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EU funding (€8,340,511): Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a … Hor1 Jul 2020 EU Research and Innovation programme "Horizon"

Overview

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Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

The DIGITbrain project is deeply rooted in the innovation ecosystem of the I4MS project CloudiFacturing and the industrial platforms FIWARE and IDS, and it will build on these results, by means of extending the CloudiFacturing solution with an augmented digital-twin concept called “Digital Product Brain” (DPB) and a smart business model called “Manufacturing as a Service” (MaaS). By having access to on-demand data, models, algorithms, and resources for industrial products (i.e. mechatronic systems supporting the production of other products), the DBP will enable their customisation and adaptation according to individual conditions. The availability of industrial-product capacity will facilitate the implementation of MaaS, which will allow manufacturing SMEs to access advanced manufacturing facilities within their regions or to distribute their orders across different ones. The DIGITbrain project will address four principles that will foster the uptake of advanced digital and manufacturing technologies. A) Technology: leverage edge-, cloud- and HPC-based modelling, simulation, optimisation, analytics, and machine learning tools and augment the concept of digital twin with a memorizing capacity that records the provenance of the industrial product over its full lifecycle. B) Feasibility: support more than 20 highly innovative cross-border experiments, bringing together technology providers and manufacturing end users, and facilitating cost-effective distributed and localised production, based on on-demand manufacturing machine capacity. C) Sustainability: coach and empower DIHs to implement the smart business model MaaS and contribute to their long-term sustainability, by increasing their portfolio with services tailored to the industrial needs of their regions. D) Network of DIHs: engage DIHs across Europe that implement MaaS, enable manufacturing SMEs to co-create and experiment with digital innovations before investing, and attract national and regional funding.


Funded Companies:

Company name Funding amount
3D Medlab €74,769
Aarhus Universitet €445,625
Agro Intelligence ApS €64,488
Atos Information Technology GmbH €246,279
Caadex kft. €24,150
Centro Di Competenza Per LA Sicurezza E L'Ottimizzazione Delle Infrastrutture Strategiche Start 4.0 €200,750
Clesgo GmbH €208,731
Cloudsme UG €320,163
Consenses GmbH €167,016
Croom Precision Tooling Ltd. €60,113
Deutsches Forschungszentrum FUR Kunstliche Intelligenz GmbH €385,763
Domina Srl €22,641
DSS Consulting Informatikai ES Tanacsado Zartkoru Reszvenytarsasag €29,488
Enide Solutions .SL €203,744
Eviden Germany GmbH €70,677
Fratelli Piacenza S.p.A. €42,613
Fraunhofer Gesellschaft ZUR Forderung DER Angewandten Forschung e. V. €569,678
Fundacion Corporacion Tecnologica de Andalucia €1,523,000
Gigant Italia Srl €42,175
HUN-REN Szamitastechnikai ES Automatizalasi Kutatointezet €250,500
Innomine Digital Innovation Hub Nonprofit kft. €175,375
Instituto Tecnologico de Aragon €366,375
Inyecciones Montanana SA €20,038
Irish Manufacturing Research CLG €372,389
Montimage Eurl €63,613
Nxtcontrol GmbH €39,988
Pno Innovation SL €0.00
PNO Innovation Srl €303,275
Porini International Lda. €38,238
Prirodno-Matematicki Fakultet Kragujevac €14,625.00
Scuola Universitaria Professionale Della Svizzera Italiana €432,750
Stam Srl €168,963
Stichting EGI €279,500
Tampereen Korkeakoulusaatio sr €229,625
The University of Nottingham €215,065
The University of Westminster LBG €394,500
TTS Technology Transfer Systems Srl €244,213
Universitatea Lucian Blaga Din Sibiu €29,625

Source: https://cordis.europa.eu/project/id/952071

The filing refers to a past date, and does not necessarily reflect the current state.