11 Publikationen
2024 | Dissertation | FH-PUB-ID: 4392 | 
Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. https://doi.org/10.25673/115290.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Müller, Arthur, Felix Grumbach, and Matthia 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), edited by IEEE, 01–08. IEEE, 2024. https://doi.org/10.1109/ETFA61755.2024.10711145.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5470 |
Fischer, Daniel, Hannah M. Hüsener, Felix Grumbach, Lukas Vollenkemper, Arthur Müller, and Pascal Reusch. “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI.” ArXiv, 2024. https://doi.org/10.48550/ARXIV.2408.09841.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5472 |
Döring, Lina, Felix Grumbach, and Pascal Reusch. “Optimizing Sales Forecasts through Automated Integration of Market Indicators.” ArXiv, 2024. https://doi.org/10.48550/ARXIV.2406.07564.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Grumbach, Felix, Arthur Müller, and Lukas Vollenkemper. “Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning.” In Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, edited by Michael Freitag, Aseem Kinra, Herbert Kotzab, and Nicole Megow, 223–34. Lecture Notes in Logistics. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56826-8_17.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4283 |
Müller, Arthur, Felix Grumbach, and Fiona Kattenstroth. “Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production.” IEEE Access 12 (2024): 11388–99. https://doi.org/10.1109/ACCESS.2024.3355269.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4394 |
Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High Mix Low Volume Job Shops.” In 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Elke Glistau and Sebastian Trojahn. Otto von Guericke University Library, Magdeburg, Germany, 2023. https://doi.org/10.25673/103491.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3766 |
Grumbach, Felix, Nour Eldin Alaa Badr, Pascal Reusch, and Sebastian Trojahn. “A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling.” IEEE Access 11 (2023): 68760–75. https://doi.org/10.1109/ACCESS.2023.3292548.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper, Lukas, Felix Grumbach, Martin Kohlhase, and Pascal Reusch. “Humanzentrierte Ablaufplanung von Montagelinien/Human-Centered Scheduling in Assembly Lines - Plug and Play: Efficient Algorithms Minimize Stress in Flow Shops.” Wt Werkstattstechnik Online 113, no. 04 (2023): 158–63. https://doi.org/10.37544/1436-4980-2023-04-58.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2848 |
Grumbach, Felix, Anna Müller, Pascal Reusch, and Sebastian Trojahn. “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning.” Processes 11, no. 4 (2023). https://doi.org/10.3390/pr11041267.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2295 |
Grumbach, Felix, Anna Müller, Pascal Reusch, and Sebastian Trojahn. “Robust-Stable Scheduling in Dynamic Flow Shops Based on Deep Reinforcement Learning.” Journal of Intelligent Manufacturing, 2022. https://doi.org/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, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. https://doi.org/10.25673/115290.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Müller, Arthur, Felix Grumbach, and Matthia 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), edited by IEEE, 01–08. IEEE, 2024. https://doi.org/10.1109/ETFA61755.2024.10711145.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5470 |
Fischer, Daniel, Hannah M. Hüsener, Felix Grumbach, Lukas Vollenkemper, Arthur Müller, and Pascal Reusch. “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI.” ArXiv, 2024. https://doi.org/10.48550/ARXIV.2408.09841.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5472 |
Döring, Lina, Felix Grumbach, and Pascal Reusch. “Optimizing Sales Forecasts through Automated Integration of Market Indicators.” ArXiv, 2024. https://doi.org/10.48550/ARXIV.2406.07564.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Grumbach, Felix, Arthur Müller, and Lukas Vollenkemper. “Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning.” In Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, edited by Michael Freitag, Aseem Kinra, Herbert Kotzab, and Nicole Megow, 223–34. Lecture Notes in Logistics. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56826-8_17.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4283 |
Müller, Arthur, Felix Grumbach, and Fiona Kattenstroth. “Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production.” IEEE Access 12 (2024): 11388–99. https://doi.org/10.1109/ACCESS.2024.3355269.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4394 |
Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High Mix Low Volume Job Shops.” In 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Elke Glistau and Sebastian Trojahn. Otto von Guericke University Library, Magdeburg, Germany, 2023. https://doi.org/10.25673/103491.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3766 |
Grumbach, Felix, Nour Eldin Alaa Badr, Pascal Reusch, and Sebastian Trojahn. “A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling.” IEEE Access 11 (2023): 68760–75. https://doi.org/10.1109/ACCESS.2023.3292548.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper, Lukas, Felix Grumbach, Martin Kohlhase, and Pascal Reusch. “Humanzentrierte Ablaufplanung von Montagelinien/Human-Centered Scheduling in Assembly Lines - Plug and Play: Efficient Algorithms Minimize Stress in Flow Shops.” Wt Werkstattstechnik Online 113, no. 04 (2023): 158–63. https://doi.org/10.37544/1436-4980-2023-04-58.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2848 |
Grumbach, Felix, Anna Müller, Pascal Reusch, and Sebastian Trojahn. “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning.” Processes 11, no. 4 (2023). https://doi.org/10.3390/pr11041267.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2295 |
Grumbach, Felix, Anna Müller, Pascal Reusch, and Sebastian Trojahn. “Robust-Stable Scheduling in Dynamic Flow Shops Based on Deep Reinforcement Learning.” Journal of Intelligent Manufacturing, 2022. https://doi.org/10.1007/s10845-022-02069-x.
HSBI-PUB
| DOI
| Download (ext.)