Show simple item record

dc.contributor.authorSaen, Reza Farzipooren_US
dc.date.accessioned2017-05-03T15:46:55Z
dc.date.available2017-05-03T15:46:55Z
dc.date.issued2010en_US
dc.date.modified2011-05-11T07:23:43Z
dc.identifier.issn02683768en_US
dc.identifier.doi10.1007/s00170-010-2694-3en_AU
dc.identifier.urihttp://hdl.handle.net/10072/36485
dc.description.abstractSupplier selection plays a key role in an organization because the cost of raw material constitutes the main cost of the final product. Selecting an appropriate supplier is now one of the most important decisions of the purchasing department. This decision generally depends on a number of different criteria. The objective of this paper is to propose a data envelopment analysis methodology that considers both undesirable outputs and imprecise data simultaneously. The proposed model is applied in supplier selection problem. A numerical example demonstrates the application of the proposed method.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent206033 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1243en_US
dc.relation.ispartofpageto1250en_US
dc.relation.ispartofissue9-12en_US
dc.relation.ispartofjournalInternational Journal of Advanced Manufacturing Technologyen_US
dc.relation.ispartofvolume51en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchLogistics and Supply Chain Managementen_US
dc.subject.fieldofresearchcode150309en_US
dc.titleDeveloping a New Data Envelopment Analysis Methodology for Supplier Selection in the Presence of both Undesirable Outputs and Imprecise Dataen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2010 Springer London. This is an electronic version of an article published in The International Journal of Advanced Manufacturing Technology, Volume 51, Numbers 9-12, 1243-1250. The International Journal of Advanced Manufacturing Technology is available online at: http://www.springerlink.com/ with the open URL of your article.en_AU
gro.date.issued2010
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record