Project description
Industrial productivity through smart interoperability
Modern industrial production faces mounting challenges due to complex, fragmented, and rigid information systems that hinder efficiency and adaptability. As companies strive to remain competitive, seamless data exchange across production networks is essential for enhancing productivity and flexibility. However, the lack of standardised, autonomous interoperability solutions slows down operations and increases costs. In this context, the EU-funded Arrowhead fPVN project aims to double European industrial productivity by revolutionising information interoperability in production value networks. By leveraging microservices, widely accepted industrial data models, and automatic translation between them, the project will enable resilient, adaptive manufacturing. Validated in 11 use cases across key industries, its technology promises cost and time reductions in production network management.
Objective
The Ambition for Arrowhead fPVN project is Doubling of the European industrial productivity by applying transformative, autonomous and evolvable information interoperability for resilient and adaptive production value networks. Hence, the Arrowhead flexible Production Value Network (fPVN) project will provide autonomous and evolvable interoperability of information through machine-interpretable content for fPVN stakeholders. The resulting technology is projected to substantially impact manufacturing productivity and flexibility.
Autonomous and evolvable interoperability will be achieved through common project technology based on three pillars:
1. Microservices paradigm,
2. Utilization of major industrially accepted data models,
3. Automatic translation between the data models.
The common technology will be validated and verified in 11 use cases covering the production value networks in the following industrial production domains:
Semiconductor production,
Automotive services,
Aerospace services,
Green energy conversion, and
Process industry production.
The results are expected to considerably impact the efficiency of both local and global production value networks thanks to substantial cost and time reduction for setting up, operating, and managing the interactions within production value.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
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HORIZON-JU-IA - HORIZON JU Innovation ActionsCoordinator
971 87 Lulea
Sweden
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Participants (42)
00195 Roma
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Participation ended
167 51 Bromma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
16126 Genova
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95131 Catania
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0313 Oslo
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1065 BUDAPEST
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1039 Budapest
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4200-072 Porto
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1111 Budapest
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8500-794 Portimao
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2829-516 Caparica
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
9020 Klagenfurt
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8020 Graz
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8020 Graz
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9020 Klagenfurt am Wörthersee
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02860 Espoo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02150 Espoo
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02150 Espoo
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33100 Tampere
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02150 Espoo
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20014 San Sebastian
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
169 03 Solna
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791 80 Falun
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5230 Odense M
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8240 RISSKOV
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00101 00160 HELSINKI
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01620 Vantaa
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852 36 Sundsvall
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972 36 Lulea
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1364 Fornebu
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75015 PARIS 15
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112 47 Stockholm
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184 26 Akersberga
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
010158 Bucuresti
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
48930 Las Arenas
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33020 Amaro
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060042 Bucharest
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10129 Torino
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38122 Trento
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20009 San Sebastian
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4410 236 CANELAS VILA NOVA DE GAIA
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632 20 ESKILSTUNA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.