Disruption Risk Mitigation in Supply Chains: The Risk Exposure Index Revisited
提出一种新方法，将中断风险的概率评估整合到风险暴露指数中，通过分析最坏情况下的条件风险价值来度量供应链韧性，并利用圆锥规划确定最优战略库存策略，帮助管理者聚焦关键供应商。
In recent years, supply chains are more prone to disruptions. The impact on performance depends on the system's ability to discover and then recover after the disruption has occurred. In this paper, we proposed a new method to integrate probabilistic assessment of disruption risks into the Risk Exposure Index (REI) approach proposed previously by Simchi-Levi et al. and measure supply chain resiliency by analyzing the worst-case CVaR (WCVaR) of total lost sales under disruptions. We show that the optimal strategic inventory positioning strategy in this model can be fully characterized by a conic program. The optimal primal and dual solutions to the conic program can be used to shed light on comparative statics in the supply chain risk mitigation problem. This information can help supply chain risk managers focus their mitigation efforts on critical suppliers and/or installations that will have greater impact on the performance of the supply chain when disrupted.