Quantifying supply chain resilience with application to disinformation-driven disruptions
研究了虚假信息引发的需求突变对供应链网络性能的影响，提出了建模框架和最优适应策略，发现需求增长幅度是关键因素，超出产能会严重降低订单满足率。
Supply chain security faces significant risks from abrupt changes in demand, particularly those induced by disinformation. The widespread influence of social media and online news amplifies ambiguity and unpredictability, leading to delays, disruptions, and security breaches, impacting consumption patterns across critical supply chains and compromising network responsiveness, and creating vulnerabilities for adversaries. This paper explores the impact of alterations on individual demand behavior and provides a framework for modeling the resulting demand variations within a network. For different demand patterns, we evaluate their effects over the performance of a supply chain network and determine optimal adaptations strategies to minimise such effects. Results highlight that sufficient capacity and swift adaptation enhance performance, fulfilling more orders within a fixed time during increased demand. However, exceeding the supply chain's capacity results in significant reductions in demand satisfaction levels. The magnitude of total demand growth emerges as a critical factor, outweighing other demand behavior characteristics. The findings underscore the need for vigilance against disinformation in supply chains, particularly when demand surpasses capacity.