Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/647
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dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorWang, G-
dc.creatorCheng, TCE-
dc.date.accessioned2014-12-11T08:27:36Z-
dc.date.available2014-12-11T08:27:36Z-
dc.identifier.issn0305-0483-
dc.identifier.urihttp://hdl.handle.net/10397/647-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rightsOmega © 2005 Published by Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com.en_US
dc.subjectCustomer order schedulingen_US
dc.subjectLinear programming relaxationen_US
dc.subjectApproximation algorithmen_US
dc.titleCustomer order scheduling to minimize total weighted completion timeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage623-
dc.identifier.epage626-
dc.identifier.volume35-
dc.identifier.issue5-
dc.identifier.doi10.1016/j.omega.2005.09.007-
dcterms.abstractIn this paper we study the scheduling problem in which each customer order consists of several jobs of different types, which are to be processed on m facilities. Each facility is dedicated to the processing of only one type of jobs. All jobs of an order have to be delivered to the customer at the same time. The objective is to schedule all the orders to minimize the total weighted order completion time. While the problem has been shown to be unary NP-hard, we develop a heuristics to tackle the problem and analyze its worst-case performance.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOmega, Oct. 2007, v. 35, no. 5, p. 623-626-
dcterms.isPartOfOmega-
dcterms.issued2007-10-
dc.identifier.isiWOS:000243645200014-
dc.identifier.scopus2-s2.0-33751506151-
dc.identifier.eissn1873-5274-
dc.identifier.rosgroupidr32623-
dc.description.ros2006-2007 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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