@inproceedings{5467,
  author       = {Müller, Arthur and Grumbach, Felix and Sabatelli, Matthia},
  booktitle    = {2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)},
  location     = {Padova, Italy },
  pages        = {01--08},
  publisher    = {IEEE},
  title        = {{Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling}},
  doi          = {10.1109/ETFA61755.2024.10711145},
  year         = {2024},
}

@article{5470,
  author       = {Fischer, Daniel and Hüsener, Hannah M. and Grumbach, Felix and Vollenkemper, Lukas and Müller, Arthur and Reusch, Pascal},
  journal      = {arXiv},
  publisher    = {Cornell University},
  title        = {{Demystifying Reinforcement Learning in Production Scheduling via Explainable AI}},
  doi          = {10.48550/ARXIV.2408.09841},
  year         = {2024},
}

@article{5472,
  author       = {Döring, Lina and Grumbach, Felix and Reusch, Pascal},
  journal      = {arXiv},
  publisher    = {Cornell University},
  title        = {{Optimizing Sales Forecasts through Automated Integration of Market Indicators}},
  doi          = {10.48550/ARXIV.2406.07564},
  year         = {2024},
}

@inproceedings{4567,
  author       = {Grumbach, Felix and Müller, Arthur and Vollenkemper, Lukas},
  booktitle    = {Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany},
  editor       = {Freitag, Michael and Kinra, Aseem and Kotzab, Herbert and Megow, Nicole},
  isbn         = {978-3-031-56825-1},
  issn         = {2194-8925},
  location     = {Bremen },
  pages        = {223--234},
  publisher    = {Springer Nature Switzerland},
  title        = {{Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning}},
  doi          = {10.1007/978-3-031-56826-8_17},
  year         = {2024},
}

@phdthesis{4392,
  author       = {Grumbach, Felix},
  keywords     = {Produktionsplanung und -steuerung, Operations Research, Machine Learning, Reinforcement Learning},
  publisher    = {Universitäts- und Landesbibliothek Sachsen-Anhalt},
  title        = {{Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]}},
  doi          = {10.25673/115290},
  year         = {2024},
}

@article{4283,
  author       = {Müller, Arthur and Grumbach, Felix and Kattenstroth, Fiona},
  issn         = {2169-3536},
  journal      = {IEEE Access},
  pages        = {11388--11399},
  publisher    = {Institute of Electrical and Electronics Engineers (IEEE)},
  title        = {{Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production}},
  doi          = {10.1109/ACCESS.2024.3355269},
  volume       = {12},
  year         = {2024},
}

@inproceedings{4394,
  author       = {Müller, Anna and Grumbach, Felix},
  booktitle    = {16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management},
  editor       = {Glistau, Elke and Trojahn, Sebastian},
  keywords     = {Machine Learning, Production scheduling, time prediction},
  location     = {Magdeburg},
  publisher    = {Otto von Guericke University Library, Magdeburg, Germany},
  title        = {{Predicting processing times in high mix low volume job shops}},
  doi          = {10.25673/103491},
  year         = {2023},
}

@article{3766,
  author       = {Grumbach, Felix and Badr, Nour Eldin Alaa and Reusch, Pascal and Trojahn, Sebastian},
  issn         = {2169-3536},
  journal      = {IEEE Access},
  pages        = {68760--68775},
  publisher    = {Institute of Electrical and Electronics Engineers (IEEE)},
  title        = {{A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling}},
  doi          = {10.1109/ACCESS.2023.3292548},
  volume       = {11},
  year         = {2023},
}

@article{2848,
  author       = {Grumbach, Felix and Müller, Anna and Reusch, Pascal and Trojahn, Sebastian},
  issn         = {2227-9717},
  journal      = {Processes},
  number       = {4},
  publisher    = {MDPI AG},
  title        = {{Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning}},
  doi          = {10.3390/pr11041267},
  volume       = {11},
  year         = {2023},
}

@article{2849,
  author       = {Vollenkemper, Lukas and Grumbach, Felix and Kohlhase, Martin and Reusch, Pascal},
  issn         = {1436-4980},
  journal      = {wt Werkstattstechnik online},
  number       = {04},
  pages        = {158--163},
  publisher    = {VDI Fachmedien GmbH and Co. KG},
  title        = {{Humanzentrierte Ablaufplanung von Montagelinien/Human-centered scheduling in assembly lines - Plug and play: Efficient algorithms minimize stress in flow shops}},
  doi          = {10.37544/1436-4980-2023-04-58},
  volume       = {113},
  year         = {2023},
}

@article{2295,
  author       = {Grumbach, Felix and Müller, Anna and Reusch, Pascal and Trojahn, Sebastian},
  issn         = {1572-8145},
  journal      = {Journal of Intelligent Manufacturing},
  keywords     = {Dynamic flow shop, Predictive scheduling, Proactive scheduling, Robust scheduling, Reinforcement learning, Simheuristics},
  publisher    = {Springer Science and Business Media LLC},
  title        = {{Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning}},
  doi          = {10.1007/s10845-022-02069-x},
  year         = {2022},
}