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클러스터 툴의 예방유지보수 스케줄링 모형

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dc.contributor.author이현-
dc.contributor.author박유진-
dc.contributor.author허선-
dc.date.accessioned2021-06-23T09:06:49Z-
dc.date.available2021-06-23T09:06:49Z-
dc.date.issued2012-03-
dc.identifier.issn1225-0996-
dc.identifier.issn2234-6465-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/35774-
dc.description.abstractThis paper considers the preventive maintenance scheduling problem of the cluster tool which is one of the most important manufacturing equipments in the next-generation semiconductor production environment. We define a random process that expresses the successive amount of chemicals accumulating inside the tool. Based on the renewal theory, we find the expected value and probability distribution of the time that the amount of accumulated chemicals exceeds a predetermined level. For a given probability that the accumulated chemicals exceeds the predetermined level we present a method to obtain the number of chamber operations to perform the preventive maintenance of that chamber. In addition, a method to get the preventive maintenance schedule for the whole cluster tool is presented. A numerical example is provided to illustrate our method.-
dc.format.extent7-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한산업공학회-
dc.title클러스터 툴의 예방유지보수 스케줄링 모형-
dc.title.alternativeA Preventive Maintenance Scheduling Model of the Cluster Tool-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation산업공학(IE interfaces), v.25, no.1, pp 127 - 133-
dc.citation.title산업공학(IE interfaces)-
dc.citation.volume25-
dc.citation.number1-
dc.citation.startPage127-
dc.citation.endPage133-
dc.identifier.kciidART001639010-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorsemiconductor-
dc.subject.keywordAuthor450mm wafer production-
dc.subject.keywordAuthorcluster tool-
dc.subject.keywordAuthorpreventive maintenance-
dc.subject.keywordAuthorrenewal process-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01908363-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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