Professorship for Engineering, in particular Modelling and Simulation of Technical Systems and Processes

Organisational unit: Section

  1. 2020
  2. Published

    Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN

    Kortmann, F., Talits, K., Fassmeyer, P., Warnecke, A., Meier, N., Heger, J., Drews, P. & Funk, B., 10.12.2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020: Proceedings, Dec 10 - Dec 13, 2020 • Virtual Event. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 5563-5571 9 p. 9378245. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).

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

  3. 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

  4. 2021
  5. 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

  6. Published
  7. 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

  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/worksArticle in conference proceedingsResearchpeer-review

  9. Published
  10. 2022
  11. 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

  12. 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

  13. 2023
  14. 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