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

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  • Tang, Liang
  • Jing, Ke
  • He, Jie
  • Stanley, H. Eugene

Abstract

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.

Suggested Citation

  • Tang, Liang & Jing, Ke & He, Jie & Stanley, H. Eugene, 2016. "Robustness of assembly supply chain networks by considering risk propagation and cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 129-139.
    • Handle: RePEc:eee:phsmap:v:459:y:2016:i:c:p:129-139
    DOI: 10.1016/j.physa.2016.04.030
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    References listed on IDEAS

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