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dc.contributor.authorSaen, Reza Farzipooren_US
dc.date.accessioned2017-05-03T15:46:56Z
dc.date.available2017-05-03T15:46:56Z
dc.date.issued2011en_US
dc.date.modified2011-09-30T04:20:10Z
dc.identifier.issn02175959en_US
dc.identifier.doi10.1142/S0217595911003156en_AU
dc.identifier.urihttp://hdl.handle.net/10072/41043
dc.description.abstractThis paper introduces a model for dealing with selecting third-party reverse logistics (3PL) providers in the presence of both dual-role factors and imprecise data. The proposed model is based on data envelopment analysis (DEA). A numerical example demonstrates the application of the proposed method.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherWorld Scientific Publishing Co. Pte. Ltd.en_US
dc.publisher.placeSingaporeen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom239en_US
dc.relation.ispartofpageto254en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalAsia-Pacific Journal of Operational Researchen_US
dc.relation.ispartofvolume28en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchCommerce, Management, Tourism and Services not elsewhere classifieden_US
dc.subject.fieldofresearchcode159999en_US
dc.titleA Decision Model for Selecting Third-Party Reverse Logistics Providers in the Presence of both Dual-Role Factors and Imprecise Dataen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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