depth analysis

• Define the issue(s) – What is/are the issue(s) that need to be resolved within the

context of the case?

• Symptoms vs. Root‐cause – Differentiate the symptoms of the problem (what is visible) from the problem itself

–  Understand the cause‐effect link

–  Identify the root cause(i.e., key‐problem that causes problems)

• Characterize issue(s) based on:

– Importance/Relevance – Urgency – Solvability

Step 2: Analyze case data

Analyze and understand the data

Understand limitations and opportunities of provided data

– Content: What information is provided? – Completeness: If data is incomplete, what assumptions are necessary and reasonable?

– Usefulness: Can the data support my analysis? How can I use the data to derive better alternatives?

Step 2: Analyze case data

• Use Decision support tools to...

– analyze the problem, – identify potential solutions.

• Some tools/frameworks/techniques:

-Kraljic’s Matrix -SWOT Model -Porter’s Five Forces Model -Total Cost Analysis -Sensitivity Analysis -Analytical Tools (simulation, forecasting, optimization, ...) ...

‐ be creative

Step 3: Generating alternatives

Be practical, realistic and relevant

–  Relevant: Do alternative help to solve the key problem?

–  Practical: Are proposed alternatives feasible?

– Realistic: Make reasonable assumptions where necessary. Avoid unrealistic alternatives that are beyond the scope of the case and lead to more questions than answers

Note: Not doing anything is (usually) not an option

Step 4: Key decision criteria

• Key decision variables help to identify alternatives that solve key problem (and symptoms) effectively/efficiently

• Potential key decision variables – Profitability, RoA, RoI – Sales, market share – Customer satisfaction, corporate image – Employee morale, safety, turnover, etc. – Improve flexibility, resilience, sustainability

• Choice of one or more key decision variables depends on case study

Step 5: Evaluating alternatives

• Ways to compare alternatives:

– Pros and cons analysis

– Ranking method

– Financial analysis (e.g., net present value)

– Weighted‐point system (if you have more than one decision variable)

• What else to consider:

-Compare long‐ vs. short‐term effects -Consider required investments, organizational changes, etc.

-Think of obstacles when implementing your decision

- Reflect on unintended consequences that haven’t been considered before

Step 6: Deriving recommendations

• Present plan with your recommendations:

-Support recommendation with key decision variable.

- Explain how recommendations solve problem (root‐cause) and address symptoms

-Explain necessary steps necessary to implement solution, e.g., timeline and required investments

-Make sure to be convincing (“sell” your proposal)!