Florian Stamer
Prof. Dr.-Ing.
- Engineering
Research areas
- Published
Application of dynamic pricing for variant production using reinforcement learning
Stamer, F., Henzi, M. & Lanza, G., 09.2025, In: CIRP Journal of Manufacturing Science and Technology. 60, p. 248-259 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
Integrative inspection methodology for enhanced PCB remanufacturing using artificial intelligence
Stamer, F., Jachemich, R., Puttero, S., Verna, E. & Galetto, M., 2025, In: Procedia CIRP. 132, p. 227-232 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
Coping with concept drift in a virtual metrology application to predict part quality in micro gear manufacturing
Bilen, A., Grommes, A., Stamer, F. & Lanza, G., 05.2025, In: Measurement: Sensors. 38, Supplement, 101797.Research output: Journal contributions › Journal articles › Research › peer-review
Quality Control Loop for Tool Wear Compensation in Milling Process using different Optimization Methods
Bilen, A., Kaiser, J.-P., Gauder, D., Stamer, F. & Lanza, G., 2024, In: Procedia CIRP. 126, p. 396–401 6 p.Research output: Journal contributions › Conference article in journal › Research › 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
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
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
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
Analysis and evaluation of adaptive remanufacturing strategies for mechanical products
Stamer, F. & Fabig, F., 01.09.2024, In: At-Automatisierungstechnik. 72, 9, p. 884-892 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
Effect of technology multiplier: A framework for analysis of innovation perspectives on production segment allocation
Stamer, F., Girke, R., Yang, S., Chun, J. H. & Lanza, G., 12.2024, In: CIRP Journal of Manufacturing Science and Technology. 55, p. 272-291 20 p.Research output: Journal contributions › Journal articles › Research › peer-review