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

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

Physica A: Statistical Mechanics and its Applications, 2016, vol. 459, issue C, 129-139

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.

Keywords: ASCN; Cascading failure; Risk propagation; Network robustness (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:459:y:2016:i:c:p:129-139

DOI: 10.1016/j.physa.2016.04.030

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