Ahad Ali, Ph.D. Assistant Professor Department of Mechanical Engineering Lawrence Technological University 21000 West Ten Mile Road Southfield, MI 48075 Tel: 248-204-2531, Fax: 248-204-2576 Email: aali@ltu.edu |
Center for Integrated Manufacturing Systems Intelligence (CSSI) |
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EME 5603: Engineering Systems Simulation
Faculty:
Office: E037
Email: aali@ltu.edu
Web page: http://vfacstaff.ltu.edu/aali/
Tel: 248 204 2531, Fax: 248
204 2576
Lecture:
Friday,
5:45 pm - 8:25 pm
Classroom:
E030
Office
hours: Tuesday and Friday, 3:00 –
5:30pm or by appointment
Catalog
Description:
This course explains the principles of
systems modeling and simulation. It describes the different types of computer
modeling and simulation: continuous, kinematics, and discrete-event simulations.
It explains
how these simulation techniques are utilized as design, analysis,
problem-solving, and decision-support tools for complex systems. Topics include:
principles of modeling and simulation,
types of simulation models and techniques, building valid credible
models, selecting input probability distribution, statistical analysis of
output, design of simulation experiments, and variance reduction techniques in
simulation. Competencies and collaborative e-learning will be demonstrated by
students conducting modeling and simulation projects. A project report and an
oral presentation are required from each team.
The
Internet Course site: Blackboard my.ltu.edu
Prerequisites:
Senior or graduate standing and
MCS3403 Probability & Statistics
Objectives:
Upon
completion of this course the students should be able to:
·
Describe the different types of computer
modeling and simulation methods
·
Identify situations in which use of simulation
is appropriate
·
Model and simulate continuous and discrete
systems
·
Gain insight into system behavior by measuring
the performance characteristics of proposed new systems or effects of
modifications proposed for existing systems
·
Design and conduct fundamental simulation
experiments for answering “what if” questions
·
Critically evaluate decision-support results produced by
simulation
·
Apply a professional simulation language/package to conduct
simulations of various engineering systems
I.
What is simulation?
II.
Fundamental simulation concepts
III.
Modeling basic operations and
inputs
IV.
Modeling detailed operations
V.
Statistical analysis of output
VI.
Steady state statistical analysis
VII.
Verification and validation
Textbook:
Kelton,
W. David, Randall P Sadowski, and David T Sturrock, 2007,
Simulation with Arena, 4th
Edition, McGraw-Hill, ISBN
0-07-3523415.
Grading
Policy:
Class Projects &
Participations
10 Points
Homework
20 Points
Midterm Exam
25
Points
Final Project
25 Points
Final Exam
20 Points
A 91, A- 87, B+
83, B 80, B- 74, C+
67, C 60, F < 60
Academic
Honor Code:
Academic
integrity and honesty are basic core values of
Cheating
will not be tolerated! LTU’s Academic Honor Code is in effect. Students caught is cheating will
receive an F in the course without the chance of recomputation for GPA purposes.
A note to this effect will be placed in the student’s file. A second offence
will result in expulsion from the university. For details about Academic Honor
Code see: http://www.ltu.edu/currentstudents/honor_code.asp
Course
Outlines:
Date |
Topics |
|
|
Syllabus
and Introduction |
Chap
1 |
|
Fundamental
simulation concepts |
Chap
2 |
|
Arena
Module, Logic, Template: Basic and Advanced |
Chap
3 |
|
Modeling
basic operations and inputs |
Chap
4 |
|
Modeling
detailed operations |
Chap
5 |
|
Mid-semester
break |
|
|
Mid Term |
|
|
Statistical
analysis of output |
Chap
6 |
|
Steady
state statistical analysis |
Chap
7 & 8 |
|
Verification
and validation |
Notes |
|
Design
and Conducting of Simulation Experiments
|
Notes
|
|
Final
Project Presentation and Report
Submission |
|
|
Final
Exam |
|
Course
Project:
A
project is required from all students and should be related on real life
applications where the course materials could be used for the project. The main
purpose of the project is to use simulation for real-life applications. The
project will be based on Systems Modeling – facility or process, actual
or planned in the applications of manufacturing
systems, bank operations, airport
operations, logistics, supply chain, hospital operations,
chemical/pharmaceutical plants, fast-food restaurants, supermarket, theme park,
emergency-response system, etc.
Because
of the size of the class, you will be allowed to work in teams of up to 3
students. There will be an oral presentation of the project and the written
documentation of the study in a clearly, concisely written report form.
In addition, each student will evaluate the other
members of the group using an evaluation form that will be handed out towards
the end of the semester. The results of these evaluations will be used in
assigning the project grade of each student. Each group project will be assigned
an overall grade and then each student will be assigned certain percentages of
that grade depending upon his/her evaluation by the other group members.
Recommended
References:
Banks,
J., J. S. Carson II, B.L. Nelson, and D. M. Nicol. 2001. Discrete-Event
System Simulation, 3rd Edition, Prentice Hall Inc.
Harrell,
Charles R., Biman K. Ghosh, and Royce O. Bowden. 2004. Simulation
Using Promodel, McGraw-Hill, 2nd Edition.
Law,
Averill M., and W. David Kelton. 1999. Simulation Modeling and Analysis,
3rd edition.
Roberts, N., Andersen, D., Deal, R.,
Garet, M., and Shaffer, W. 1994. Introduction to
Computer Simulation – A System Dynamics Modeling Approach, Productivity
Press,
Recommended
Articles:
Alexopoulos,
Christos. 2006. A Comprehensive Review of Methods for Simulation Output
Analysis, Proceedings of the 2006 Winter
Simulation Conference, 168-178.
Alexopoulos,
Christos, and Andrew F. Seila. 1998. Advanced Methods for Simulation Output
Analysis, Proceedings of the 1998 Winter Simulation Conference, 1:
113-120.
Ali,
A. and R. de Souza. 2007. Modeling and
Simulation of Hard Disk Dive Final Assembly using a HDD Template, 2007
Winter Simulation Conference, Washington DC, December 9-12.
Ali,
A., H. Seifoddini, and H. Sun. 2005. Intelligent Modeling and Simulation of
Flexible Assembly Systems, Proceedings of
the 2005 Winter Simulation Conference, 1350-1358.
Balci, O. 2001. A Methodology for Certification of Modeling and
Simulation Applications. ACM Transactions
on Modeling and Computer Simulation, 11(4): 352-37.
Balci,
Osman. 1998. Verification, Validation, and Accreditation, Proceedings of the
1998 Winter Simulation Conference,
1: 41-48.
de Souza, R., and Z.Z. Ying. 1997. Intelligent Simulation of a Final
Assembly in Hard Disk Drive Industry. Proceedings
of the World Congress on System Simulation (WCSS’97),
Guru, A., and P. Savory. 2004. A Template-Based Conceptual Modeling
Infrastructure for Simulation of Physical Security Systems. Proceedings
of the 2004 Winter Simulation Conference, 866-873.
Hasgül, S., and A.S. Büyüksünetçi. 2005. Simulation Modeling and
Analysis of a New Mixed Model Production Line, Proceedings of the 2005 Winter Simulation Conference, 1408-1412.
Jadhav, P.D., and J.S. Smith. 2005, Analyzing Printed Circuit Board
Assembly Lines Using a PCB Assembly Template, Proceedings of the 2005 Winter Simulation Conference, 1335-1342.
Law,
Averill M., and Michael G. McComas. 1998. Simulation of Manufacturing Systems, Proceedings of the 1998
Winter Simulation Conference, 1: 49-52.
Leemis,
Lawrence. 1998. Input Modeling, Proceedings of the 1998 Winter Simulation
Conference, 1: 15-22.
Sargent, R.G. 2004. Validation and Verification of Simulation Models. Proceedings
of the 2004 Winter Simulation Conference, 17-28.
Schriber, Thomas J., and Daniel T. Brunner. 2006, Inside
Discrete-Event Simulation Software: How It Works and Why It Matters, Proceedings
of the 2006 Winter Simulation Conference,
118-128.
Schriber,
Thomas J., and Daniel T. Brunner. 1998. Inside Discrete-Event Simulation
Software: How It Works and Why It Matters. Proceedings of the 1998 Winter
Simulation Conference, 1: 77-85.
Standridge, Charles R., and Jon H. Marvel. 2006. Why
Lean Needs Simulation, Proceedings of the 2006 Winter
Simulation Conference, 1907-1913.
Modeling
and Simulation Internet Resources:
·
AnyLogic, XJ Technologies, http://www.xjtek.com/anylogic/
·
Arena Simulation Software, Rockwell Automation, http://www.arenasimulation.com/
·
AutoMod, Applied Materials, http://www.automod.com/
·
Extend Simulation, Imagine That Inc, http://www.imaginethatinc.com/
·
I-Think/STELA, ISEE Systems Inc. http://www.iseesystems.com/
·
Powersim Software, http://www.powersim.com/
·
PromModel Software, ProModel Corporation, http://www.promodel.com/
·
SIMUL8, SIMUL8 Corporation, http://www.simul8.com/
·
The Association for Computing
Machinery has a special interest group in computer simulation, SIGSIM, which
maintains a web site at ACM-SIGSIM http://www.sigsim.org/
·
The
·
The Michigan Simulation User Group
(MSUG) maintains a site at http://www.m-sug.org/
·
The Society for Computer Simulation
maintains a site at http://www.SCS.org/
·
The Winter Simulation Conference http://www.wintersim.org/pastprog.htm
for WSC Papers.
· Vensim, Ventana Systems, Inc. http://www.vensim.com/
· WITNESS Software maintains a site at http://www.Lanner.com/