Current course

Business Analytics Using Simulation

A case-based course on simulation, uncertainty, and managerial decision making in marketing and supply chain contexts.

Course description

Simulation as a Decision-Support Tool

In many business settings, decisions are made before outcomes are known, and their consequences unfold over time through systems that are only partially understood. This course studies how managerial decisions perform once they meet the realities of markets and operating systems.

Through case-based simulations, students step into decision-making roles, make choices under incomplete information, observe responses, and diagnose the mechanisms behind performance.

Modules

Case-Based Analytics Across Marketing and Supply Chain

01

Marketing

Students analyze demand creation, customer response, targeting, experimentation, and product design decisions.

  • Marketing response and budget allocation
  • Customer lifetime value and retention
  • Segmentation and customer heterogeneity
  • Conjoint analysis and attribute trade-offs
  • A/B testing and marketing diagnosis
02

Supply Chain

Students evaluate fulfillment, capacity, timing, coordination, resilience, and system-wide instability.

  • Inventory dynamics and replenishment
  • Demand forecasting and forecast error
  • Lead time, backlog, and stockouts
  • Sales and operations planning
  • Bullwhip effect and capacity allocation

Selected simulations and cases

Business Contexts Students Will Analyze

Coca-Cola Campaign Allocation

Marketing response, budget allocation, and diminishing returns.

Netflix Membership Acquisition Portfolio

Customer lifetime value, acquisition cost, churn, and retention.

Nike Digital Campaign Targeting

Segmentation, targeting, and customer heterogeneity.

Uber Eats Promotion Diagnosis

Model limits, fragile assumptions, and bootstrap resampling.

7-Eleven Fresh Food Replenishment

Inventory balance, flows, costs, and responsiveness.

ASUS Gaming Laptop Holiday Launch

Scenario analysis, capacity planning, and cross-functional coordination.

Giant Bicycle Demand Shock

Resilience, demand shocks, capacity constraints, and robustness.

Beer Game Simulation

Bullwhip effect, coordination failure, and system-wide instability.

Files

Course Materials

Students and visitors can open the current syllabus as a PDF. Additional course files can be added here later as the course develops.

Open Syllabus