Circularity and remanufacturing-enabling digital twins.


CREDIT: Circularity and remanufacturing-enabling digital twins.

The CREDIT project addresses current challenges in circular remanufacturing by adopting a human-centred innovation approach, focusing on the digitalisation of assets (A), creating multi-layered Digital Twins (B), and developing an open-source-based distributed ICT platform (C), allowing seamless data management and complex DT implementation.


Additionally, a range of remanufacturing-enabling digital services (D), including AI-based decision support systems, DLT-based traceability and quality control, predictive maintenance, and general support tools for remanufacturing operations, such as Augmented Reality, will be integrated. Alongside these technologies and tools, a comprehensive upskilling and education methodology (E) is developed to ensure the appropriate level of maturity at the factory site.


Five diverse business cases in the white goods, telecommunications, aerospace, and automotive sectors have been designed based on their relevance and potential for broad impact. These use cases have been co-created with stakeholders in line with the social innovation methodology to ensure that the specific objectives and technologies are aligned with end users’ needs. By providing an operational environment, these use cases serve as the foundation for achieving the final TRL7 and demonstrating the platform’s adaptability and potential for deployment in various industrial sectors. This is consolidated through a scaled replicability study.


The project’s far-reaching impact touches a wide set of target groups, leading to a more sustainable, efficient, and socially responsible future for the manufacturing industry. CREDIT aims to generate economic benefits such as increased efficiency, reduced production costs, and enhanced competitiveness while addressing environmental concerns by reducing waste, lowering carbon emissions, and minimizing raw material consumption, in line with the EU’s green manufacturing and sustainability targets.

Our main tasks

  • Financial & administrative management.
  • Quality assurance and innovation management.
  • Ethical & Legal framework and gender equity.
  • Best practices and project handbook.
  • Guidelines for the implementation of remanufacturing services and team alignment.
  • Big data management architecture.
  • Interfaces for data integration: Internal/External APIs and SDK.
  • Semantic modelling and ontologies.
  • Machine learning pipeline development tools.
  • External modelling interface for model exchange and co-simulation.
  • Services for the development of custom applications.
  • Lifecycle Sustainability Assessment methodology and tools.
  • CREDIT applications reusability and future uptake.
  • Platform deployment, configuration and integration in pilot site.s
  • Use cases results and KPIs.



Start date – finish date

01 / 2024 - 12 / 2027

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 101138182