DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwak, DS | - |
dc.contributor.author | Kim, KJ | - |
dc.contributor.author | Lee, MS | - |
dc.date.accessioned | 2016-04-01T02:43:18Z | - |
dc.date.available | 2016-04-01T02:43:18Z | - |
dc.date.created | 2011-04-05 | - |
dc.date.issued | 2010-01 | - |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.other | 2010-OAK-0000021875 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/25649 | - |
dc.description.abstract | Industries 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.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.subject | multistage manufacturing process | - |
dc.subject | data mining approach | - |
dc.subject | patient rule induction method | - |
dc.subject | process optimisation | - |
dc.subject | VARIATION PROPAGATION | - |
dc.subject | QUALITY | - |
dc.subject | SYSTEMS | - |
dc.subject | DIAGNOSIS | - |
dc.title | Multistage PRIM: patient rule induction method for optimisation of a multistage manufacturing process | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1080/00207540902791827 | - |
dc.author.google | Kwak, DS | - |
dc.author.google | Kim, KJ | - |
dc.author.google | Lee, MS | - |
dc.relation.volume | 48 | - |
dc.relation.issue | 12 | - |
dc.relation.startpage | 3461 | - |
dc.relation.lastpage | 3473 | - |
dc.contributor.id | 10084322 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.48, no.12, pp.3461 - 3473 | - |
dc.identifier.wosid | 000276471900005 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 3473 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 3461 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.citation.volume | 48 | - |
dc.contributor.affiliatedAuthor | Kim, KJ | - |
dc.identifier.scopusid | 2-s2.0-77951098193 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 4 | - |
dc.description.scptc | 5 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | multistage manufacturing process | - |
dc.subject.keywordAuthor | data mining approach | - |
dc.subject.keywordAuthor | patient rule induction method | - |
dc.subject.keywordAuthor | process optimisation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
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