Affiliation:
1. The Systems Realization Laboratory, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405
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.
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials
Reference29 articles.
1. Box G. , 1988, “Signal-to-Noise Ratios, Performance Criteria, and Transformations,” Technometrics, Vol. 30, No. 1, pp. 1–18.
2. Bras, B. A., 1992, “Foundations for Designing Decision-Based Design Processes,” Ph.D. Dissertation, University of Houston, Houston, TX.
3. Bras B. A. , and MistreeF., 1993, “Robust Design using Compromise Decision Support Problems,” Engineering Optimization, Vol. 21, pp. 213–239.
4. Gebala D. A. , and SuhN. P., 1992, “An Application of Axiomatic Design,” Research in Engineering Design, Vol. 3, pp. 149–162.
5. Ignizio, J. P., 1982, Linear Programming in Single and Multi-Objective Systems, Prentice-Hall, Englewood Cliffs, NJ.
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