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Cited 173 time in webofscience Cited 235 time in scopus
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dc.contributor.authorKim, KJ-
dc.contributor.authorLin, DKJ-
dc.date.accessioned2016-03-31T13:28:49Z-
dc.date.available2016-03-31T13:28:49Z-
dc.date.created2009-02-28-
dc.date.issued2000-01-
dc.identifier.issn0035-9254-
dc.identifier.other2000-OAK-0000001449-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/19919-
dc.description.abstractA 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.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherBLACKWELL PUBL LTD-
dc.relation.isPartOfJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS-
dc.subjectdesirability function-
dc.subjectfuzzy logic-
dc.subjectmultiresponse system-
dc.subjectsimultaneous optimization-
dc.subjectREGRESSION-
dc.titleSimultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1111/1467-9876.00194-
dc.author.googleKim, KJ-
dc.author.googleLin, DKJ-
dc.relation.volume49-
dc.relation.startpage311-
dc.relation.lastpage325-
dc.contributor.id10084322-
dc.relation.journalJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, v.49, pp.311 - 325-
dc.identifier.wosid000088295400002-
dc.date.tcdate2019-01-01-
dc.citation.endPage325-
dc.citation.startPage311-
dc.citation.titleJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS-
dc.citation.volume49-
dc.contributor.affiliatedAuthorKim, KJ-
dc.identifier.scopusid2-s2.0-0034362232-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc113-
dc.type.docTypeArticle-
dc.subject.keywordAuthordesirability function-
dc.subject.keywordAuthorfuzzy logic-
dc.subject.keywordAuthormultiresponse system-
dc.subject.keywordAuthorsimultaneous optimization-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-

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김광재KIM, KWANG JAE
Dept. of Industrial & Management Eng.
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