Risk Propagation Mechanism Research Based on SITR Model of Complex Supply Networks

计算机科学 供应网络 机制(生物学) 业务 网络模型 供应链 复杂网络 编队网络 风险分析(工程)
作者
Jianjun Zhu,Yamin Cheng,Yuhuai Zhang
出处
期刊:International Journal of Information Systems and Supply Chain Management [IGI Global]
卷期号:14 (3): 18-38
标识
DOI:10.4018/ijisscm.2021070102
摘要

Supply chain risk management is an important topic in supply chain management. The authors investigate the rules and characteristics of risk propagation in complex supply networks. Aiming at the characteristics of complex supply chain with complex structure and large risk consequences, considering the different impact capabilities and different anti-risk capabilities of each enterprise node, this paper proposes a SITR (susceptible-infected-temporarily removed-completely removed) risk propagation model based on weighted networks. After the dynamic analysis of the proposed model, numerical simulation is performed, and a supply chain risk control strategy is proposed according to the simulation results. The research shows that the enterprise's complete recovery rate and risk infection rate have a greater impact on the risk propagation in the supply chain network. Enterprises should increase their awareness of risk management and control, improve their complete recovery rate, and reduce their risk of infection.
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