A Compromise Decision Support Problem for Axiomatic and Robust Design

[+] Author and Article Information
B. Bras, 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 117(1), 10-19 (Mar 01, 1995) (10 pages) doi:10.1115/1.2830519 History: Received July 01, 1993; Revised June 01, 1994; Online January 25, 2008


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.

Copyright © 1995 by The American Society of Mechanical Engineers
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