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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Multimodal analysis of spatially heterogeneous microstructural refinement and softening mechanisms in three-pass friction stir processed Al-4Si alloy
Escobar, J., Gwalani, B., Olszta, M., Silverstein, J., Overman, N., Bergmann, L., dos Santos, J. F., Staron, P., Maawad, E., Klusemann, B., Mathaudhu, S. & Devaraj, A., 20.12.2021, In: Journal of Alloys and Compounds. 887, 13 p., 161351.Research output: Journal contributions › Journal articles › Research › peer-review
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Revealing joining mechanism in refill friction stir spot welding of AZ31 magnesium alloy to galvanized DP600 steel
Fu, B., Shen, J., Suhuddin, U. F. H. R., Pereira, A. A. C., Maawad, E., dos Santos, J. F., Klusemann, B. & Rethmeier, M., 01.11.2021, In: Materials and Design. 209, 18 p., 109997.Research output: Journal contributions › Journal articles › Research › peer-review
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FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
Hedman, M. & Mercorelli, P., 25.05.2021, 2021 American Control Conference (ACC). Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1470-1477 8 p. 9482876. (Proceedings of the American Control Conference).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Decisions And Characteristics During The Development Process Of A Software Demonstrator For Data Analysis In Production Logistics
Maier, J. T., Berger, S., Heuer, T., Nyhuis, P. & 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. 514-523 10 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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EFFECT OF RADIAL CLEARANCE ON BALL BEARING'S DYNAMICS USING A 2-DOF MODEL
Ambrozkiewicz, B., Litak, G., Georgiadis, A., Syta, A., Meier, N. & Gassner, A., 10.09.2021, In: International Journal of Simulation Modelling. 20, 3, p. 513-524 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Using Digitalization As An Enabler For Changeability In Production Systems In A Learning Factory Environment
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. 730-739 10 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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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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Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach
Hillnhagen, S., Mütze, A., Nyhuis, P. & Schmidt, M., 2021, Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 202;1 Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 688 - 698 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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A learning factory approach on machine learning in production companies: How a learning factory approach can help to increase the understanding of the application of machine learning on production planning and control tasks
Rokoss, A., Kramer, K. & Schmidt, M., 2021, Competence development and learning assistance systems for the data-driven future. Sihn, W. & Schlund, S. (eds.). Berlin: GITO mbH Verlag, p. 125-142 18 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › 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