Supply Chain Performance Comprehensive Evaluation Based on Support Vector Machine

Abstract

The competition among enterprises has evolved into the supply chains competition. The evaluations of cross-process, cross-function, cross organization have been brought into supply chain performance evaluation system. Therefore, the study and analysis on supply chain performance evaluation, which adapts globalization supply chain competition environment, has important significant. Firstly, the paper analyzed the impact factors of supply chain performance, constructed the supply chain performance evaluation index system. Secondly, the paper has used information entropy to reduce the indices, established comprehensive evaluation model based on support vector machine (SVM). Finally, the paper investigated 26 supply chains data and used model to run simulative evaluation. The results were more precise than traditional back propagation (BP) neural network’s evaluation results, which proved the feasibility and validity of the method.