| Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning MA Filz, JEB Langner, C Herrmann, S Thiede Computers in Industry 129, 103451, 2021 | 76 | 2021 |
| Analyzing different material supply strategies in matrix-structured manufacturing systems MA Filz, J Gerberding, C Herrmann, S Thiede Procedia CIRP 81, 1004-1009, 2019 | 27 | 2019 |
| Virtual quality gates in manufacturing systems: Framework, implementation and potential MA Filz, S Gellrich, A Turetskyy, J Wessel, C Herrmann, S Thiede Journal of Manufacturing and Materials Processing 4 (4), 106, 2020 | 26 | 2020 |
| Simulation-based assessment of quality inspection strategies on manufacturing systems MA Filz, C Herrmann, S Thiede Procedia CIRP 93, 777-782, 2020 | 24 | 2020 |
| Data-driven analysis of product state propagation in manufacturing systems using visual analytics and machine learning MA Filz, S Gellrich, C Herrmann, S Thiede Procedia CIRP 93, 449-454, 2020 | 22 | 2020 |
| Simulation-based data analysis to support the planning of flexible manufacturing systems MA Filz, C Herrmann, S Thiede Simulation Notes Europe 30 (4), 131-137, 2020 | 14 | 2020 |
| Automated statistical evaluation of energy data in the automotive production I Labbus, H Teiwes, MA Filz, C Herrmann, M Gonter, M Rössinger, ... Procedia Cirp 81, 1154-1159, 2019 | 11 | 2019 |
| Deep transfer learning for improved product quality prediction: a case study of aluminum gravity die casting S Gellrich, MA Filz, AS Wilde, T Beganovic, A Mattheus, T Abraham, ... Procedia CIRP 104, 912-917, 2021 | 10 | 2021 |
| Conceptual Framework for manufacturing data preprocessing of diverse input sources D Flick, S Gellrich, MA Filz, L Ji, S Thiede, C Herrmann 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 9 | 2019 |
| Data mining applications in manufacturing of lightweight structures S Gellrich, MA Filz, J Wölper, C Herrmann, S Thiede Technologies for economical and functional lightweight design: Conference …, 2019 | 9 | 2019 |
| Integrative simulation of information flows in manufacturing systems S Thiede, F Marc-André, B Thiede, NL Martin, J Zietsch, C Herrmann Procedia CIRP 81, 647-652, 2019 | 8 | 2019 |
| Assessment of changeability in battery cell production systems N Bognar, MA Filz, C Herrmann, S Thiede Procedia CIRP 72, 695-700, 2018 | 7 | 2018 |
| Systematic planning of quality inspection strategies in manufacturing systems MA Filz, JP Bosse, C Herrmann Procedia CIRP 104, 1101-1106, 2021 | 6 | 2021 |
| Data-driven analysis of product property propagation to support process-integrated quality management in manufacturing systems MA Filz, S Gellrich, F Lang, J Zietsch, T Abraham, C Herrmann Procedia CIRP 104, 900-905, 2021 | 6 | 2021 |
| Digitalization platform for data-driven quality management in multi-stage manufacturing systems MA Filz, JP Bosse, C Herrmann Journal of Intelligent Manufacturing, 1-20, 2023 | 2 | 2023 |
| Changeable Production Systems for Learning Factories and Research-based Learning N Martin, B Thiede, M Juraschek, MA Filz, C Herrmann Proceedings of the 12th Conference on Learning Factories (CLF 2022), 2022 | 1 | 2022 |
| Data-driven Quality Management in Multi-stage Manufacturing Systems MA Filz Technische Universität Braunschweig, 2023 | | 2023 |
| Cyber-physische Produktionssysteme in Forschungseinrichtungen der Technischen Universität Braunschweig C Herrmann, S Thiede, J Wessel, A Turetskyy, MA Filz, S Gellrich | | |
Christoph HerrmannProfessor for Sustainable Manufacturing and Life Cycle Engineering, Technische Universität BraunschweigVerified email at tu-braunschweig.de
