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dc.contributor.authorRosenberg, D.en
dc.contributor.authorWu, C.en
dc.contributor.authorBarnes, D.en
dc.contributor.authorLuo, X.en
dc.date.accessioned2013-11-12T14:40:34Z
dc.date.available2013-11-12T14:40:34Z
dc.date.issued2009
dc.identifier.citationWu, C., Barnes, D., Rosenberg, D. and Luo, X. (2009) An analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chains. Production Planning & Control: The Management of Operations, 20 (3), pp 254-275en
dc.identifier.urihttp://hdl.handle.net/2086/9349
dc.description.abstractThis article proposes a two-stage approach, based on the application of an analytic network process-mixed integer multi-objective programming (ANP-MIMOP) model, to solve the problem of partner selection in agile supply chains (ASCs). A key requirement of an ASC is that its constituents (suppliers, producers, distributors, etc.) can combine and react to fast-changing customer demand as efficiently and effectively as possible. An ASC needs to adopt the most appropriate supply chain structure and assign the most suitable order quantities to the most appropriate supply partners in any given circumstance. In the first stage, an ANP methodology is applied to calculate the priorities of different criteria for partner selection. Secondly, using these priorities, a MIMOP method is used to determine the supply chain structure and optimise the allocation of order quantities. An illustrative example is used to demonstrate the approach, obtain insights into its application and identify issues for future research.en
dc.language.isoenen
dc.publisherTaylor & Francis Groupen
dc.subjectagile supply chainen
dc.subjectpartner selectionen
dc.subjectanalytic network processen
dc.subjectmixed-integer multi-objective programmingen
dc.titleAn analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chainsen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1080/09537280902856047
dc.researchgroupSoftware Technology Research Laboratory (STRL)en
dc.funderNAen
dc.projectidNAen


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