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A hybrid intelligent approach for supply chain management system

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dc.contributor.authors Kubat, C; Yuce, B;
dc.date.accessioned 2020-02-25T11:41:33Z
dc.date.available 2020-02-25T11:41:33Z
dc.date.issued 2012
dc.identifier.citation Kubat, C; Yuce, B; (2012). A hybrid intelligent approach for supply chain management system. JOURNAL OF INTELLIGENT MANUFACTURING, 23, 1244-1237
dc.identifier.issn 0956-5515
dc.identifier.uri https://doi.org/10.1007/s10845-010-0431-2
dc.identifier.uri https://hdl.handle.net/20.500.12619/48303
dc.description.abstract The process of supplier selection is one of the key processes in the industry since the suppliers play a key role in regards to the competitive advantage. It is therefore important to identify and select good suppliers. Supplier selection can be considered a decision-making problem with many criteria, which include both qualitative and quantitative elements, such as; purchase cost, quality level, supplier risk etc. The best process to be designed for selecting the suppliers may require a compromise in terms of these elements. A general framework, which combines Analytic Hierarchy Process (AHP), Fuzzy AHP and Genetic Algorithm (GA) in order to determine the best set of suppliers, is proposed in this study.
dc.language English
dc.publisher SPRINGER
dc.subject Engineering
dc.title A hybrid intelligent approach for supply chain management system
dc.type Article
dc.identifier.volume 23
dc.identifier.startpage 1237
dc.identifier.endpage 1244
dc.contributor.department Sakarya Üniversitesi/Fen Bilimleri Enstitüsü/Endüstri Mühendisliği Anabilim Dalı
dc.contributor.saüauthor Kubat, Cemalettin
dc.contributor.saüauthor Yüce, Barış
dc.relation.journal JOURNAL OF INTELLIGENT MANUFACTURING
dc.identifier.wos WOS:000306436200028
dc.identifier.doi 10.1007/s10845-010-0431-2
dc.contributor.author Kubat, Cemalettin
dc.contributor.author Yüce, Barış


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