Operations Analytics

Catalog description

This course examines the application of data analytic techniques to operations management problems. Selected data analytic techniques will be introduced to help make operational decisions in certain and uncertain business environments, such as linear programming, non-linear programming, integer programming, goal programming, network optimization, decision trees, and simulation. The usefulness of these analytic techniques will be illustrated through examples drawn from functional areas of operations management, such as production planning, capacity constraints, deterministic and stochastic inventory management, transportation, global supply chain network design, and production scheduling.