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Cited 23 time in webofscience Cited 28 time in scopus
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dc.contributor.authorLee, K-
dc.contributor.authorLeung, JYT-
dc.contributor.authorPinedo, ML-
dc.date.accessioned2017-07-19T12:45:17Z-
dc.date.available2017-07-19T12:45:17Z-
dc.date.created2016-07-12-
dc.date.issued2010-12-
dc.identifier.issn1619-4500-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/36383-
dc.description.abstractIn this paper we provide a survey of online scheduling in parallel machine environments with machine eligibility constraints and the makespan as objective function. We first give a brief overview of the different parallel machine environments and then survey the various types of machine eligibility constraints, including tree-hierarchical processing sets, Grade of Service processing sets, interval processing sets, and nested processing sets. We furthermore describe the relationships between the various different types of processing sets. We proceed with describing two basic online scheduling paradigms, namely online over list and online over time. For each one of the two paradigms we survey all the results that have been recorded in the literature with regard to each type of machine eligibility constraints. We obtain also several extensions in various directions. In the concluding section we describe the most important open problems in this particular area.-
dc.languageEnglish-
dc.publisherSPRINGER HEIDELBERG-
dc.relation.isPartOf4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH-
dc.subjectParallel machine scheduling-
dc.subjectEligibility constraint-
dc.subjectTree-hierarchical and GoS processing sets-
dc.subjectInterval and nested processing sets-
dc.subjectOnline and Semi-online scheduling-
dc.subjectOffline scheduling-
dc.subjectMakespan-
dc.subjectCompetitive ratio-
dc.titleMakespan Minimization in Online Scheduling with Machine Eligibility-
dc.typeArticle-
dc.identifier.doi10.1007/S10288-010-0149-1-
dc.type.rimsART-
dc.identifier.bibliographicCitation4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, v.8, no.4, pp.331 - 364-
dc.identifier.wosid000285358400001-
dc.date.tcdate2019-02-01-
dc.citation.endPage364-
dc.citation.number4-
dc.citation.startPage331-
dc.citation.title4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH-
dc.citation.volume8-
dc.contributor.affiliatedAuthorLee, K-
dc.identifier.scopusid2-s2.0-78650305581-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc19-
dc.description.scptc19*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordPlusPROCESSING SET RESTRICTIONS-
dc.subject.keywordPlusPARALLEL MACHINES-
dc.subject.keywordPlusSERVICE PROVISION-
dc.subject.keywordPlusAPPROXIMATION ALGORITHMS-
dc.subject.keywordPlusIDENTICAL MACHINES-
dc.subject.keywordPlusGRADE-
dc.subject.keywordPlusCOMPETITIVENESS-
dc.subject.keywordPlusCONSTRAINTS-
dc.subject.keywordAuthorParallel machine scheduling-
dc.subject.keywordAuthorEligibility constraint-
dc.subject.keywordAuthorTree-hierarchical and GoS processing sets-
dc.subject.keywordAuthorInterval and nested processing sets-
dc.subject.keywordAuthorOnline and Semi-online scheduling-
dc.subject.keywordAuthorOffline scheduling-
dc.subject.keywordAuthorMakespan-
dc.subject.keywordAuthorCompetitive ratio-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaOperations Research & Management Science-

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