11 Publikationen
2024 | Dissertation | FH-PUB-ID: 4392 | 
Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024, doi:10.25673/115290.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Müller, Arthur, et al. “Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling.” 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE, IEEE, 2024, pp. 01–08, doi:10.1109/ETFA61755.2024.10711145.
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2024 | Artikel | FH-PUB-ID: 5470 |
Fischer, Daniel, et al. “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI.” ArXiv, Cornell University, 2024, doi:10.48550/ARXIV.2408.09841.
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2024 | Artikel | FH-PUB-ID: 5472 |
Döring, Lina, et al. “Optimizing Sales Forecasts through Automated Integration of Market Indicators.” ArXiv, Cornell University, 2024, doi:10.48550/ARXIV.2406.07564.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Grumbach, Felix, et al. “Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning.” Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, edited by Michael Freitag et al., Springer Nature Switzerland, 2024, pp. 223–34, doi:10.1007/978-3-031-56826-8_17.
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2024 | Artikel | FH-PUB-ID: 4283 |
Müller, Arthur, et al. “Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production.” IEEE Access, vol. 12, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 11388–99, doi:10.1109/ACCESS.2024.3355269.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4394 |
Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High Mix Low Volume Job Shops.” 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, doi:10.25673/103491.
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2023 | Artikel | FH-PUB-ID: 3766 |
Grumbach, Felix, et al. “A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling.” IEEE Access, vol. 11, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 68760–75, doi:10.1109/ACCESS.2023.3292548.
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2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper, Lukas, et al. “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, VDI Fachmedien GmbH and Co. KG, 2023, pp. 158–63, doi:10.37544/1436-4980-2023-04-58.
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2023 | Artikel | FH-PUB-ID: 2848 |
Grumbach, Felix, et al. “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning.” Processes, vol. 11, no. 4, 1267, MDPI AG, 2023, doi:10.3390/pr11041267.
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2022 | Artikel | FH-PUB-ID: 2295 |
Grumbach, Felix, et al. “Robust-Stable Scheduling in Dynamic Flow Shops Based on Deep Reinforcement Learning.” Journal of Intelligent Manufacturing, Springer Science and Business Media LLC, 2022, doi:10.1007/s10845-022-02069-x.
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11 Publikationen
2024 | Dissertation | FH-PUB-ID: 4392 |
Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024, doi:10.25673/115290.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Müller, Arthur, et al. “Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling.” 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE, IEEE, 2024, pp. 01–08, doi:10.1109/ETFA61755.2024.10711145.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5470 |
Fischer, Daniel, et al. “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI.” ArXiv, Cornell University, 2024, doi:10.48550/ARXIV.2408.09841.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5472 |
Döring, Lina, et al. “Optimizing Sales Forecasts through Automated Integration of Market Indicators.” ArXiv, Cornell University, 2024, doi:10.48550/ARXIV.2406.07564.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Grumbach, Felix, et al. “Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning.” Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, edited by Michael Freitag et al., Springer Nature Switzerland, 2024, pp. 223–34, doi:10.1007/978-3-031-56826-8_17.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4283 |
Müller, Arthur, et al. “Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production.” IEEE Access, vol. 12, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 11388–99, doi: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.” 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, doi:10.25673/103491.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3766 |
Grumbach, Felix, et al. “A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling.” IEEE Access, vol. 11, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 68760–75, doi:10.1109/ACCESS.2023.3292548.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper, Lukas, et al. “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, VDI Fachmedien GmbH and Co. KG, 2023, pp. 158–63, doi:10.37544/1436-4980-2023-04-58.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2848 |
Grumbach, Felix, et al. “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning.” Processes, vol. 11, no. 4, 1267, MDPI AG, 2023, doi:10.3390/pr11041267.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2295 |
Grumbach, Felix, et al. “Robust-Stable Scheduling in Dynamic Flow Shops Based on Deep Reinforcement Learning.” Journal of Intelligent Manufacturing, Springer Science and Business Media LLC, 2022, doi:10.1007/s10845-022-02069-x.
HSBI-PUB
| DOI
| Download (ext.)