Institute for production technology and systems
Organisational unit: Institute
- 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.
- Published
Dissimilar welding of aluminum to AlSi-coated steel sheets using refill friction stir spot welding: A feasibility study
Shen, T., Fu, B., Chen, T., Suhuddin, U. & Klusemann, B., 2024, Material Forming, ESAFORM 2024: The 27th International ESAFORM Conference on Material Forming – ESAFORM 2024. Araujo, A. C., Cantarel, A., Chabert, F., Korycki, A., Olivier, P. & Schmidt, F. (eds.). Millersville, PA: Association of American Publishers, p. 1705-1713 9 p. (Materials Research Proceedings; vol. 41).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Distributable Modular Software Framework for Manufacturing Systems
Papadoudis, J. & Georgiadis, A., 01.01.2016, Procedia CIRP: Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future - Proceedings of the 48th CIRP Conference on Manufacturing Systems. Elsevier Scientific Publishing, Vol. 41. p. 712-716 5 p. (Procedia CIRP; vol. 41).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies
Kramer, K., Rokoss, A. & Schmidt, M., 2021, Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 2021; Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 223-233 11 p. (Proceedings of the ... Conference on Production Systems and Logistics; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Drahtloses und bildgebendes Multi-Sensorsystem integriert in eine Handgelenksorthese für ein nichtinvasives Langzeitmonitoring
Schimmack, M., Georgiadis, A., Suhkhikh, R. & Siemsen, C. H., 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. 603-609 7 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Dry high speed milling as a new machining technology of ceramics for biomedical and other applications
Georgiadis, A. & Sergeev, E., 2005, Advances in bioceramics and biocomposites: a collection of papers presented at the 29th International Conference on Advanced Ceramics and Composites. Mizuno, M. (ed.). John Wiley & Sons Inc., Vol. 26. p. 41-51 11 p. (Ceramic Engineering and Science Proceedings; vol. 26, no. 6).Research output: Contributions to collected editions/works › Article in conference proceedings › Research
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Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors
Zwerger, T. & Mercorelli, P., 01.01.2020, Advanced, Contemporary Control : Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020. Bartoszewicz, A., Kabziński, J. & Kacprzyk, J. (eds.). Cham: Springer, Vol. 1. p. 424-435 12 p. (Advances in Intelligent Systems and Computing; vol. 1196).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Ductility and fracture behavior of cold spray additive manufactured zinc
Huang, C. J., Chen, T., Fu, B. L., Zhang, Z. M., List, A., Wiehler, L., Klusemann, B., Li, W. Y., Gärtner, F. & Klassen, T., 05.06.2024, In: Additive Manufacturing. 89, 16 p., 104310.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
- 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
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