%0 Journal Article %1 Tang2015Complex %A Tang, Liang %A Jing, Ke %A He, Jie %A Stanley, H. Eugene %D 2015 %J Physica A: Statistical Mechanics and its Applications %K infrastructures, local-load, resilience, supply-chain cascades interdependent-networks directed-networks %R 10.1016/j.physa.2015.09.082 %T Complex interdependent supply chain networks: Cascading failure and robustness %U http://dx.doi.org/10.1016/j.physa.2015.09.082 %X We construct a theoretical model of interdependent supply chain network. A time-varied cascading failure model of failed loads propagation is developed. We present a priority redistribution strategy for failed loads propagation. The robustness of supply chain network is assessed in three node removal ways. The simulation results show a sudden collapse of interdependent supply chain network. A supply chain network is a typical interdependent network composed of an undirected cyber-layer network and a directed physical-layer network. To analyze the robustness of this complex interdependent supply chain network when it suffers from disruption events that can cause nodes to fail, we use a cascading failure process that focuses on load propagation. We consider load propagation via connectivity links as node failure spreads through one layer of an interdependent network, and we develop a priority redistribution strategy for failed loads subject to flow constraint. Using a giant component function and a one-to-one directed interdependence relation between nodes in a cyber-layer network and physical-layer network, we construct time-varied functional equations to quantify the dynamic process of failed loads propagation in an interdependent network. Finally, we conduct a numerical simulation for two cases, i.e., single node removal and multiple node removal at the initial disruption. The simulation results show that when we increase the number of removed nodes in an interdependent supply chain network its robustness undergoes a first-order discontinuous phase transition, and that even removing a small number of nodes will cause it to crash.

@article{Tang2015Complex, abstract = {{ We construct a theoretical model of interdependent supply chain network. A time-varied cascading failure model of failed loads propagation is developed. We present a priority redistribution strategy for failed loads propagation. The robustness of supply chain network is assessed in three node removal ways. The simulation results show a sudden collapse of interdependent supply chain network. A supply chain network is a typical interdependent network composed of an undirected cyber-layer network and a directed physical-layer network. To analyze the robustness of this complex interdependent supply chain network when it suffers from disruption events that can cause nodes to fail, we use a cascading failure process that focuses on load propagation. We consider load propagation via connectivity links as node failure spreads through one layer of an interdependent network, and we develop a priority redistribution strategy for failed loads subject to flow constraint. Using a giant component function and a one-to-one directed interdependence relation between nodes in a cyber-layer network and physical-layer network, we construct time-varied functional equations to quantify the dynamic process of failed loads propagation in an interdependent network. Finally, we conduct a numerical simulation for two cases, i.e., single node removal and multiple node removal at the initial disruption. The simulation results show that when we increase the number of removed nodes in an interdependent supply chain network its robustness undergoes a first-order discontinuous phase transition, and that even removing a small number of nodes will cause it to crash.}}, added-at = {2019-06-10T14:53:09.000+0200}, author = {Tang, Liang and Jing, Ke and He, Jie and Stanley, H. Eugene}, biburl = {https://www.bibsonomy.org/bibtex/27fc86079e8a0f960daf50b85ab21e59f/nonancourt}, citeulike-article-id = {13795894}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.physa.2015.09.082}, doi = {10.1016/j.physa.2015.09.082}, interhash = {936c3ee82cafbcd7bdeaf7e4c85bd3ac}, intrahash = {7fc86079e8a0f960daf50b85ab21e59f}, issn = {03784371}, journal = {Physica A: Statistical Mechanics and its Applications}, keywords = {infrastructures, local-load, resilience, supply-chain cascades interdependent-networks directed-networks}, month = sep, posted-at = {2015-10-06 09:38:28}, priority = {2}, timestamp = {2019-09-24T18:00:53.000+0200}, title = {{Complex interdependent supply chain networks: Cascading failure and robustness}}, url = {http://dx.doi.org/10.1016/j.physa.2015.09.082}, year = 2015 }