Thomas Voß
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Thomas Voß
- Engineering
Research areas
- Working papers › Research
- 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
- Conference article in journal › Research › Peer-reviewed
- 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 contributions › Conference article in journal › Research › peer-review
- Published
Optimal scheduling of AGVs in a reentrant blocking job-shop
Heger, J. & Voß, T., 22.03.2018, In: Procedia CIRP. 67, p. 41-45 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Reducing mean tardiness in a flexible job shop containing AGVs with optimized combinations of sequencing and routing rules
Heger, J. & Voß, T., 01.01.2019, In: Procedia CIRP. 81, p. 1136-1141 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- 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
- Journal articles › Research › Peer-reviewed
- 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
- 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
- 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 contributions › Journal articles › Research › peer-review
- Contributions to collected editions/anthologies › Research › Peer-reviewed
- Published
Optimal trajectory generation using MPC in robotino and its implementation with ROS system
Mercorelli, P., Voss, T., Straßberger, D., Sergiyenko, O. & Lindner, L., 03.08.2017, Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017: Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1642-1647 6 p. 8001493. (IEEE International Symposium on Industrial Electronics).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Article in conference proceedings › Research › Peer-reviewed
- Published
A model predictive control in Robotino and its implementation using ROS system
Mercorelli, P., Voß, T., Straßberger, D., Sergiyenko, O. & Lindner, L., 02.02.2017, 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. 7841369. (2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review