Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
Where: international
Where: international
Challenge
The sensitivity of individuals, companies and PAs on environment and climate change is increasing, leading investors and researchers to develop solutions to reduce the waste and create a greener supply chain. This focus translates into AI solutions to assist manufacturers. Today's limit is that solutions are not holistic.
Approach
Circular Twain proposes a fully digitalized chain, feeding AI-powered digital twins consuming data within an interoperable data space, which would be eligible to support multiple use cases while guaranteeing the full knowledge of the history of each part, product and process.
Digital Ecosystem
Solution
Digital Ecosystem
Circular TwAIn provides seamless data-sharing solutions, data spaces with product-specific information, including sustainability and waste data, which are used to get accurate models to improve the overall product and production lifecycle, along the whole process value chain. The Project employs AI tools for a broad range of manufacturing processes. Furthermore, the collaborative AI supports operators in daily activities and supervises algorithms to help humans in product/part recognition, disassembly, production and shopfloor process optimization. Engineering is the Project Coordinator and is responsible of the delivery of the Reference Architecure, the circular Data Space(s) and the Marketplace.
The project has received co-funding from the European Union's Horizon Europe programme - Grant Agreement No. 101058585
Results
Decreased time for demanufacturing
Decreased CO2 and unit process cost
Lower impact on the environment
Offers new economic opportunities for manufacturers and consumers
Technologies
Digital Twin
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Internet Of Things
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AI & Advanced Analytics
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Cybersecurity
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Cloud
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