| On the Use of Asset Administration Shell for Modeling and Deploying Production Scheduling Agents within a Multi-Agent System V Siatras, E Bakopoulos, P Mavrothalassitis, N Nikolakis, K Alexopoulos Applied Sciences 13 (17), 9540, 2023 | 11 | 2023 |
| Machine Learning Agents Augmented by Digital Twinning for Smart Production Scheduling K Alexopoulos, N Nikolakis, E Bakopoulos, V Siatras, P Mavrothalassitis IFAC-PapersOnLine 56 (2), 2963-2968, 2023 | 8 | 2023 |
| Digital-Twin-Enabled Framework for Training and Deploying AI Agents for Production Scheduling E Bakopoulos, V Siatras, P Mavrothalassitis, N Nikolakis, K Alexopoulos Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and …, 2024 | 5 | 2024 |
| Production Scheduling Based on a Multi-Agent System and Digital Twin: A Bicycle Industry Case V Siatras, E Bakopoulos, P Mavrothalassitis, N Nikolakis, K Alexopoulos Information 15 (6), 337, 2024 | 1 | 2024 |
| Bridging the Gap Between IDS and Industry 4.0-Lessons Learned and Recommendations for the Future K Alexopoulos, E Bakopoulos, F Larrinaga Barrenechea, S Castellvi, ... | 1 | 2024 |
| Deep Reinforcement Learning for Selection of Dispatch Rules for Scheduling of Production Systems K Alexopoulos, P Mavrothalassitis, E Bakopoulos, N Nikolakis, D Mourtzis Applied Sciences 15 (1), 232, 2024 | | 2024 |
| Human-Centric Proactive Quality Control in Industry5. 0: The Critical Role of Explainable AI P Catti, E Bakopoulos, A Stipankov, N Cardona, N Nikolakis, ... 2024 IEEE International Conference on Engineering, Technology, and …, 2024 | | 2024 |
| A Multi-intelligent Agent Solution in the Automotive Component–Manufacturing Industry L Usatorre, S Clavijo, P Lopez, E Imanol, F Cebrian, D Guillén, ... Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and …, 2024 | | 2024 |
| A Digital Twin and Data Spaces framework towards Resilient Manufacturing Value Chains E Bakopoulos, K Sipsas, N Nikolakis, K Alexopoulos IFAC-PapersOnLine 58 (19), 163-168, 2024 | | 2024 |
| A Deep Reinforcement Learning Approach for Production Scheduling with the Use of Dispatch Rules P Mavrothalassitis, E Bakopoulos, V Siatras, N Nikolakis, K Alexopoulos European Symposium on Artificial Intelligence in Manufacturing, 43-50, 2023 | | 2023 |
