Evaluation of Supply Chain Performance Based on BP Neural Network
Evaluation of supply chain performance is vital to the operation and management of supply chain. This paper constructed an evaluation index system of supply chain performance. The index system was composed of satisfaction degree of customer,information sharing degree,logistics level and financial conditions. Then the paper established a supply chain performance evaluation model with multilayer feedforward neural network structure based on error backpropagation (BP) algorithm. The model combined quantitative with qualitative analysis and had strong self-learning,selfadaptation,parallel processing and nonlinear conversion capabilities. Finally the paper developed a case study. The result shows that BP neural network is of fast speed and high accuracy in nonlinear identification and provides a new method to evaluate supply chain performance. Future evaluation method should focus on the combination of quantitative with qualitative analysis and the validity and practicability of management model.
supply chain:performance evaluation:BP neural network:evaluation model
Jiulong Zhu
School of Economics and Management Zhongyuan University of Technology Zhengzhou,P. R. China
国际会议
成都
英文
505-509
2010-04-16（万方平台首次上网日期，不代表论文的发表时间）