Managing events to improve situation awareness and resilience in a supply chain

Abstract : 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.