Objective:

To apply multi$-$criteria decision analysis methods to a real business scenario, allowing students to explore and understand different decision$-$making techniques such as goal programming, scoring models, and the Analytic Hierarchy Process $($AHP$).$

Project Description:

Students will be divided into teams, each tasked with analyzing a complex business decision scenario requiring the balancing of multiple objectives. Each team will select a decision$-$making problem based on their interests which could involve a startup, a non$-$profit, or a multinational corporation facing strategic choices.

Scenarios could include:

$-$ Choosing the best location for a new manufacturing facility.

$-$ Developing a new product launch strategy.

$-$ Restructuring a company's investment portfolio.

$-$ Selecting the right mix of projects for corporate social responsibility initiatives.

Tasks:

$1.$ Identify Decision Criteria:

Define the various factors that impact the decision such as cost$,$ environmental impact, stakeholder interests, and long$-$term viability.

$2.$ Choose Decision Analysis Techniques:

Each team chooses one primary method $($goal programming, or AHP$)$ to focus on$,$ but must also discuss the applicability of the other methods.

$3.$ Model the Decision Process:

Construct models using the selected techniques to evaluate different decision alternatives.

$4.$ Conduct a Comparative Analysis:

Analyze outcomes using the selected method and compare briefly with what would have been if other methods were used.

$5.$ Prepare a Decision Report and Presentation:

Document the decision$-$making process, analysis, and final recommendations in a detailed report and prepare a presentation for the class.

Deliverables:

$-$ Decision Analysis Report:

This document should include an introduction to the chosen scenario, description of the decision criteria, methodology applied, analysis, and final recommendations.

Evaluation Criteria:

$-$ Complexity and Creativity in Problem Selection: How well the chosen problem demonstrates the complexities of real$-$world business decisions.

$-$ Appropriateness and Execution of Decision Analysis Method: Accuracy in the application of the decision analysis methods and the logical consistency of the conclusions.

$-$ Quality of Analysis and Recommendations: Clarity, depth, and practicality of the analysis and the strategic soundness of the recommendations.

$-$ Presentation and Reporting Skills: Effectiveness in communicating the project findings and recommendations.