An Artificial Intelligence Algorithm for Improving the Resilience and Security Level of Industrial and Supply Chains

In the delivery of demand fluctuations, the supply of the industrial chain plays a significant role, but there are problems of its fluctuation amplitude and security. Therefore, based on the tracing algorithm, this paper analyzes the supply link of the industrial chain, and establishes a mechanism with the data of resilience and safety indicators in the supply chain and the complex external environment. The results show that the tracing algorithm proposed in this paper can improve the security level to more than 90%, while the security level of the traditional industrial chain analysis method is between 80%~84%. The effect of the tracking analysis method is greater than 94%, and the average change of upstream and downstream industrial content is relatively stable. Therefore, the tracing algorithm can improve the supply resilience and security level of the industrial chain, give full play to the role of artificial intelligence algorithms, and improve the corresponding guarantee mechanism.