Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Engineering, in particular Modelling and Simulation of Technical Systems and Processes
- Professorship for Machine Tools
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Process Measurement Technology and Intelligent Systems
- Professorship for Product Development and Design
- Professorship of Control and Drive Systems
- Professorship of Production Management
Organisation profile
The members of the Institute for Production Technology and Systems (IPTS) carry out work on a wide range of engineering-related research questions.
When it comes to subjects, the members of the Institute concentrate on the topics of supply chain management and production management, as well as on measurement, control, plasma, production and material technology. Within these fields, we aim to answer current research questions through both experimental work and the use of digital modelling. Our overarching goal here is to provide better solution strategies for complex problems within the field of engineering.
Topics
Die Forschungsschwerpunkte des IPTS liegen im Bereich neuer Produktionstechnologien und Produktionssysteme. Dazu gehören nicht nur neue Technologien für Produktinnovationen, sondern auch die Entwicklung von Prozessen, Systemen, Komponenten, Ausrüstungen und Dienstleistungen.
Forschungsziele sind unter anderem die Optimierung der wertschöpfenden Prozessschritte und Minderung indirekter Arbeitsschritte wie Transport, Handhabungsschritte, Nacharbeit und Qualitätsüberprüfung.
Ein wichtiger Aspekt ist dabei immer der schonende Umgang mit den weltweit knapper werdenden Ressourcen. Innovative, effizient gestaltete Produktions- und Servicesysteme bilden einen weiteren Forschungschwerpunkt. Von besonderer Relevanz für die Forschung in der Produktion ist die ganzheitliche Bewertung von Lebenszykluskosten bei der Produktionsplanung.
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Editorial: Machine Learning and Data Mining in Materials Science
Huber, N., Kalidindi, S. R., Klusemann, B. & Cyron, C. J., 28.02.2020, In: Frontiers in Materials. 7, 3 p., 51.Research output: Journal contributions › Other (editorial matter etc.) › Research
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Ecological sustainability - a customer requirement ? Evidence from the automotive industry
Hetterich, J., Sebastian, B., Michael, P. & Georgiadis, A., 11.2012, In: Journal of Environmental Planning and Management. 55, 9, p. 1111-1133 23 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Dynamische Raumerfassung auf Basis einer Time-of-Flight Kamera
Papadoudis, J. & Georgiadis, A., 01.01.2012, Sensoren und Messsysteme 2012: Vorträge der 16. GMA/ITG-Fachtagung vom 22. bis 23. Mai 2012 in Nürnberg ; Tagungsband. AMA Service, p. 739-747 9 p.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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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
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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
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Dynamic environment modelling and prediction for autonomous systems
Papadoudis, J. & Georgiadis, A., 17.01.2017, Proceedings of the 2016 13th Workshop on Positioning, Navigation and Communication, WPNC 2016: WPNC 2016. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. 7822847. (Proceedings of the 2016 13th Workshop on Positioning, Navigation and Communication, WPNC 2016).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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
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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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Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
Heger, J., Branke, J., Hildebrandt, T. & Scholz-Reiter, B., 16.11.2016, In: International Journal of Production Research. 54, 22, p. 6812-6824 13 p.Research output: Journal contributions › Journal articles › Research › peer-review