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.
- 2025
- Published
Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods
Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 374-384 11 p. 32. (Proceedings of the ... Conference on Production Systems and Logistics; no. 7).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Material flow during constrained friction processing and its effects on the local properties of AM50 rods
Caroline de Castro, C., Chen, T., de Campos Fernandes, D. & Klusemann, B., 2025, 28th International ESAFORM Conference on Material Forming, ESAFORM 2025. Carlone, P., Filice, L. & Umbrello, D. (eds.). Association of American Publishers, p. 1777-1785 9 p. (Materials Research Proceedings; vol. 54).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Microstructure-Oriented Fatigue Crack Propagation in Two Cast Mg–Al–Ba–Ca Alloys
Maier, P., Wolfram, B., Roggelin, J. & Hort, N., 2025, Magnesium Technology 2025. Tolnai, D., Palumbo, A., Leonard, A. & Neelameggham, N. R. (eds.). Springer Science and Business Media Deutschland, p. 87-96 10 p. (Minerals, Metals and Materials Series).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Accepted/In press
Performance of Polycrystalline Boron Nitride Tools during Orbital Friction Stir Welding of Clad Pipes
Ramos, F. D., Amavisca, C. V., Bergmann, L., Lemos, G. V. B., Reguly, A. & Klusemann, B., 2025, (Accepted/In press) In: Journal of Materials Engineering and Performance.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation
Diab, M., Mercorelli, P., Haus, B. & Dethmann, J., 2025, Soft Computing and Its Engineering Applications: 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part II. Patel, K. K., Santosh, K., Gomes de Oliveira, G., Patel, A. & Ghosh, A. (eds.). Cham: Springer Nature, Vol. 2. p. 230-244 15 p. (Communications in Computer and Information Science; vol. 2431 CCIS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
The Role of Geometry in Mg Implant Design
Hort, N., Wiese, B., Witte, F. & Maier, P., 2025, Magnesium Technology 2025. Tolnai, D., Palumbo, A., Leonard, A. & Neelameggham, N. R. (eds.). Cham: Springer Science and Business Media Deutschland, p. 3-8 6 p. (Minerals, Metals and Materials Series).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Utilizing Synchrotron Radiation for Phase Identification in Mg Alloys
Szakács, G., Tolnai, D., Wiese, B. & Hort, N., 2025, TMS 2025 154th Annual Meeting and Exhibition Supplemental Proceedings. Cham: Springer Nature, p. 1587-1599 13 p. (Minerals, Metals and Materials Series).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming
Sala, S. T., Bock, F. E., Pöltl, D., Klusemann, B., Huber, N. & Kashaev, N., 01.2025, In: Journal of Intelligent Manufacturing. 36, 1, p. 639-659 21 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Die geometry influence on the texture and microstructure development during extrusion of AZ31 and ZK60 magnesium alloy chips
Hendriok, L., Nienaber, M., Kurz, G. & Ben Khalifa, N., 01.2025, In: Materials and Design. 249, 13 p., 113545.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 01.2025, In: Journal of the Franklin Institute. 362, 2, 21 p., 107471.Research output: Journal contributions › Journal articles › Research › peer-review