HEURISTICS FOR FLOWSHOP SCHEDULING PROBLEMS MINIMIZING MEAN TARDINESS

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dc.contributor.authorKim, Yeong-Daeko
dc.date.accessioned2008-10-09T12:44:36Z-
dc.date.available2008-10-09T12:44:36Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1993-01-
dc.identifier.citationJOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.44, no.1, pp.19 - 28-
dc.identifier.issn0160-5682-
dc.identifier.urihttp://hdl.handle.net/10203/7608-
dc.description.abstractSeveral heuristics are presented for the flowshop scheduling problem with the objective of minimizing mean tardiness. We consider the cases in which job sequences on all machines are the same (permutation flowshop) and in which they may be different. For the former case, the various methods that have been devised for minimizing the makespan are modified for our objective, while the list scheduling algorithm is used for the latter case. These heuristics are tested and compared with each other on randomly-generated test problems.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherSTOCKTON PRESS-
dc.subjectSHOP SEQUENCING PROBLEM-
dc.subjectJOB-SHOP-
dc.subjectDISPATCHING RULES-
dc.subjectM-MACHINE-
dc.subjectN-JOB-
dc.subjectALGORITHM-
dc.subjectAPPROXIMATION-
dc.titleHEURISTICS FOR FLOWSHOP SCHEDULING PROBLEMS MINIMIZING MEAN TARDINESS-
dc.typeArticle-
dc.identifier.wosidA1993KG63500003-
dc.identifier.scopusid2-s2.0-0027240799-
dc.type.rimsART-
dc.citation.volume44-
dc.citation.issue1-
dc.citation.beginningpage19-
dc.citation.endingpage28-
dc.citation.publicationnameJOURNAL OF THE OPERATIONAL RESEARCH SOCIETY-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Yeong-Dae-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorHEURISTICS-
dc.subject.keywordAuthorSCHEDULING-
dc.subject.keywordAuthorSEQUENCING-
dc.subject.keywordPlusSHOP SEQUENCING PROBLEM-
dc.subject.keywordPlusJOB-SHOP-
dc.subject.keywordPlusDISPATCHING RULES-
dc.subject.keywordPlusM-MACHINE-
dc.subject.keywordPlusN-JOB-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusAPPROXIMATION-
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