风险传导下的供应链鲁棒性分析与仿真研究

Analysis and Simulation Research of Supply Chain Robustness Considering the Risk Transmission

摘要:

运用复杂网络、Repast（recursive porus agent simulation toolkit）仿真的方法综合分析风险传导下的供应链鲁 棒性问题。首先对供应链的风险传导进行分析；然后基于复杂网络的静态拓扑连接特性，给出一种以列昂杰夫矩阵 及其欧几里德范数作为度量供应链鲁棒性指标的方法；继而基于Repast S 仿真分析风险传导下的供应链系统鲁棒性 表现，得到在供应链网络中节点企业（点）和企业间联系（边）最初出现风险时对供应链鲁棒性影响的差异等结论。

Abstract:

This paper mainly researched the complex supply chain robustness considering the risk infection, using the methods of complex network and REPAST simulation. First, this paper carried on an in-depth analysis on the infection of supply chain risk. Moreover, based on the characteristics of complex static topology of the network connection, this paper put forward a Leon Jeff matrix and its Euclidean norm as a measure of the supply chain robustness indicators. Then, the robustness performance of the supply chain system under risk infection was analyzed with the simulation tool of Repast S. Finally, a conclusion was drawn that the influences on supply chain robustness are different when node enterprises (points) and their relationship (edges) are at risk in the supply chain network.