A Knowledge-Based Intralogistic System for a Circular Factory

Abstract

In the context of circular production, factories must cope with uncertainty arising from the reuse of components with varying availability, quality, and timing. This creates new requirements for intralogistic systems that are both highly flexible and able to adapt to local shifts in transport demand or unforeseen events. We present a novel modular intralogistic system de- signed to meet these challenges, where autonomous mobile robots can mount self-contained modules to provide on-demand reconfiguration of material-handling capabilities. To ensure semantic interoperability within the circular factory, we further introduce the accompanying ontologies that formalize key concepts and support knowledge-driven decision-making.