3.00 Credits
This course presents various analytical approaches that are often utilized by businesses to design, manage, and improve their supply chains. The optimization techniques such as linear programming (LP), integer programming (IP), mixed integer programming (MIP), and nonlinear programming are discussed in the course. The course focuses on the process of creation of analytical models and solution techniques (algorithms) in the context of supply chain management. The use of Queuing theory and simulation approaches are also explored in the course. Students use a variety of software (Spreadsheet, etc.) and algorithms for modeling and problem solving.