For socio-technical systems, which require tight collaboration between humans and machines, flexible process support is crucial, for example, in the context of industry 4.0. However, the digital workflows driving the interactions between humans and machines need to be highly adaptive and customizable in order to meet practical demands, e.g., to enable flexible order management for manufacturing products with many variants or to dynamically trigger and execute maintenance processes to cope with disruptive events. In the context of project P6, an adaptive process management technology, developed in previous work by Ulm University, shall be enhanced with the ability to automatically detect deviations between digital workflows on the one hand and the processes actually taking place in the physical world on the other. Respective deviations shall be detected based on advanced techniques (e.g. sensor data analysis). Furthermore, novel techniques shall be developed to flexibly handle them, e.g., by automatically adapting the digital workflow to realign it with the real-world process. Note that such dynamic and automated workflow adaptations need to be accomplished in a controlled, correct and efficient way, with the involvement of users.
Supervisor and assignment
planning & reasoning, interaction
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.
Prof. Dr. Christian Schlegel
Ulm University of Applied Sciences
Department of Computer Science
Prof. Dr. Manfred Reichert
Institute of Databases and Information Systems