Independent Study
Designed for undergraduates wanting to continue substantial projects of own choice, under faculty supervision, in mechanical engineering. Work may be of experimental, theoretical, or design nature. Projects may be arranged individually in most fields of department interest, i.e., in mechanics, design and manufacturing, controls and robotics, thermal science and energy engineering, bioengineering, ocean engineering and nanotechnology. 2.993 is letter-graded; 2.994 is P/D/F.
January IAP 2007 · MADM with Applications in Material Selection and Optimal Design
This course begins with a comparative review of conventional and advanced multiple attribute decision making (MADM) models in engineering practice. Next, a new application of particular MADM models in reliable material selection of sensitive structural components as well as a multi-criteria Taguchi optimization method is discussed. Other specific topics include dealing with uncertainties in material properties, incommensurability in decision-makers opinions for the same design, objective ways of weighting performance indices, rank stability analysis, compensations and non-compensations. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.
Readings
- Yoon, K. Paul, and Ching-Lai Hwang. Multiple Attribute Decision Making: An Introduction . Thousand Oaks, CA: SAGE Publications, 1995. ISBN: 9780803954861.
- Ashby, Michael F. Materials Selection in Mechanical Design . Burlington, MA: Butterworth-Heinemann, 2005. ISBN: 9780750661683.
- Collette, Yann, and Patrick Siarry. Multiobjective Optimization: Principles and Case Studies . New York, NY: Springer-Verlag, 2004. ISBN: 9783540401827.
- Roy, Ranjit K. Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement . New York, NY: John Wiley & Sons, 2001. ISBN: 9780471361015.
- Triantaphyllou, Evangelos. Multi-Criteria Decision Making Methods: A Comparative Study . New York, NY: Springer-Verlag, 2000. ISBN: 9780792366072.
- Saaty, Thomas L. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process . Pittsburgh, PA: RWS Publications, 2000. ISBN: 9780962031762.
- Farag, Mahmoud M. Materials Selection for Engineering Design . Upper Saddle River, NJ: Prentice Hall, 1997. ISBN: 9780135751923.
- Roy, Bernard. Multicriteria Methodology for Decision Aiding . New York, NY: Springer-Verlag, 1996. ISBN: 9780792341666.
- Dehghan-Manshadi, B., H. Mahmudi, A. Abedian, and R. Mahmudi. “A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method.” Materials and Design 28, no. 1 (2007): 8-15.
- Sirisalee, P., M. F. Ashby, G. T. Parks, and P. J. Clarkson. “Multi-criteria material selection of monolithic and multi-materials in engineering design.” Advanced Engineering Materials 8, no. 1-2 (2006): 48-56.
- Rao, R. V. “A material selection model using graph theory and matrix approach.” Materials Science and Engineering A , no. 431 (2006): 248-255.
- Milani, A. S., A. Shanian, R. Madoliat, and J. A. Nemes. “The effect of normalization norms in multiple attribute decision making (MADM) models: A case study in gear material selection.” Structural and Multidisciplinary Optimization 29, no. 4 (2005): 312-318.
- Milani, A. S., C. El-Lahham, and J. A. Nemes. “Different approaches in multiple-criteria optimization using the Taguchi Method: A case study in a cold heading process.” Journal of Advanced Manufacturing Systems 3, no. 1 (2004): 53-68.
- Niemira, M. P., and T. L. Saaty. “An Analytic Network Process model for financial-crisis forecasting.” International Journal of Forecasting 20 (2004): 573-587.
- Figueira, J., and B. Roy. “Determining the weights of criteria in the ELECTRE type methods with a revised Simos’ procedure.” European Journal of Operational Research 139 (2002): 317-326.
- Roth, R. F., F. Field, and J. Clark. “Materials Selection and Multi-Attribute Utility Analysis.” Journal of Computer-Aided Materials Design 1, no. 3 (1994): 325-342.
Prerequisites & course information
Prereq: None U (Fall, IAP, Spring, Summer) Units arranged [P/D/F] Can be repeated for credit.
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗January IAP 2007
- MIT OCW readings ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.