• seit Oktober 2023 Oberingenieur des Teams Produktionssysteme
• seit September 2020 Wissenschaftlicher Mitarbeiter am FBK
• Forschungsschwerpunkt: Digitale Technologien für Produktionssysteme
   

J. Mertes, C. Schellenberger, L. Yi, M. Schmitz, M. Glatt, M. Klar, B. Ravani, H.D. Schotten, J.C. Aurich: Experimental evaluation of 5G performance based on a digital twin of a machine tool. CIRP Journal of Manufacturing Science and Technology 55 (2024): S. 141-152. 10.1016/j.cirpj.2024.09.012

P. Schworm, X. Wu, M. Klar, M. Glatt, J.C. Aurich: Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing. Journal of Manufacturing Systems 72 (2024): S. 142-153. 10.1016/j.jmsy.2023.11.015

M. Klar, P. Schworm, X. Wu, P. Simon, M. Glatt, B. Ravani, J.C. Aurich: Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning. Journal of Manufacturing Systems 74 (2024): S. 487-511. 10.1016/j.jmsy.2024.04.007

P. Schworm, X. Wu, M. Klar, J.C. Aurich: Multi-objective rescheduling of job shop scheduling problems in manufacturing using Quantum Annealing. Manufacturing Letters 42 (2024): S. 5-10. 10.1016/j.mfglet.2024.09.066

M. Klar, P. Ruediger, M. Schuermann, G.T. Gören, M. Glatt, B. Ravani, J.C. Aurich: Explainable generative design in manufacturing for reinforcement learning based factory layout planning. Journal of Manufacturing Systems 72 (2024): S.74-92. 10.1016/j.jmsy.2023.11.012

P. Ruediger-Flore, M. Klar, M. Hussong, J. Mertes, L. Yi, M. Glatt, P. Kölsch, J. C. Aurich: Neural Radiance Fields in der Fabrikplanung - Untersuchung von Neural Radiance Fields zur Modellrekonstruktion in der Fabrikplanung. WT Werkstattstechnik  113/6 (2023) S.219-223 10.37544/1436-4980-2023-06-11

M. Klar, M. Glatt, J.C. Aurich: Performance comparison of reinforcement learning and metaheuristics for factory layout planning. CIRP Journal of Manufacturing Science and Technology 45 (2023): S. 10-25 10.1016/j.cirpj.2023.05.008 

P. Schworm, X. Wu, M. Klar, J. Gayer, M. Glatt, J.C. Aurich: Resilience optimization in manufacturing systems using Quantum Annealing. Manufacturing Letters 36 (2023): S. 13–17.

L. Yi, J. Mertes, M. Klar, S. Ghansiyal, C. Fei, M. Glatt, J.C. Aurich:A new gradient infill design method for material extrusion using density-based topology optimization and G-code extension. Manufacturing Letters 37 (2023): S.21-25. 10.1016/j.mfglet.2023.06.003

M. Klar, P. Schworm, X. Wu, M. Glatt, J.C. Aurich: Quantum Annealing based factory layout planning. Journal of Manufacturing Letters 32 (2022): S. 1-4.

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.

P. M. Simon, D. Müller, M. Klar, K. Gutzeit, H. Teich, R. Eisseler, P. Kölsch, B. Kirsch, M. Glatt, H.-C. Möhring, J. C. Aurich: Transfer Learning in der Zerspanung: Grundlage für Prozessverbesserungen und innovative Geschäftsmodelle. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 117/1-2 (2022): S. 79-83.

P. Schworm, M. Klar, M. Glatt, J.C. Aurich: Konzept zur Lösung von industriellen Reihenfolgeplanungsproblemen - Mittels Quanten-Annealing im Kontext von Industrie 4.0. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 116/11 (2021): S. 766-770.

J. Mertes, M. Klar, D. Lindenschmitt, M. Glatt, H. D. Schotten, J. C. Aurich: Adaptive Informationsdarstellung in der industriellen Produktion: Konzeption eines 5G-fähigen AR-Systems. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 116/11 (2021): S.757-761.

M. Klar, M. Glatt, J.C. Aurich: An implementation of a reinforcement learning based algorithm for factory layout planning. Journal of Manufacturing Letters 30 (2021): S. 1-4.

T.K. Khan, M. Pohl, P. Schworm, M. Klar, A. Ebert: Towards sustaining human-centered part manufacturing under workforce restrictions. ECCE 24 - European Conference on Cognitive Ergonomics (2024): S. 1-5. 10.1145/3673805.3673841

S. Ghansiyal, L. Yi, M. Klar, J. C. Aurich: Designing Porous Structure with Optimized Topology using Machine Learning. Procedia CIRP 125 Proceedings of the CIRP Conference on Bio Manufacturing (2024): S.190-195 j.procir.2024.08.033

P. Ruediger-Flore, M. Klar, M. Hussong, A. Mukherjee, M. Glatt, J.C. Aurich:Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow.
Procedia CIRP 121 - Proceedings of the 11th CIRP Global Web Conference (2024): S. 138-143. 10.1016/j.procir.2023.09.241

M. Klar, P. Rüdiger, M. Scheidt, M. Hussong, M. Glatt , B. Ravani, Jan C. Aurich: Development of a Machine Learning Model that represents the characteristics of a Manufacturing Systems. Procedia CIRP 122 - Proceedings of the 31st CIRP Conference on Life Cycle Engineering (2024): S. 175-180. 10.1016/j.procir.2024.01.026

M. Klar, M. Glatt, B. Ravani, J.C. Aurich: A simulation-based factory layout planning approach using reinforcement learning.Procedia CIRP 120 - Proceedings of the 56th CIRP International Conference on Manufacturing Systems (2023): S.123-128. 10.1016/j.procir.2023.08.023

A. Mukherjee, P. Ruediger-Flore, A. Billimoria, D. Chittari, W. Mustafa, M. Klar, M. Glatt, M. Kloft, J. C. Aurich: Training a Machine Learning Model for representing Manufacturing Systems towards optimizing Resilience. Procedia CIRP 120 - Proceedings of the 56TH CIRP Conference on Manufacturing Systems (2023): S. 768-773. 10.1016/j.procir.2023.09.073

X. Wu, L. Yi, M. Klar, M. Hussong, M. Glatt, J.C. Aurich: Intelligent Robotic Arm Path Planning (IRAP2) Framework to Improve Work Safety in Human-Robot Collaboration (HRC) Workspace Using Deep Deterministic Policy Gradient (DDPG) Algorithm. Proceedings of the International Conference on Flexible Automation and Intelligent Manufacturing (2022): S. 179-187.  10.1007/978-3-031-18326-3_18

A. Mukherjee, P. Ruediger-Flore, A. Billimoria, D. Chittari, W. Mustafa, M. Klar, M. Glatt, M. Kloft, J. C. Aurich, Training a Machine Learning Model for representing Manufacturing Systems towards optimizing Resilience, Procedia CIRP, Volume 120, 2023, Pages 768-773.10.1016/j.procir.2023.09.073

A. Mukherjee, J. Mertes, M. Glatt, J. C. Aurich, Voice User Interface based control for Industrial machine tools, Procedia CIRP, Volume 121, 2024, Pages 121-126. 10.1016/j.procir.2023.09.238.

Patrick Ruediger-Flore, Matthias Klar, Marco Hussong, Avik Mukherjee, Moritz Glatt, Jan C. Aurich, Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow, Procedia CIRP, Volume 121, 2024, Pages 138-143. 10.1016/j.procir.2023.09.241.

S. Ghansiyal, L. Yi, P. M. Simon, M. Klar, M. M. Müller, M. Glatt, J. C. Aurich: Anomaly detection towards zero defect manufacturing using generative adversarial networks. Procedia CIRP 120 - Proceedings of the 56th 56th CIRP Conference on Manufacturing Systems (2023): S. 1457-1462. 10.1016/j.procir.2023.09.193

J. Mertes, M. Glatt, L. Yi, M. Klar, B. Ravani ,J.C. Aurich: Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation. Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes. IRTG 2023. Springer (2023): S.90–110. 10.1007/978-3-031-35779-4_6 

M. Klar, J. Mertes, M. Glatt, B. Ravani, J. C. Aurich: A Holistic Framework for Factory Planning Using Reinforcement Learning. Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes. IRTG 2023. Springer (2023). S. 129–148. 10.1007/978-3-031-35779-4_8

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

M. Klar, M. Hussong, P. Ruediger, L. Yi, M. Glatt, J.C. Aurich: Scalability investigation of Double Deep Q Learning for factory layout planning. Procedia CIRP 107 - Proceedings of the 55th CIRP Conference on Manufacturing Systems (2022): S.161-166 DOI: 10.1016/j.procir.2022.04.027

J. Mertes, M. Glatt, C. Schellenberger, M. Klar, H.D. Schotten, J.C. Aurich: Development of a 5G-enabled Digital Twin of a Machine Tool. Procedia CIRP 107 (2022): S. 173-178.