| An implementation of a reinforcement learning based algorithm for factory layout planning M Klar, M Glatt, JC Aurich Manufacturing Letters 30, 1-4, 2021 | 29 | 2021 |
| Quantum Annealing based factory layout planning M Klar, P Schworm, X Wu, M Glatt, JC Aurich Manufacturing Letters 32, 59-62, 2022 | 19 | 2022 |
| Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems P Langlotz, M Klar, L Yi, M Hussong, FJP Sousa, JC Aurich Procedia CIRP 112, 549-554, 2022 | 12 | 2022 |
| Scalability investigation of Double Deep Q Learning for factory layout planning M Klar, M Hussong, P Ruediger-Flore, L Yi, M Glatt, JC Aurich Procedia CIRP 107, 161-166, 2022 | 10 | 2022 |
| Development of a 5G-enabled Digital Twin of a Machine Tool J Mertes, M Glatt, C Schellenberger, M Klar, HD Schotten, JC Aurich Procedia CIRP 107, 173-178, 2022 | 8 | 2022 |
| Performance comparison of reinforcement learning and metaheuristics for factory layout planning M Klar, M Glatt, JC Aurich CIRP Journal of Manufacturing Science and Technology 45, 10-25, 2023 | 6 | 2023 |
| Resilience optimization in manufacturing systems using Quantum Annealing P Schworm, X Wu, M Klar, J Gayer, M Glatt, JC Aurich Manufacturing Letters 36, 13-17, 2023 | 4 | 2023 |
| A framework for automated multiobjective factory layout planning using reinforcement learning M Klar, P Langlotz, JC Aurich Procedia CIRP 112, 555-560, 2022 | 4 | 2022 |
| Explainable generative design in manufacturing for reinforcement learning based factory layout planning M Klar, P Ruediger, M Schuermann, GT Gören, M Glatt, B Ravani, ... Journal of Manufacturing Systems 72, 74-92, 2024 | 2 | 2024 |
| Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing P Schworm, X Wu, M Klar, M Glatt, JC Aurich Journal of Manufacturing Systems 72, 142-153, 2024 | 2 | 2024 |
| A Holistic Framework for Factory Planning Using Reinforcement Learning M Klar, J Mertes, M Glatt, B Ravani, JC Aurich International Research Training Group Conference on Physical Modeling for …, 2023 | 2 | 2023 |
| Automatisierte Wertstrommethode unter Nutzung von Reinforcement Learning: Ein Konzept zur Identifikation und Nutzung von Verbesserungspotentialen P Langlotz, M Klar, M Glatt, JC Aurich Zeitschrift für wirtschaftlichen Fabrikbetrieb 117 (6), 395-399, 2022 | 2 | 2022 |
| Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning M Klar, P Schworm, X Wu, P Simon, M Glatt, B Ravani, JC Aurich Journal of Manufacturing Systems 74, 487-511, 2024 | 1* | 2024 |
| Anomaly detection towards zero defect manufacturing using generative adversarial networks S Ghansiyal, L Yi, PM Simon, M Klar, MM Müller, M Glatt, JC Aurich Procedia CIRP 120, 1457-1462, 2023 | 1 | 2023 |
| Intelligent Robotic Arm Path Planning (IRAP2) Framework to Improve Work Safety in Human-Robot Collaboration (HRC) Workspace Using Deep Deterministic … X Wu, L Yi, M Klar, M Hussong, M Glatt, JC Aurich International Conference on Flexible Automation and Intelligent …, 2022 | 1 | 2022 |
| Development of a Machine Learning Model that represents the characteristics of a Manufacturing Systems M Klar, P Rüdiger, M Scheidt, M Hussong, M Glatt, B Ravani, JC Aurich Procedia CIRP 122, 175-180, 2024 | | 2024 |
| Evaluating the environmental impact of additive manufacturing: A methodology to determine the environmental impact of parts manufactured by high-speed laser directed energy … S Ehmsen, M Klar, JC Aurich Procedia CIRP 122, 91-96, 2024 | | 2024 |
| Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow P Ruediger-Flore, M Klar, M Hussong, A Mukherjee, M Glatt, JC Aurich Procedia CIRP 121, 138-143, 2024 | | 2024 |
| A new gradient infill design method for material extrusion using density-based topology optimization and G-code extension L Yi, J Mertes, M Klar, S Ghansiyal, C Fei, M Glatt, JC Aurich Manufacturing Letters 37, 21-25, 2023 | | 2023 |
| Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation J Mertes, M Glatt, L Yi, M Klar, B Ravani, JC Aurich International Research Training Group Conference on Physical Modeling for …, 2023 | | 2023 |
