BUS-P 481 Supply Chain Planning and Analytics
At the intersection of supply chain management and data analytics, this course showcases a quantitative approach to modeling managerial tradeoffs and selecting among data-driven alternatives. It provides a deep-dive into analyzing, planning, and managing supply and demand in a supply chain. The course integrates a wide spectrum of activities involved in managing the supply chain such as developing forecasts that are then fed into sales and capacity plans, which is followed by devising control policies that connect inventory with the planning process. Topics include: static and adaptive forecasting, aggregate planning, sales and operations planning, deterministic and stochastic inventory models, optimal product availability, and revenue management. Leveraging their analytics toolkit, students learn how to translate real-world situations into a mathematical model and apply linear programming to optimizing operations.