计算机工程与应用Issue(4)：18-23,6.DOI:10.3778/j.issn.1002-8331.1306-0255
供应商协同能力评价指标体系研究
Study on index system for evaluating supplier collaboration capabilities
摘要
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.关键词
供应链协同/供应商评价指标体系/组合变异/改进的模糊C-均值聚类遗传算法/指标筛选Key words
supply chain collaboration/index system of supplier evaluation/combinational mutation/Improved Fuzzy C-means Clustering Genetic Algorithm(IFCMGA)/indictor screening分类
信息技术与安全科学引用本文复制引用
曾明华,王吟松,杨晓光..供应商协同能力评价指标体系研究[J].计算机工程与应用,2014,(4):18-23,6.基金项目
国家自然科学基金项目（No.71071165）；国家自然科学基金重点项目（No.51238008）；江西省科技支撑计划（No.20133BBG70104）。 （）
