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首页> 外文期刊>International journal of critical infrastructure >Vulnerability analysis of Manhattan's motor fuel supply chain network
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Vulnerability analysis of Manhattan's motor fuel supply chain network

机译：曼哈顿汽车燃料供应链网络的脆弱性分析

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摘要

We extend the concept of a critical infrastructure (CI) network's vulnerability and advance a methodological approach for identifying the vulnerability of a CI extended over a large expanse of space - Manhattan's motor fuel supply chain - in the face of extreme weather events. In the methodological approach, we search for the network's disrupted component(s) having the maximum impact on the spatially extensive network's operability if maintained or repaired. To do so, we developed a bi-stage mixed integer stochastic mathematical program to rank disrupted elements that are the best candidates for fortifying investments. Simulation experiments with the model reveal that its solution identifies a different set of vulnerable components than are identified through the most commonly employed approach. Model results also indicate that a CI network's vulnerability in the face of extreme weather events is highly responsive to network topology in time of disaster and the objective function defined by the modeller.
机译：我们扩展了关键基础设施（CI）网络的脆弱性的概念，并提出了一种识别CI的脆弱性的方法方法，该方法在极端天气事件的面对曼哈顿汽车燃料供应链中延伸的漏洞。在方法方法中，如果维护或修复，我们搜索网络中断的组件对空间广泛的网络可操作性的最大影响。为此，我们开发了一个双级混合整数随机数学数学计划，以侦测为强化投资的最佳候选人。模型的仿真实验表明，其解决方案识别出不同集合的易受攻击组件，而不是通过最常用的方法识别。模型结果还表明，在极端天气事件面前的CI网络的漏洞对灾难时的网络拓扑以及由莫德勒定义的目标函数的网络拓扑非常敏感。

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