Decision matrix reduction in preliminary design

Amit Kaldate, Deborah L Thurston, Hamidreza Emamipour, Mark J Rood

Research output: Contribution to conferencePaper

Abstract

Matrix methods such as the house of quality (HOQ) are useful as a first step in organizing the information relating product attributes to engineering design parameters. However, they frequently result in a large number of elements, making it very difficult to focus attention on elements that bring maximum benefits. This paper presents a method for reducing a large set of engineering parameters to a more efficient subset. This subset offers the greatest potential for cost control, and is where product development, experimental, and optimization efforts should be focused. An example of a new air pollution control system illustrates the method. The most efficient set of engineering parameters are identified, and are then defined as decision variables in a cost minimization model. The optimal design identified by the method significantly reduces cost.

Original languageEnglish (US)
Pages697-706
Number of pages10
StatePublished - Dec 1 2003
Event2003 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Chicago, IL, United States
Duration: Sep 2 2003Sep 6 2003

Other

Other2003 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference
CountryUnited States
CityChicago, IL
Period9/2/039/6/03

ASJC Scopus subject areas

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Kaldate, A., Thurston, D. L., Emamipour, H., & Rood, M. J. (2003). Decision matrix reduction in preliminary design. 697-706. Paper presented at 2003 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference, Chicago, IL, United States.