Topics in Revenue and Supply Chain Manag

Analytics and e-commerce have drastically increased the sophistication both in how goods are sold to customers, and how these goods are fulfilled. Examples of the former include dynamic pricing, recommending product assortments, and personalized coupons, and are studied in the area of Revenue Management; examples of the latter include flexible products and dynamic warehouse selection, and are studied in the area of Supply Chain Management. This research-oriented course will review recent developments in both of these areas and discuss open directions; there will also be a slant toward learning how to apply the techniques of linear and integer programming, analysis of online algorithms, and mechanism design. This course is meant for Ph.D. students in operations research, industrial engineering, computer science, or related departments who are familiar with optimization and probability at the introductory graduate level.