Project Acronym: CircularTwAIn
Project Full Title: AI Platform for Integrated Sustainable and Circular Manufacturing
Duration: 01/07/2022 – 30/06/2025
Project Website: https://www.circular-twain-project.eu/
Suite5 in CircularTwAIn
Suite5 role in Circular TwAIn, is to bring together the AI for Manufacturing Reference Implementations and the development of the AI for Circularity and Resilience applications toolkit, while being involved in all tasks concerning AI‐enabled Digital Twins, distributed manufacturing and Data Space for Circular and Resilient Manufacturing.
Circular TwAIn will research, develop, validate and exploit a novel AI platform for circular manufacturing value chains, which will support the development of interoperable circular twins for end-to-end sustainability. Circular TwAIn will unlock 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 will enable human centric sustainable manufacturing, fostering the transition towards Industry 5.0. Furthermore, Circular TwAIn will enable the integration and combination of different data from various sources over entire product life cycle considering sustainability aspects. The goal is to create and deliver innovative services among the members of the data ecosystem; these services will be embedded in AI-based Digital Twins, supporting an unambiguous communication when realizing complex services for sustainable manufacturing. The ambition of Circular TwAIn is to unleash the sustainability potential of AI technologies in circular manufacturing chains through: (i) Introducing AI optimizations in stages where AI is 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 will leverage information from a circular manufacturing dataspace that will provide access to the datasets needed for multi-stage and multi-objective optimisations.
Other Resources: https://cordis.europa.eu/project/id/101058585