Abstract: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.