Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104533
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorWang, JBen_US
dc.creatorLiu, Men_US
dc.creatorYin, Nen_US
dc.creatorJi, Pen_US
dc.date.accessioned2024-02-05T08:50:52Z-
dc.date.available2024-02-05T08:50:52Z-
dc.identifier.issn1547-5816en_US
dc.identifier.urihttp://hdl.handle.net/10397/104533-
dc.language.isoenen_US
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.rightsThis article has been published in a revised form in Journal of Industrial and Management Optimization [http://dx.doi.org/10.3934/jimo.2016060]. This version is free to download for private research and study only. Not for redistribution, re-sale or use in derivative works.en_US
dc.subjectDeterioration joben_US
dc.subjectLearning effecten_US
dc.subjectResource allocationen_US
dc.subjectSchedulingen_US
dc.titleScheduling jobs with controllable processing time, truncated job-dependent learning and deterioration effectsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1025en_US
dc.identifier.epage1039en_US
dc.identifier.volume13en_US
dc.identifier.issue2en_US
dc.identifier.doi10.3934/jimo.2016060en_US
dcterms.abstractIn this paper, we consider single machine scheduling problems with controllable processing time (resource allocation), truncated job-dependent learning and deterioration effects. The goal is to find the optimal sequence of jobs and the optimal resource allocation separately for minimizing a cost function containing makespan (total completion time, total absolute differences in completion times) and/or total resource cost. For two different processing time functions, i.e., a linear and a convex function of the amount of a common continuously divisible resource allocated to the job, we solve them in polynomial time respectively.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of industrial and management optimization, Apr. 2017, v. 13, no. 2, p. 1025-1039en_US
dcterms.isPartOfJournal of industrial and management optimizationen_US
dcterms.issued2017-04-
dc.identifier.scopus2-s2.0-85016112724-
dc.identifier.eissn1553-166Xen_US
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0819-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6733942-
dc.description.oaCategoryGreen (AAM)en_US
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