Multivariate yield maximization using CAD/CAE models: Efficient approximations based on mean and variance

Russell R. Barton, Kwok Leung Tsui

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

Abstract

A product contributes to yield if all of its performance functions fall within their upper and/or lower limits. For example, a piston connecting rod may be required to provide rigidity along several axes. The actual connecting rod deflection will vary, depending on variations in the materials and forging conditions, but the deflection must remain less than an upper limit. Designing for maximum yield for multivariate performance limits is a difficult task. Direct optimization may require excessive computing resources. We discuss two efficient methods for yield improvement; 'performance centering' and a method based on Taguchi's 'parameter design' philosophy. Both are shown to be motivated by the Chebychev inequality. It is important to remember that these are approximate methods. An example shows that they may produce sub-optimal yield, even when the random components of the performance functions are independent and identically distributed.

Original languageEnglish (US)
Title of host publication3rd International Conference on Design Theory and Methodology
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages31-35
Number of pages5
ISBN (Electronic)9780791807477
DOIs
StatePublished - 1991
EventASME 1991 Design Technical Conferences, DETC 1991 - Miami, United States
Duration: Sep 22 1991Sep 25 1991

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
VolumePart F168436-7

Conference

ConferenceASME 1991 Design Technical Conferences, DETC 1991
CountryUnited States
CityMiami
Period9/22/919/25/91

All Science Journal Classification (ASJC) codes

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

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