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 Manufacturing Systems Intelligence (CMSI)

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EME 5603 - Engineering Systems Simulation

Spring 2009

 

Course Information:

      Course No.:            EME 5603-01

      Course Title:           Engineering Systems Simulation

      Lecture:                  Friday, 5:45 pm - 8:25 pm

      Classroom:             E30

      Office hours:           Thursday and Friday, 3:00 – 5:30pm or by appointment

      Internet site:            Blackboard my.ltu.edu

 

Prerequisites:

      Senior or graduate standing and MCS3403 Probability & Statistics

 

Text:             

      Kelton, W. David, Randall P Sadowski, and David T Sturrock, Simulation with Arena, 2007, 4th Edition, McGraw-Hill, ISBN 0073259896 / 9780073259895.

 

Faculty:          

      Ahad Ali, Ph.D., Assistant Professor in Mechanical Engineering

      Tel: 248 204 2531, Fax:  248 204 2576, Office: E037

      Email: aali@ltu.edu; Web page: http://vfacstaff.ltu.edu/aali/

 

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.

 

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

 

Syllabus Topics:

                          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

               VIII.      Design and Conducting of Simulation Experiments

 

Grading Policy:

      Class Assignments              10 Points                       Homework                    20 Points

      Midterm Exam                    25 Points                       Final Exam                    20 Points

      Simulation Project                25 Points

 

      A 90, A- 87, B+ 84, B 81, B- 78, C+ 75, C 72, C- 69, D+ 66, D 63, D- 60, F < 60

 

Test:

All tests will be open book and open notes. There will be no make-up tests except in case of exceptional circumstances. The course instructor must be notified as soon as possible and normally prior to the exam.

 

Homework and Class Assignments:

Homework is due at the beginning of class. Late Homework will not be graded and will receive NO CREDIT. I will make exceptions only in extreme cases. Extensions to turn in homework due to exceptional circumstances will require appropriate documentation or prior permission. There will be no makeup class assignments.

 

Research Paper Review:

Students will have to review research papers and present in the class for specific topics assigned in the class. Technical paper review guidelines will be provided.

 

Course Outlines:

               

Date

Topics

Readings

Jan 16

Syllabus and Introduction

Chap 1

23, 30

Fundamental simulation concepts and Initial Project Proposal

Chap 2

Feb 6

Arena Module, Logic, Template: Basic and Advanced

Chap 3

13, 20

Modeling basic operations and inputs

Chap 4

27, Mar 6

Modeling detailed operations and Project Proposal Updates

Chap 5

13

Mid-Semester Break

 

20

Mid Term

 

27

Statistical analysis of output

Chap 6

April 3, 10

Steady state statistical analysis

Chap 7 & 8

17, 24

Design and Conducting of Simulation Experiments

Notes

May 1

Simulation Project Presentation and Report Submission

 

8

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, airport operations, logistics, supply chain, hospital operations, chemical/pharmaceutical plants, theme park, emergency-response system, supermarket, fast-food restaurants, bank operations, etc. There will be an oral presentation of the project and the written documentation of the study in a clearly, concisely written report form. It should have: abstract, introduction, problem description, input data analysis, modeling and simulation, design of experiments, results and discussions, conclusions, references and appendix (in any).

Initial Proposal Presentation             10%

Progress Presentation                      20%

Project Report & Presentation         70%

 

Academic Honor Code:

Academic integrity and honesty are basic core values of Lawrence Technological University . Lawrence Technological University is committed to creating an academic community that values both individual and collaborative efforts that promote learning and discovery. Such a community expects honesty and integrity in the work of all its members.

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

 

Recommended References:

Banks, J. 1998. Handbook of Simulation, Editor John Wiley.

Banks, J., J. S. Carson II, B.L. Nelson, and D. M. Nicol. 2001. Discrete-Event System Simulation, 3rd Edition, Prentice Hall Inc.

Evans, J.R. and D.L. Olson, 2002. Introduction to Simulation and Risk Analysis, 2nd Edn., Prentice Hall.

Harrell, Charles R., Biman K. Ghosh, and Royce O. Bowden. 2004. Simulation Using Promodel, McGraw-Hill, 2nd Edition.

Law, A. M., and W. David Kelton. 1999. Simulation Modeling and Analysis, 3rd Edition. McGraw-Hill.

 

Recommended Articles: (http://www.wintersim.org/)

Aguirre, A., E. Müller, S. Seffino , and C. A. Mendez. 2008. Applying a Simulation-Based Tool to Productivity Management in an Automotive-Parts Industry, Proceedings 2008 Winter Simulation Conference, 1838 – 1846.

Khurma, N., G. M. Bacioiu, and Z. J. Pasek. 2008. Simulation-Based Verification of Lean Improvement for Emergency Room Process, Proceedings 2008 Winter Simulation Conference, 1490 – 1499.

Qi, C., A. I. Sivakumar, and S. B. Gershwin, 2007. Simulation Experimental Investigation on Job Release Control in Semiconductor Wafer Fabrication, Proceedings 2007 Winter Simulation Conference, 1737 – 1746.

Batta, R., L. Lin, C. Drury, and S. Appelt. 2007. Simulation of Passenger Check-in at a Medium-sized US Airport, Proceedings 2007 Winter Simulation Conference, 1252 – 1260.

Yu, Q. 2006. Productivity Simulation with ProModel for an Automotive Assembly Workstation Involving a Lift Device, Proceedings 2006 Winter Simulation Conference, 1935 – 1939.

Williams, E. J., O. M. Ulgen, S. Bailiff, and R. Lote. 2006. Material Handling Resource Utilization Simulation Study for Stamping Plant, Proceedings 2006 Winter Simulation Conference, 1940 – 1945.

Alexopoulos, C. 2006. A Comprehensive Review of Methods for Simulation Output Analysis, Proceedings 2006 Winter Simulation Conference, 168-178.

Hasgul, S., and A.S. Buyuksunetci. 2005. Simulation Modeling and Analysis of a New Mixed Model Production Line, Proceedings 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 2005 Winter Simulation Conference, 1335-1342.

Sargent, R.G. 2004. Validation and Verification of Simulation Models. Proceedings 2004 Winter Simulation Conference, 17-28.

Guru, A., and P. Savory. 2004. A Template-Based Conceptual Modeling Infrastructure for Simulation of Physical Security Systems. Proceedings 2004 Winter Simulation Conference, 866-873.

Law, Averill M., and M. G. McComas. 1998. Simulation of Manufacturing Systems, Proceedings 1998 Winter Simulation Conference, 1: 49-52.

Balci, O. 1998. Verification, Validation, and Accreditation. Proceedings 1998 Winter Simulation Conference, 1: 41-48.

Leemis, Lawrence. 1998. Input Modeling. Proceedings 1998 Winter Simulation Conference, 1: 15-22.

Balci, O. 1989. How to Assess the Acceptability and Credibility of Simulation Results. Proceedings 1989 Winter Simulation Conference, 52-71.

 

Journals:

 

Conferences:

 

Modeling and Simulation Internet Resources: