A Compromise Decision Support Problem for Axiomatic and Robust Design
- 1 March 1995
- journal article
- Published by ASME International in Journal of Mechanical Design
- Vol. 117 (1) , 10-19
- https://doi.org/10.1115/1.2830519
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.Keywords
This publication has 16 references indexed in Scilit:
- Information-Based Design for Environmental Problem SolvingCIRP Annals, 1993
- ROBUST DESIGN USING COMPROMISE DECISION SUPPORT PROBLEMSEngineering Optimization, 1993
- Extensions to the Taguchi Method of Product DesignJournal of Mechanical Design, 1993
- Book reviewResearch in Engineering Design, 1992
- AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGNIIE Transactions, 1992
- An application of axiomatic designResearch in Engineering Design, 1992
- Taguchi's Parameter Design: A Panel DiscussionTechnometrics, 1992
- Design of linkages: A conceptual exercise in designing for conceptMechanism and Machine Theory, 1990
- Quality Engineering using Design of ExperimentsPublished by Springer Nature ,1989
- Design Optimization Case StudiesAT&T Technical Journal, 1986