Optimizing Production and Logistic Resources in the Time-critical Bio Production Industries in Europe

Informazioni relative al progetto

CLARUS

ID dell’accordo di sovvenzione: 101070076

DOI

10.3030/101070076

Progetto chiuso

Data della firma CE 13 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 30 Novembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 3 423 230,75

Contributo UE

€ 2 999 105,75

Coordinato da

POLITECNICO DI MILANO
Italy

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 (7)

Report on Exploitation and Sustainability Strategy M12

Description of the Exploitation actions at M12.

Project Management Handbook

This report will provide guidelines to be followed by all partners in different managerial aspects

Green Deal KPIs

Description of the requirements, Impact and KPIs for Green Deal project

Integration and Data Engineering Report

This deliverable describes the data model and its integration into CLARUS Solution.

CLARUS Data Approach

This deliverable describes the Clarus Data Approach defined in T3.1

Quality, Risk and Data Management Plan M18

This report describes how data will be handled throughout the project. And how quality assurance and risk management will be implemented at M18.

Quality, Risk and Data Management Plan M06

This report describes how data will be handled throughout the project. And how quality assurance and risk management will be implemented at M06.

Pubblicazioni

Conference proceedings (10)

CLARUS MLOps: Boosting Collaboration in Manufacturing Data Value Chains

Autori: Aitor Agirre, Ana Adell, Blanca Kremer, Francisco Fraile
Pubblicato in: CLARUS MLOps: Boosting Collaboration in Manufacturing Data Value Chains
Editore: Sun SITE Central Europe
DOI: 10.5281/ZENODO.18433711

The Ethical Strategy, Challenges and Requirements relevant to the data-driven and AI-empowered CLARUS platform towards the Green Transition in the food industry

Autori: Marina Da Bormida in Cugurra, Mohamed H. Sharkawy
Pubblicato in: 12h International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024), 2024, ISSN 1613-0073
Editore: Sun SITE Central Europe
DOI: 10.5281/ZENODO.18433570

Comparative Analysis of Survival Models for Assessing Risk of Failure in Electrical Installations in the Time-Critical Bio-Production Sector

Autori: Alberto Llopis, Francisco Fraile
Pubblicato in: 17th International Conference on Industrial Engineering and Industrial Management, 2023
Editore: IEEE

A methodology to integrate Artificial Intelligence with energy and water Management Systems to improve sustainability

Autori: Ángel Ortiz, Miguel Ángel Gil, Francisco Fraile
Pubblicato in: 2024
Editore: CEUR
DOI: 10.5281/ZENODO.18433846

Development of the Green Deal Performance Assessment Methodology (GDPA) for food manufacturing

Autori: Roberto Rocca, Elisa Amodeo, Gabriella Monteleone and Mohamed H. Sharkawy1
Pubblicato in: ISSN 1613-0073
Editore: Sun SITE Central Europe
DOI: 10.5281/ZENODO.18433803

Data, Data Sharing and Data Spaces: opening new business opportunities

Autori: Elisa Rossi, Antonio Caruso, Mariarosaria Russo, Gert Breitfuss and Roberto Rocca
Pubblicato in: 2024
Editore: Sun SITE Central Europe

A Comparative Analysis of AI Models for Transit Time Prediction in Transportation Systems

Autori: Tuan Vu, Ali Jedari Heidarzadeh, Seyedamir Ahmadi, Wael M. Mohammed, Mika Tuomola, Jose Luis Martinez Lastra
Pubblicato in: 12h International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024), 2024, ISSN 1613-0073
Editore: Sun SITE Central Europe

A Comparative Analysis of Time Series Prediction Models for Energy Consumption in Primary Food Processing

Autori: Ludovica Miele, Alberto Llopis, Carlos Baviera, Francisco Fraile
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025
Editore: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106668

Use Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services

Autori: Breitfuss, Gert, Santa-Maria, Tomas, Fruhwirth, Michael, Disch, Leonie
Pubblicato in: 56th Hawaii International Conference on System Sciences, 2023
Editore: University of Hawaiʻi at Mānoa

Integration of Artificial Intelligence in Manufacturing Companies for Achieving Zero Waste – A Systematic Literature Review

Autori: Ludovica Miele, Francisco Fraile, Ana Esteso, Roberto Rocca
Pubblicato in: IFIP Advances in Information and Communication Technology, Navigating Unpredictability: Collaborative Networks in Non-linear Worlds, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-71743-7_14

Peer reviewed articles (4)

Development and Comparison of Local Solar Split Models on the Example of Central Europe

Autori: Elke Schlager, Gerald Feichtinger, Heimo Gursch
Pubblicato in: Energy and AI, Numero Volume 12, 2023, ISSN 2666-5468
Editore: Elsevier
DOI: 10.1016/j.egyai.2022.100226

Circular Data Service Cards: A Card-Based Ideation Tool For Data Services Supporting The Twin Transition

Autori: Gert Breitfuss; Lilia Yang; Viktoria Pammer-Schindler; Leonie Disch
Pubblicato in: Procedia Computer Science, 2023, ISSN 2666-5468
Editore: Elsevier
DOI: 10.1016/J.PROCS.2025.01.150

Digital assets in zero-defect manufacturing: literature review and proposed framework

Autori: Miguel Angel Mateo-Casali, Andrés Boza, Francisco Fraile
Pubblicato in: International Journal of Production Research, 2025, ISSN 0020-7543
Editore: Informa UK Limited
DOI: 10.1080/00207543.2025.2563746

Enabling Technologies to Support Supply Chain Logistics 5.0

Autori: Beatriz Andres, Manuel Díaz-Madroñero, Antonio Lucas Soares, Raul Poler
Pubblicato in: IEEE Access, Numero Volume 12, 2024, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3374194