Automated Experience-Based Learning for Plug and Produce Assembly Systems

Abstract

This paper presents a self-learning technique for modular automated assembly systems. The technique consists of automatically acquiring experience on the changes made on an assembly system to cope with new production requirements or to recover from disruptions. Experience is generalised into operational knowledge that is used to aid operators in future adaptation processes. The experience model and the self-learning technique reflect the modular structure of the assembly machine and are particularly suitable for plug and produce systems, which are designed to offer high levels of self-organisation.