An effective supply chain performance prediction method and its application

This article sets up a supply chain performance prediction model based on rough sets and support vector regression machine (SVR) from knowledge discovery and data mining perspectives. According to a supply chain performance prediction example, the index can be reduced based on balanced scorecard system, and input the reduction index to SVR for training. Then, the forecast sample are put in the model and get supply chain performance predictive value. The forecast result is fitted with the actual result.