A COMPROMISE DECISION-SUPPORT PROBLEM FOR AXIOMATIC AND ROBUST DESIGN

Compromise Decision Support Problems (DSPs) are used to model engineer ing decisions involving multiple trade-offs. In this paper, we focus o n how to use such decision models to perform both axiomatic and robust design simultaneously. A compromise DSP is presented and solved for t he concurrent achievement of the functional requirements, Suh's indepe ndence axiom and his information content axiom. A model for the select ion of the principal design parameters from a set of design parameters is included in this compromise DSP. Taguchi's signal-to-noise ratio i s used as a metric for the reduction of the information content and in creasing the robustness of the design. As an example, a compromise DSP for designing an electrical network is presented.