Circular TwAIn

About the project

Circular TwAIn lowered the barriers for all the stakeholders in manufacturing and process industry circular value chains to adopt and fully leverage of trusted AI technologies, in ways that enabled end-to-end sustainability, i.e. from eco-friendly product design to the maximum exploitation of production waste across the circular chain. To this end, the project researched, developed, validated and exploited a novel AI platform for circular manufacturing value chains, which supported the development of interoperable circular twins for end-to-end sustainability. Circular TwAIn unlocked the innovation potential of a collaborative AI-based intelligence in production based on the use of cognitive digital twins. Moreover, based on the use of trustworthy AI techniques, Circular TwAIn enabled human centric sustainable manufacturing, fostering the transition towards Industry 5.0. Furthermore, Circular TwAIn enabled the integration and combination of different data from various sources over entire product life cycle considering sustainability aspects. The goal was to create and deliver innovative services among the members of the data ecosystem; these services were embedded in AI-based Digital Twins, supporting an unambiguous communication when realizing complex services for sustainable manufacturing. The ambition of Circular TwAIn was to unleash the sustainability potential of AI technologies in circular manufacturing chains through: (i) Introducing AI optimizations in stages where AI was still not used (e.g. AI-based product design); (ii) Using AI for multi-stage and multi-objective circular optimizations that could improve sustainability performance. In this direction, the project leveraged information from a circular manufacturing dataspace that provided access to the datasets needed for multi-stage and multi-objective optimizations.