Speaker
Description
Circular economy networks require not only physical recovery capabilities, but also timely information about inventories, repair status, remanufacturing progress, and expected availability. Reusable products or components may already exist somewhere in the network, or may become available after repair or remanufacturing, but these resources cannot support fulfilment decisions if they remain informationally invisible. This paper proposes a simulation-based approach for measuring the operational value of information sharing in cooperative circular production networks. A demonstrative European spare-part fulfilment network is implemented in AnyLogic, including customer regions, distributors, service centres, collection points, repair centres, and remanufacturing capacity. Three information-sharing scenarios are compared: local decision-making without shared information, network-wide inventory sharing, and combined inventory and due-date sharing. The evaluation framework measures service reliability, quantity fulfilment, new production avoidance, delay, recovery utilisation, cost efficiency, inventory performance, emissions, and recovery rate. The contribution is a diagnostic simulation concept for identifying information gaps and evaluating how digital coordination can improve circular network performance.