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

Digital, Industry & SpaceHORIZON-IAID: 101070076
EC Contribution
€29,991
Consortium Size
10 orgs
Start Year
2022
Summary

The CLARUS project aims to connect the Sustainable Paradigm in the food industry and AI-based applications, with the goal of developing a platform with high communications and processing capabilities, as well as the use of standardized open protocols and data models that will allow resource consumption assessment and traceability for food industry processes.The project will be submitted under the call HE-CL4-DIGITAL-EMERGING-01-09: AI, Data and Robotics for the Green Deal and will target the non-robotic outcome. Currently, two pilots have been selected for validating the CLARUS solution. The first pilot focuses on the production of the frozen food, where energy and water consumption can be reduced using AI and data technologies. The other pilot focuses on the meat by-product production where the aim is to reduce the energy and maintain the quality of the products by optimizing the logistics of the by-products arrival. CLARUS ambitions include not only contributing to resource and logistic optimization methods through the two pilot solutions, but also making a more general contribution through the creation of a Green Deal Index (GDI).

Consortium (10)

Project Results (21)

Source: CORDIS, the EU research results database.

Publications (13)
A Comparative Analysis of Time Series Prediction Models for Energy Consumption in Primary Food Processing
2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)· 2025DOI
Ludovica Miele, Alberto Llopis, Carlos Baviera, Francisco Fraile
Digital assets in zero-defect manufacturing: literature review and proposed framework
International Journal of Production Research· 2025DOI
Miguel Angel Mateo-Casali, Andrés Boza, Francisco Fraile
A Comparative Analysis of AI Models for Transit Time Prediction in Transportation Systems
12h International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024)· 2024
Tuan Vu, Ali Jedari Heidarzadeh, Seyedamir Ahmadi, Wael M. Mohammed, Mika Tuomola, Jose Luis Martinez Lastra
A methodology to integrate Artificial Intelligence with energy and water Management Systems to improve sustainability
· 2024DOI
Ángel Ortiz, Miguel Ángel Gil, Francisco Fraile
Data, Data Sharing and Data Spaces: opening new business opportunities
· 2024
Elisa Rossi, Antonio Caruso, Mariarosaria Russo, Gert Breitfuss and Roberto Rocca
Enabling Technologies to Support Supply Chain Logistics 5.0
IEEE Access· 2024DOI
Beatriz Andres, Manuel Díaz-Madroñero, Antonio Lucas Soares, Raul Poler
Integration of Artificial Intelligence in Manufacturing Companies for Achieving Zero Waste – A Systematic Literature Review
IFIP Advances in Information and Communication Technology, Navigating Unpredictability: Collaborative Networks in Non-linear Worlds· 2024DOI
Ludovica Miele, Francisco Fraile, Ana Esteso, Roberto Rocca
The Ethical Strategy, Challenges and Requirements relevant to the data-driven and AI-empowered CLARUS platform towards the Green Transition in the food industry
12h International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024)· 2024DOI
Marina Da Bormida in Cugurra, Mohamed H. Sharkawy
Circular Data Service Cards: A Card-Based Ideation Tool For Data Services Supporting The Twin Transition
Procedia Computer Science· 2023DOI
Gert Breitfuss; Lilia Yang; Viktoria Pammer-Schindler; Leonie Disch
Development and Comparison of Local Solar Split Models on the Example of Central Europe
Energy and AI· 2023DOI
Elke Schlager, Gerald Feichtinger, Heimo Gursch
Use Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services
56th Hawaii International Conference on System Sciences· 2023
Breitfuss, Gert, Santa-Maria, Tomas, Fruhwirth, Michael, Disch, Leonie
CLARUS MLOps: Boosting Collaboration in Manufacturing Data Value Chains
CLARUS MLOps: Boosting Collaboration in Manufacturing Data Value ChainsDOI
Aitor Agirre, Ana Adell, Blanca Kremer, Francisco Fraile
Development of the Green Deal Performance Assessment Methodology (GDPA) for food manufacturing
Roberto Rocca, Elisa Amodeo, Gabriella Monteleone and Mohamed H. Sharkawy1
Deliverables (7)
Other Results (1)
Periodic Reporting for period 1 - CLARUS (Optimizing Production and Logistic Resources in the Time-critical Bio Production Industries in Europe)