2 credits
Spring 2026 Lecture Departmental CreditUpper Division
Supply Chain Analytics focuses on data-driven and rigorous decision making in supply chain management. It is a complete problem solving and decision making process, and integrates a broad set of analytical methodologies that enables the creation of business value. Prerequisites: MGMT 66000 (or equivalent course) and MGMT 67000 (or equivalent course).
Learning Outcomes1Learn a systematic set of current popular analytical methodologies, including (1) data management and exploration (database management, data visualization, etc.), (2) data analysis (statistical methods, time series analysis, etc.), (3) modeling (math models, advanced spreadsheet engineering, etc.), and (4) decision analysis (optimization, simulation, numerical analysis, etc.).
2Use these methodologies in a large-scale supply chain simulation game and to analyze cases involving multiple supply chain functions, such as forecasting, procurement, inventory, transportation, pricing, contract, revenue management, and reverse supply chain.
Restrictions
GPA by professor
made by Purdue students.