DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorYuan, Jen_US
dc.creatorNg, CTen_US
dc.creatorCheng, TCEen_US
dc.date.accessioned2021-08-20T02:04:28Z-
dc.date.available2021-08-20T02:04:28Z-
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://hdl.handle.net/10397/90693-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectMachine schedulingen_US
dc.subjectMulti-agenten_US
dc.subjectMulti-criteriaen_US
dc.subjectPareto schedulingen_US
dc.titleScheduling with release dates and preemption to minimize multiple max-form objective functionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage860en_US
dc.identifier.epage875en_US
dc.identifier.volume280en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1016/j.ejor.2019.07.072en_US
dcterms.abstractIn this paper, we study multi-agent scheduling with release dates and preemption on a single machine, where the scheduling objective function of each agent to be minimized is regular and of the maximum form (max-form). The multi-agent aspect has three versions, namely ND-agent (multiple agents with non-disjoint job sets), ID-agent (multiple agents with an identical job set), and CO-agent (multiple competing agents with mutually disjoint job sets). We consider three types of problems: The first type (type-1) is the constrained scheduling problem, in which one objective function is to be minimized, subject to the restriction that the values of the other objective functions are upper bounded. The second type (type-2) is the weighted-sum scheduling problem, in which a positive combination of the objective functions is to be minimized. The third type (type-3) is the Pareto scheduling problem, for which we aim to find all the Pareto-optimal points and their corresponding Pareto-optimal schedules. We show that the type-1 problems are polynomially solvable, and the type-2 and type-3 problems are strongly NP-hard even when all jobs’ release dates are zero and processing times are one. When the number of the scheduling criteria is fixed and they are all lateness-like, such as minimizing Cmax, Fmax, Lmax, Tmax, and WCmax, where WCmax is the maximum weighted completion time of the jobs, the type-2 and type-3 problems are polynomially solvable. To address the type-3 problems, we develop a new solution technique that guesses the Pareto-optimal points through some elaborately constructed schedule-configurations.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationEuropean journal of operational research, 1 Feb. 2020, v. 280, no. 3, p. 860-875en_US
dcterms.isPartOfEuropean journal of operational researchen_US
dcterms.issued2020-02-
dc.identifier.scopus2-s2.0-85070278217-
dc.identifier.eissn1872-6860en_US
dc.description.validate202108 bcvcen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1007-n03-
dc.identifier.SubFormID2416-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research was supported in part by The Hong Kong Polytechnic University under the Fung Yiu King - Wing Hang Bank Endowed Professorship in Business Administration.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2022.02.28en_US
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