Florian Stamer

Prof. Dr.-Ing.

  1. 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

  2. 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

  3. 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

  4. Identification of hybridization strategies for combining fused filament fabrication with unidirectional tape reinforcement

    Matkovic, N., Höger, K., Friedmann, M., Stamer, F., Fleischer, J. & Lanza, G., 02.2023, In: Composites Communications. 38, 4 p., 101484.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. 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 contributionsJournal articlesResearchpeer-review

  6. Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’

    Chen, T., Sampath, V., May, M. C., Shan, S., Jorg, O. J., Aguilar Martín, J. J., Stamer, F., Fantoni, G., Tosello, G. & Calaon, M., 02.2023, In: Applied Sciences (Switzerland). 13, 3, 32 p., 1903.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. 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 contributionsJournal articlesResearchpeer-review

  8. Dynamic pricing of product and delivery time in multi-variant production using an actor critic reinforcement learning

    Stamer, F. & Lanza, G., 01.2023, In: CIRP Annals. 72, 1, p. 405-408 4 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Modeling the effect of workpiece temperature on micromagnetic high-speed-3MA-testing in case of AISI 4140

    Güray, A., Böttger, D., González, G., Stamer, F., Lanza, G., Wolter, B. & Schulze, V., 2023, In: Procedia CIRP. 117, p. 133-138 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  10. Concept for In-process Measurement of Residual Stress in AM Processes by Analysis of Structure-Borne Sound

    Groenewold, J., Stamer, F. & Lanza, G., 2023, Production at the Leading Edge of Technology: Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022. Liewald, M., Verl, A., Bauernhansl, T. & Möhring, H.-C. (eds.). Springer Nature, p. 24-31 8 p. (Lecture Notes in Production Engineering; vol. Part F1163).

    Research output: Contributions to collected editions/worksChapterpeer-review