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:
- Identify whether a problem should be solved by simulation or not, and if so, decide the appropriate simulation form.
- Construct appropriate simulation models for the problem.
- Decide the input modeling (i.e., the simulation model’s input) with data and know which questions to ask/data to collect.
- Calculate the run length required for stochastic simulations based on the desired statistical precision.
- 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.
- 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