Supplier Selection and Order Size Determination in a Supply Chain by Using Fuzzy Multiple Objective Models

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dc.contributor.authorAyazi, Seyed Ali
dc.contributor.authorMoradi, Javad Siahkali
dc.contributor.authorPaksoy, Turan
dc.date.accessioned2020-03-26T18:58:32Z
dc.date.available2020-03-26T18:58:32Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractDuring recent years, determining supplier selection in the supply chain has become very important as a core competency for organizations. Trying to establish an effective and long term communication and cooperation with suppliers can play an important role in strengthening and balancing of supply chain. However, the nature of supplier selection is a complex multi-criteria problem that includes both quantitative and qualitative factors. These factors may be in conflict and may also be uncertain and it needs adequate methods to be evaluated. This process is becoming more complex when a group of decision makers have to make some controversial decisions. In this paper, we tried to utilize a fuzzy programming method to determine the order size from each supplier and apply different criteria that are in contrast with each other. For solving this problem we first determined the related weight of each variable in the objective function by utilizing a fuzzy VIKOR method. In VIKOR model we assumed that compromising is acceptable for conflict resolution and decision makers want a solution that is the closest to the ideal solution, and the alternatives are evaluated according to all established criteria. Also linguistic values are used to assess the ratings and weights for these factors. These linguistic ratings can be expressed in fuzzy numbers. After obtaining weights of variables by Fuzzy VIKOR, constraints were determined. Then with contribution of fuzzy VIKOR prioritization, the weight of each alternative (supplier) is calculated. Then we put each alternative with its weight in a multiple objectives model to determine order size of each alternative. Solving the fuzzy multiple objectives model leads us to each supplier's order size. Finally for solving the Fuzzy MODM (Multiple Objective Decision Making) we apply alpha-cuts and calculated different results in relation to every alpha-cut.en_US
dc.identifier.endpage160en_US
dc.identifier.issn1542-3980en_US
dc.identifier.issn1542-3999en_US
dc.identifier.issue01.02.2020en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage135en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31159
dc.identifier.volume23en_US
dc.identifier.wosWOS:000336074700007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherOLD CITY PUBLISHING INCen_US
dc.relation.ispartofJOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSupplier prioritizationen_US
dc.subjectOrder Size Planningen_US
dc.subjectFuzzy MODMen_US
dc.subjectFuzzy MADMen_US
dc.subjectFuzzy VIKORen_US
dc.subjectalpha-cuten_US
dc.titleSupplier Selection and Order Size Determination in a Supply Chain by Using Fuzzy Multiple Objective Modelsen_US
dc.typeArticleen_US

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