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.
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Publications
2022
Development of a Prototype for a Process Support and Analysis Platform for Small and Medium-sized Enterprises
Jonas Kallisch, Christoph Wunck; Proceedings of 35th International Conference on Computer Applications in Industry and Engineering 89; 10 / 2022
Digitale Nachhaltigkeit im Nordwesten
Ekwaro-Osire, Henry; Pehlken, Alexandra; Mittelstand-Digital Magazin Wissenschaft trifft Praxis - Sonderausgabe Nachhaltigkeit; Mai / 2022
Metric Based Dynamic Control Charts for Edge Anomaly Detection in Factory Logistics
Patrick Eschemann and Philipp Borchers and Dennis Lisiecki and Jan Elmar Krauskopf; Journal of Physics: Conference Series; oct / 2022
Networks, platforms, and digital business ecosystems: mapping the development of a field
Baumann, Sabine and Leerhoff, Marcel; Handbook on Digital Business Ecosystems; 2022
Options for connecting decentralized data infrastructure to improve Supply-Chain decision making without giving up individual data property
Jonas Kallisch, Christoph Wunck; Decision Sciences Institute 2022 Annual Conference Proceedings; November / 2022
Securing the data bridges in digital supply chains
Jonas Kallisch, Karl-Heinz Niemann und Christoph Wunck; ICTA EMoS; 11 / 2022
2021
Comparison of Production Dynamics Prediction Methods to Increase Context Awareness for Industrial Transport Systems
Philipp Borchers, Dennis Lisiecki, Patrick Eschemann, Linda Feeken, Mehrnoush Hajnorouzi, Ingo Stierand; Modelling and Simulation 2021; 10 / 2021
Einsatz von Künstlicher Intelligenz in der Digitalisierung von Abfallverbrennungskraftwerken
Alexandra Pehlken, Patrick Eschemann, Henriette Garmatter, Fabian Cyris, Astrid Nieße; INFORMATIK 2021 - Computer Science & Sustainability; 09 / 2021
Influence of Material Selection and Product Design on Automotive Vehicle Recyclability
Xiaohui He, Dongmei Su, Wenchao Cai, Alexandra Pehlken, Guofang Zhang, Aimin Wang, Jinsheng Xiao ; Sustainability; 03 / 2021
Optimizing Factory Layouts With Supervised Genetic Algorithm
Patrick Eschemann, Jan Elmar Krauskopf, Dr. Jürgen Sauer, Jan Stefan Zernickel; Modelling and Simulation’2021; 10 / 2021
