弹性(材料科学)
供应链
稳健性(进化)
供应链网络
利润(经济学)
计算机科学
供应链风险管理
时间范围
供应链管理
净现值
服务管理
业务
数学优化
风险分析(工程)
运筹学
微观经济学
经济
数学
营销
生产(经济)
物理
化学
基因
热力学
生物化学
作者
Golnar Behzadi,Michael O’Sullivan,Tava Lennon Olsen
标识
DOI:10.1016/j.ejor.2020.04.040
摘要
Abstract Resilience, defined as the ability to recover quickly and effectively from a disruption, is critically important for supply chains. Yet, it has not been quantified as frequently as supply chain robustness. In this paper we review the existing metrics for supply chain resilience and introduce a new metric, titled the net present value of the loss of profit (NPV-LP). We test these metrics on a small supply chain problem consisting of one supply and one demand node for a perishable good over a multi-period horizon with a possible port shut-down. We use a stochastic programming formulation of the problem. We show how the different metrics cause different investment decisions for the supply chain, and hence why it is important to carefully pick the correct metric when modeling supply chain resilience.
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