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.
- Published
Differential Steering System for Vehicular Yaw Tracking Motion with Help of Sliding Mode Control
Kruse, O., Mukhamejanova, A. & Mercorelli, P., 06.2022, 23rd International Carpathian Control Conference, ICCC 2022. Popescu, D., Barbulescu, L.-F., Popescu, E., Roman, M. & Sendrescu, D. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 58-63 6 p. (23rd International Carpathian Control Conference, ICCC 2022).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Influence of Extrusion Rate on Microstructure and Mechanical Properties of Magnesium Alloy AM60 and an AM60-Based Metal Matrix Nanocomposite
Giannopoulou, D., Bohlen, J., Ben Khalifa, N. & Dieringa, H., 04.08.2022, In: Nanomaterials. 12, 15, 12 p., 2682.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
The Potential of AutoML for Demand Forecasting
Kramer, K., Behn, N. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 682-692 11 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Effect of rotational speed and double-sided welding in friction stir–welded dissimilar joints of aluminum alloy and steel
Bergmann, L. A., Batistão, B. F., de Alcântara, N. G., Gargarella, P. & Klusemann, B., 01.09.2022, In: Welding in the World. 66, 9, p. 1747-1756 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
A multi-scaled process study of dissimilar friction stir welding of Eurofer RAFM steel to PM2000 ODS alloy
Wang, J., Fu, B., Shen, J., Bergmann, L., Lu, X., dos Santos, J. F. & Klusemann, B., 01.09.2022, In: Journal of Materials Processing Technology. 307, 117679.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Application of Machine Learning on Transport Spot Rate Prediction In the Recycling Industry
Green, T., Rokoss, A., Kramer, K. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 554-563 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Fulfillment of Heterogeneous Customer Delivery Times through Decoupling the Production and Accelerating Production Orders
Heuer, T., Maier, J. T., Schmidt, M. & Nyhuis, P., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 564-573 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
A Systematic Literature Review Of Machine Learning Approaches For The Prediction Of Delivery Dates
Maier, J. T., Rokoss, A., Green, T., Brkovic, N. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 121-130 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor
Haus, B., Yap, J. S., Schaefer, L. & Mercorelli, P., 2022, Soft Computing: Theories and Applications - Proceedings of SoCTA 2021. Kumar, R., Ahn, C. W., Sharma, T. K., Verma, O. P. & Agarwal, A. (eds.). Cham: Springer Science and Business Media Deutschland, p. 527-537 11 p. (Lecture Notes in Networks and Systems; vol. 425).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Comparison on Hot Tearing Behavior of Binary Mg–Al, Mg–Y, Mg–Gd, Mg–Zn, and Mg–Ca Alloys
Song, J., Zhao, H., Liao, J., Jiang, B., Zhang, A., Huang, Y., Kainer, K. U., Hort, N. & Pan, F., 08.2022, In: Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science. 53, 8, p. 2986-3001 16 p.Research output: Journal contributions › Journal articles › Research › peer-review