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IEMS 317: Discrete-Event Systems Simulation

Quarter Offered

Winter : MWF 9:00-9:50 AM (Lab: W 2:00, 3:00 PM) ; Nelson

Prerequisites

IEMS 303; 310 or 315

Description

Computer simulation of discrete-change systems subject to uncertainty. Choice of input distributions; development of models; design and analysis of simulation experiments. Miniprojects, exams, and computer labs.

  • This course is a major requirement for Industrial Engineering

 LEARNING OBJECTIVES

  • Develop complex simulation models of real or conceptual systems subject to risk
  • Design an effective simulation experiment to be run on the model
  • Analyze, interpret and communicant the simulation results
  • Manage simulation projects

 TOPICS

  • Spreadsheet and systems simulation
  • Selecting probability distributions with and without data
  • Measures of risk and error
  • Experiment design
  • Assessing sensitivity and model risk
  • Random-number and random-variate generation
  • Simulation optimization
  • Reporting simulation results

REQUIRED COURSE MATERIALS:

  • W. David Kelton, Jeffrey S. Smith, David T. Sturrock. 2021. Simio and Simulation: Modeling, Analysis, Applications, 6th edition. Access this book for free.
  • Course pack with lecture notes and labs (approximately $25).