基于数据挖掘的电力物资供应链风险预警系统设计OACSTPCD

In order to solve the challenges brought by the rapid development of power material supply chain,the design of risk early warning system for power material supply chain based on data mining is proposed.By analyzing the structure and operation process of power material supply chain,the risk of power material supply chain is identified and classified.On this basis,the risk early warning index system of supply chain is constructed,the risk early warning index data is clustered by data mining technology,the risk early warning procedure of power material supply chain is formulated,the weight coefficient of risk early warning index and the decision rule of risk early warning level are determined,and the final risk early warning result of supply chain is obtained.The experimental data show that the maximum value of the data mining depth factor of risk early warning indicators obtained by the design system is 0.98 under different experimental working conditions,and the supply chain risk early warning results are consistent with the actual results,which fully proves that the design system has good application effect.