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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. 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

  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.

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

  4. 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

  5. 2024

  6. 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

  7. 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

  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, (Accepted/In press) In: Journal of Intelligent Manufacturing. 27 p.

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

  9. 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

  10. 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

  11. 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

  12. 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

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