Florian Stamer
Prof. Dr.-Ing.
- Engineering
Research areas
- 2024
Adaptive acquisition planning for visual inspection in remanufacturing using reinforcement learning
Kaiser, J. P., Gäbele, J., Koch, D., Schmid, J., Stamer, F. & Lanza, G., 2024, (Accepted/In press) In: Journal of Intelligent Manufacturing. 27 p.Research output: Journal contributions › Journal articles › Research › peer-review
A Framework for Anomaly Classification and Segmentation in Remanufacturing using Autoencoders and Simulated Data
Kaiser, J. P., Enslin, C. L., Barczak, E. T., Stamer, F., Heizmann, M. & Lanza, G., 2024, In: Procedia CIRP. 126, p. 1005-1010 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops
Bilen, A., Stamer, F., Behrendt, S. & Lanza, G., 2024, Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023. Bauernhansl, T., Verl, A., Liewald, M. & Möhring, H.-C. (eds.). Cham: Springer Nature, p. 195-204 10 p. (Lecture Notes in Production Engineering; vol. Part F1764).Research output: Contributions to collected editions/works › Chapter › peer-review
Concept for Process Parameter-Based Inline Quality Control as a Basis for Pairing in a Production Line
Geiser, A., Stamer, F. & Lanza, G., 2024, Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023. Baunernhansl, T., Verl, A., Liewald, M. & Möhring, H.-C. (eds.). Springer Nature, p. 481-487 7 p. (Lecture Notes in Production Engineering; vol. Part F1764).Research output: Contributions to collected editions/works › Chapter › peer-review
Qualitätssicherung von Brennstoffzellen
Buchholz, J., Börgardts, R., Goes, D., Stamer, F. & Lanza, G., 2024, In: WT Werkstattstechnik. 114, 11-12, p. 710-716 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
Selective disassembly planning considering process capability and component quality utilizing reinforcement learning
Tabar, R. S., Magnanini, M. C., Stamer, F., May, M. C., Lanza, G., Wärmefjord, K. & Söderberg, R., 2024, In: Procedia CIRP. 121, p. 1-6 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- 2023
Development of a simulative approach in order to estimate the impact of smart services on a production system: Linking the influence of smart services to economic potential in production
Stamer, F., Fausel, K., Peukert, S. & Lanza, G., 10.2023, In: Production Engineering. 17, 5, p. 743-752 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches: application on micro gears
Khezri, A., Schiller, V., Goka, E., Homri, L., Etienne, A., Stamer, F., Dantan, J. Y. & Lanza, G., 06.2023, In: International Journal of Advanced Manufacturing Technology. 126, 9-10, p. 4101-4117 17 p.Research output: Journal contributions › Journal articles › Research › peer-review
Identification of hybridization strategies for combining fused filament fabrication with unidirectional tape reinforcement
Matkovic, N., Höger, K., Friedmann, M., Stamer, F., Fleischer, J. & Lanza, G., 02.2023, In: Composites Communications. 38, 4 p., 101484.Research output: Journal contributions › Journal articles › Research › peer-review
Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’
Chen, T., Sampath, V., May, M. C., Shan, S., Jorg, O. J., Aguilar Martín, J. J., Stamer, F., Fantoni, G., Tosello, G. & Calaon, M., 02.2023, In: Applied Sciences (Switzerland). 13, 3, 32 p., 1903.Research output: Journal contributions › Journal articles › Research › peer-review