As a fundamental service of production & logistics systems in the age of Industry 4.0, compartmentalised components are marked with RFID transponders in order to track and trace their way along the supply chain. In turn, this results in large, fine-grained data streams that comprise comprehensive temporal and motion annotations (i.e. big data). The ability to flexibly transform these data into decision-relevant knowledge for controlling, adapting and optimising production and logistics processes will become a critical success factor for the competitiveness of single enterprises as well as corporate networks. Project P9 will develop scalable, real-time data analytics techniques in order to enable a dynamic, context-aware reconfiguration of distributed production & logistics systems.
Supervisor and assignment
Direct supervisor
Prof. Dr. Manfred Reichert, Institute of Databases and Information Systems, Ulm University
Tandem partner
Prof. Dr. Sven Völker, Production Engineering and Production Economics Department, Ulm University of Applied Sciences
Expert advisors
Prof. Dr. Heiko Neumann, Institute of Neural Information Processing, Ulm University
Assigned to: | Ulm University
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Method/technologies: | learning |
Contact
For questions regarding the Post Graduate School of Ulm University and Ulm University of Applied Sciences, "Cognitive Computing in Socio-Technical Systems", please contact the project leaders Prof. Dr. Manfred Reichert and Prof. Dr. Christian Schlegel.
Project leaders
Prof. Dr. Christian Schlegel
Ulm University of Applied Sciences
Department of Computer Science
Prof. Dr. Manfred Reichert
Ulm University
Institute of Databases and Information Systems
Information from Ulm University about the Post Graduate School of Ulm University and Ulm University of Applied Sciences
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