Quality utility a compromise programming approachto robust design

Wei Chen, Margaret M. Wiecek, Jinhuan Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In robust design, associated with each quality characteristic,the design objective often involves multiple aspects such as"bringing the mean of performance on target"and "minimizingthe variations". Current ways of handling these multipleaspects using either the Taguchi's signal-to-noise ratio or theweighted-sum method are not adequate. In this paper, we solvebi-objective robust design problems from a utility perspectiveby following upon the recent developments on relating utilityfunction optimization to a Compromise Programming (CP)method. A robust design procedure is developed to allow adesigner express his/her preference structure of multiple aspectsof robust design. The CP approach, i.e., the Tchebycheffmethod, is then used to determine the robust design solutionwhich is guaranteed to belong to the set of efficient solutions(Pareto points). The quality utility at the candidate solution isrepresented by means of a quadratic function in a certain senseequivalent to the weighted Tchebycheff metric. The obtainedutility function can be used to explore the efficient solutions inthe neighborhood of the candidate solution. The iterative natureof our proposed procedure will assist decision making in qualityengineering and the applications of robust design.

Original languageEnglish (US)
Title of host publication24th Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791880326
StatePublished - 1998
Externally publishedYes
EventASME 1998 Design Engineering Technical Conferences, DETC 1998 - Atlanta, United States
Duration: Sep 13 1998Sep 16 1998

Publication series

NameProceedings of the ASME Design Engineering Technical Conference


ConferenceASME 1998 Design Engineering Technical Conferences, DETC 1998
CountryUnited States


  • Compromise Programming
  • Decision Analysis
  • Multiobjective Optimization
  • Robust Design
  • Utility Function

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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