Bounds for parallel machine scheduling with predefined parts of jobs and setup time

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dc.contributor.authorKim, Hyunjungko
dc.date.accessioned2019-09-02T07:20:10Z-
dc.date.available2019-09-02T07:20:10Z-
dc.date.created2019-09-02-
dc.date.created2019-09-02-
dc.date.created2019-09-02-
dc.date.issued2018-02-
dc.identifier.citationANNALS OF OPERATIONS RESEARCH, v.261, no.1-2, pp.401 - 412-
dc.identifier.issn0254-5330-
dc.identifier.urihttp://hdl.handle.net/10203/266079-
dc.description.abstractWe examine a parallel machine scheduling problem with setup time in order to minimize the makespan. Each job consists of predefined parts, and the parts of a job can be processed concurrently in different machines. We first provide worst-case bounds of the Longest Processing Time and list schedules for special cases. We also develop a heuristic algorithm for scheduling parts of jobs with family setup time and propose its worst-case performance ratio. The application is the IoT-based smart factory with 3D printers as processing machines.-
dc.languageEnglish-
dc.publisherSPRINGER-
dc.titleBounds for parallel machine scheduling with predefined parts of jobs and setup time-
dc.typeArticle-
dc.identifier.wosid000422665800018-
dc.identifier.scopusid2-s2.0-85045095436-
dc.type.rimsART-
dc.citation.volume261-
dc.citation.issue1-2-
dc.citation.beginningpage401-
dc.citation.endingpage412-
dc.citation.publicationnameANNALS OF OPERATIONS RESEARCH-
dc.identifier.doi10.1007/s10479-017-2615-z-
dc.contributor.localauthorKim, Hyunjung-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorParallel machine scheduling-
dc.subject.keywordAuthorWorst-case bound-
dc.subject.keywordAuthorList schedules-
dc.subject.keywordAuthorLPT schedules-
dc.subject.keywordAuthorHeuristic algorithm-
dc.subject.keywordPlusUNIFORM PROCESSORS-
dc.subject.keywordPlusCONSTRAINTS-
dc.subject.keywordPlusANOMALIES-
dc.subject.keywordPlusCOSTS-
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