| Lean 4.0-A conceptual conjunction of lean management and Industry 4.0 A Mayr, M Weigelt, A Kühl, S Grimm, A Erll, M Potzel, J Franke Procedia Cirp 72, 622-628, 2018 | 393 | 2018 |
| Virtual Commissioning–Scientific review and exploratory use cases in advanced production systems T Lechler, E Fischer, M Metzner, A Mayr, J Franke Procedia CIRP 81, 1125-1130, 2019 | 131 | 2019 |
| Machine learning in production–potentials, challenges and exemplary applications A Mayr, D Kißkalt, M Meiners, B Lutz, F Schäfer, R Seidel, A Selmaier, ... Procedia CIRP 86, 49-54, 2019 | 80 | 2019 |
| Evaluation of machine learning for quality monitoring of laser welding using the example of the contacting of hairpin windings A Mayr, B Lutz, M Weigelt, T Gläßel, D Kißkalt, M Masuch, A Riedel, ... 2018 8th International Electric Drives Production Conference (EDPC), 1-7, 2018 | 56 | 2018 |
| Electric motor production 4.0–application potentials of industry 4.0 technologies in the manufacturing of electric motors A Mayr, M Weigelt, J von Lindenfels, J Seefried, M Ziegler, A Mahr, ... 2018 8th International electric drives production conference (EDPC), 1-13, 2018 | 47 | 2018 |
| Application Scenarios of Artificial Intelligence in Electric Drives Production A Mayr, M Weigelt, M Masuch, M Meiners, F Hüttel, J Franke Procedia Manufacturing 24, 40-47, 2018 | 41 | 2018 |
| Process reliable laser welding of hairpin windings for automotive traction drives T Glaessel, J Seefried, M Masuch, A Riedel, A Mayr, A Kuehl, J Franke 2019 International Conference on Engineering, Science, and Industrial …, 2019 | 37 | 2019 |
| Conceptual design of an intelligent ultrasonic crimping process using machine learning algorithms M Weigelt, A Mayr, J Seefried, P Heisler, J Franke Procedia Manufacturing 17, 78-85, 2018 | 32 | 2018 |
| Microservice-based architecture for engineering tools enabling a collaborative multi-user configuration of robot-based automation solutions E Schäffer, A Mayr, J Fuchs, M Sjarov, J Vorndran, J Franke Procedia CIRP 86, 86-91, 2019 | 31 | 2019 |
| Potentials of machine learning in electric drives production using the example of contacting processes and selective magnet assembly A Mayr, A Meyer, J Seefried, M Weigelt, B Lutz, D Sultani, M Hampl, ... 2017 7th International Electric Drives Production Conference (EDPC), 1-8, 2017 | 29 | 2017 |
| Process-driven approach within the engineering domain by combining business process model and notation (BPMN) with process engines E Schäffer, V Stiehl, PK Schwab, A Mayr, J Lierhammer, J Franke Procedia CIRP 96, 207-212, 2021 | 23 | 2021 |
| Quo vehis, Elektromobilität? M Weigelt, A Mayr, R Böhm, A Kühl, J Franke Zeitschrift für wirtschaftlichen Fabrikbetrieb 113 (1-2), 59-63, 2018 | 19 | 2018 |
| Concept for an integrated product and process development of electric drives using a knowledge-based system A Mayr, A Meyer, P Gönnheimer, J Gramlich, M Reiser, J Franke 2017 7th International Electric Drives Production Conference (EDPC), 1-7, 2017 | 19 | 2017 |
| Streamlining the development of data-driven industrial applications by automated machine learning D Kißkalt, A Mayr, B Lutz, A Rögele, J Franke Procedia CIRP 93, 401-406, 2020 | 18 | 2020 |
| Digital twin of the linear winding process based on explicit finite element method M Weigelt, J Kink, A Mayr, J Lindenfels, A Kühl, J Franke 2019 9th international electric drives production conference (EDPC), 1-7, 2019 | 16 | 2019 |
| Gradual tool-based optimization of engineering processes aiming at a knowledge-based configuration of robot-based automation solutions E Schäffer, A Mayr, T Huber, T Höflinger, M Einecke, J Franke Procedia CIRP 81, 736-741, 2019 | 16 | 2019 |
| Digitalisierung im Engineering E Schäffer, L Penczek, A Mayr, J Bakakeu, J Franke, B Kuhlenkötter | 15 | 2019 |
| Potentials of optical coherence tomography for process monitoring in laser welding of hairpin windings M Baader, A Mayr, T Raffin, J Selzam, A Kühl, J Franke 2021 11th international electric drives production conference (EDPC), 1-10, 2021 | 14 | 2021 |
| Towards an intelligent linear winding process through sensor integration and machine learning techniques A Mayr, D Kißkalt, A Lomakin, K Graichen, J Franke Procedia CIRP 96, 80-85, 2021 | 14 | 2021 |
| Towards a data-driven process monitoring for machining operations using the example of electric drive production D Kißkalt, A Mayr, J von Lindenfels, J Franke 2018 8th International electric drives production conference (EDPC), 1-6, 2018 | 14 | 2018 |
Jörg FrankeFriedrich-Alexander University of Erlangen-NürnbergBestätigte E-Mail-Adresse bei faps.uni-erlangen.de
