X. Wu, P. Schworm, M. Klar, J.C. Aurich: Factory layout planning using quantum annealing. CIRP Annals - Manufacturing Technology (2025). 10.1016/j.cirp.2025.03.013

S. Ehmsen, J. Conrads, M. Klar, J.C. Aurich: Environmental impact of powder production for additive manufacturing: Carbon footprint and cumulative energy demand of gas atomization. Journal of Manufacturing Systems 82 (2025): S. 13-25. 10.1016/j.jmsy.2025.05.004

M. Hussong, P. Ruediger-Flore, M. Klar, M. Kloft, J.C. Aurich: Selection of manufacturing processes using graph neural networks. Journal of Manufacturing Systems 80 (2025): S. 176-193. 10.1016/j.jmsy.2025.02.016

M. Hussong, M. Klar, J.C. Aurich: Federated Learning in der Arbeitsplanung Bestimmung von Fertigungsvorgängen mithilfe von graphenbasiertem Federated Learning. Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) 120/s1 (2025): S. 269-273. 10.1515/zwf-2024-0131

J.C. Aurich, J. Mertes, M. Wagner, M. Schmitz, M. Klar, B. Ravani: Digital twins in manufacturing: a taxonomy for manufacturing applications. Digital Twin (2025). 2496645. 10.1080/27525783.2025.2496645

F. Sousa, M. Wagner, R. Gonçalves, R. Halla, M. Klar, J.C. Aurich: Sensitivity analysis of the kinematic parameters during the industrial polishing process of ceramic floor tiles. Digital Engineering 6 (2025):  S. 100049. 10.1016/j.dte.2025.100049

M. Klar, P.M. Simon, B. Ravani, J.C. Aurich: Simulation-based brownfield factory planning using deep reinforcement learning. Digital Engineering 3 (2024): 100026. 10.1016/j.dte.2024.100026

J. Mertes, M. Schmitz, D. Lindenschmitt, C. Schellenberger, M. Klar, B. Ravani, H.D. Schotten, J.C. Aurich: Evaluation of 5G-based closed-loop control on part quality for milling processes. Digital Engineering 3 (2024): 100024. 10.1016/j.dte.2024.100024

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

M. Werrel, M. Klar, J.C. Aurich: Circularity assessment of product-service systems using system dynamics modeling. Sustainable Production and Consumption 52 (2024): S. 124-135. 10.1016/j.spc.2024.10.021

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.

M. Schmitz, J. Mertes, D. Lindenschmitt, M. Klar, H.D. Schotten, J.C. Aurich: ML-driven wireless CNC machine tool control: A concept to address latency and jitter in industrial networks. Procedia CIRP 134 (2025): S. 1-6. 10.1016/j.procir.2025.03.057

J. Gayer, M. Schürmann, M. Hussong, M. Klar, J.C. Aurich: Automated fixture designs using reinforcement learning. Procedia CIRP 134 (2025): S. 133-138. 10.1016/j.procir.2025.03.021

M. Schürmann, S. Varshneya, M. Klar, S. Ghansiyal, M. Kloft, J.C. Aurich: A framework for in-situ process control in metal additive manufacturing using anomaly-driven reinforcement learning. Procedia CIRP 134 (2025): S. 211-216. 10.1016/j.procir.2025.03.050

S. Ghansiyal, M. Schmitz, T. Kirsch, M. Klar, J.C. Aurich: Real-time process monitoring in additive manufacturing using machine learning. Procedia CIRP 134 (2025): S. 79-84. 10.1016/j.procir.2025.03.046

T. Khan, P. Schworm, M. Pohl, M. Klar, J.C. Aurich, A. Ebert: Towards Realizing Collaborative Systems to Enable Telework in Part Manufacturing. Engineering Interactive Computer Systems. EICS 2024 International Workshops. EICS 2024. Lecture Notes in Computer Science, vol 15518. Springer, Cham. (2025): S. 189-209. ISBN: 978-3-031-91760-8. 10.1007/978-3-031-91760-8_13

M. Schmitz, J. Mertes, D. Lindenschmitt, M. Klar, H.D. Schotten, J.C. Aurich: The applications of joint communication and sensing in manufacturing: a 6G technology. Procedia CIRP 132 (2025): S. 178-183. 10.1016/j.procir.2025.01.030

S. Ehmsen, M. Klar, J.C. Aurich: Evaluating the environmental impact of additive manufacturing: A methodology to determine the environmental impact of parts manufactured by high-speed laser directed energy deposition. Procedia CIRP 122 (2024): S. 91-96. 10.1016/j.procir.2024.01.013

M. Wagner, F.J.P. Sousa, R. Halla, O.V. de Santana Júnior, M. Klar, J.C. Aurich: Designing a Resilient Hybrid-Modeled Digital Twin for Reliable Manufacturing Processes. Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order In: Wang, YC., Chan, S.H., Wang, ZH.: Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order. FAIM 2024. Lecture Notes in Mechanical Engineering. Springer, Cham. (2024): S. 143-150. ISBN: 978-3-031-74482-2. 10.1007/978-3-031-74482-2_17

I. T. A. Dantas, R. P. Medeiros, F. B. Costa, F. J. P. Sousa, M. Wagner, M. Klar, J. C. Aurich: Industry 4.0-Compliant Wavelet-Based Power Transformer Fault Classification Method During Data Missing Conditions. Proceedings of the 2024 IEEE Power & Energy Society General Meeting (PESGM) (2024): S. 1-5. 10.1109/PESGM51994.2024.10689202

D. Lindenschmitt, P. Seehofer, M. Schmitz, J. Mertes, R. Bless, M. Klar, M. Zitterbart, J. C. Aurich, H. D. Schotten: Dynamic Spectrum Management for 6G Network-in-Network Concepts. 15th International Conference on Network of the Future (NoF) - Proceedings of the 2024 15th International Conference on Network of the Future (NoF) (2024): S. 151-153. 10.1109/NoF62948.2024.10741442

T. 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.