| Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning F Grumbach, A Müller, P Reusch, S Trojahn Journal of Intelligent Manufacturing 35 (2), 667-686, 2024 | 21 | 2024 |
| A memetic algorithm with reinforcement learning for sociotechnical production scheduling F Grumbach, NEA Badr, P Reusch, S Trojahn IEEE Access 11, 68760-68775, 2023 | 10 | 2023 |
| Reinforcement learning for two-stage permutation flow shop scheduling—a real-world application in household appliance production A Müller, F Grumbach, F Kattenstroth IEEE access 12, 11388-11399, 2024 | 8 | 2024 |
| Robustness prediction in dynamic production processes—a new surrogate measure based on regression machine learning F Grumbach, A Müller, P Reusch, S Trojahn Processes 11 (4), 1267, 2023 | 4 | 2023 |
| Humanzentrierte ablaufplanung von montagelinien/human-centered scheduling in assembly lines-plug and play: Efficient algorithms minimize stress in flow shops L Vollenkemper, F Grumbach, M Kohlhase, P Reusch wt Werkstattstechnik online 113 (04), 2023 | 4 | 2023 |
| Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling A Müller, F Grumbach, M Sabatelli 2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024 | 3 | 2024 |
| Demystifying Reinforcement Learning in Production Scheduling via Explainable AI D Fischer, HM Hüsener, F Grumbach, L Vollenkemper, A Müller, ... arXiv preprint arXiv:2408.09841, 2024 | 2 | 2024 |
| Robust human-centered assembly line scheduling with reinforcement learning F Grumbach, A Müller, L Vollenkemper International Conference on Dynamics in Logistics, 223-234, 2024 | 1 | 2024 |
| Predicting processing times in high mix low volume job shops A Müller, F Grumbach Otto von Guericke University Library, Magdeburg, Germany, 2023 | 1 | 2023 |
| Data-driven generation of digital twin models for predictive-reactive job shop scheduling F Grumbach, P Reusch View in Article, 0 | 1 | |
| Optimizing Sales Forecasts through Automated Integration of Market Indicators L Döring, F Grumbach, P Reusch arXiv preprint arXiv:2406.07564, 2024 | | 2024 |
| Optimizing Sales Forecasts through Automated Integration of Market Indicators F Grumbach, P Reusch arXiv. org, 2024 | | 2024 |
| Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation] FJ Grumbach | | 2024 |
| Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning. Processes 2023, 11, 1267 F Grumbach, A Müller, P Reusch, S Trojahn Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des …, 2024 | | 2024 |
| „Humanzentrierte Ablaufplanung von Montagelinien L Vollenkemper, F Grumbach, M Kohlhase, P Reusch Human-centered scheduling, 2023 | | 2023 |
| IFORS 2021 Virtual HD-03 P Levy, T Chernonog | | |
