@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{2602,
  author       = {Panneke, Niklas and Ehrmann, Andrea},
  issn         = {2073-4360},
  journal      = {Polymers},
  keywords     = {body armor, additive manufacturing, functional textiles, sensory textiles, shear-thickening fluid, reinforcement, stab protection, VPAM-KDIW, HOSDB},
  number       = {4},
  publisher    = {MDPI AG},
  title        = {{Stab-Resistant Polymers—Recent Developments in Materials and Structures}},
  doi          = {10.3390/polym15040983},
  volume       = {15},
  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},
}