基于G1-DEA和TOPSIS-灰色关联分析的供应链绩效评价方法——以企业内部供应链为例  

Research on the Method of Supply Chain Performance Evaluation Based on the G1-DEA and TOPSIS——grey Relational Analysis

作　　者：何宜庆[1] 李论[1] 白彩全[2] 

机构地区：[1]南昌大学经济管理学院,江西南昌330031 [2]南昌大学理学院,江西南昌330031

出　　处：《科技管理研究》2016年第16期68-73,共6页Science and Technology Management Research

基　　金：国家自然科学基金资助项目"金融集聚;要素流动与区域经济空间差异及趋同演化仿真研究:生态效率的视角"(71263039);教育部人文社会科学研究青年基金项目"基于两层规划理论的易逝品市场导入与更新策略研究"(15YJC630125);江西省社会科学(2015)"十二五"规划项目"‘昌九新区’金融集聚;经济增长与生态效率提升的对策研究"(15YJ18)

摘　　要：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,探讨一种基于G1-DEA和TOPSIS-灰色关联分析的供应链绩效评价方法。利用G1法和DEA法分别确定指标的主客观权重,引进偏好系数对指标进行组合赋权,在考虑TOPSIS法和灰色关联分析法各自优劣的基础上,给出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。最后以企业内部供应链为例,进行实例验证分析,说明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 sam- ple 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 preference coefficient was introduced to determine combination weights for in- dex. 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 informa- tion was fully excavated. Finally, this article carried out example verification and comparative analysis to illustrate the ra- tionality, superiority and strong scalability of this method.

关 键 词：序关系分析 数据包络分析 灰色关联分析 理想解法 供应链 绩效评价 

分 类 号：F274[经济管理—企业管理]