Digital twins and artificial intelligence have shown promise for improving the robustness,
responsiveness, and productivity of industrial systems. However, traditional digital twin …

Modern manufacturing has to cope with dynamic and changing circumstances. Market
fluctuations, the effects caused by unpredictable material shortages, highly variable product …

This article presents a systematic literature review on the Plug and Produce concept in
advanced automated manufacturing control systems. Over recent decades, this concept has …

Optimal resource utilization and sustainability are gaining importance in the last decades,
raising awareness about the circular economy principles. The transition toward the circular …

The application of digital twins and artificial intelligence to manufacturing has shown
potential in improving system resilience, responsiveness, and productivity. Traditional digital …

Self-configuration in manufacturing is a key trend to generate adaptable production systems.
Different product requirements need different machine settings and continuous software …

The Industry 4.0 research initiative strives to facilitate globally interconnected, flexible, and
highly adaptable production systems. The use of skill-based control mechanisms such as …

In complex industrial settings, the collaboration of a heterogeneous network of robots is
essential for task execution. The Collaborative Industrial and Intelligent Robotics (CIIR) …

Manual assembly systems are featured with high flexibility but with the risk of lower quality,
higher cycle time, inefficient resource employment, and affecting sustainability goals in …

In this work, we optimize manufacturing configurations, ie, the set of necessary assets, using
the known capabilities and capacities of manufacturing equipment. In particular, the work …