Fault diagnosis and self-healing for smart manufacturing: a review

J Aldrini, I Chihi, L Sidhom - Journal of Intelligent Manufacturing, 2024 - Springer
Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …

[PDF][PDF] Human-cyber-physical system for Industry 5.0: A review from a human-centric perspective

S Lou, Z Hu, Y Zhang, Y Feng, M Zhou… - IEEE Trans. Autom. Sci …, 2024 - researchgate.net
Industry 5.0 heralds a new wave of the industrial revolution, placing a spotlight on human-
centric intelligent manufacturing. At the core of Industry 5.0 lies the human-cyberphysical …

Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototy** services

J Leng, Z Chen, W Sha, S Ye, Q Liu, X Chen - Journal of Manufacturing …, 2022 - Elsevier
Rapid printed circuit boards (PCB) prototy** refers to the pilot production of PCB before
mass production for verifying the circuit design. The rapid PCB prototy** service providers …

Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels

Y Liu, J Fan, L Zhao, W Shen, C Zhang - Robotics and Computer-Integrated …, 2023 - Elsevier
In real-life manufacturing systems, production management is often affected by urgent
demands and unexpected interruptions, such as new job insertions, machine breakdowns …

Multi-agent reinforcement learning for real-time dynamic production scheduling in a robot assembly cell

D Johnson, G Chen, Y Lu - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
As industry rapidly shifts towards mass personalisation, the need for a decentralised multi-
agent system capable of dynamic flexible job shop scheduling (FJSP) is evident. Traditional …