Concept

Boost the performance of Circular Manufacturing Systems

Circular TwAIn is developing a novel AI platform for circularity with the aim to increase the performance, resilience, and sustainability of direct manufacturing and process industries.

The project is based on 2 fundamental concepts.

Collaborative AI and
Seamless Data Sharing.

Collaborative AI

AI technology is seen as meaningful support for the human worker on the shop floor – not as a replacement. The collaborative approach aims to reach performances that man or machine, acting independently, cannot reach.

Seamless Data Sharing

Technical and semantical interoperability as well as trustworthiness between all actors of the circular manufacturing system is vital.

Objectives

Circular TwAIn aims to achieve

A Reference Architecture

Create a reference architecture as a touchstone to be adapted to circular and sustainable value chains in the manufacturing and process industry.

A Pool of Sustainability Data

Create a pool of sustainability and circularity data, information, and aspects in an AI-based production.

AI & Human Collaboration

Promote trustworthy AI and human-centric manufacturing and make AI-based manufacturing processes more attainable to humans.

Product Sustainability

Optimise sustainable manufacturing with material-product level AI based digital twins.

Process Sustainability

Optimise sustainable manufacturing with process-plant level AI based digital twins.

An Innovation Platform

Update the existing platforms and create an open innovation platform for AI driven sustainable and circular manufacturing.

Industry
Applications

Evaluate the results in 3 relevant manufacturing use cases.

An Ecosystem of Stakeholders

Develop a sustainability ecosystem of relevant stakeholders to demonstrate the value of the platform and promote its wider use.