Project description
Artificial intelligence for sustainable European industries
Existing supply chains are susceptible to vulnerabilities, underscoring the need for shorter supply chains and retaining production within Europe. AI-powered factories could enhance sustainability and competitiveness. The transition from Industry 4.0 to Industry 5.0 can be facilitated by harnessing innovative technologies such as the Internet of Things, semantic web ontologies, machine learning and artificial intelligence. This transition will improve working conditions and ecofriendly manufacturing in European industries, ultimately bolstering sustainability and resilience. The EU-funded AIMS5.0 project seeks to fortify European digital sovereignty through the implementation of AI-enabled hardware and software components throughout the entire industrial value chain. AIMS5.0’s goals include reducing manufacturing costs, improving product quality, shortening time-to-market and increasing user acceptance of technological offerings, for enhanced production efficiency and sustainability.
Objective
AIMS5.0 a collaborative Innovation Action aims at strengthening European digital sovereignty in comprehensively sustainable production, by adopting, extending and implementing AI-enabled hardware and software components and systems across the whole industrial value chain to further increase the overall efficiency.
Vulnerability of existing supply chains in crisis shows the need for shorter supply chains and for keeping production in Europe. AI enabled fabs will be given more output and higher sustainability, which makes them more competitive on a global scale. New technologies from IoT and based on semantic web ontologies, ML and AI will help to enable the transformation from Industry4.0 to Industry5.0 to create human-centric workplace conditions and to enable the transformation of European industry to climate-friendly production. Above all, sustainability and resilience will be improved.
In essence, AIMS5.0 will deliver:
- AI-enabled electronic hardware components & systems for sustainable production
- AI tools, methods & algorithms for sustainable industrial processes
- SoS-based architectures & micro-services for AI-supported sustainable production
- Semantic modelling & data integration for an open access productive sustainability platform
- Acceptance, trust & ethics for explainable industrial AI leading to human-centered sustainable manufacturing
20 use cases in 9 industrial domains resulting in high TRLs will validate the project’s findings in an interdisciplinary manner. A professional dissemination, communication, exploitation and standardisation will ensure the highest impact possible.
For the first time a joint approach for implementing AI and AI-enabled hardware will be developed that overarches different industrial domains.
AIMS5.0 will result in lower manufacturing costs, increased product quality through AI-enabled innovation, decreased time-to-market and increased user acceptance of versatile technology offerings. They will foster a sustainable development, in an economical, ecological and societal sense and act as enablers for the Green Deal and push the industry towards Industry5.0.
The innovations will leverage the experience of the 53 partners, such as renowned OEMs, Tier-1 and Tier-2 suppliers, technology and application large enterprises and SMEs, supported by academic research specialists in fields like AI, industrial hard-ware and software, decision making and management algorithms.
Specific outcomes of the project are
- 20% faster time to market,
- Participation of disabled people in the factory environment > 5% (in relation to the total number of employees employed in production),
- AI based MES capability > 10 %,
- Increased user awareness and trust by 10%,
- Subsequent reduction of environmental footprint for wafer transport, handling and storage > 20 %,
- 50% reduction of time for monitoring industrial equipment.
AIMS5.0 is a pan-European initiative to boost industrial competitiveness through interdisciplinary innovations, establishing sustainable ECS value chains and therefore contribute to European Digital Sovereignty addressing urgent issues like Security of Supply, Monitoring and Crisis Response, and Chip Shortage.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
HORIZON-JU-IA - HORIZON JU Innovation ActionsCoordinator
85579 Neubiberg
Germany
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Participants (54)
82024 Taufkirchen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80809 Munchen
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93342 Saal An Der Donau
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
01109 Dresden
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
58097 Hagen
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80686 Munchen
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18435 Stralsund
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02763 Zittau
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01099 Dresden
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01099 Dresden
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
01069 Dresden
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23562 Lubeck
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1210 Wien
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9020 Klagenfurt am Wörthersee
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
9500 Villach
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9524 Villach St Magdalen
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7400 Oberwart
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5020 Salzburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1040 Wien
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1040 Wien
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8010 Graz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1020 Wien
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20820 Deba
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
20009 San Sebastian Guipuzcoa
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20870 Elgoibar
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20570 Bergara
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20018 Donostia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28040 Madrid
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74000 Annecy
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70013 Irakleio
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92190 MEUDON
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176 71 Athina
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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.
1111 Budapest
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67051 Avezzano Aq
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35122 Padova
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35043 Monselice
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1006 Riga
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5656AG Eindhoven
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5656 AG Eindhoven
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9712CP Groningen
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5653 PX Eindhoven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5656 AE Eindhoven
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5612 AE Eindhoven
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80-394 Gdansk
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80-233 GDANSK
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561 82 Husqvarna
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971 87 Lulea
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753 20 Uppsala
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
106 40 Stockholm
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34730 Istanbul
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
06100 Ankara
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30419 Hannover
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.