Economic optimization in product design

Ronald G. Askin, Jeffrey B. Goldberg

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


Worldwide competition and rapid technological innovation have revitalized interest in efficient techniques for product design for quality and manufacturability. The Japanese approach, popularized by G. Taguchi, uses outcomes of statistical experiments to select settings for design parameters which yield desirable process mean and variance. In this paper we present mathematical models for incorporating the results of statistical performance models along with production costs into product design models. The objective of the models is to minimize the sum of quality loss, material and production costs. Costs are assumed to be functions of the design parameters. Statistical experiments are employed to aid in the development of quality performance models. Pertinent constraints include limits on the bias of the process mean and variance. The proposed approach permits a more general environment and utilizes a more direct, economic objective as compared to the Taguchi method. A product design example is presented.

Original languageEnglish (US)
Pages (from-to)139-152
Number of pages14
JournalEngineering Optimization
Issue number2
StatePublished - Nov 1 1988
Externally publishedYes


  • Manufacturing
  • product design
  • quality control

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics


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