Florian Stamer

Prof. Dr.-Ing.

  1. 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/worksChapterpeer-review

  2. 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 contributionsConference article in journalResearchpeer-review

  3. 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 contributionsJournal articlesResearchpeer-review

  4. 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 contributionsJournal articlesResearchpeer-review

  5. 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 contributionsJournal articlesResearchpeer-review

  6. 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 contributionsJournal articlesResearchpeer-review

  7. 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 contributionsConference article in journalResearchpeer-review

  8. 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 contributionsJournal articlesResearchpeer-review

  9. Erfolgreiche Kollaboration in Produktionsnetzwerken - fair, sicher, vernetzt

    Lanza, G. (Editor), Weinhardt, C. (Editor), Silbernagel, R., Stamer, F., Sautter, B., Linzbach, J., Badewitz, W., Reichbauer, A., Schüßler, F., Vojanec, B., Wagner, M., Vonderau, D., Gröll, R., Beskorovajnov, W., Prosiegel, J., Korczok, A., Gross, W., Cho, Y., Yoon, S., Solis Fernandez, J. A., Oiarbide, L., Turan, E. & Kühnert, M., 15.03.2022, Karlsruhe: Karlsruher Institut für Technologie (KIT), 60 p.

    Research output: Working paperProject reportsResearch

  10. Framework for Smart Services as a premise for collaboration in the era of manufacturing services

    Stamer, F., Labbouz, A., Haefner, B. & Lanza, G., 2019, Production at the leading edge of technology: Proceedings of the 9th Congress of the German Academic Association for Production Technology (WGP), September 30th - October 2nd, Hamburg 2019.. Wulfsberg, J. P., Hintze, W. & Behrens, B.-A. (eds.). Berlin, Heidelberg: Springer Vieweg, p. 603–612 10 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review