Digitalised Value Management for Unlocking the potential of the Circular Manufacturing Systems with integrated digital solutions

Digital, Industry & SpaceHORIZON-RIAID: 101091536
EC Contribution
€59,919
Consortium Size
12 orgs
Start Year
2023
Summary

The aim of the current project is to bring about the development of the full demonstrator of DiCiM, a set of integrated digital solutions that makes use of Internet of Things (IoT), Machine Learning (ML) based Artificial Intelligence (AI), Big Data, Image Processing and Augmented Reality (AR) to support different actors of the industrial value chain such as managers, engineers and operators in their decision making and to carry out value recovery activities for circular economy. The integrated digital solutions include an open access digital platform for lifecycle information management and support solutions for value recovery activities.DiCiM project revolves around the value use and value recovery phases of the Circular Value Model (CVM) with the specific data, technology and the management needed to support its implementation. In particular, it focuses on integrated digital solutions to enabling condition monitoring during the use phase, optimizing the reverse logistics, and achieving efficiency and responsiveness in the value recovery activities (i.e. collection, inspection, sorting, disassembly, testing and repairing/refurbishing/remanufacturing/recycling) to enable reuse of products, parts and materials.DiCiM project will demonstrate integrated digital solutions in four use cases in three industrial sectors that represent over two thirds of the European Economy. They include whitegoods (i.e. refrigerators, washing machines), electronics (i.e. printers) and automotive. With important gains such as increase in spare part recovery efficiency by 90% (which means 126 000 labour hours are saved for refrigerator demonstrator) and increase in spare part recovery rate by 20% (about 2920 tons net material saving for washing machines and 6000 tons for automotive).DiCiM digital solutions will boost new circular economy business models based on value recovery activities to sustain and encourage remanufacturing throughout Europe.

Consortium (12)

Project Results (21)

Source: CORDIS, the EU research results database.

Publications (15)
Towards an improved experimental joint identification in frequency-based substructuring
Mechanical Systems and Signal Processing· 2026DOI
Jure Korbar, Domen Ocepek, Miha Pogačar, Gregor Čepon
Towards Circular Manufacturing: A Framework for Developing and Implementing a Circular Transition Strategy
Proceedings of the 2025 REMADE® Circular Economy Technology Summit & Conference· 2026DOI
null null, Sayyed Shoaib-Ul-Hasan, Farazee M.A. Asif, Amir Rashid, Michael Lieder
A Reduction-Based Approach to Improving the Estimation Consistency of Partial Path Contributions in Operational Transfer-Path Analysis
Applied Mechanics· 2025DOI
Jan Senčič; Miha Pogačar; Domen Ocepek; Gregor Čepon
Development of a resource-efficient real-time vibration-based tool condition monitoring system using PVDF accelerometers
Measurement· 2025DOI
Miha Kodrič, Jure Korbar, Miha Pogačar, Gregor Čepon
Digital Solutions to Support Transition from Linear to Circular Manufacturing
· 2025DOI
Krčál, Michal; Shoaib-ul-Hasan, Sayyed; A. Asif, Farazee M.; Monashev, Mikhail
Dynamic substructuring-based identification of the rivet-squeezing force
Mechanical Systems and Signal Processing· 2025DOI
Tim Vrtač, Miha Kodrič, Miha Pogačar, Gregor Čepon
Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy
· 2025DOI
Lorenz, Mario
Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy
2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)· 2025DOI
Mario Lorenz, Martin Okoniewski, Arwa Own, Sebastian Knopp
Industrial Augmented Reality – Feasibility of AI-based Validation of AR Instructed Component Recovery for Washing Machines in Circular Economy
· 2025DOI
Lorenz, Mario
Industrial Augmented Reality – Feasibility of AI-based Validation of AR Instructed Component Recovery for Washing Machines in Circular Economy
2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)· 2025DOI
Arwa Own, Sebastian Knopp, Mario Lorenz
A hybrid modeling strategy for training data generation in machine learning-based structural health monitoring
Mechanical Systems and Signal Processing· 2024DOI
Tim Vrtač, Domen Ocepek, Martin Česnik, Gregor Čepon, Miha Boltežar
On the experimental coupling with continuous interfaces using frequency based substructuring
Mechanical Systems and Signal Processing· 2024DOI
Domen Ocepek, Francesco Trainotti, Gregor Čepon, Daniel J. Rixen, Miha Boltežar
Impact-Pose Estimation Using ArUco Markers in Structural Dynamics
Experimental Techniques· 2023DOI
Čepon, Gregor; Ocepek, Domen; Kodrič, Miha; Demšar, Matija; Bregar, Tomaž; Boltežar, Miha
Training artificial neural networks using substructuring techniques: Application to joint identification
Mechanical Systems and Signal Processing· 2023DOI
Jure Korbar, Domen Ocepek, Gregor Čepon, Miha Boltežar
Using Workshop-Based Elicitation of Business Requirements for Co-Creation: An Integrative Approach for Capturing Tacit Knowledge
· 2023DOI
Krčál, Michal; Monashev, Mikhail; ZareRavasan, Ahad
Deliverables (5)
Other Results (1)
Periodic Reporting for period 1 - DiCiM (Digitalised Value Management for Unlocking the potential of the Circular Manufacturing Systems with integrated digital solutions)