Production process monitoring using model-driven event processing networks

Economic realities make flexibility in production processes a necessity. Small batch production necessitates reuse of machines within different production processes. Monitoring in such production environments must adapt to process changes without impacting production machines and software. In this work we propose a novel method for production monitoring using event processing networks, separating machine and production processes, thus increasing flexibility and minimizing configuration efforts.