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Cited 13 time in webofscience Cited 15 time in scopus
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dc.contributor.authorKwak, DS-
dc.contributor.authorKim, KJ-
dc.contributor.authorLee, MS-
dc.date.accessioned2016-04-01T02:43:18Z-
dc.date.available2016-04-01T02:43:18Z-
dc.date.created2011-04-05-
dc.date.issued2010-01-
dc.identifier.issn0020-7543-
dc.identifier.other2010-OAK-0000021875-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/25649-
dc.description.abstractIndustries such as automotive, LCD, PDP, semiconductor and steel produce products through multistage manufacturing processes. In a multistage manufacturing process, performances of stages are not independent. Therefore, the relationship between stages should be considered when optimising the multistage manufacturing process. This study proposes a new procedure of optimising a multistage manufacturing process, called multistage PRIM ( patient rule induction method). Multistage PRIM extends the scope of process optimisation from a single stage to the multistage process, and it can use the information encapsulated in the relationship between stages when maximising each stage's performance. A case study in a multistage steel manufacturing process is conducted to illustrate the proposed procedure.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherTAYLOR & FRANCIS LTD-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH-
dc.subjectmultistage manufacturing process-
dc.subjectdata mining approach-
dc.subjectpatient rule induction method-
dc.subjectprocess optimisation-
dc.subjectVARIATION PROPAGATION-
dc.subjectQUALITY-
dc.subjectSYSTEMS-
dc.subjectDIAGNOSIS-
dc.titleMultistage PRIM: patient rule induction method for optimisation of a multistage manufacturing process-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1080/00207540902791827-
dc.author.googleKwak, DS-
dc.author.googleKim, KJ-
dc.author.googleLee, MS-
dc.relation.volume48-
dc.relation.issue12-
dc.relation.startpage3461-
dc.relation.lastpage3473-
dc.contributor.id10084322-
dc.relation.journalINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.48, no.12, pp.3461 - 3473-
dc.identifier.wosid000276471900005-
dc.date.tcdate2019-02-01-
dc.citation.endPage3473-
dc.citation.number12-
dc.citation.startPage3461-
dc.citation.titleINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH-
dc.citation.volume48-
dc.contributor.affiliatedAuthorKim, KJ-
dc.identifier.scopusid2-s2.0-77951098193-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc4-
dc.description.scptc5*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordAuthormultistage manufacturing process-
dc.subject.keywordAuthordata mining approach-
dc.subject.keywordAuthorpatient rule induction method-
dc.subject.keywordAuthorprocess optimisation-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryEngineering, Manufacturing-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-

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