The combination of physical machines and a suitable simulation environment enables the demonstration and evaluation of various applications and new technologies. This includes in particular the evaluation and demonstration of distributed production control systems and optimizations, which are researched in the group.
The goals of the group are the development of decentralized MES (Manufacturing Execution Systems) and the maintenance of the TIPI Lab to test them in realistic scenarios. A close cooperation with the group DCC enables the use of new highly efficient and high-performance embedded systems, which also enable sophisticated algorithms.
The so-called testbed-as-a-service approach of the TIPI Lab promotes cooperation with partners in research projects as well as in academic and vocational training.
The scientific questions of the MOM group are manifold and include, for example, the evaluation of robustness and flexibility of production processes, the efficiency of distributed control systems and the optimization of production through the use of intelligent self-organizing machines. A particular focus is on questions of information retrieval from manufacturing and suitable development processes for technical MOM platforms. Ultimately, this results in comprehensive IT support for new service-based ecosystems (platform economy, servitization) in manufacturing.
Xiaohui He, Dongmei Su, Wenchao Cai, Alexandra Pehlken, Guofang Zhang, Aimin Wang, Jinsheng Xiao ; Sustainability; 03 / 2021
Matthias Kalverkamp, Eckard Helmers, Alexandra Pehlken; Journal of Cleaner Production; 10 / 2020
Alexandra Pehlken, Kalle Wulf, Kevin Greksch, Thomas Klenke, Nina Tsydenova; Sustainability; 09 / 2020
Patrick Eschemann, Philipp Borchers, Linda Feeken, Ingo Stierand, Jan Stefan Zernickel, Martin Neumann; Modelling and Simulation'2020; Oktober / 2020
Prof. Dr. Sabine Baumann, Dr. Alexandra Pehlken; 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC); 09 / 2020
Jonas Kallisch, Frank Oppenheimer; Prodeedings of the 10th Annual European Decision Sciences Conference (EDSI), Nottingham, UK; 06 / 2019