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  IME 468 - Operations Research - Simulation

 

COURSE DESCRIPTION

Industrial and Manufacturing Engineering-Operations Research - Simulation (3) (3,0) (IME 468)   Elective Course

Fall Semesters 2007-2008

 

 

2007 - 2008    Catalog Data:

468 -3 Operations Research - Simulation (Same as OR 442). Simulation models using a high-level simulation programming language; applications in production, inventory, queuing, other models. Prerequisite(s): IME 365 or equivalent or consent of instructor.

 

 

Textbook(s):

W.D. Kelton, R.P. Sadowski, and D.A. Sadowski, Simulation with ARENA, McGraw Hill, 3rd Edition, 2004.

C. D. Pegden, R. E. Shannon, and R. P. Sadowski, Introduction to Simulation Using SIMAN, McGraw Hill, 2nd Edition, 1995

 

 

Coordinator:

H. Felix Lee, Professor of Industrial Engineering.

 

 

Objectives:

The primary objective of this course is to provide industrial engineering students with knowledge and practices on how to use computer simulation methods in solving engineering problems that arises in various systems such as inventory systems, manufacturing & warehouse facilities, hospitals, service industries, computer networks, etc. 

 

 

Topics and Schedule:

1.         Introduction to Discrete-Event Simulation (6 hours).

2.         Random Number Generation (3 hours).

3.         Basic Modeling in SIMAN/ARENA (12 hours).

4.         Substation Modular Modeling (6 hours).

5.         Advanced Modeling (6 hours).

6.         Model Verification and Validation (3 hours).

7.         Data collection and Curve Fitting (3 hours).

8.         Statistical Output Interpretation and Animation (6 hours).

 

 

Professional Component:

This course introduces design methodologies using discrete-event simulation method to develop computer models and conduct experiments in order to support decision making processes. This course is an engineering topics course with significant engineering design content.

 

 

Course Outcomes:

Students successfully completing this course will have the ability to:

 

1.  Understand computer simulation (what it is, when to use it, how it works, what types of simulation, etc.).

2.  Understand curve fitting and random number generation processes.

3.  Model and program simulations using high-level commercial software SIMAN/ARENA for discrete event systems.

4.  Interpret simulation output data.

 

 

Prepared by:

H. Felix Lee, Professor in Industrial Engineering.

 

 

Date:

May 24, 2008

 

Program Educational Objective.Outcome

General Course Outcomes

IME 468 Operations Research - Simulation

 

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©2007
Southern Illinois University Edwardsville
Last Updated: June 12, 2008