| Modeling and implementation of a digital twin of material flows based on physics simulation M Glatt, C Sinnwell, L Yi, S Donohoe, B Ravani, JC Aurich Journal of Manufacturing Systems 58, 231-245, 2021 | 110 | 2021 |
| An eco-design for additive manufacturing framework based on energy performance assessment L Yi, M Glatt, P Sridhar, K de Payrebrune, BS Linke, B Ravani, JC Aurich Additive Manufacturing 33, 101120, 2020 | 42 | 2020 |
| Process monitoring of economic and environmental performance of a material extrusion printer using an augmented reality-based digital twin L Yi, M Glatt, S Ehmsen, W Duan, JC Aurich Additive Manufacturing 48, 102388, 2021 | 33 | 2021 |
| An implementation of a reinforcement learning based algorithm for factory layout planning M Klar, M Glatt, JC Aurich Manufacturing Letters 30, 1-4, 2021 | 27 | 2021 |
| A method for energy modeling and simulation implementation of machine tools of selective laser melting L Yi, M Glatt, TYT Kuo, A Ji, B Ravani, JC Aurich Journal of cleaner production 263, 121282, 2020 | 25 | 2020 |
| Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems J Mertes, D Lindenschmitt, M Amirrezai, N Tashakor, M Glatt, ... Journal of Manufacturing Systems 64, 578-593, 2022 | 22 | 2022 |
| Physical modeling of material flows in cyber-physical production systems M Glatt, JC Aurich Procedia manufacturing 28, 10-17, 2019 | 20 | 2019 |
| Technical product-service systems: analysis and reduction of the cumulative energy demand MF Glatt, L Yi, G Mert, BS Linke, JC Aurich Journal of cleaner production 206, 727-740, 2019 | 20 | 2019 |
| Quantum Annealing based factory layout planning M Klar, P Schworm, X Wu, M Glatt, JC Aurich Manufacturing Letters 32, 59-62, 2022 | 18 | 2022 |
| A use case to implement machine learning for life time prediction of manufacturing tools R Oberle, S Schorr, L Yi, M Glatt, D Bähre, JC Aurich Procedia CIRP 93, 1484-1489, 2020 | 18 | 2020 |
| Edge-based digital twin to trace and ensure sustainability in cross-company production networks M Glatt, P Kölsch, C Siedler, P Langlotz, S Ehmsen, JC Aurich Procedia CIRP 98, 276-281, 2021 | 17 | 2021 |
| Solving flexible job shop scheduling problems in manufacturing with Quantum Annealing P Schworm, X Wu, M Glatt, JC Aurich Production Engineering 17 (1), 105-115, 2023 | 15 | 2023 |
| Validation of a physics engine for the simulation of material flows in cyber-physical production systems M Glatt, D Kull, B Ravani, JC Aurich Procedia CIRP 81, 494-499, 2019 | 14 | 2019 |
| A case study on the part optimization using eco-design for additive manufacturing based on energy performance assessment L Yi, S Ehmsen, M Glatt, JC Aurich Procedia CIRP 96, 91-96, 2021 | 13 | 2021 |
| Engineering changes in manufacturing systems supported by AR/VR collaboration C Siedler, M Glatt, P Weber, A Ebert, JC Aurich Procedia CIRP 96, 307-312, 2021 | 12 | 2021 |
| 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 |
| 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 … L Yi, P Langlotz, M Hussong, M Glatt, FJP Sousa, JC Aurich CIRP Journal of Manufacturing Science and Technology 38, 844-860, 2022 | 9 | 2022 |
| Modelle als grundlage für den digitalen zwilling P Langlotz, M Glatt, FJP Sousa, JC Aurich Zeitschrift für wirtschaftlichen Fabrikbetrieb 115 (5), 340-343, 2020 | 9 | 2020 |
| Combining physical simulation and discrete-event material flow simulation M Glatt, G Kasakow, JC Aurich Procedia CIRP 72, 420-425, 2018 | 7 | 2018 |
| 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 | 6 | 2022 |
Jan C. AurichProfessor, Mechanical Engineering, University of KaiserslauternVerified email at mv.uni-kl.de
