|
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
|
|
|
1
|
2
|
3
|
4
|
|
1.1
|
|
|
|
|
|
1.2
|
|
|
|
|
|
1.3
|
|
|
|
|
|
1.4
|
|
P
|
|
|
|
|
|
|
|
|
|
2.1
|
P
|
|
P
|
|
|
2.2
|
|
|
|
|
|
2.3
|
|
|
|
|
|
2.4
|
|
|
|
|
|
|
|
|
|
|
|
3.1
|
P
|
|
P
|
|
|
3.2
|
|
|
P
|
|
|
3.3
|
|
|
P
|
|
|
3.4
|
|
|
|
P
|
|
3.5
|
|
|
|
P
|
|
|
|
|
|
|
|
4.1
|
|
|
|
|
|
4.2
|
|
|
|
|
|
4.3
|
|
|
|
|
|
|
|
|
|
|
|
|