Artificial Intelligence and Big Data CSA for Process Industry Users, Business Development and Exploitation

Informations projet

AI-CUBE

N° de convention de subvention: 958402

DOI

10.3030/958402

Projet clôturé

Date de signature de la CE 6 Juillet 2020

Date de début 1 Septembre 2020

Date de fin 28 Février 2023

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Coût total

€ 597 806,25

Contribution de l’UE

€ 597 806,25

Coordonné par

PNO INNOVATION SRL
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Open Research Data Pilot (1)

Data management Plan – DMP

Data management Plan

Documents, reports (14)

AI & BD technologies state-of-the-art review

Report describing the current status of AI and BD technologies and their application degree in industrial environments

Dissemination Plan

Report on the dissemination strategy and plan.

Review and update of the identified macro applications areas plan

Review and update of the proposed plan for the consolidated macro applications areas in process industry

AI-CUBE roadmap

Report gathering the results of D42 translated into a roadmap serving as a guideline in the implementation of AI and BD technologies tailored to all the SPIRE sectors

Gaps and opportunities analysis - recommendations and business models

Report analysis of the current situation of the SPIRE industry its implemented AI and BD technologies and degree of penetration and the main existing business models in use in order to highlight opportunities and challenges regarding the implementation of new datadriven technologies and the impact on new business models

Sectorial analysis of industrial processes in Europe

Report summarising the most relevant industrial processes per process industry sector in Europe highlighting major challenges where AI and BD could play a relevant role

Project Management Plan
A - Report on Dissemination, Communication & Exploitation activities

Report on AI-Cube dissemination, communication and exploitation and reports the related activities conducted until month 12.

Report on the assessment of impact

Report on the development of a system for assessing impact of AIBD as developed in T23

Quality Management Plan
New paths of collaboration for ELSI

Report on the revision of the ethical legal and social implications of AI and BD developments

Framework for AI & BD maturity level assessment

Description of the framework for the maturity assessment developed in T2.2.

B - Report on Dissemination, Communication & Exploitation activities

Report on AICube dissemination communication and exploitation and reports the related activities conducted until month 30

Report on implemented collaboration mechanisms

Detailed summary of all initiatives put in place with stakeholders minutes of the meetings interviews etc as from T21

Websites, patent fillings, videos etc. (1)

Website and AI-CUBE dissemination and exploitation platform

Online launch of the website and AI-CUBE dissemination and exploitation platform

Demonstrators, pilots, prototypes (1)

Business Model Game development

Development of a Business Model Game including the design of the tool strategy and rules.

Publications

Book chapters (1)

AI and BD in Process Industry: A Literature Review with an Operational Perspective

Auteurs: Rosanna Fornasiero, David F. Nettleton, Lorenz Kiebler, Alicia Martinez de Yuso, Chiara Eleonora De Marco
Publié dans: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part V, Numéro 634, 2021, Page(s) 576-585, ISBN 978-3-030-85913-8
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-85914-5_61

Peer reviewed articles (1)

Developing a maturity-based workflow for the implementation of ML - applications using the example of a demand forecast

Auteurs: Schreckenberg, F., & Moroff, N. U.
Publié dans: Procedia Manufacturing, Numéro Volume 55, 2021, Page(s) 31-38, ISSN 2351-9789
Éditeur: Elsevier
DOI: 10.1016/j.promfg.2021.07.006

Conference proceedings (1)

Preliminary analysis on data quality for ML applications

Auteurs: Kiebler, Lorenz Moroff, Nikolas Jacobsen, Jens Jakob
Publié dans: Hamburg International Conference of Logistics (HICL) 2022, Numéro 33, 2022, ISBN 978-3-756541-95-9
Éditeur: epubli
DOI: 10.15480/882.4693