Comprehensive prediction model of supply chain performance
Huizhong Dong, Chengdong Shi · 2011
Performance prediction of supply chain is an important content of supply chain management. This paper establishes a supply chain performance prediction model by using fuzzy neural net in combination with fuzzy rough set based on Knowledge Discovery in Data (KDD) and Data-mining Technology. Through a case of supply chain performance prediction, the author reduces the indexes of an evaluation index system based on balanced scorecard system. Then the remaining indexes are inputted into BP neural network for intelligent training. Finally, the prediction sample data is inputted into the trained network BP, we can get supply chain performance prediction value. The result shows that the model has much higher precision and less errors and the predicted result accords with the experiment data basically.