A wide range of applications are included that illustrate the usefulness and effectiveness of optimization in real-world decision making. IEE 476 or 546, MA 242. IEE 575 Applied Stochastic Operations Research Models . Students formulate and solve industrial systems problems that include stochastic components using analytical techniques including convolution, continuous-time Markov chains, queues with batching, priorities, balking, or reneging, and open and closed queueing networks. The relationship of these techniques to simulation is developed.
Emphasis is on applications and projects.
IEE 591 Modeling and Analysis of Semiconductor Manufacturing . Concepts of how modeling and analysis tools and techniques can improve decision making in semiconductor manufacturing are covered. IEE 633 Advanced Scheduling 15. IEE 674 Advanced Optimization . Students learn advanced optimization techniques focusing on combinatorial problems by developing and analyzing effective solution procedures.