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dc.contributor.authorSaen, Reza Farzipooren_US
dc.date.accessioned2017-05-03T15:46:57Z
dc.date.available2017-05-03T15:46:57Z
dc.date.issued2008en_US
dc.date.modified2011-02-17T07:32:44Z
dc.identifier.issn02683768en_US
dc.identifier.doi10.1007/s00170-007-1287-2en_AU
dc.identifier.urihttp://hdl.handle.net/10072/36364
dc.description.abstractTraditionally, supplier-selection models have been based on cardinal data with less emphasis on ordinal data. However, with the widespread use of manufacturing philosophies such as just-in-time (JIT), emphasis has shifted to the simultaneous consideration of cardinal and ordinal data in the supplier-selection process. The application of data envelopment analysis (DEA) for supplier-selection problems is based on total flexibility of the weights. However, the problem of allowing total flexibility of the weights is that the values of the weights obtained by solving the unrestricted DEA program are often in contradiction to prior views or additional available information. The objective of this paper is to propose a new pair of assurance region-imprecise data envelopment analysis (AR-IDEA) model for selecting the best suppliers in the presence of both weight restrictions and imprecise data. 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.publisherSpringeren_US
dc.publisher.placeUSAen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1061en_US
dc.relation.ispartofpageto1070en_US
dc.relation.ispartofissue11-12en_US
dc.relation.ispartofjournalThe International Journal of Advanced Manufacturing Technologyen_US
dc.relation.ispartofvolume39en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchBusiness and Management not elsewhere classifieden_US
dc.subject.fieldofresearchcode150399en_US
dc.titleSupplier Selection by the New AR-IDEA Modelen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2008
gro.hasfulltextNo Full Text


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