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The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability

机译:最繁忙的道路:城市道路基础设施对供应链网络漏洞的影响

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Making a supply chain more resilient and making it more efficient are often diametrically opposed objectives. Managers have to make informed trade-offs when designing their supply chain networks. There are many methods available to quantify and optimise efficiency. Unfortunately the same cannot be said for vulnerability and resilience. We propose a method to quantify the impact that a supply chain's dependence on the underlying transport infrastructure has on its vulnerability. The dependence relationship is modelled using multilayered complex network theory. We develop two metrics relating to the unique collection of shortest path sets namely redundancy and overlap. To test the relationships between these metrics and supply chain vulnerability we simulate progressive random link disruption of the urban road network and assess the impact this has on Fully Connected, Single Hub and Double Hub network archetypes. The results show that redundancy and overlap of the collection of shortest paths are significantly related to supply chain resilience, however under a purely random disturbance regime they hold no predictive power. This paper builds a foundation for a new field of inquiry into supply chain vulnerability by presenting a flexible mathematical formulation of the multilayered network and defining and testing two novel metrics that could be incorporated into supply chain network design decisions.
机译:使供应链更具弹性并使其更有效率通常是截然相反的目标。管理人员在设计其供应链网络时必须做出明智的权衡。有许多方法可以量化和优化效率。不幸的是,脆弱性和弹性不能说相同。我们提出一种方法来量化供应链对基础运输基础设施的依赖对其脆弱性的影响。依赖关系是使用多层复杂网络理论建模的。我们开发了两个与最短路径集的唯一集合有关的度量,即冗余和重叠。为了测试这些指标与供应链脆弱性之间的关系,我们模拟了城市道路网络的渐进随机链路中断,并评估了其对全连接,单集线器和双集线器网络原型的影响。结果表明,最短路径集合的冗余和重叠与供应链的弹性显着相关,但是在纯随机扰动情况下,它们没有预测力。本文通过提出多层网络的灵活数学公式并定义和测试可以纳入供应链网络设计决策的两个新指标,为研究供应链脆弱性的新领域奠定了基础。

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