基于复杂网络的供应链网络鲁棒性分析

摘要

供应链网络经常面临各种突发事件的干扰,使网络用户受到损失.为更好地提高供应链网络的鲁棒性能,采用复杂网络理论构建了带有可调参数的供应链网络演化模型.在给出供应链网络鲁棒性新测度的基础上,分析了在受到随机干扰和选择性干扰的情形下,用不同拓扑结构的供应链网络模型进行仿真分析.仿真结果表明:供应链网络的拓扑结构对供应链网络的鲁棒性有重要的影响,通过调整模型中的参数,改变网络的演化机制,可以达到改善供应链网络鲁捧性的目的,并对于提高供应链网络的抗干扰能力具有重要的现实和理论意义.%Supply chain networks often face several different types of disruptions. To better explore the robustness of supply chain network, an evolving model with tunable parameters for supply chain network was proposed. A new measure of supply chain network robustness was proposed. Under random disruption and target disruption, the different topologies of supply chain network robustness were analyzed. Simulation result shows that topology of supply chain network has great influence on its robustness; the purposes of improving supply chain network robustness can be a-chieved by adjusting the distance sensitive parameters and changing the evolution mechanism in the network. This research provides some references for analyzing the robustness in supply chain management.