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Cited 34 time in webofscience Cited 39 time in scopus
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dc.contributor.authorHwang, HC-
dc.contributor.authorLee, K-
dc.contributor.authorChang, SY-
dc.date.accessioned2016-04-01T02:12:23Z-
dc.date.available2016-04-01T02:12:23Z-
dc.date.created2009-02-28-
dc.date.issued2005-04-30-
dc.identifier.issn0166-218X-
dc.identifier.other2005-OAK-0000005030-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/24653-
dc.description.abstractWe consider the makespan minimization parallel machine scheduling problem where each machine may be unavailable for a known time interval. For this problem, we investigate how the worst-case behavior of the longest processing time first algorithm (LPT) is affected by the availability of machines. In particular, for given m machines, we analyze the cases where arbitrary number, lambda, ranging from one to in - 1, machines are unavailable simultaneously. Then, we show that the makespan of the schedule generated by LPT is never more than the tight worst-case bound of 1 + 1/2 [m/(m -lambda)] times the optimum makespan. (c) 2004 Elsevier B.V. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE BV-
dc.relation.isPartOfDISCRETE APPLIED MATHEMATICS-
dc.subjectparallel machines scheduling-
dc.subjectavailability-
dc.subjectshutdowns-
dc.subjectlongest processing time (LPT)-
dc.subjectPARALLEL MACHINES-
dc.subjectALGORITHMS-
dc.subjectTIME-
dc.titleThe effect of machine availability on the worst-case performance of LPT-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1016/j.dam.2004.12.002-
dc.author.googleHwang, HC-
dc.author.googleLee, K-
dc.author.googleChang, SY-
dc.relation.volume148-
dc.relation.issue1-
dc.relation.startpage49-
dc.relation.lastpage61-
dc.contributor.id10109240-
dc.relation.journalDISCRETE APPLIED MATHEMATICS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationDISCRETE APPLIED MATHEMATICS, v.148, no.1, pp.49 - 61-
dc.identifier.wosid000228376700004-
dc.date.tcdate2019-02-01-
dc.citation.endPage61-
dc.citation.number1-
dc.citation.startPage49-
dc.citation.titleDISCRETE APPLIED MATHEMATICS-
dc.citation.volume148-
dc.contributor.affiliatedAuthorLee, K-
dc.contributor.affiliatedAuthorChang, SY-
dc.identifier.scopusid2-s2.0-15344342575-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc29-
dc.type.docTypeArticle-
dc.subject.keywordAuthorparallel machines scheduling-
dc.subject.keywordAuthoravailability-
dc.subject.keywordAuthorshutdowns-
dc.subject.keywordAuthorlongest processing time (LPT)-
dc.relation.journalWebOfScienceCategoryMathematics, Applied-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-

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