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

Informazioni relative al progetto

DiCiM

ID dell’accordo di sovvenzione: 101091536

DOI

10.3030/101091536

Data della firma CE 14 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 5 991 891,25

Contributo UE

€ 5 991 891,25

Coordinato da

Masarykova univerzita
Czechia

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (3)

Dissemination and communication plan and periodic D&C progress reports

It will include a detailed dissemination plan of, what to disseminate and to whom, which channels and methods to be used, and finally at what time. It will also include a method of updating the dissemination plan, as in 4 years the audiences may change and new dissemination channels may emerge. 2 periodic D&C progress reports will be created in M 12 and 24 for the consortium’s internal use. The updates will list the carried out as well as the upcoming dissemination activities in different channels. The results of the carried out activities and the expected results of the activities will also be listed. Any change in the dissemination and communication plan will be updated and documented in the report.

Baseline report on key technology features for support solutions

This report will outline a baseline of industry best practices in technologies (i.e. IoT for tracing, tracking and condition monitoring, ML for decision making, image processing and AR for value recovery) implemented for industrial value recovery processes in general and their adaptability for industrial sectors targeted in DiCiM. In doing so, the report will also compile the existing knowledge and experience of the demonstrators and technology providers to understand the current state and outline the desired state for the technology implementation.

Legal requirement specifications report

For the DiCiM developments, this report will compile the relevant legal issues and framework in the context of the European Union and at the national levels where the demonstrators will be operated.Since the project aims to bring forward several novel developments, the legal implication of such a new approach (developments) needs to be studied to take a proactive approach. The report will compile legal implications on open access data platform, collecting data from products (for condition monitoring and location tracing), harvesting components from the used products, access to the products (bring it back when the OEMs need it), sharing data across the value chain and making the data public (where the OEMs are not the primary owner of the data) etc.

Data Management Plan (1)

Initial data management plan

This report will outline the plan for setting up open access repository for data and publications in the project. DMP will include information on the handling of research data during & after the end of the project, what data will be collected, processed, and generated, which methodology & standards will be applied, whether data will be shared/made open access and how data will be curated & preserved (including after the end of the project). To follow open access commitment described in section 1.2.6, according to Plan S (initiative concerning scientific publications launched by Science Europe) and the FAIR principles (findable, accessible, interoperable, and reusable) of open access publishing as the Commission requests.

Websites, patent fillings, videos etc. (1)

Visual identity and website

This deliverable is a project website for external communication accompanied by a report. The website is available online and fully operational. The report will describe the functionality of the website, logo, visual identity of the communication material and guidelines for the standard templates etc.

Pubblicazioni

Conference proceedings (7)

Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy

Autori: Lorenz, Mario
Pubblicato in: 2025
Editore: IEEE
DOI: 10.5281/ZENODO.15396346

Towards Circular Manufacturing: A Framework for Developing and Implementing a Circular Transition Strategy

Autori: null null, Sayyed Shoaib-Ul-Hasan, Farazee M.A. Asif, Amir Rashid, Michael Lieder
Pubblicato in: Proceedings of the 2025 REMADE® Circular Economy Technology Summit & Conference, 2026
Editore: REMADE Institute
DOI: 10.65569/PREH6323

Industrial Augmented Reality – Feasibility of AI-based Validation of AR Instructed Component Recovery for Washing Machines in Circular Economy

Autori: Lorenz, Mario
Pubblicato in: 2025
Editore: IEEE
DOI: 10.5281/ZENODO.15396221

Industrial Augmented Reality – Feasibility of AI-based Validation of AR Instructed Component Recovery for Washing Machines in Circular Economy

Autori: Arwa Own, Sebastian Knopp, Mario Lorenz
Pubblicato in: 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2025
Editore: IEEE
DOI: 10.1109/VRW66409.2025.00337

Digital Solutions to Support Transition from Linear to Circular Manufacturing

Autori: Krčál, Michal; Shoaib-ul-Hasan, Sayyed; A. Asif, Farazee M.; Monashev, Mikhail
Pubblicato in: 2025, ISSN 2280-787X
Editore: IFKAD
DOI: 10.5281/ZENODO.17305760

Industrial Augmented Reality – Concept for an AR-AI-Station for Component Recovery from Washing Machines for Circular Economy

Autori: Mario Lorenz, Martin Okoniewski, Arwa Own, Sebastian Knopp
Pubblicato in: 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2025
Editore: IEEE
DOI: 10.1109/VRW66409.2025.00338

Using Workshop-Based Elicitation of Business Requirements for Co-Creation: An Integrative Approach for Capturing Tacit Knowledge

Autori: Krčál, Michal; Monashev, Mikhail; ZareRavasan, Ahad
Pubblicato in: 2023, ISSN 2280-787X
Editore: IFKAD
DOI: 10.5281/ZENODO.17376596

Peer reviewed articles (8)

Impact-Pose Estimation Using ArUco Markers in Structural Dynamics

Autori: Čepon, Gregor; Ocepek, Domen; Kodrič, Miha; Demšar, Matija; Bregar, Tomaž; Boltežar, Miha
Pubblicato in: Experimental Techniques, 2023, ISSN 1747-1567
Editore: Springer
DOI: 10.1007/S40799-023-00646-0

Dynamic substructuring-based identification of the rivet-squeezing force

Autori: Tim Vrtač, Miha Kodrič, Miha Pogačar, Gregor Čepon
Pubblicato in: Mechanical Systems and Signal Processing, Numero 229, 2025, ISSN 0888-3270
Editore: Elsevier BV
DOI: 10.1016/J.YMSSP.2025.112487

On the experimental coupling with continuous interfaces using frequency based substructuring

Autori: Domen Ocepek, Francesco Trainotti, Gregor Čepon, Daniel J. Rixen, Miha Boltežar
Pubblicato in: Mechanical Systems and Signal Processing, Numero 111517, 2024, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2024.111517

A Reduction-Based Approach to Improving the Estimation Consistency of Partial Path Contributions in Operational Transfer-Path Analysis

Autori: Jan Senčič; Miha Pogačar; Domen Ocepek; Gregor Čepon
Pubblicato in: Applied Mechanics, 2025, ISSN 2673-3161
Editore: MDPI
DOI: 10.3390/APPLMECH6010013

Training artificial neural networks using substructuring techniques: Application to joint identification

Autori: Jure Korbar, Domen Ocepek, Gregor Čepon, Miha Boltežar
Pubblicato in: Mechanical Systems and Signal Processing, Numero 110426, 2023, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2023.110426

Towards an improved experimental joint identification in frequency-based substructuring

Autori: Jure Korbar, Domen Ocepek, Miha Pogačar, Gregor Čepon
Pubblicato in: Mechanical Systems and Signal Processing, Numero 238, 2026, ISSN 0888-3270
Editore: Elsevier BV
DOI: 10.1016/J.YMSSP.2025.113115

Development of a resource-efficient real-time vibration-based tool condition monitoring system using PVDF accelerometers

Autori: Miha Kodrič, Jure Korbar, Miha Pogačar, Gregor Čepon
Pubblicato in: Measurement, Numero 251, 2025, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/J.MEASUREMENT.2025.117183

A hybrid modeling strategy for training data generation in machine learning-based structural health monitoring

Autori: Tim Vrtač, Domen Ocepek, Martin Česnik, Gregor Čepon, Miha Boltežar
Pubblicato in: Mechanical Systems and Signal Processing, Numero 110937, 2024, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2023.110937