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dc.contributor.authorFathollahi-Fard, Amiren_US
dc.contributor.authorHajiaghaei-Keshteli, Mostafaen_US
dc.contributor.authorMirjalili, Seyedalien_US
dc.date.accessioned2019-06-19T13:08:07Z
dc.date.available2019-06-19T13:08:07Z
dc.date.issued2018en_US
dc.identifier.issn1872-9681en_US
dc.identifier.doi10.1016/j.asoc.2018.07.025en_US
dc.identifier.urihttp://hdl.handle.net/10072/380101
dc.description.abstractNowadays, operation managers usually need efficient supply chain networks including important design factors such as economic and social considerations. The recent decade has seen a rapid development of controlling the uncertainty in supply chain configurations along with proposing novel solution approaches. By investigating the related studies, this paper shows that most of the current studies consider the economic aspects and just a few works present the two-stage stochastic programming as well as social considerations to design a closed-loop supply chain network. This motivated our attempts to consider economic and social aspects simultaneously by using the mentioned suppositions among the first studies. Another main contribution of this paper is the hybridization and tuning of a number of recent algorithms to address the problem. The results show that the proposed hybrid metaheuristic algorithms outperform the best existing techniques on the majority of case studies.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherElsevieren_US
dc.publisher.placeNetherlandsen_US
dc.relation.ispartofpagefrom505en_US
dc.relation.ispartofpageto525en_US
dc.relation.ispartofjournalApplied Soft Computingen_US
dc.relation.ispartofvolume71en_US
dc.subject.fieldofresearchInformation Systems not elsewhere classifieden_US
dc.subject.fieldofresearchApplied Mathematicsen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processingen_US
dc.subject.fieldofresearchcode080699en_US
dc.subject.fieldofresearchcode0102en_US
dc.subject.fieldofresearchcode0801en_US
dc.titleMulti-objective stochastic closed-loop supply chain network design with social considerationsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dc.type.codeC - Journal Articlesen_US
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.description.versionPost-printen_US
gro.rights.copyright© 2018 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.en_US
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