ASSIST4RESILIENCE: Increasing Resilience in Manufacturing â Development of a Digital Twin Based Worker Assistance
The project aims to increase resilience in human-centered SME manufacturing companies by merging cognitive assistance supported workstation with a real-time connected Digital Twin that enables real-time optimization of a digitalized workstation and related work processes through safe human-machine interactions.
The main steps of the research:
- practically usable resilience metrics analysis and evaluation for manufacturing,
- Axiomatic Design decomposition for resilient Cyber-Physical Production Systems design,
- approach for monitoring system architecture for long-term resilience,
- Digital Twin integration with worker assistance and information systems,
- cyber-physical demonstrator design, testing and validation.
Team
Dr. Tanel Aruväli
Senior Research Fellow
Free University of Bozen-Bolzano, Smart Mini Factory Laboratory
tanel.aruvaeli@unibz.it
Prof. Dr.-Ing. Dipl.-Wirtsch.-Ing. Erwin Rauch
Endowed Professor for Smart and Sustainable Manufacturing
Free University of Bozen-Bolzano, Smart Mini Factory Laboratory
Journal articles
Conference publications
Conference publications (accepted, in print)
Aruväli, T., De Marchi, M. & Rauch, E. Monitoring System Architecture for Long-Term Resilience in Manufacturing. Modern Materials and Manufacturing (MMM2023), AIP Publishing, 2023.
For further research collaborations, please contact tanel.aruvaeli@unibz.it
This project is financed by the Autonomous Province of Bozen/Bolzano, Department innovation, research, universities and museums.