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Supplier selection with an integrated methodology in unknown environment

dc.contributor.authorKara, Selin Soner
dc.date.accessioned2026-06-27T13:14:37Z
dc.date.issued2011
dc.description.abstractThis paper proposes an integrated methodology and its solution for supplier selection problem. A two-stage stochastic programming model and fuzzy TOPSIS methods are consolidated in this methodology. After pre-research phase, in the second part of the methodology, fuzzy TOPSIS is used for ranking potential suppliers considering qualitative data under fuzzy environment. In the third part of the methodology a group of ranked potential suppliers are included in a two-stage stochastic programming model for evaluation. In the two-stage stochastic programming model demand is assumed as uncertain and different scenarios are generated for this parameter. With this methodology, supplier evaluation procedure can be done in unknown environment. Our methodology is interested with a problem in multi-product, multi-period and multi-sourcing environment. (C) 2010 Elsevier Ltd. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.eswa.2010.07.154
dc.identifier.doi10.1016/j.eswa.2010.07.154
dc.identifier.endpage2139
dc.identifier.issn0957-4174
dc.identifier.issue3
dc.identifier.startpage2133
dc.identifier.urihttps://hdl.handle.net/20.500.14981/50955
dc.identifier.volume38
dc.identifier.wos000284863200093
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.subjectSupplier selection
dc.subjectFuzzy TOPSIS
dc.subjectTwo-stage stochastic programming
dc.subjectDECISION-MAKING
dc.subjectQUANTITY DISCOUNT
dc.subjectFUZZY
dc.subjectNETWORK
dc.subjectDESIGN
dc.subjectMODEL
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectOperations Research & Management Science
dc.titleSupplier selection with an integrated methodology in unknown environment
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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