ISE 562 Simulation Modeling

3 Credit Hours

(also offered as OR 562 and TE 562)

This course concentrates on design, construction, and use of discrete/continuous simulation object-based models employing the SIMIO software, with application to manufacturing, service, and healthcare. The focus is on methods for modeling and analyzing complex problems using simulation objects. Analysis includes data-based modeling, process design, input modeling, output analysis, and the use of 3D animation with other graphical displays. Object-oriented modeling is used to extend models and enhance re-usability.

Prerequisites

ISE 362, 560, or equivalent containing basic knowledge of stochastic systems and queuing theory.

Course Topics and Objectives

Upon completion of the course students will be able to:

1. Identify whether a problem should be solved by simulation or not, and if so, decide the appropriate simulation form.
2. Construct appropriate simulation models for the problem.
3. Decide the input modeling (i.e., the simulation model’s input) with data and know which questions to ask/data to collect.
4. Calculate the run length required for stochastic simulations based on the desired statistical precision.
5. Identify and estimate the performance measure, the experimental variability or quality of the estimated outcome, whether the outcome of interest behaves similarly across time or is non-stationary, and adjustments to analyzing the output data.
6. Solve the problems (e.g., strategy selection, estimation of throughput, etc.) based on the simulation results with specific emphasis on stochastic uncertainties and risks.

Course Requirements

45%	– 3 Group Projects
30%	– 13 Quizzes
25%	– Final Exam (Comprehensive)

Textbook

• (required) Simulation with Simio – Jeffrey Allen Joines and Stephen Dean Roberts
  • Edition: Fourth Edition (other versions with similar titles do not contain all the material covered in this class)
  • Web Link: https://textbook.simio.com/books/Workbook-4.php
  • The textbook may be purchased only from the web site.
• (recommended) J. Banks, J.S. Carson II, B.L. Nelson, D.M. Nicol, Discrete-Event System Simulation, 5th ed. Prentice Hall, 2010. (Similar level to this class.)

Updated: 01/05/2022