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。
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.
出处
《科技管理研究》
CSSCI
北大核心
2017年第14期245-253,共9页
Science and Technology Management Research
基金
国家自然科学基金项目"基于复杂系统视角的服务型制造信息系统鲁棒性运作机理和度量研究"(71571072)
广东省自然科学基金项目"房价波动经济溢出效应的实证检验"(2016A030313725)
关键词
供应链
鲁棒性
风险传导
列昂杰夫矩阵
supply chain
robustness
risk infection
Leonid Jeff matrix
