Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Modelling and Simulation of Technical Systems and Processes
- Professorship for Product Development and Design
- Professorship for Production Management
- 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.
Main research areas
The members of the department investigate this field from both a production management and a technical perspective.
Cooperations with companies and external research institutes play an important role in the IPTS work. We collaborate with our industry partners to create practically-oriented solutions to problems within industrial practice. This allows us to transfer our research findings directly into industrial companies, thus helping to improve our partners' competitiveness. A particular highlight of our work is the strong partnership which exists between the IPTS and the Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, which is formally expressed in the form of two shared professorships at the IPTS.
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Solar-powered radiotherapy
Müller-Polyzou, R. & Wirtz, H., 01.06.2022, Approaching Global Oncology: The win-win model. Elzawawy, A. & Ngwa, W. (eds.). Bristol: IOP Publishing Ltd, p. 1-8 8 p. (IOP series in global health and radiation oncology).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor
Haus, B., Mercorelli, P., Yap, J. S. & Schäfer, L., 2022, Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, revised selected papers. Patel, K. K., Doctor, G., Patel, A. & Lingras, P. (eds.). Cham: Springer Nature Switzerland AG, p. 41-50 10 p. (Communications in Computer and Information Science; vol. 1572 CCIS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Neue Wege in der ingenieurwissenschaftlichen Bildung am Beispiel der Elektrotechnik
Block, B.-M., 2022, Produktions- und Dienstleistungsstrukturen der Zukunft im Fokus: Wege zu technischer Bildung : Referate der 15. Ingenieurpädagogischen Regionaltagung 2021 an der Hochschule Zittau/Görlitz vom 17.-19. Juni 2021. Kammasch, G., Keil, S. & Winkler, D. (eds.). Berlin: Ingenieur-Pädagogische Wissenschaftsgesellschaft, p. 177-182 6 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Fundamental study of multi-track friction surfacing deposits for dissimilar aluminum alloys with application to additive manufacturing
Soujon, M., Kallien, Z., Roos, A., Zeller-Plumhoff, B. & Klusemann, B., 01.07.2022, In: Materials and Design. 219, 15 p., 110786.Research output: Journal contributions › Journal articles › Research › peer-review
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Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives
Maier, J. T., Heuer, T., Stoffersen, H., Nyhuis, P. & Schmidt, M., 01.01.2022, In: Procedia CIRP. 107, p. 332-337 6 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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Strategisches Supply-Chain-Risikomanagement: Einsatz von Künstlicher Intelligenz und Big Data zur Unterstützung des strategischen Supply-Chain-Risikomanagements
Kramer, K., Mousavi, D. & Schmidt, M., 30.05.2022, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 117, 5, p. 349-353 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Super-Twisting Sliding Mode Control for Differential Steering Systems in Vehicular Yaw Tracking Motion
Kruse, O., Mukhamejanova, A. & Mercorelli, P., 01.05.2022, In: Electronics (Switzerland). 11, 9, 24 p., 1330.Research output: Journal contributions › Journal articles › Research › peer-review
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Effect of laser peen forming process parameters on bending and surface quality of Ti-6Al-4V sheets
Sala, S. T., Keller, S., Chupakhin, S., Pöltl, D., Klusemann, B. & Kashaev, N., 01.07.2022, In: Journal of Materials Processing Technology. 305, 16 p., 117578.Research output: Journal contributions › Journal articles › Research › peer-review
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Characterization of the deformation state of magnesium by electrical resistance
Meyer, S., Wiese, B., Hort, N. & Willumeit-Römer, R., 01.07.2022, In: Scripta Materialia. 215, 4 p., 114712.Research output: Journal contributions › Journal articles › Research › peer-review