Compromise Decision Support Problems (DSPs) are used to model engineering decisions involving multiple trade-offs. In this paper, we focus on how to use such decision models to perform both axiomatic and robust design simultaneously. A compromise DSP is presented and solved for the concurrent achievement of the functional requirements, Suh’s independence axiom and his information content axiom. A model for the selection of the principal design parameters from a set of design parameters is included in this compromise DSP. Taguchi’s signal-to-noise ratio is used as a metric for the reduction of the information content and increasing the robustness of the design. As an example, a compromise DSP for designing an electrical network is presented.
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A Compromise Decision Support Problem for Axiomatic and Robust Design
B. Bras
,
B. Bras
The Systems Realization Laboratory, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405
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F. Mistree
F. Mistree
The Systems Realization Laboratory, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405
Search for other works by this author on:
B. Bras
The Systems Realization Laboratory, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405
F. Mistree
The Systems Realization Laboratory, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405
J. Mech. Des. Mar 1995, 117(1): 10-19 (10 pages)
Published Online: March 1, 1995
Article history
Received:
July 1, 1993
Revised:
June 1, 1994
Online:
January 25, 2008
Citation
Bras, B., and Mistree, F. (March 1, 1995). "A Compromise Decision Support Problem for Axiomatic and Robust Design." ASME. J. Mech. Des. March 1995; 117(1): 10–19. https://doi.org/10.1115/1.2830519
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