In this lecture, we introduce the three different kinds of simulation modeling (system dynamics modeling, agent-based modeling, and discrete event system simulation) and how they differ in the kinds of questions they help answer, the way they are programmed, and the computational resources that they require. We then introduce the fundamental concepts required for discrete event system modeling and start to discuss aspects of stochastic simulation and input modeling.
Archived lectures from undergraduate course on stochastic simulation given at Arizona State University by Ted Pavlic
Thursday, August 27, 2020
Lecture A2 (2020-08-27): Introduction to Simulation Modeling
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Tempe, AZ, USA
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