We present a technique for automatically acquiring operational knowledge on how to adapt
assembly systems to new production demands or recover from disruptions. Dealing with …

Dealing with disruptions affecting an assembly station is a complex process which requires
deep knowledge of the assembly process, the product being assembled and the …

We present a decision-support framework for speeding up the ramp-up of modular assembly
systems by learning from past experience. Bringing an assembly system to the expected …

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 …

This paper presents a self-learning technique for adapting modular automated assembly
systems. The technique consists of automatically analysing sensor data and acquiring …

This paper presents the design of a multi-agent framework that aids engineers in the
adaptation of modular production systems. The framework includes general …

Automated manufacturing machines in the discrete manufacturing domain frequently face
changes in requirements, such as volatile customer demands or changes in product …

Currently, European small and medium-sized enterprises (SMEs) are experiencing
increasing pressure to provide high quality goods with customised features while at the …

Existing production systems need to become more flexible and reconfigurable in order for
manufacturing companies to stay competitive in nowadays highly dynamic markets. To …

Due to current trends in manufacturing, existing machines need to become more flexible to
cope with a more dynamical production environment. To achieve this “flexibilization” …