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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1391

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dc.contributor.authorManoj Kumar-
dc.contributor.authorVrat, Prem-
dc.contributor.authorShankar, R-
dc.date.accessioned2006-02-22T05:31:52Z-
dc.date.available2006-02-22T05:31:52Z-
dc.date.issued2004-
dc.identifier.citationComputers & Industrial Engineering, 46(1), 69-85en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/1391-
dc.description.abstractA fuzzy goal programming approach is applied in this paper for solving the vendor selection problem with multiple objectives, in which some of the parameters are fuzzy in nature. A vendor selection problem has been formulated as a fuzzy mixed integer goal programming vendor selection problem that includes three primary goals: minimizing the net cost, minimizing the net rejections, and minimizing the net late deliveries subject to realistic constraints regarding buyer's demand, vendors' capacity, vendors' quota flexibility, purchase value of items, budget allocation to individual vendor, etc. An illustration with a data set from a realistic situation is included to demonstrate the effectiveness of the proposed model. The proposed approach has the capability to handle realistic situations in a fuzzy environment and provides a better decision tool for the vendor selection decision in a supply chain.en
dc.format.extent522246 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectVendor selection problemen
dc.subjectSupply chainen
dc.subjectMulti-criterion decisionen
dc.subjectFuzzy setsen
dc.titleA fuzzy goal programming approach for vendor selection problem in a supply chainen
dc.typeArticleen
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