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dc.contributor.authorToloo, Mehdi
dc.date.accessioned2015-01-28T13:04:48Z
dc.date.available2015-01-28T13:04:48Z
dc.date.issued2014
dc.identifier.citationThe International Journal of Advanced Manufacturing Technology. 2014, vol. 74, issue 5-8, p. 1141-1148.cs
dc.identifier.issn0268-3768
dc.identifier.issn1433-3015
dc.identifier.urihttp://hdl.handle.net/10084/106367
dc.description.abstractSupplier selection, a multi-criteria decision making (MCDM) problem, is one of the most important strategic issues in supply chain management (SCM). A good solution to this problem significantly contributes to the overall supply chain performance. This paper proposes a new integrated mixed integer programming ‐ data envelopment analysis (MIP‐DEA) model for finding the most efficient suppliers in the presence of imprecise data. Using this model, a new method for full ranking of units is introduced. This method tackles some drawbacks of the previous methods and is computationally more efficient. The applicability of the proposed model is illustrated, and the results and performance are compared with the previous studies.cs
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofseriesThe International Journal of Advanced Manufacturing Technologycs
dc.relation.urihttp://dx.doi.org/10.1007/s00170-014-6035-9cs
dc.titleSelecting and full ranking suppliers with imprecise data: A new DEA methodcs
dc.typearticlecs
dc.identifier.doi10.1007/s00170-014-6035-9
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume74cs
dc.description.issue5-8cs
dc.description.lastpage1148cs
dc.description.firstpage1141cs
dc.identifier.wos000342486300049


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