Jens Heger

Prof. Dr.

  1. 2023
  2. Published

    Simulationsbasierte Untersuchung von Energieflexibilität bei der Optimierung in der Hinterlandentwässerung

    Hempel, M. C. & Heger, J., 01.01.2023, ASIM Workshop 2023: STS/GMMS/EDU : Proceedings Langbeiträge : ASIM Fachgruppenworkshop 2023, STS Simulation Technischer Systeme, GMMS Grundlagen und Methoden in Modellbildung und Simulation, EDU Simulation und Edukation, 6.3.-7.3.2023, Universität Magdeburg. Krull, C., Commerell, W., Durak, U., Körner, A. & Pawletta, T. (eds.). Wien: ARGESIM Verlag , p. 143-149 7 p. (ASIM Mitteilung ; vol. 185)(ARGESIM Report; vol. 21).

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

  3. 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 contributionsJournal articlesResearchpeer-review

  4. 2022
  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 contributionsConference article in journalResearchpeer-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/worksArticle in conference proceedingsResearchpeer-review

  7. 2021
  8. Published
  9. 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

  10. Published

    Modeling the Quarter-Vehicle: Use of Passive Sensor Data for Road Condition Monitoring

    Kortmann, F., Horstkötter, J., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 15.07.2021, In: IEEE Sensors Journal. 21, 14, p. 15535-15543 9 p., 9281332.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  11. Published
  12. 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 contributionsJournal articlesResearchpeer-review

  13. 2020
  14. 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

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