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- W2372604808 abstract "Supply Chain Collaboration(SCC)has become a modern imperative management strategy to prepare a supply chain group for the increasingly fierce competition with other supply chain groups to create competitive advantage. As for SCC, supplier selection has significant importance. Through controlling the division of evolutionary population and the evolutionary process, a combinational mutation is designed with the use of Compression Mutation(CM)and Gauss Mutation(GM)and Improved Fuzzy C-means Clustering Genetic Algorithm(IFCMGA)is further proposed. Through analyses and expert investigations, the supplier evaluation indicators for SCC are preliminarily determined. IFCMGA algorithm is applied to classify these supplier collaboration capability evaluation indicators and the index system of supplier evaluation for SCC is built up with the classification results. Combining Fuzzy Analytic Hierarchy Process(FAHP)and important indictor screening method, indicators are analyzed and screened with reconstructed index system so as to provide a scientific decision making basis for the evaluation and selection of suppliers." @default.
- W2372604808 created "2016-06-24" @default.
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- W2372604808 date "2014-01-01" @default.
- W2372604808 modified "2023-09-26" @default.
- W2372604808 title "Study on index system for evaluating supplier collaboration capabilities" @default.
- W2372604808 hasPublicationYear "2014" @default.
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