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作 者:许莹 Ying Xu(Business School,University of Shanghai for Science and Technology,Shanghai)
机构地区:[1]上海理工大学管理学院,上海
出 处:《建模与仿真》2025年第1期1046-1051,共6页Modeling and Simulation
摘 要:本文探讨了供应链网络在中断和重连情况下的韧性,重点分析了网络在遭受干扰后的恢复能力。通过模拟攻击供应链网络的关键节点,研究揭示了节点地位对网络性能变化的影响。采用度中心性等指标评估节点重要性,并构建BA无标度网络模型进行仿真实验,模拟节点失效与恢复过程。研究发现,网络中度排名较高的节点失效会对网络恢复后的连边造成不可完全恢复的影响,而其他节点的失效与恢复过程对网络性能影响较小。因此,建议在真实企业供应链网络中应重点保护度较高的节点,以降低网络中断对工作效率的负面影响。This article examines the resilience of supply chain networks in the face of disruptions and reconnections,with a focus on the network’s capacity to recover following disturbances.By simulating attacks on key nodes within the supply chain network,the study highlights the influence of node status on changes in network performance.Node importance is evaluated using metrics such as degree centrality,and a BA scale-free network model is employed for simulation experiments to model the process of node failure and recovery.The research indicates that the failure of nodes with higher degree rankings can result in irreversible impacts on the network’s connectivity post-recovery,whereas the failure and recovery processes of other nodes have minimal effects on network performance.Consequently,it is recommended that in actual enterprise supply chain networks,nodes with higher degrees should be given priority for protection to mitigate the adverse effects of network disruptions on operational efficiency.
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