Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104564
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLu, YYen_US
dc.creatorJin, Jen_US
dc.creatorJi, Pen_US
dc.creatorWang, JBen_US
dc.date.accessioned2024-02-05T08:51:08Z-
dc.date.available2024-02-05T08:51:08Z-
dc.identifier.issn0941-0643en_US
dc.identifier.urihttp://hdl.handle.net/10397/104564-
dc.language.isoenen_US
dc.publisherSpringer UKen_US
dc.rights© The Natural Computing Applications Forum 2015en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00521-015-1993-x.en_US
dc.subjectDeteriorating jobsen_US
dc.subjectLearning effecten_US
dc.subjectParallel machineen_US
dc.subjectResource allocationen_US
dc.subjectSchedulingen_US
dc.titleResource-dependent scheduling with deteriorating jobs and learning effects on unrelated parallel machineen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1993en_US
dc.identifier.epage2000en_US
dc.identifier.volume27en_US
dc.identifier.issue7en_US
dc.identifier.doi10.1007/s00521-015-1993-xen_US
dcterms.abstractThe focus of this paper is to analyze unrelated parallel-machine resource allocation scheduling problem with learning effect and deteriorating jobs. The goal is to find the optimal sequence of jobs and the optimal resource allocation separately for minimizing the cost function including the total load, the total completion time, the total absolute deviation of completion time and the total resource cost. We show that the problem is polynomial time solvable if the number of machines is a given constant.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNeural computing and applications, Oct. 2016, v. 27, no. 7, p. 1993-2000en_US
dcterms.isPartOfNeural computing and applicationsen_US
dcterms.issued2016-10-
dc.identifier.scopus2-s2.0-84938099193-
dc.identifier.eissn1433-3058en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0918-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Scienc and echnology Development Project of Jilin Province of China; The Hong Kong Polytechnic University; the National Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6566249-
dc.description.oaCategoryGreen (AAM)en_US
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