3 credits
Fall 2025 Lecture Upper DivisionThis course 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 (data analysis, optimization, and simulation). Students will implement these methodologies in both Excel and in Python, and they will learn how to use AI to augment and support their coding abilities. MGMT 30600 is highly recommended but not required. Basic Calculus, Statistics, and Excel literacy are required.
Learning Outcomes1Gain analytical insights on major supply chain tradeoffs.
2Know supply chain functions: demand forecasting, procurement, inventory, transportation, pricing, contract, revenue management, reverse supply chain and integration of multiple functions.
3Know a systematic set of analytical methodologies to use effectively in their future careers.