Florian Stamer

Prof. Dr.-Ing.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. A development approach for a standardized quality data model using asset administration shell technology in the context of autonomous quality control loops for manufacturing processes

    Bilen, A., Stamer, F., May, M. C. & Lanza, G., 2023, European Society for Precision Engineering and Nanotechnology: Conference Proceedings - 23rd International Conference and Exhibition, EUSPEN 2023. Riemer, O., Nisbet, C. & Phillips, D. (eds.). European Society for Precision Engineering and Nanotechnology, p. 443-446 4 p. (European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 23rd International Conference and Exhibition, EUSPEN 2023).

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

  7. CT-Messungen automatisieren

    Blum, E., Stamer, F. & Lanza, G., 2023, In: WT Werkstattstechnik. 113, 11-12, p. 545-549 5 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Towards a Service-Oriented Architecture for Production Planning and Control: A Comprehensive Review and Novel Approach

    Behrendt, S., Stamer, F., May, M. C. & Lanza, G., 2023, Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 2. Herberger, D. & Hübner, M. (eds.). Hannover: Publish-Ing in cooperation with TIB - Leibniz Information Centre for Science and Technology University Library, p. 255-267 13 p. (Proceedings of the Conference on Production Systems and Logistics).

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

  9. 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/worksChapterpeer-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/worksChapterpeer-review