P.M. Simon, M. Berndt, M. Schmitz, M. Wagner, J.C. Aurich: Towards the digital twin of a cutting tool: Evaluation of an anomaly detection based drilling tool condition monitoring system. Digital Engineering 12 (2027): 100130. 10.1016/j.dte.2026.100130

M. Hussong, P.M. Simon, M. Wagner, M. Kloft, J.C. Aurich: Deep transfer learning with graph neural networks for the selection of manufacturing processes. Journal of Manufacturing Systems 88 (2026): S. 753-771. 10.1016/j.jmsy.2026.07.008

P. Schworm, J. Gayer, M. Wagner, J.C. Aurich: Multi-objective optimization of job shop scheduling problems in manufacturing using gate-based quantum computing. Manufacturing Letters (2026). 10.1016/j.mfglet.2026.08.041

P. Schworm, X. Wu, M. Wagner, J.C. Aurich: Parameter study and industrial applicability of a quantum annealing approach for flexible job shop scheduling in manufacturing. Digital Engineering (2026): 100132. 10.1016/j.dte.2026.100132

X. Wu, P. Schworm, M. Wagner, J.C. Aurich: Scheduling for Energy-efficient Manufacturing using Quantum Annealing. Digital Engineering (2026): 100091. 10.1016/j.dte.2026.100091

M. Schürmann, S. Varshneya, L. Bachert, J. Platz, M. Wagner, M. Kloft, J.C. Aurich: A deep learning approach to modeling spatial powder stream distribution in directed energy deposition. Production Engineering 20/2 (2026): 60. 10.1007/s11740-026-01438-2

P. Schworm, T.K. Khan, T. Kang, M. Wagner, S. Schlund, A. Ebert, J.C. Aurich: Design and validation of remote collaboration modes for part manufacturing under reduced workforce conditions. Production Engineering - Research and Development 20/2 (2026): 47. 10.1007/s11740-026-01430-w

J.C. Aurich, J. Mertes, M. Wagner, M. Schmitz, M. Klar, B. Ravani: Digital twins in manufacturing: a taxonomy for manufacturing applications. Digital Twin 2/1 (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

P. Schworm, X. Wu, M. Wagner, S. Ehmsen, M. Glatt, J.C. Aurich: Energy supply scheduling in manufacturing systems using Quantum Annealing. Manufacturing Letters 38 (2023): S. 47-51 10.1016/j.mfglet.2023.09.005

P.M. Simon, M. Schmitz, M. Berndt, M. Wagner, J.C. Aurich: Evaluation of data reduction methods for anomaly detection based tool condition monitoring of drilling tools. Procedia CIRP 146 (2026): S. 475-480. 10.1016/j.procir.2026.03.276

M. Wagner, M. Schmitz, F.J. Sousa, J.C. Aurich: Adaptive Energy Management in Manufacturing: A Multi-Agent Reinforcement Learning Framework for Hydrogen-Based Decentralized Energy Supply Systems. Procedia CIRP 146 (2026): S. 439-444. 10.1016/j.procir.2026.03.211

A. Mukherjee, R. Vlas, P. Häfner, A. Kimmig, M. Wagner, J.C. Aurich: Industrial Voice User Interface for Programmable Machine Tools: Application to a 3-Axis Computer Numeric Code Milling Machine. Procedia CIRP 146 (2026): S. 427-432. 10.1016/j.procir.2026.03.190

M. Schmitz, J. Mertes, C. Schellenberger, M. Schürmann, M. Wagner, H.D. Schotten, J.C. Aurich: Investigations on the real-time capabilities of ML-algorithms for industrial automation processes. Procedia CIRP 146 (2026): S. 385-390. 10.1016/j.procir.2026.03.294

M. Schürmann, R. Blatz, S. Varshneya, M. Wagner, S. Fellenz, M. Kloft, J.C. Aurich: Mitigating the influence of anomaly detection errors on reinforcement learning for in-situ process optimization of directed energy deposition. Procedia CIRP 146 (2026): S. 301-306. 10.1016/j.procir.2026.03.174

P. Schworm, X. Wu, M. Wagner, J.C. Aurich: Evaluation of Nonlinear Model Formulation for Flexible Job Shop Scheduling in Manufacturing Using Quantum Annealing. Procedia CIRP 146 (2026): S. 237-242. 10.1016/j.procir.2026.03.181

M. Werrel, M. Schmitz, M. Wagner, J.C. Aurich: Influence of the Part Geometry on the Energy Consumption and Carbon Footprint of Aluminum Milling Parts. Procedia CIRP 146 (2026): S. 231-236. 10.1016/j.procir.2026.03.287

J. Gayer, M. Wagner, J.C. Aurich: A Modeling Approach of Material Flow Optimization in Manufacturing Using Quantum Annealing. Procedia CIRP 146 (2026): S. 60-65. 10.1016/j.procir.2026.03.194

M. Hussong, A. Petri, M. Wagner, J.C. Aurich: Federated Learning in Process Planning: A Proof of Concept for the Selection of Manufacturing Processes. Procedia CIRP 146 (2026): S. 37-41. 10.1016/j.procir.2026.03.206

M. Schürmann, A. Catrein, S. Varshneya, M. Wagner, J. Platz, M. Kloft, J.C. Aurich: Multi-objective anomaly-driven reinforcement learning for sustainable in-situ process optimization in directed energy deposition. Procedia CIRP 140 (2026): S. 922-927. 10.1016/j.procir.2026.05.155

M. Wagner, F. Frideres, M. Schürmann, M. Klar, J.C. Aurich: Investigating the Influence of Prompt Design in the Generation of Failure Mode and Effects Analysis Using Large Language Models. In: Srihari, K., Khasawneh, M.T., Yoon, S., Won, D. (eds) Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability. FAIM 2025. Lecture Notes in Mechanical Engineering. Springer, Cham (2026): S.58-65. 1007/978-3-032-07675-5_6 

M. Klar, A. Jawaid, P.M. Simon, M. Wagner, J. Seewig, B. Ravani, J.C. Aurich: Performance Comparison of Single-Agent and Multi-Agent Reinforcement Learning for Factory Layout Planning. Procedia CIRP 138 (2026): S. 132-137. 10.1016/j.procir.2026.01.024

M. Werrel, M. Wagner, M. Klar, J.C. Aurich: Examination of the Utilization of Use Phase Data for PSS Design. Procedia CIRP 136 (2025): S. 260-265. 10.1016/j.procir.2025.08.046

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

M. Wagner, F.J.P. Sousa, M. Werrel, M. Glatt, J.C. Aurich: Hybrid Models for Waste Reduction and Sustainable Manufacturing: A Comparative Study of Stoneware Tile Polishing. Production at the Leading Edge of Technology. Bauernhansl, T., Verl, A., Liewald, M., Möhring, HC. (eds). Production at the Leading Edge of Technology. WGP 2023. Lecture Notes in Production Engineering (2024): S. 387-396. ISBN: 978-3-031-47394-

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

M. Wagner, F.J.P. Sousa, M. Glatt, J.C. Aurich: Bridging the gap: A conceptual framework for developing and operating hybrid modeled digital twins under limited model input conditions. Procedia CIRP 121 - Proceedings of the 11th CIRP Global Web Conference (2024): S. 31-36. 10.1016/j.procir.2023.09.226

M. Glatt, P. Kölsch, M. Wagner, J. Mertes, J.C. Aurich: Framework for synergetic integration of heterogenous Digital Twins in Manufacturing Systems.Procedia CIRP 120 - Proceedings of the 56th CIRP International Conference on Manufacturing Systems (2023): S. 798-803. 10.1016/j.procir.2023.09.078

M. Wagner, F.J.P. Sousa, M. Werrel, M. Glatt, J.C. Aurich: Hybrid Models for Waste Reduction and Sustainable Manufacturing: A Comparative Study of Stoneware Tile Polishing. Proceedings of the 13th Congress of the German Academic Association for Production Technology (2023): S. 387-396. 10.1007/978-3-031-47394-4_38