Von Februar 2018 bis Juli 2023 Wissenschaftlicher Mitarbeiter am FBK.

L. Yi, P. Langlotz, M. Hussong, M. Glatt, F. J. P. Sousa, J. C. Aurich: An integrated energy management system using double deep Q-learning and energy storage equipment to reduce energy cost in manufacturing under real-time pricing condition: A case study of scale-model factory. CIRP Journal of Manufacturing Science and Technology 38 (2022): S. 844-860.

P. Langlotz, M. Klar, M. Glatt, J.C. Aurich: Automatisierte Wertstrommethode unter Nutzung von Reinforcement Learning. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 117/6 (2022): S. 395-399.

F. J. P. Sousa, R. Hall, A. Souza, P. Langlotz, M. Glatt, J. C. Aurich: Fusion of physical principles and data-driven based models: An Industry 4.0 perspective for improving the polishing process of stoneware tiles. Production Engineering-Research and Development (2020).

M. Glatt, P. Kölsch, N. Krenkel, P. Langlotz, C. Siedler, L. Yi, J. C. Aurich: Rahmenwerk zur Einordnung Digitaler Zwillinge in Produktionssystemen. ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb 115/6 (2020): S. 429-433.

P. Langlotz, M. Glatt, F. J. P. Sousa, J. C. Aurich: Modelle als Grundlage für den Digitalen Zwilling – Fusion von physikalischen und datengetriebenen Modellen. ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb 115/5 (2020): S. 340-343.

P. Langlotz, M. Klar, L. Yi, M. Hussong, F. Sousa, J.C. Aurich: Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems. Procedia CIRP 112 - Proceedings of the 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (2022): S. 549-554 DOI: 10.1016/j.procir.2022.09.098

M. Klar, P. Langlotz, J.C. Aurich: A Framework for Automated Multiobjective Factory Layout Planning using Reinforcement Learning. Procedia CIRP 112 - Proceedings of the 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (2022): S. 555-560 DOI:10.1016/j.procir.2022.09.099

P. Langlotz, C. Siedler, J. C. Aurich: Unification of lean production and Industry 4.0. Procedia CIRP 99 – Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (2020): S. 15-20.

P. Langlotz, J. C. Aurich: Causal and temporal relationships within the combination of Lean Production Systems and Industry 4.0. Procedia CIRP 96 – Proceedings of the 8th CIRP Global Web Conference on Flexible Mass Customisation (2020): S. 236-241.

C. Siedler, P. Langlotz, J.C. Aurich: Modeling and assessing the effects of digital technologies on KPIs in manufacturing systems. Procedia CIRP 93 - Proceedings of the 53rd CIRP Conference on Manufacturing Systems (2020): S. 682-687.

Langlotz, P.; Aurich, J.C. (2019): Systematical Combination of a Lean Production System and Industry 4.0 Development of a method library to assess interactions. In: Production at the leading edge of technology, S. 573–582.

C. Siedler, P. Langlotz, J.C. Aurich: Identification of interactions between digital technologies in manufacturing systems. Procedia CIRP 81 - Proceedings of the 52nd CIRP Conference on Manufacturing Systems (2019): S. 115–120.