It will enable the students to think structurally about decision problems and become intelligent users of management science techniques. The emphasis is on developing the ability to identify and use the appropriate technique for practical application rather than the underlying theory. Key areas covered include demand forecasting, inventory theory and control, and models of sourcing and procurement. Students learn the key tradeoffs involved in making supply chain decisions using quantitative models and the strategic insights derived from them. This course provides one of the key building blocks for an in- depth understanding of supply chain management issues. The ultimate goal is to equip students with the necessary tools to improve the system performance (i.e., increasing throughput, improving customer service) in a supply chain setting given the constraints. Commonly used transportation network optimization, routing and scheduling with inventory consideration, capacity management, flow management principles and push/pull systems are discussed. Critical factors (costs, variability, labor/space/financial constraints) have a significant impact on the system performance. This course provides the students with an understanding of how logistics systems behave.
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