11 Publikationen
2024 | Dissertation | FH-PUB-ID: 4392 | 
Grumbach F. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt; 2024. doi:10.25673/115290
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Müller A, Grumbach F, Sabatelli M. Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling. In: IEEE, ed. 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2024:01-08. doi:10.1109/ETFA61755.2024.10711145
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5470 |
Fischer D, Hüsener HM, Grumbach F, Vollenkemper L, Müller A, Reusch P. Demystifying Reinforcement Learning in Production Scheduling via Explainable AI. arXiv. 2024. doi:10.48550/ARXIV.2408.09841
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5472 |
Döring L, Grumbach F, Reusch P. Optimizing Sales Forecasts through Automated Integration of Market Indicators. arXiv. 2024. doi:10.48550/ARXIV.2406.07564
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Grumbach F, Müller A, Vollenkemper L. Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning. In: Freitag M, Kinra A, Kotzab H, Megow N, eds. Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany. Lecture Notes in Logistics. Cham: Springer Nature Switzerland; 2024:223-234. doi:10.1007/978-3-031-56826-8_17
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4283 |
Müller A, Grumbach F, Kattenstroth F. Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production. IEEE Access. 2024;12:11388-11399. doi:10.1109/ACCESS.2024.3355269
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4394 |
Müller A, Grumbach F. Predicting processing times in high mix low volume job shops. In: Glistau E, Trojahn S, eds. 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Otto von Guericke University Library, Magdeburg, Germany; 2023. doi:10.25673/103491
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3766 |
Grumbach F, Badr NEA, Reusch P, Trojahn S. A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling. IEEE Access. 2023;11:68760-68775. doi:10.1109/ACCESS.2023.3292548
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper L, Grumbach F, Kohlhase M, Reusch P. Humanzentrierte Ablaufplanung von Montagelinien/Human-centered scheduling in assembly lines - Plug and play: Efficient algorithms minimize stress in flow shops. wt Werkstattstechnik online. 2023;113(04):158-163. doi:10.37544/1436-4980-2023-04-58
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2848 |
Grumbach F, Müller A, Reusch P, Trojahn S. Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning. Processes. 2023;11(4). doi:10.3390/pr11041267
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2295 |
Grumbach F, Müller A, Reusch P, Trojahn S. Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning. Journal of Intelligent Manufacturing. 2022. doi:10.1007/s10845-022-02069-x
HSBI-PUB
| DOI
| Download (ext.)
Suche
Publikationen filtern
Darstellung / Sortierung
Export / Einbettung
11 Publikationen
2024 | Dissertation | FH-PUB-ID: 4392 |
Grumbach F. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt; 2024. doi:10.25673/115290
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Müller A, Grumbach F, Sabatelli M. Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling. In: IEEE, ed. 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2024:01-08. doi:10.1109/ETFA61755.2024.10711145
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5470 |
Fischer D, Hüsener HM, Grumbach F, Vollenkemper L, Müller A, Reusch P. Demystifying Reinforcement Learning in Production Scheduling via Explainable AI. arXiv. 2024. doi:10.48550/ARXIV.2408.09841
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5472 |
Döring L, Grumbach F, Reusch P. Optimizing Sales Forecasts through Automated Integration of Market Indicators. arXiv. 2024. doi:10.48550/ARXIV.2406.07564
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Grumbach F, Müller A, Vollenkemper L. Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning. In: Freitag M, Kinra A, Kotzab H, Megow N, eds. Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany. Lecture Notes in Logistics. Cham: Springer Nature Switzerland; 2024:223-234. doi:10.1007/978-3-031-56826-8_17
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4283 |
Müller A, Grumbach F, Kattenstroth F. Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production. IEEE Access. 2024;12:11388-11399. doi:10.1109/ACCESS.2024.3355269
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4394 |
Müller A, Grumbach F. Predicting processing times in high mix low volume job shops. In: Glistau E, Trojahn S, eds. 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Otto von Guericke University Library, Magdeburg, Germany; 2023. doi:10.25673/103491
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3766 |
Grumbach F, Badr NEA, Reusch P, Trojahn S. A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling. IEEE Access. 2023;11:68760-68775. doi:10.1109/ACCESS.2023.3292548
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper L, Grumbach F, Kohlhase M, Reusch P. Humanzentrierte Ablaufplanung von Montagelinien/Human-centered scheduling in assembly lines - Plug and play: Efficient algorithms minimize stress in flow shops. wt Werkstattstechnik online. 2023;113(04):158-163. doi:10.37544/1436-4980-2023-04-58
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2848 |
Grumbach F, Müller A, Reusch P, Trojahn S. Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning. Processes. 2023;11(4). doi:10.3390/pr11041267
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2295 |
Grumbach F, Müller A, Reusch P, Trojahn S. Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning. Journal of Intelligent Manufacturing. 2022. doi:10.1007/s10845-022-02069-x
HSBI-PUB
| DOI
| Download (ext.)