针对传统供应链绩效评价在指标赋权以及样本数据信息挖掘上的不足,探讨了一种基于G1-DEA和TOPSIS-灰色关联分析的供应链绩效评价方法。文章首先利用G1法和DEA法分别确定指标的主客观权重,进而引进偏好系数对指标进行组合赋权；然后在考虑TOPSIS法和灰色关联分析法各自优劣的基础上,给出了TOPSIS-灰色关联分析法的原理和步骤,从而对样本的数据信息进行充分挖掘。文章最后以企业内部供应链为例,进行了实例验证分析,说明了该方法的合理性与较强的可拓展性。

This article in view of the deficiency of traditional supply chain performance evaluation in index weight and sample data mining, discussed a kind of method of supply chain performance evaluation based on the G1-DEA and TOPSIS-grey relational analysis. Firstly, the GI and DEA method were respectively used to determine the index of subjective and objective weights in this article, and then the perference coefficient was introduced to determine combination weights for index. Secondly,on the basis of considering the advantages and disadvantages of TOPSIS method and grey relational analysis method, the principle and approach about TOPSIS-grey relational analysis method were given, so the sample data information was fully excavated. Finally, this article carried out example verification and comparative analysis to illustrate the rationality, superiority and strong scalability of this method.

F272.5

国家自然科学基金资助项目(71263039)；江西省社会科学“十二五”规划项目(15YJ18)