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.
- Chapter › Research › Peer-reviewed
- Published
Logistical Potentials of Load Balancing via the Build-up and Reduction of Stock
Heuer, T., Maier, J. T., Busse, T. D., Schmidt, M. & Nyhuis, P., 2021, 2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021: 13 - 16 December 2021. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 264-269 6 p. (2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Manufacturing as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 15-17 3 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Mecanum wheel slip detection model implemented on velocity-controlled drives
Gilfillan, C. L., van Niekerk, T., Mercorelli, P. & Sergiyenko, O., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Elsevier, p. 199-213 15 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Median based algorithm as an entropy function for noise detection in wavelet trees for data reconciliation
Mercorelli, P., 01.01.2012, New Developments in Mathematics Research. Clarke, N. L. & Ronson, A. P. (eds.). Nova Science Publishers, Inc., p. 85-104 20 p. (Mathematics Research Developments).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Mikrosensorsystem zur Gleichzeitigen Messung und Bestimmung von Konzentrationen in 3-komponentenmischungen für die Qualitätssicherung der Getränkeindustrie (Alkopopsgetränke): Ein Neues Verfahren zur Bestimmung der Konzentrationen von Ternären Lösungen und die Dazugehörige Vorrichtung in Form Eines Multisensor- mikrosystems
Georgiadis, A. & Ivanova, T., 2008, VDI Berichte. 2011 ed. Elsevier B.V., p. 635-644 10 p. (VDI Berichte; no. 2011).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Modeling a modular omnidirectional AGV developmental platform with integrated suspension and power-plant
Macfarlane, A. B. S., van Niekerk, T., Becker, U. & Mercorelli, P., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 151-168 18 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Modeling Interactions and Dependencies in Production Planning and Control: An Approach for a Systematic Description
Mütze, A., Lebbing, S., Hillnhagen, S., Schmidt, M. & Nyhuis, P., 04.03.2023, Smart, Sustainable Manufacturing in an Ever-Changing World: Proceedings of International Conference on Competitive Manufacturing (COMA ’22) . von Leipzig, K., Sacks, N. & Clelland, M. M. (eds.). Cham: Springer Schweiz, p. 31-44 14 p. (Lecture Notes in Production Engineering; vol. Part F1162).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Motion and control of autonomous unmanned aerial systems as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 327-330 4 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Motion and control of autonomous unmanned aerial systems as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 243-245 3 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Motion control and autonomous robots as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Marcorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 111-114 4 p.Research output: Contributions to collected editions/works › Chapter › peer-review