An architecture for self-managing evolvable assembly systems

• Published in: 2009 IEEE International Conference on Systems, Man and Cybernetics pp. 2707 - 2712
• Main Authors: Frei, R., Ferreira, B., Di Marzo Serugendo, G., Barata, J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2009
• Subjects: Assembly systems; Delay; Food industry; Manufacturing automation; Manufacturing industries; Production systems; Robotic assembly; Robotics and automation; Service robots; Vehicle dynamics
• ISBN: 9781424427932; 1424427932
• ISSN: 1062-922X; 2577-1655
• DOI: 10.1109/ICSMC.2009.5346137

Agile manufacturing requires high responsiveness at all levels of a company, but is especially challenging on the shop-floor level. Evolvable Assembly Systems (EAS) are a solution: agentified modules can be seamlessly integrated into existing systems, or removed at any instant. EAS offer a more flexible solution to automation production, but many system design and integration tasks are still done manually. Our goal is to make EAS increasingly self-managing: 1) to easily and quickly produce a new or re-configured assembly system each time a new product order arrives or each time a failure or weakness arises in the current assembly system and 2) to maintain production also under degraded conditions. This article describes an architecture for self-managing evolvable assembly systems. It involves on-the-fly self-assembly of robotic modules, dynamic coordination of tasks and self-adaptation to production conditions, mainly self-healing and self-optimisation. The architecture exploits self-description of modules, monitored modules behaviour and dynamic policies.