Bottleneck identification in supply chain networks
Bottleneck identification in supply chain networks
复制标题
供应链网络中的瓶颈识别
DOI：
10.1080/00207543.2012.695878
复制
发表时间：
2013
影响因子：
9.2
通讯作者：
Stephan M. Wagner
中科院分区：
文献类型：
--
作者：
Kamil J. Mizgier;M. Jüttner;Stephan M. Wagner
在供应链风险管理中，必须确定由于焦点公司或整个供应链网络（瓶颈）的供应链中断而造成高额损失的公司。在这篇文章中，我们将供应链网络描述为企业及其供应商的复杂系统。我们重新审视了一些既定的网络措施，并将其预测与一种新的方法来检测瓶颈。在这种自下而上的方法中，企业层面上的生产中断与随机点过程建模，并通过网络的损失传播的机制被定义。个别公司的新兴损失贡献的总损失的焦点公司提供，然后，一个替代的风险调整措施。我们的方法和研究结果使更明智和透明的决策，以最佳的供应链网络设计。
In supply chain risk management, it is essential to identify firms that induce high losses due to supply chain disruptions in a focal firm or the supply chain network as a whole (bottlenecks). In this article, we describe supply chain networks as complex systems of firms and their suppliers. We revisit some established network measures and compare their predictions with a new methodology for detecting bottlenecks. In this bottom-up approach, production disruptions on the firm level are modelled with stochastic point processes, and a mechanism for the propagation of losses through the network is defined. The individual firms' emerging loss contributions to the total losses of the focal firm provide, then, an alternative risk-adjusted measure. Our methodology and findings enable more informed and transparent decisions to be made for optimal supply chain network design.