Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18683
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorSun, XT-
dc.creatorChung, SH-
dc.creatorChan, FTS-
dc.date.accessioned2015-10-13T08:28:29Z-
dc.date.available2015-10-13T08:28:29Z-
dc.identifier.issn1366-5545-
dc.identifier.urihttp://hdl.handle.net/10397/18683-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectDue dateen_US
dc.subjectFuzzy logicen_US
dc.subjectGenetic algorithmen_US
dc.subjectMaritime transporten_US
dc.subjectMixed-integer programmingen_US
dc.subjectMulti-factory manufacturing systemen_US
dc.titleIntegrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limitsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage110-
dc.identifier.epage127-
dc.identifier.volume79-
dc.identifier.doi10.1016/j.tre.2015.04.002-
dcterms.abstractThis paper studies a practical multi-factory job allocation and scheduling problem involving inland and maritime transport limits. A new heuristic called Due-date Based Cut-off rule (DBC) is developed to improve the computational efficiency of both exact and genetic algorithms (GA). Except the application of DBC, this proposed GA is guided by a novel fuzzy controller aimed at eliminating the drawbacks other GAs have when dealing with multi-factory models. The tests of the solution quality and computational efficiency for this GA are carried out. The numerical experiments demonstrate the value of the proposed approach in this practical global supply chain.-
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, 2015, v. 79, p. 110-127-
dcterms.isPartOfTransportation research. Part E, Logistics and transportation review-
dcterms.issued2015-
dc.identifier.scopus2-s2.0-84928883120-
dc.identifier.eissn1878-5794-
dc.identifier.rosgroupid2015000897-
dc.description.ros2015-2016 > Academic research: refereed > Publication in refereed journal-
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