Florian Stamer

Prof. Dr.-Ing.

  1. Erschienen

    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, S. 248-259 12 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  2. 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, S. 227-232 6 S.

    Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

  3. 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.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  4. 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, S. 396–401 6 S.

    Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

  5. 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. (Hrsg.). Springer Nature, S. 481-487 7 S. (Lecture Notes in Production Engineering; Band Part F1764).

    Publikation: Beiträge in SammelwerkenKapitelbegutachtet

  6. 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. (Hrsg.). Cham: Springer Nature, S. 195-204 10 S. (Lecture Notes in Production Engineering; Band Part F1764).

    Publikation: Beiträge in SammelwerkenKapitelbegutachtet

  7. 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, S. 1-6 6 S.

    Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

  8. 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, (Angenommen/Im Druck) in: Journal of Intelligent Manufacturing. 27 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  9. Analysis and evaluation of adaptive remanufacturing strategies for mechanical products

    Stamer, F. & Fabig, F., 01.09.2024, in: At-Automatisierungstechnik. 72, 9, S. 884-892 9 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  10. 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, S. 272-291 20 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet