This paper aims at improving supply chain resilience by applying a model- and event-driven architecture from the crisis management field: the AIC information system which Acquires, Interprets and Contextualizes events. It begins with a literature review on information systems able to process events in order to improve situational awareness within supply chains. It concludes that supply chain managers still lack a decision support system able to access new information in near real time. The paper describes the components of the AIC information system, and the implications for a supply chain use case. By testing the architecture on a pharmaceutical supply chain, we assess the accuracy, cost and speed of the detection of new risks. These works are made possible by the use of several data streams aggregated into a single decision-making platform. This supports the claim for a more connected supply chain. Our contributions make crisis management knowledge available to supply chain management and help improving resilient decision-making in a fast changing context.

本文旨在通过应用来自危机管理领域的模型和事件驱动架构来提高供应链弹性：AIC 信息系统，它获取、解释和上下文化事件。它首先对能够处理事件的信息系统进行文献综述，以提高供应链中的态势感知能力。它的结论是，供应链经理仍然缺乏能够近乎实时地访问新信息的决策支持系统。本文描述了 AIC 信息系统的组成部分，以及对供应链用例的影响。通过在医药供应链上测试架构，我们评估了新风险检测的准确性、成本和速度。这些工作是通过使用聚合到单个决策平台的多个数据流来实现的。这支持了供应链更加互联的主张。我们的贡献使危机管理知识可用于供应链管理，并有助于在快速变化的环境中提高弹性决策。