Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21443
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dc.contributorInstitute of Textiles and Clothing-
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorLi, Z-
dc.creatorWong, WK-
dc.creatorKwong, CK-
dc.date.accessioned2015-07-14T01:29:11Z-
dc.date.available2015-07-14T01:29:11Z-
dc.identifier.issn1024-123Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/21443-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2013 Zhi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following article: Zhi Li, W. K. Wong, and C. K. Kwong, “An Integrated Model of Material Supplier Selection and Order Allocation Using Fuzzy Extended AHP and Multiobjective Programming,” Mathematical Problems in Engineering, vol. 2013, Article ID 363718, 14 pages, 2013, is available at https://doi.org/10.1155/2013/363718en_US
dc.titleAn integrated model of material supplier selection and order allocation using fuzzy extended AHP and multiobjective programmingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2013en_US
dc.identifier.doi10.1155/2013/363718en_US
dcterms.abstractThis paper presents a supplier selection and order allocation (SSOA) model to solve the problem of a multiperiod supplier selection and then order allocation in the environment of short product life cycle and frequent material purchasing, for example, fast fashion environment in apparel industry. At the first stage, with consideration of multiple decision criteria and the fuzziness of the data involved in deciding the preferences of multiple decision variables in supplier selection, the fuzzy extent analytic hierarchy process (FEAHP) is adopted. In the second stage, supplier ranks are inputted into an order allocation model that aims at minimizing the risk of material purchasing and minimizing the total material purchasing costs using a dynamic programming approach, subject to constraints on deterministic customer demand and deterministic supplier capacity. Numerical examples are presented, and computational results are reported.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMathematical problems in engineering, 2013, v. 2013, 363718-
dcterms.isPartOfMathematical problems in engineering-
dcterms.issued2013-
dc.identifier.isiWOS:000315883200001-
dc.identifier.scopus2-s2.0-84875553134-
dc.identifier.eissn1563-5147en_US
dc.identifier.rosgroupidr68050-
dc.description.ros2013-2014 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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