Controlling the risk propagation in complex weighted supply chain networks

ZhiGang Zhao; ZhiFang Zhao

doi:10.1117/12.2681717

1 June 2023 Controlling the risk propagation in complex weighted supply chain networks

ZhiGang Zhao, ZhiFang Zhao

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 1271826 (2023) https://doi.org/10.1117/12.2681717
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

In this study, the dynamic model and immunity strategy for the risk propagation in complex weighted supply chain networks are investigated. First, the BA scale free network model is improved, and a dynamic complex supply chain network model is constructed. Second, the risk propagation in the supply chain network is simulated based on the traditional SIR(Susceptible-Infected-Recovered) model, and various types of immunity strategies for the nodes in the network are examined and proposed. The results of the simulation experiment indicate that the proposed compound targeted immunity strategy leads to better immunity than the traditional target immunity. Furthermore, the immunity of the network can be improved by adjusting the network structural parameters, and these findings can act as guidelines for evaluating the immunity strategy and controlling the risk propagation in complex weighted supply chain networks.

Citation Download Citation

ZhiGang Zhao and ZhiFang Zhao "Controlling the risk propagation in complex weighted supply chain networks", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 1271826 (1 June 2023); https://doi.org/10.1117/12.2681717

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