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Florian Stamer

Prof. Dr.-Ing.

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Prof. Dr.-Ing. Florian Stamer

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  1. 2025
  2. Published

    From cost to capability: Technology Multiplier in EV manufacturing strategy

    Girke, R., Schäfer, L., Maier, T., Stamer, F., Yang, S., Chun, J. H. & Lanza, G., 10.2025, In: Journal of Manufacturing Systems. 82, p. 319-332 14 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. 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

  4. Optimizing quality and cost in remanufacturing under uncertainty: A novel optimization framework utilizing quality and process modelling

    Stamer, F. & Sauer, J., 06.2025, In: Production Engineering. 19, 3, p. 369-390 22 p., 141289.

    Research output: Journal contributions › Journal articles › Research › peer-review

  5. 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

  6. Harmonizing micro crown gear and spur gear geometries: A novel approach for geometry evaluation through analogous transformation

    Bilen, A., Klumpp, J., Stamer, F. & Lanza, G., 05.2025, In: Measurement: Sensors. 38, 6 p., 101882.

    Research output: Journal contributions › Journal articles › Research › peer-review

  7. Simulating X-ray beam energy and detector signal processing of an industrial CT using implicit neural representations

    Blum, E., Burmeister, M., Stamer, F. & Lanza, G., 19.02.2025, In: E-Journal of nondestructive testing. 30, 2, 6 p.

    Research output: Journal contributions › Conference article in journal › Research

  8. Published

    Enhancing Visual Inspection in Remanufacturing: A Reinforcement Learning Approach with Integrated Robot Simulation

    Koch, D., Kaiser, J. P., Stamer, F., Stark, R. & Lanza, G., 2025, In: Procedia CIRP. 134, p. 939-944 6 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  9. 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

  10. The Role of Metrology in Decarbonization

    Wawerla, M., Lachnit, T., Wamsler, S., Zeschky, M., Kai, M., Benfer, M. & Stamer, F., 2025, In: Procedia CIRP. 134, p. 425-430 6 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  11. 2024

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 2023

  22. 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

  23. 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

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