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 5123 - Optimization of Manufacturing Systems

Spring 2009

Course Information:

      Course No.:            EME 5123-01

      Course Title:           Optimization of Manufacturing Systems

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

      Classroom:             E212

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

      Internet site:            Blackboard my.ltu.edu

Prerequisites:

      EME3023 Manufacturing Processes

Text:             

Winston, Wayne L., Operations Research: Applications and Algorithms, 4th  Edition, ISBN 0-534-42362-0 / 978-0534423629

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:

Principles necessary to apply modern optimization techniques to manufacturing applications. Classical, modern mathematical, and artificial intelligence methodologies. Lect. 3 hrs. 3 hours credit

Objectives:

      Upon completion of this course the students should be able to:

Identify different optimization methods of manufacturing systems

Provide a framework to think about a wide range of issues that arise in manufacturing systems.

Expose to a wide range of applications for these methods and models, and to integrate this material with decision support

Formulate optimize model for different scenarios of manufacturing systems

Use linear programming, sensitivity analysis for linear programs, integer programming, non-linear programming, Lagrange multipliers, simulation, and computer applications for the applications of manufacturing systems

Critically evaluate decision-support results produced by optimization methods

Apply professional optimization packages to conduct optimization methods

Syllabus Topics:

                          I.      Linear programming, sensitivity analysis for linear programs

                       II.      Integer programming

                     III.      Non-linear programming

                    IV.      Network flow problems

                       V.      Lagrange multipliers

                    VI.      Simulation

                  VII.      Computer applications

               VIII.      Examples are drawn from manufacturing processes and manufacturing systems

Grading Policy:

      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 closed book and closed 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. 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:

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 optimization methods for real-life applications of manufacturing systems. The project will be based on optimization such as labor and production planning for a manufacturing line, optimizing total cost over system life, minimizing the total cost incurred during the next four quarters for production systems, optimizing material handling systems, optimizing inventory systems, optimal machine utilization, optimizing high volume production systems, optimizing flow lines / assembly lines, etc. There will be an oral presentation of the project and the written documentation of the study in a clearly, concisely written report form.

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:

Archetti, F., Lucertini, M., and Serafini, P., Operations Research Models in Flexible Manufacturing Systems, Springer, 1989.

Askin, R. G., and Standridge, C. R., Modeling and Analysis of Manufacturing Systems, Wiley, 1993.

Buzacott, J. A. and Shanthikumar, J. G., Stochastic Models of Manufacturing Systems, Prentice Hall, 1993.

Gershwin, Stanley B., Manufacturing Systems Engineering, Prentice Hall, 1993.

Hopp, W. J. and Spearman, M. L., Factory Physics: Fountain of Manufacturing Management, 2nd Edition, McGraw Hill, 2000.

Jensen, Paul A., and Bard, Jonathan F. Operations Research Models and Methods, Wiley, 2002.

Shanthikumar, J. G., Yao , D. D. , Zijm, W., and Henk M., Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains, Springer, 2003.

Manufacturing Systems Related Resources:

Journal of Manufacturing Systems – Elsevier

Journal of Production Research

IIE Transactions – Design and Manufacturing

CIRP Annals - Manufacturing Technology – Elsevier

Journal of Advanced Manufacturing Systems

International Journal of Flexible Manufacturing Systems

International Journal of Operations and Production Management

International Transactions in Operational Research

Production Planning & Control Journal

Journal of Operations Management - Elsevier

Manufacturing Systems Integration Division (MSID), National Institute of Standards and Testing (NIST). http://www.mel.nist.gov/msid/

Society of Manufacturing Engineers

ASME International Manufacturing Science and Engineering Conference (MSEC), West Lafayette , IN , October 4-7, 2009.

International Academy for Production Engineering (CIRP)

59^th CIRP General Assembly, Boston , Massachusetts , August 23 - 29, 2009. http://www.cirp2009.org/

19th International Conference on Flexible Automation and Intelligent Manufacturing (2009 FAIM), University of Teesside , Middlesbrough , UK , July 6 – 8, 2009.

Global Congress on Manufacturing and Management

MIT OpenCourseWare | Mechanical Engineering | 2.852 Manufacturing Systems Analysis, Spring 2004, http://ocw.mit.edu/OcwWeb/Mechanical-Engineering/2-852Spring2004/CourseHome/

MIT OpenCourseWare, 15.066J / 2.851J / 3.83J System Optimization and Analysis for Manufacturing, Summer 2003, http://ocw.mit.edu/OcwWeb/Sloan-School-of-Management/15-066JSystem-Optimization-and-Analysis-for-ManufacturingSummer2003/CourseHome/index.htm

Design and Analysis of Manufacturing Systems, University of Wisconsin – Madison, http://www.engr.wisc.edu/ie/courses/ie641.html, http://www.engr.wisc.edu/ie/courses/ie415.html