0
RESEARCH PAPERS

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

Abstract

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
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In