Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions

Kwang Jae Kim, Dennis K.J. Lin

Research output: Contribution to journalArticle

194 Scopus citations

Abstract

A modelling approach to optimize a multiresponse system is presented. The approach aims to identify the setting of the input variables to maximize the degree of overall satisfaction with respect to all the responses. An exponential desirability functional form is suggested to simplify the desirability function assessment process. The approach proposed does not require any assumptions regarding the form or degree of the estimated response models and is robust to the potential dependences between response variables. It also takes into consideration the difference in the predictive ability as well as relative priority among the response variables. Properties of the approach are revealed via two real examples - one classical example taken from the literature and another that the authors have encountered in the steel industry.

Original languageEnglish (US)
Pages (from-to)311-325
Number of pages15
JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
Volume49
Issue number3
DOIs
StatePublished - Jan 1 2000

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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