Artificial Intelligence for improved PROduction efFICIEncy, quality and maiNTenance
Akronym
AI-PROFICIENT
Bidragets beskrivning
The AI-PROFICIENT project will pave the way for integration of advanced AI technologies to manufacturing domain through an evolution from hierarchical and reactive decision making to self-learning and proactive control strategies. The proposed approach is underpinned by predictive and prescriptive AI analytics at both component and system level, by cross-fertilizing edge and platform AI, while leveraging the human knowledge and feedback for reinforcement learning (human-in-the-loop). AI-PROFICIENT aspires to bring advanced AI technologies to manufacturing and process industry, while improving the production planning and execution, and facilitating the collaboration between humans and machines. Taking the full advantage of AI capabilities and human knowledge, AI-PROFICIENT will develop proactive control strategies to improve the manufacturing process over three main vectors: production efficiency, quality and maintenance. AI-PROFICIENT will increase the positive impact of AI technology on the manufacturing process as a whole, while keeping the human in central position, assuming supervisory (human-on-the-loop) and executive (human-in-command) roles. AI-PROFICIENT intends to identify the effective means for human-machine interaction, while respecting the safety and security requirements and following the ethical principles, in order to enable: event identification and prediction, operation scenarios simulation, transparent decision and optimal control, and personalized shop-floor assistance. Such an approach will ensure that the ambitious, but realistic project targets, namely to improve production planning and execution, as well as to facilitate the human-machine collaboration, are achievable for the European manufacturing and process industry. The implementation of this novel concept will be based on the results of several recently finished European R&D projects, which will be demonstrated in two pilot sites, under different scenarios of significant economic value.
Visa merStartår
2020
Slutår
2023
Beviljade finansiering
INEOS MANUFACTURING BELGIUM BV (BE)
229 277.5 €
Third party
CONTINENTAL FRANCE SNC (FR)
495 000 €
Participant
INEOS SERVICES BELGIUM (BE)
240 195 €
Participant
UNIVERSITE DE LORRAINE (FR)
662 500 €
Coordinator
INOS HELLAS AE EFARMOGES PLIROFORIKIS AUTOMATISMOU ROMBO (EL)
355 100 €
Participant
INEOS MANUFACTURING DEUTSCHLAND GMBH (DE)
229 277.5 €
Third party
TENFORCE BVBA (BE)
668 500 €
Participant
IBERMATICA SA (ES)
453 687.5 €
Participant
ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS (EL)
496 750 €
Participant
INSTITUT MIHAJLO PUPIN (RS)
423 750 €
Participant
FUNDACION TEKNIKER (ES)
706 500 €
Participant
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS (FR)
67 500 €
Third party
Beviljat belopp
5 467 699 €
Finansiär
Europeiska unionen
Typ av finansiering
Research and Innovation action
Ramprogram
Horizon 2020 Framework Programme
Utlysning
Programdel
INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) (5239Tema
Artificial intelligence for manufacturing (ICT-38-2020Utlysnings ID
H2020-ICT-2020-1 Övriga uppgifter
Finansieringsbeslutets nummer
957391
Identifierade teman
computer science, information science, algorithms