The project aims to develop a methodology for the resilient control of supply chains in times of global crisis such as the Covid19 crisis . These are crises where supply discontinuities are long in time and widespread, so that even an adaptation of activities and the transition to a degraded mode of industrial and service players cannot avoid serious public health and economic consequences. The challenge is to demonstrate how the "reconfigurability" of the supply chain can be a lever for action to achieve sufficient resilience of the industries and services (particularly health) fabric. The subject is important because no way to have reconfigurable systems without reconfigurable supply chains. Il is difficult because predictive tools and remedial cause solutions for rare events where feedback and statistical risk management techniques are no longer valid. Three research fields will be deployed: Artificial Intelligence, Discret Event Systems and Supply Chain Risk Management.
