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Thomas Voß

Thomas Voß

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Thomas Voß

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    1 - 10 out of 18Page size: 10
    1. 2023
    2. Published

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

      Heger, J. & Voss, T., 2023, In: International Journal of Production Research. 61, 1, p. 147-161 15 p.

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

    3. 2022
    4. Published

      Methode zur dynamischen Anpassung von Reihenfolgeregeln mit bestärkendem Lernen

      Voß, T., 06.09.2022, Lüneburg. 120 p.

      Research output: Books and anthologies › Dissertations

    5. Published

      Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System

      Voß, T., Heger, J. & Zein El Abdine, M., 09.2022, In: Simulation Notes Europe. 32, 3, p. 169-175 7 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

    6. Published

      Dynamic Lot Size Optimization with Reinforcement Learning

      Voss, T., Bode, C. & Heger, J., 01.01.2022, Dynamics in Logistics : Proceedings of the 8th International Conference LDIC 2022, Bremen, Germany. Freitag, M., Kinra, A., Kotzab, H. & Megow, N. (eds.). Cham: Springer Science and Business Media B.V., p. 376-385 10 p. (Lecture Notes in Logistics).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    7. 2021
    8. 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/works › Article in conference proceedings › Research › peer-review

    9. Published

      Outperformed by a Computer? - Comparing Human Decisions to Reinforcement Learning Agents, Assigning Lot Sizes in a Learning Factory: 11th Conference on Learning Factories, CLF2021

      Voß, T., Rokoss, A., Maier, J. T., Schmidt, M. & Heger, J., 06.2021, Rochester: Elsevier Inc., 6 p. (SSRN).

      Research output: Working paper › Working papers

    10. Published

      Dynamische Losgrößenoptimierung mit bestärkendem Lernen

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

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

    11. 2020
    12. 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/works › Article in conference proceedings › Research › peer-review

    13. 2019
    14. 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/works › Article in conference proceedings › Research › peer-review

    15. 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/works › Article in conference proceedings › Research › peer-review

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