Digital twins bringing agility and innovation to manufacturing SMEs by empoweri...
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 sol...
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31/12/2023
CIAOTECH
9M€
Presupuesto del proyecto: 9M€
Líder del proyecto
CIAOTECH Srl
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Fecha límite participación
Sin fecha límite de participación.
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Información proyecto DIGITbrain
Duración del proyecto: 41 meses
Fecha Inicio: 2020-07-02
Fecha Fin: 2023-12-31
Líder del proyecto
CIAOTECH Srl
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
9M€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
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.