Abstract:

Relevant factors of supply risk between high-tech equipment manufacturing industry and suppliers are identified to set up the supply risk predicting index system. On this basis, the supply risk predicting model is established with support vector machine (SVM) approach and Libsvm (a library for support vector machine) technology. The case study shows that all the model’s evaluation coefficients such as mean square error (MSE), mean difference between measurement and simulation (MD), coefficient of residual mass (CRM) and coefficient of determination (CD) show good simulation result, and the system error is not significant. The supply risk predicting model has good suitability and accuracy in supply risk management.