IE 371

Use of discrete-event simulation in the modeling and analysis of complex systems subject to uncertainty. At the end of the course, the students should be able to develop simulation models of complex, real-life systems; design simulation experiments; analyze and interpret the results of the simulation; and effectively organize and present simulation-based projects. The main part of the class will be spent on the development of simulation models using software such as Arena by Rockwell. Other topics of the course also include input modeling, selecting distributions, generating random variables, sensitivity analysis, simulation optimization, and reporting and analyzing simulation outputs. Course Information: Prerequisite: IE 300 and IE 310. Restricted to Junior and Senior Standing.