A COMPROMISE DECISION-SUPPORT PROBLEM FOR AXIOMATIC AND ROBUST DESIGN

被引：31

作者：

BRAS, B

MISTREE, F

机构：

[1] The Systems Realization Laboratory, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA

来源：

JOURNAL OF MECHANICAL DESIGN | 1995年 / 117卷 / 01期

关键词：

D O I：

10.1115/1.2830519

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页码：10 / 19

页数：10

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