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首页> 外文期刊>Systems Journal, IEEE >Measuring the Resilience of Supply Chain Systems Using a Survival Model
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Measuring the Resilience of Supply Chain Systems Using a Survival Model

机译:使用生存模型衡量供应链系统的弹性

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Disruptions at any stage of a supply chain system can cause mammoth operational and financial losses to a firm. When there is a disruption with a supply chain system, it is highly desired that the system quickly recover. The ability of recovery is, in short, called resilience. This paper proposes a new measure of the resilience of a supply chain system based on the concept of survival and, subsequently, a survival model [Cox proportional hazard (Cox-PH) model]. The survival model represents a time interval or period from the time the system failed to function to the time the system gets back with its function (i.e., recovery). The input to the model is, thus, a failure event; the output from the model is the recovery time. This model has been implemented. There is a case study to illustrate how the model is used to give a quantitative measurement of resilience, in terms of recovery time.
机译:供应链系统任何阶段的中断都会给企业带来巨大的运营和财务损失。当供应链系统出现故障时,非常需要系统快速恢复。简而言之,恢复能力称为弹性。本文提出了一种基于生存概念以及随后的生存模型[Cox比例风险(Cox-PH)模型]的供应链系统弹性的新度量。生存模型表示从系统无法运行到系统恢复其功能(即恢复)的时间间隔或周期。因此,模型的输入是失败事件;该模型的输出是恢复时间。此模型已实现。有一个案例研究说明了如何使用该模型对恢复时间进行定量评估。

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