基于度和介数的供应链网络级联失效研究

Research on Cascading Failure of Supply Chain Network Based on Degree and Betweeness

摘要: 在供应链网络中，企业不仅可以承接上下游企业的生产制造订单，还可以接受部分的供应链网络中物流运输，仓储等任务。由于企业在供应链网络中的位置不同，可以发展的额外业务量也不同。考虑到这一点，本研究在构建负载–容量模型研究供应链网络的级联失效基础上，将节点的负载分为生产负载和运输负载，即节点度和介数的函数。然后在经典的BA网络和随机网上进行仿真模拟。研究相关参数对网络鲁棒性的影响，并分析网络鲁棒性指标的变化趋势。研究发现：当增加运输负载后，无标度网络的鲁棒性先降低后提升，而随机网络的鲁棒性有一定的提升。

Abstract: In the supply chain network, enterprises can not only undertake the production and manufacturing orders of upstream and downstream enterprises, but also accept logistics transportation, ware-housing, and other tasks in part of the supply chain network. Due to the different locations of busi-nesses in the supply chain network, the amount of additional business that can be developed is also different. With this in mind, this study divides the load of nodes into production load and transpor-tation load, that is, a function of node degree and mediation number, based on the construction of the load-capacity model to study cascading failures in supply chain networks. Simulations are then carried out on classic BA networks and random networks. The influence of relevant parameters on network robustness is studied, and the changing trend of network robustness indicators is analyzed. It is found that when the transport load is increased, the robustness of the scale-free network is first reduced and then improved. The robustness of random networks has been improved.