Project Description:

As a fundamental service of production & logistics systems in the age of Industry 4.0, compartmentalized 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 optimizing 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.

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Direct supervisor:

• Prof. Dr. Manfred Reichert, Institute of Databases and Information Systems, Ulm University

Tandem partner:

• Prof. Dr. Sven Völker, Faculty of Production Engineering and Production Economics, University of Applied Sciences Ulm

Expert advisors:

• Prof. Dr. Heiko Neumann, Institute of Neural Information Processing, Ulm University

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Affiliation:	Ulm University
Methods/Technologies:	learning
Applications:	Industry 4.0, decentralized logistics