IND E 424 Simulation

In this course, students will learn the processes, tools, and techniques for performing effective simulation analyses, specifically: I) (the basic underlying principles of) how simulations work (25%), II) how to collect and analyze input data (15%), III) how to build basic simulation models using Arena (25%), IV) how to verify and validate simulation models (10%), and V) how to interpret (and perform statistical analyses of) simulation output (25%).

Co-/Pre-requisites: IND E 337 and IND E 411, or permission of instructor.

Textbooks:

W. David Kelton, Randall P. Sadowski, and Nancy B. Swets (2009). Simulation with Arena, (at Amazon.com), 5th Edition, McGraw-Hill.

Jerry Banks, John S. Carson, Barry L. Nelson, and David M. Nicol (2009). Discrete-Event System Simulation, (at Amazon.com), 5th edition, Prentice Hall.

Topics Covered:

Introduction to Simulation
Simulation of a Queuing System (Hand Simulation)
A Guided Tour Through Arena
Simple Processing Model
Key Probability Distributions
Input Modeling and Data Collection
Input Analyzer
Modeling Basic Arena Operations
Animation
Verification and Validation
Advanced Arena Operations: Sets, Variables, and Expressions
Output Analysis for Terminating Simulations
Output Analyzer
Warm-up Periods
OptQuest
Generating Random Numbers and Random Variates
Monte Carlo Simulation