| Explainable reinforcement learning in production control of job shop manufacturing system A Kuhnle, MC May, L Schäfer, G Lanza International Journal of Production Research 60 (19), 5812-5834, 2022 | 59 | 2022 |
| Machine learning in manufacturing towards industry 4.0: From ‘for now’to ‘four-know’ T Chen, V Sampath, MC May, S Shan, OJ Jorg, JJ Aguilar Martín, ... Applied Sciences 13 (3), 1903, 2023 | 54 | 2023 |
| Opportunistic maintenance scheduling with deep reinforcement learning A Valet, T Altenmüller, B Waschneck, MC May, A Kuhnle, G Lanza Journal of Manufacturing Systems 64, 518-534, 2022 | 52 | 2022 |
| Decentralized multi-agent production control through economic model bidding for matrix production systems MC May, L Kiefer, A Kuhnle, N Stricker, G Lanza Procedia Cirp 96, 3-8, 2021 | 45 | 2021 |
| Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning M Wurster, M Michel, MC May, A Kuhnle, N Stricker, G Lanza Journal of intelligent manufacturing 33 (2), 575-591, 2022 | 42 | 2022 |
| Foresighted digital twin for situational agent selection in production control MC May, L Overbeck, M Wurster, A Kuhnle, G Lanza Procedia CIRP 99, 27-32, 2021 | 42 | 2021 |
| Pattern recognition in multivariate time series: Towards an automated event detection method for smart manufacturing systems V Kapp, MC May, G Lanza, T Wuest Journal of Manufacturing and Materials Processing 4 (3), 88, 2020 | 36 | 2020 |
| Product generation module: automated production planning for optimized workload and increased efficiency in matrix production systems MC May, S Schmidt, A Kuhnle, N Stricker, G Lanza Procedia CIRP 96, 45-50, 2021 | 35 | 2021 |
| Ontology-based production simulation with ontologysim MC May, L Kiefer, A Kuhnle, G Lanza Applied Sciences 12 (3), 1608, 2022 | 30 | 2022 |
| Applying natural language processing in manufacturing MC May, J Neidhöfer, T Körner, L Schäfer, G Lanza Procedia CIRP 115, 184-189, 2022 | 25 | 2022 |
| Reinforcement learning based production control of semi-automated manufacturing systems L Overbeck, A Hugues, MC May, A Kuhnle, G Lanza Procedia CIRP 103, 170-175, 2021 | 23 | 2021 |
| Development of a human-centered implementation strategy for industry 4.0 exemplified by digital shopfloor management M Kandler, MC May, J Kurtz, A Kuhnle, G Lanza Towards Sustainable Customization: Bridging Smart Products and Manufacturing …, 2022 | 18 | 2022 |
| IIoT System Canvas—From architecture patterns towards an IIoT development framework MC May, D Glatter, D Arnold, D Pfeffer, G Lanza Journal of Manufacturing Systems 72, 437-459, 2024 | 16 | 2024 |
| AI based geometric similarity search supporting component reuse in engineering design C Krahe, M Marinov, T Schmutz, Y Hermann, M Bonny, M May, G Lanza Procedia CIRP 109, 275-280, 2022 | 13 | 2022 |
| Queue length forecasting in complex manufacturing job shops MC May, A Albers, MD Fischer, F Mayerhofer, L Schäfer, G Lanza Forecasting 3 (2), 322-338, 2021 | 13 | 2021 |
| Reinforcement learning for sustainability enhancement of production lines A Loffredo, MC May, A Matta, G Lanza Journal of Intelligent Manufacturing 35 (8), 3775-3791, 2024 | 12 | 2024 |
| Data analytics for time constraint adherence prediction in a semiconductor manufacturing use-case MC May, S Maucher, A Holzer, A Kuhnle, G Lanza Procedia CIRP 100, 49-54, 2021 | 12 | 2021 |
| Automated model generation framework for material flow simulations of production systems M Carl May, C Nestroy, L Overbeck, G Lanza International Journal of Production Research 62 (1-2), 141-156, 2024 | 10 | 2024 |
| Reinforcement learning for energy-efficient control of parallel and identical machines A Loffredo, MC May, L Schäfer, A Matta, G Lanza CIRP Journal of Manufacturing Science and Technology 44, 91-103, 2023 | 10 | 2023 |
| Shopfloor management acceptance in global manufacturing M Kandler, L Dierolf, M Bender, L Schäfer, MC May, G Lanza Procedia CIRP 115, 190-195, 2022 | 10 | 2022 |
Gisela LanzaProf. Dr.-Ing., wbk Institute of Production Science, Karlsruhe Institute of Technology (KIT)kit.edu üzerinde doğrulanmış e-posta adresine sahip
