IMPROVED GREY CORRELATIVE METHOD FOR SUPPLIER SELECTION

被引:0
|
作者
Yang, Yu-Zhong [1 ]
Wu, Li-Yun [1 ]
机构
[1] Henan Polytech Univ, Sch Energy Sci & Engn, Jiaozuo 454003, Henan, Peoples R China
来源
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词
grey correlative; entropy; supplier selection; balanced adjacent DEGREE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Supplier selection is a key phase in supply chain management. The system of evaluation indices for supplier selection was put forward based on coal group Corporation Ltd. At the same time, the multi-level improved grey synthetic evaluation model was constructed. The subjectivity which lies in ascertaining factors' weights in lower hierarchy was avoided in this model. So the evaluation result is more objective than other evaluation methods. The evaluation model was applied in supplier selection in Ping Dingshan coal group Corporation Ltd. The order preference of suppliers is attained. The best supplier and better suppliers are ascertained for the enterprise. The evaluation result indicates that this method is more reasonable and easier to grasp than other methods. Moreover, it is easier to implement this evaluation method in enterprises.
引用
收藏
页码:308 / +
页数:2
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