Course Catalog

GRAD > MBAMS > 655

Simulation Modeling and Analysis

Simulation Modeling is a discipline for developing a level of understanding of the interaction of the parts of a a system, and of the system as a whole. A system is understood to be an entity which maintains its existence through the interaction of its parts. A model is a simplified representation of the actual system intended to promote understanding. This course builds on the coverage of simulation in the core Operations Management and Decision Science courses and deepens the student's knowledge and abilities in performing simulation studies in a variety of application areas. It also introduces the students to discrete-event simulation for modeling systems with queuing behavior, and dynamic system simulation for modeling systems with feedback. The course begins with a review of the basics of Monte Carlo simulation modeling using spreadsheets: deterministic modeling and sensitivity analysis, identifying random variables, selecting probability distributions, structuring simulations, and analyzing outputs. The next portion of the course focuses on studying model queuing behaviour in systems such as manufacturing processes, service sector business processes, and call center operations.

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