11 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
A. Müller, F. Grumbach, and M. Sabatelli, “Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling,” in 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Padova, Italy , 2024, pp. 01–08.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5470 | 
D. Fischer, H. M. Hüsener, F. Grumbach, L. Vollenkemper, A. Müller, and P. Reusch, “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI,” arXiv, 2024.
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2024 | Artikel | FH-PUB-ID: 5472 |
L. Döring, F. Grumbach, and P. Reusch, “Optimizing Sales Forecasts through Automated Integration of Market Indicators,” arXiv, 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4567
F. Grumbach, A. Müller, and L. Vollenkemper, “Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning,” in Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, Bremen , 2024, pp. 223–234.
HSBI-PUB
| DOI
2024 | Dissertation | FH-PUB-ID: 4392 |
F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024.
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2024 | Artikel | FH-PUB-ID: 4283 |
A. Müller, F. Grumbach, and F. Kattenstroth, “Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production,” IEEE Access, vol. 12, pp. 11388–11399, 2024.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4394
A. Müller and F. Grumbach, “Predicting processing times in high mix low volume job shops,” in 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Magdeburg, 2023.
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2023 | Artikel | FH-PUB-ID: 3766 |
F. Grumbach, N. E. A. Badr, P. Reusch, and S. Trojahn, “A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling,” IEEE Access, vol. 11, pp. 68760–68775, 2023.
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2023 | Artikel | FH-PUB-ID: 2848 |
F. Grumbach, A. Müller, P. Reusch, and S. Trojahn, “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning,” Processes, vol. 11, no. 4, 2023.
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2023 | Artikel | FH-PUB-ID: 2849 |
L. Vollenkemper, F. Grumbach, M. Kohlhase, and P. Reusch, “Humanzentrierte Ablaufplanung von Montagelinien/Human-centered scheduling in assembly lines - Plug and play: Efficient algorithms minimize stress in flow shops,” wt Werkstattstechnik online, vol. 113, no. 04, pp. 158–163, 2023.
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2022 | Artikel | FH-PUB-ID: 2295 |
F. Grumbach, A. Müller, P. Reusch, and S. Trojahn, “Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning,” Journal of Intelligent Manufacturing, 2022.
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11 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
A. Müller, F. Grumbach, and M. Sabatelli, “Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling,” in 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Padova, Italy , 2024, pp. 01–08.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5470 |
D. Fischer, H. M. Hüsener, F. Grumbach, L. Vollenkemper, A. Müller, and P. Reusch, “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI,” arXiv, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5472 |
L. Döring, F. Grumbach, and P. Reusch, “Optimizing Sales Forecasts through Automated Integration of Market Indicators,” arXiv, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
F. Grumbach, A. Müller, and L. Vollenkemper, “Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning,” in Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, Bremen , 2024, pp. 223–234.
HSBI-PUB
| DOI
2024 | Dissertation | FH-PUB-ID: 4392 |
F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 4283 |
A. Müller, F. Grumbach, and F. Kattenstroth, “Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production,” IEEE Access, vol. 12, pp. 11388–11399, 2024.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4394
A. Müller and F. Grumbach, “Predicting processing times in high mix low volume job shops,” in 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Magdeburg, 2023.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3766 |
F. Grumbach, N. E. A. Badr, P. Reusch, and S. Trojahn, “A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling,” IEEE Access, vol. 11, pp. 68760–68775, 2023.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2848 |
F. Grumbach, A. Müller, P. Reusch, and S. Trojahn, “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning,” Processes, vol. 11, no. 4, 2023.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2849 |
L. Vollenkemper, F. Grumbach, M. Kohlhase, and P. Reusch, “Humanzentrierte Ablaufplanung von Montagelinien/Human-centered scheduling in assembly lines - Plug and play: Efficient algorithms minimize stress in flow shops,” wt Werkstattstechnik online, vol. 113, no. 04, pp. 158–163, 2023.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2295 |
F. Grumbach, A. Müller, P. Reusch, and S. Trojahn, “Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning,” Journal of Intelligent Manufacturing, 2022.
HSBI-PUB
| DOI
| Download (ext.)