Robustness of assembly supply chain networks by considering risk propagation and cascading failure

被引:56
作者
Tang, Liang [1 ,2 ,3 ]
Jing, Ke [4 ]
He, Jie [1 ]
Stanley, H. Eugene [3 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China
[2] Shenyang Aerosp Univ, Dept Ind Engn, Shenyang 110136, Liaoning, Peoples R China
[3] Boston Univ, Dept Phys, Boston, MA 02215 USA
[4] Shenyang Aerosp Univ, Sch Econ & Management, Shenyang 110136, Liaoning, Peoples R China
基金
美国国家科学基金会; 中国博士后科学基金; 中国国家自然科学基金;
关键词
ASCN; Cascading failure; Risk propagation; Network robustness; DISRUPTIONS; MITIGATION; SECURITY;
D O I
10.1016/j.physa.2016.04.030
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
An assembly supply chain network (ASCN) is composed of manufacturers located in different geographical regions. To analyze the robustness of this ASCN when it suffers from catastrophe disruption events, we construct a cascading failure model of risk propagation. In our model, different disruption scenarios s are considered and the probability equation of all disruption scenarios is developed. Using production capability loss as the robustness index (RI) of an ASCN, we conduct a numerical simulation to assess its robustness. Through simulation, we compare the network robustness at different values of linking intensity and node threshold and find that weak linking intensity or high node threshold increases the robustness of the ASCN. We also compare network robustness levels under different disruption scenarios. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:129 / 139
页数:11
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