Professorship for Engineering, in particular Modelling and Simulation of Technical Systems and Processes
Organisational unit: Section
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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 contributions › Journal articles › Research › peer-review
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Anomaly detection in formed sheet metals using convolutional autoencoders
Heger, J., Desai, G. & Zein El Abdine, M., 01.01.2020, In: Procedia CIRP. 93, p. 1281-1285 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
Kortmann, F., Peitzmeier, H., Meier, N., Heger, J. & Drews, P., 10.2019, 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings: Conference proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 8956699. (Proceedings of IEEE Sensors; vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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
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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
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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
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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
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Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium
Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 01.11.2021, In: International Journal of Material Forming. 14, 6, p. 1319–1335 17 p.Research output: Journal contributions › Journal articles › Research › peer-review
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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
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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