Thomas Voß

  1. 2021
  2. Published

    Entscheidungsbäume und bestärkendes Lernen zur dynamischen Auswahl von Reihenfolgeregeln in einem flexiblen Produktionssystem

    Heger, J., Zein El Abdine, M., Sekar, S. & Voß, T., 26.08.2021, Simulation in Produktion und Logistik 2021: Erlangen, 15. - 17. September 2021. Franke, J. & Schuderer, P. (eds.). Göttingen: Cuvillier Verlag, p. 337-346 10 p. (ASIM-Mitteilung; vol. AM 177).

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

  3. E-pub ahead of print

    Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning

    Heger, J. & Voss, T., 01.07.2021, In : International Journal of Production Research. 15 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published
  5. Published

    Dynamische Losgrößenoptimierung mit bestärkendem Lernen

    Voß, T., Bode, C. & Heger, J., 2021, In : ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb. 116, 11, p. 815-819 5 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. 2020
  7. Published

    Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences

    Heger, J. & Voß, T., 14.12.2020, Proceedings of the 2020 Winter Simulation Conference, WSC 2020. Bae, K-H., Feng, B., Kim, S., Lazarova-Molnar, S., Zheng, Z., Roeder, T. & Thiesing, R. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1608 - 1618 11 p. 9383903. (Proceedings - Winter Simulation Conference; vol. 2020-December).

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

  8. 2019
  9. Published

    Simulation based optimization of lot sizes for opposing logistic objectives

    Maier, J. T., Voß, T., Heger, J. & Schmidt, M., 01.09.2019, Advances in Production Management Systems : Towards Smart Production Management Systems; IFIP WG 5.7 International Conference, APMS 2019 Austin, TX, USA, September 1–5, 2019; Proceedings, Part II. Ameri, F., Stecke, K. E., von Cieminski, G. & Kiritsis, D. (eds.). Cham: Springer, Vol. 2. p. 171-179 9 p. (IFIP Advances in Information and Communication Technology; vol. 567).

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

  10. Published

    Simulationsbasierte Optimierung zur Energieersparnis und Verbrauchsflexibilisierung in der Hinterlandentwässerung

    Heger, J. & Voß, T., 09.2019, Simulation in Produktion und Logistik 2019: Chemnitz, 18.-20. September 2019 . Putz, M. & Schlegel, A. (eds.). Auerbach: Verlag Wissenschaftliche Scripten, p. 153-162 10 p. (ASIM-Mitteilungen aus den Arbeitskreisen; vol. 164).

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

  11. Published

    Dynamic priority based dispatching of AGVs in flexible job shops

    Heger, J. & Voß, T., 13.03.2019, In : Procedia CIRP. 79, p. 445 - 449 5 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  12. Published

    Reducing mean tardiness in a flexible job shop containing AGVs with optimized combinations of sequencing and routing rules

    Heger, J. & Voß, T., 2019, In : Procedia CIRP. 81, p. 1136-1141 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  13. 2018
  14. Published

    Smarte Anpassung von Presslinienparametern: Bildgebende Sensorik und maschinelles Lernen für robustere Blechumformprozesse im Automobilbau

    Heger, J., Voß, T. & Selent, M., 04.2018, In : Industrie 4.0 Management. 34, 4, p. 53-56 4 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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