Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs

Información del proyecto

AI REGIO

Identificador del acuerdo de subvención: 952003

DOI

10.3030/952003

Proyecto cerrado

Fecha de la firma de la CE 11 Junio 2020

Fecha de inicio 1 Octubre 2020

Fecha de finalización 30 Septiembre 2023

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coste total

€ 9 185 923,36

Aportación de la UE

€ 7 999 206,99

Coordinado por

POLITECNICO DI MILANO
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Other (17)

Data Sovereignty models and solutions V1

This prototype includes the reference implementations of Data Sovereignty principles in B2B Data Sharing Spaces

Data4AI Platform V2

The Industrial IoT and Industrial Data Management edge cloud platform will prepare data for AI developments and solutions

Data Sovereignty models and solutions V2

This prototype includes the reference implementations of Data Sovereignty principles in B2B Data Sharing Spaces

AI4Manufacturing Toolkit V2

The Toolkit to include AI innovative algorithms services and components some of them ready to be integrated in the AI4EU on demand platform

AI REGIO DIH Platform V2

The evolution of the DIHIWARE MIDIH I4MS phase III platforms towards the needs of AI DIHs

Industrial and Human data models ontologies V1

This prototype includes the models and the ontologies to model simulate and implement dynamic HumanAI interaction models

Data4AI Platform V1

The Industrial IoT and Industrial Data Management edge cloud platform will prepare data for AI developments and solutions

AI REGIO DIH Service Marketplace V1

The ICT platform for AI REGIO DIHs will be available in three evolutionary versions for AI REGIO for European and for Worldwide AI DIH networks

AI REGIO DIH Platform V1

The evolution of the DIHIWARE MIDIH I4MS phase III platforms towards the needs of AI DIHs

Four Motors and VANGUARD experiments Integrated Open Platform V2

This prototype includes the integration of the modules and the interfaces necessary for the AI REGIO experimentations

Four Motors and VANGUARD experiments Integrated Open Platform V1

This prototype includes the integration of the modules and the interfaces necessary for the AI REGIO experimentations

AI4Manufacturing Toolkit V1

The Toolkit to include AI innovative algorithms services and components some of them ready to be integrated in the AI4EU on demand platform

AI REGIO DIH Service Marketplace V3

The ICT platform for AI REGIO DIHs will be available in three evolutionary versions for AI REGIO for European and for Worldwide AI DIH networks

Data Quality and Cleansing for AI Applications V2

This prototype includes the tools for ensuring the requested high quality data to AI applications

AI REGIO DIH Service Marketplace V2

The ICT platform for AI REGIO DIHs will be available in three evolutionary versions for AI REGIO for European and for Worldwide AI DIH networks

Data Quality and Cleansing for AI Applications V1

This prototype includes the tools for ensuring the requested high quality data to AI applications

Industrial and Human data models ontologies V2

This prototype includes the models and the ontologies to model, simulate and implement dynamic Human-AI interaction models

Documents, reports (33)

AI REGIO DIHs Business and Governance V1

Analysis of available multistakeholder business models in strategic value chains Industrial IOT and AI will be discussed as well as options for governance

Open Call Package (2nd wave)

This deliverable contains in a public form all the information needed to participate in AI REGIO second wave if Open Calls open M18M21 active M24M30

AI REGIO Dissemination and Impact Awareness Action Plan V1

This report collects the AI REGIO Dissemination and Impact Awareness Action Plan

AI REGIO DIHs Business and Governance V2

Analysis of available multistakeholder business models in strategic value chains Industrial IOT and AI will be discussed as well as options for governance

Testing and Experimental Facilities Network V2

This report includes method to implement AI skills

AI REGIO Requirements Engineering Methodology V2

This report includes the revised methodology for requirements engineering and performance indicators assessment

AI REGIO Dissemination and Impact Awareness Action Plan V3

This report collects the AI REGIO Dissemination and Impact Awareness Action Plan

AI REGIO Dissemination and Impact Awareness Action Plan V2

This report collects the AI REGIO Dissemination and Impact Awareness Action Plan

Collaborative Intelligence and Industry 5.0 V2

This report drives all the developments of WP5 by providing the methodological and conceptual vision for HumanAI interaction in Industry 50

Service Portfolio and Customer Journeys V2

The report describes the extension of the DIHNET model and the customisation of AI DIH NETWORK customer journeys examples

AI REGIO Skills Catalogue and Jobs Certification program V1

This report includes AI REGIO Skills Catalogue and Jobs Certification program including the extension of the Industry 40 skills catalogue of I4MS and its customisation for the AI domain

Reference Architecture for AI DIH V1

Alignment between main Reference Architectures in the RAMI 4.0 domain, specialised for AI and human-centric Collaborative Intelligence.

AI REGIO AI DIH experiments AI Scenarios V1

This report includes the description of the business/innovation scenarios in the 13 VANGUARD regional DIHs and in the relevant 16 experiments, as well as the definition of as-is and expected to-be kPIs, including AI Ethical kPIs

Collaboration Scenarios for AI REGIO DIHs V1

This report includes implementation cases of the three high level AI DIH NETWORK collaboration scenarios

Open Call Package (1st wave)

This deliverable contains in a public form all the information needed to participate in AI REGIO first wave of Open Calls open M9M12 active M15M21

AI REGIO Requirements Engineering Methodology V1

This report includes the original methodology for requirements engineering and performance indicators assessment

Collaborative Intelligence and Industry 5.0 V1

This report drives all the developments of WP5 by providing the methodological and conceptual vision for Human-AI interaction in Industry 5.0

AI REGIO Communication material and web social presence V2

This document includes the communication material and web social presence report of AI REGIO

Legal, Regulatory and Ethical Framework V2

This report defines framework and code of conduct for AI REGIO and its regulatory sandboxes as well as for HF management

AI REGIO Skills Catalogue and Jobs Certification program V2

This report includes AI REGIO Skills Catalogue and Jobs Certification program including the extension of the Industry 40 skills catalogue of I4MS and its customisation for the AI domain

Testing and Experimental Facilities Network V1

This report includes method to implement AI skills

AI REGIO Communication material and web social presence V3

This document includes the communication material and web social presence report of AI REGIO

Reference Architecture for AI DIH V2

Alignment between main Reference Architectures in the RAMI 40 domain specialised for AI and humancentric Collaborative Intelligence

AI REGIO Pan-Eu and International cooperation Program V1

This report includes AI REGIO PanEu and International cooperation Programme including relationships with other VANGUARD regions and the World Manufacturing Forum

AI REGIO AI DIH experiments AI Scenarios V2

This report includes the description of the businessinnovation scenarios in the 13 VANGUARD regional DIHs and in the relevant 16 experiments as well as the definition of asis and expected tobe kPIs including AI Ethical kPIs

AI REGIO Pan-Eu and International cooperation Program V2

This report includes AI REGIO PanEu and International cooperation Programme including relationships with other VANGUARD regions and the World Manufacturing Forum

Service Portfolio and Customer Journeys V1

The report describes the extension of the DIHNET model and the customisation of AI DIH NETWORK customer journeys examples

Plan for Collaboration

Dedicated plan for liason and collaboration with other I4MS projects and Digital Innovation Hubs

Legal, Regulatory and Ethical Framework V1

This report defines framework and code of conduct for AI REGIO and its regulatory sandboxes as well as for HF management

Collaboration Scenarios for AI REGIO DIHs V2

This report includes implementation cases of the three high level AI DIH NETWORK collaboration scenarios

AI REGIO Communication material and web social presence V1

This document includes the communication material and web social presence report of AI REGIO

AI REGIO Experiments Plan V2

This report includes the progressplan at M24 of the iterations of AI REGIO experiments It also includes First Open Call winners experimentations reports in AI REGIO facilities

AI REGIO Experiments Plan V1

This report includes the plan of 1st iteration of AI REGIO experiments

Open Research Data Pilot (2)

Data Management Plan - Initial version

AI REGIO PROJECT will also implement a Data Management Plan. It will ensure that research data is findable, accessible, interoperable and reusable (FAIR)

Data Management Plan - Final version

Final version of Data management plan partial version Deliverable 117

Publicaciones

Conference proceedings (8)

A Stacking Ensemble Learning Model for Waste Prediction in Offset Printing

Autores: Alexandros S. Kalafatelis; Chris Trochoutsos; Anastasios E. Giannopoulos; Angelos Angelopoulos; Panagiotis Trakadas
Publicado en: ICIEA- EU 2023 The 10th International Conference on Industrial Engineering and Applications, Edición 1, 2023, ISBN 978-1-4503-9853-4
Editor: ACM Association for Computing Machinery
DOI: 10.1145/3587889.3588210

AI4Manufacturing Toolkit: la colección de tecnologías, herramientas y plataformas de inteligencia artificial del proyecto AI REGIO para la industria manufacturera[AI4Manufacturing Toolkit: the AI REGIO project’s collection of Artificial Intelligence]

Autores: Marta Galende & Anibal Reñones
Publicado en: Proceedings of the V Workshop on Disruptive Information and Communication Technologies for Innovation and Digital Transformation, Edición 1st Edition, 2022, Página(s) 43-52, ISBN 978-84-1311-741-6
Editor: Ediciones Universidad de Salamanca [Salamanca University Press]
DOI: 10.14201/0aq03374352

Semantic Interoperability of Digital Twins: Ontology-based Capability Checking in AAS Modeling Framework

Autores: Yining Huang; Saadia Dhouib; Luis Palacios Medinacelli; Jacques Malenfant
Publicado en: 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS), 2023, ISBN 979-8-3503-1125-9
Editor: IEEE
DOI: 10.1109/icps58381.2023.10128003

Deep Reinforcement Learning-based approach to dynamically balance Multi-Manned Assembly Lines

Autores: Santos, Romão Filipe; Marques, Catarina; Toscano, César; Ferreira, Hugo Miguel; Ribeiro, Joel
Publicado en: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems, Edición Volume 1, 2023, Página(s) 633-640, ISBN 978-3-031-38241-3
Editor: Springer, Cham
DOI: 10.1007/978-3-031-38241-3_71

Reinforcement Learning for Assembly Line Balancing Enhancement

Autores: César Toscano
Publicado en: Edición 1, 2023
Editor: Zenodo
DOI: 10.5281/zenodo.6573099

Enabling Semantic Interoperability of Asset Administration Shells Through an Ontology-based Modeling Method

Autores: Yining Huang, Saadia DHOUIB, Luis Palacios Medinacelli, Jacques Malenfant
Publicado en: MODELS '22: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, Edición Edition 2022, 2022
Editor: ACM Association for Computing Machinery
DOI: 10.1145/3550356.3561606

Asset Administration Shell as an interoperable enabler of Industry 4.0 software architectures a case study

Autores: Walter Quadrini, Chiara Cimino, Tasnim Mahmoud Mohamed Ahmed, Luca Fumagalli and Diego Rovere
Publicado en: ISM2022/Procedia Computer Science, Edición Volume 217, 2022, Página(s) 1794-1802
Editor: Elsevier
DOI: 10.1016/j.procs.2022.12.379

Detecting Anomalies with Autoencoders on Data Streams

Autores: Lucas Cazzonelli & Cedric Kulbach
Publicado en: Machine Learning and Knowledge Discovery in Databases, Edición Part 1, 2022, Página(s) 258-274, ISBN 978-3-031-26387-3
Editor: Springer, Cham
DOI: 10.1007/978-3-031-26387-3_16

Peer reviewed articles (3)

Semantic rules for capability matchmaking in the context of manufacturing system design and reconfiguration

Autores: Eeva Järvenpää, Niko Siltala, Otto Hylli, Hasse Nylund, Minna Lanz
Publicado en: International Journal of Computer Integrated Manufacturing, Edición Volume 36, 2022, Página(s) 128-154, ISSN 0951-192X
Editor: Taylor & Francis
DOI: 10.1080/0951192x.2022.2081361

A Bayesian based Intelligent Troubleshooting System

Autores: I Yung, Federico D’ambrosio, Alissa Zaccaria, Fabio Floreani
Publicado en: Procedia Computer Science, Edición Volume 200, 2022, Página(s) 602-610, ISSN 1877-0509
Editor: Elsevier
DOI: 10.1016/j.procs.2022.01.258

Managing B2B customer journeys in digital era: Four management activities with artificial intelligence-empowered tools

Autores: Sami Rusthollkarhu, Sebastian toukola, Leena Aarikka-Stenroos, Tommi Mahlamäki
Publicado en: Industrial Marketing Management, Edición Volume 104, 2022, Página(s) 241-257, ISSN 0019-8501
Editor: Elsevier BV
DOI: 10.1016/j.indmarman.2022.04.014

Thesis and dissertations (1)

Adaptive Automated Machine Learning

Autores: Kulbach, Cedric Peter Charles
Publicado en: 2023
Editor: Karlsruher Institut für Technologie (KIT)
DOI: 10.5445/ir/1000155322

Other (1)

AI REGIO project: AI4Manufacturing Toolkit taxonomies

Autores: Marta Galende; Anibal Reñones
Publicado en: Edición 1, 2023
Editor: Zenodo
DOI: 10.5281/zenodo.7092772