PUBLIKATIONSSERVER

Felix Grumbach

https://orcid.org/0000-0001-6348-7897

11 Publikationen

Alle markieren

[11]
2024 | Dissertation | FH-PUB-ID: 4392 | OA
Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]
F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und Landesbibliothek Sachsen-Anhalt, Bernburg, 2024.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[10]
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling
A. Müller, F. Grumbach, M. Sabatelli, in: IEEE (Ed.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2024, pp. 01–08.
HSBI-PUB | DOI
 
[9]
2024 | Artikel | FH-PUB-ID: 5470 | OA
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI
D. Fischer, H.M. Hüsener, F. Grumbach, L. Vollenkemper, A. Müller, P. Reusch, ArXiv (2024).
HSBI-PUB | DOI | Download (ext.)
 
[8]
2024 | Artikel | FH-PUB-ID: 5472 | OA
Optimizing Sales Forecasts through Automated Integration of Market Indicators
L. Döring, F. Grumbach, P. Reusch, ArXiv (2024).
HSBI-PUB | DOI | Download (ext.)
 
[7]
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning
F. Grumbach, A. Müller, L. Vollenkemper, in: M. Freitag, A. Kinra, H. Kotzab, N. Megow (Eds.), Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, Springer Nature Switzerland, Cham, 2024, pp. 223–234.
HSBI-PUB | DOI
 
[6]
2024 | Artikel | FH-PUB-ID: 4283 | OA
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 (2024) 11388–11399.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[5]
2023 | Konferenzbeitrag | FH-PUB-ID: 4394 | OA
Predicting processing times in high mix low volume job shops
A. Müller, F. Grumbach, in: E. Glistau, S. Trojahn (Eds.), 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[4]
2023 | Artikel | FH-PUB-ID: 3766 | OA
A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling
F. Grumbach, N.E.A. Badr, P. Reusch, S. Trojahn, IEEE Access 11 (2023) 68760–68775.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[3]
2023 | Artikel | FH-PUB-ID: 2849 | OA
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 (2023) 158–163.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2023 | Artikel | FH-PUB-ID: 2848 | OA
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 (2023).
HSBI-PUB | DOI | Download (ext.)
 
[1]
2022 | Artikel | FH-PUB-ID: 2295 | OA
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning
F. Grumbach, A. Müller, P. Reusch, S. Trojahn, Journal of Intelligent Manufacturing (2022).
HSBI-PUB | DOI | Download (ext.)
 
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11 Publikationen

Alle markieren

[11]
2024 | Dissertation | FH-PUB-ID: 4392 | OA
Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]
F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und Landesbibliothek Sachsen-Anhalt, Bernburg, 2024.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[10]
2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling
A. Müller, F. Grumbach, M. Sabatelli, in: IEEE (Ed.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2024, pp. 01–08.
HSBI-PUB | DOI
 
[9]
2024 | Artikel | FH-PUB-ID: 5470 | OA
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI
D. Fischer, H.M. Hüsener, F. Grumbach, L. Vollenkemper, A. Müller, P. Reusch, ArXiv (2024).
HSBI-PUB | DOI | Download (ext.)
 
[8]
2024 | Artikel | FH-PUB-ID: 5472 | OA
Optimizing Sales Forecasts through Automated Integration of Market Indicators
L. Döring, F. Grumbach, P. Reusch, ArXiv (2024).
HSBI-PUB | DOI | Download (ext.)
 
[7]
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning
F. Grumbach, A. Müller, L. Vollenkemper, in: M. Freitag, A. Kinra, H. Kotzab, N. Megow (Eds.), Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, Springer Nature Switzerland, Cham, 2024, pp. 223–234.
HSBI-PUB | DOI
 
[6]
2024 | Artikel | FH-PUB-ID: 4283 | OA
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 (2024) 11388–11399.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[5]
2023 | Konferenzbeitrag | FH-PUB-ID: 4394 | OA
Predicting processing times in high mix low volume job shops
A. Müller, F. Grumbach, in: E. Glistau, S. Trojahn (Eds.), 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[4]
2023 | Artikel | FH-PUB-ID: 3766 | OA
A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling
F. Grumbach, N.E.A. Badr, P. Reusch, S. Trojahn, IEEE Access 11 (2023) 68760–68775.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[3]
2023 | Artikel | FH-PUB-ID: 2849 | OA
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 (2023) 158–163.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2023 | Artikel | FH-PUB-ID: 2848 | OA
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 (2023).
HSBI-PUB | DOI | Download (ext.)
 
[1]
2022 | Artikel | FH-PUB-ID: 2295 | OA
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning
F. Grumbach, A. Müller, P. Reusch, S. Trojahn, Journal of Intelligent Manufacturing (2022).
HSBI-PUB | DOI | Download (ext.)
 
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