Description du projet
Une formation pour une industrie manufacturière européenne compétitive
La mondialisation croissante de l’industrie manufacturière, les nouvelles technologies, l’automatisation et l’IA ont transformé les exigences des marchés du travail. Avec un taux d’automatisation escompté dans le travail physique estimé à 33 %, à 22 % dans la collecte de données et à 11 % dans le traitement des données, l’Europe doit de toute urgence faire face aux difficultés actuelles pour répondre à ses besoins futurs en matière de compétences et assurer sa compétitivité. Le projet FIT4FoF, financé par l’UE, a pour but d’aider la main-d’œuvre européenne à acquérir des compétences adaptées aux usines du futur. Il analysera les besoins actuels des travailleurs et les tendances technologiques dans six domaines industriels, dont la robotique, la fabrication additive et l’analyse des données, afin d’informer et de promouvoir de nouvelles exigences en matière d’éducation et de formation dans les régions européennes.
Objectif
Increased introduction of digital technologies into manufacturing is leading to increased automation. Estimates indicate that the potential for automation in predictable physical work is at 33% followed by 22% in data collection and 11% in data processing. The increased globalisation in manufacturing also introduces requirements in terms of team work, intercultural and language capabilities, the need to deal with shorter production cycles, and changes in demographics requiring workers to stay active for longer. Europe faces considerable challenges in addressing future skills needs. From the perspective of the workforce the issues are increasingly complex where current training and educational solutions are discrete and lack interconnections and are largely dissociated from work activities. Growing gaps in knowledge and know-how make it increasingly challenging to adapt, work proactively and contribute to innovations. FIT4FoF aims at addressing a range of these issues by analysing current skills initiatives, better to understand how to address workers' needs, analysing technology trends across 6 industrial areas of robotics, additive manufacturing, mechatronics/machine automation, data analytics, cybersecurity and human machine interaction, to define new job profiles, which will inform education and training requirements. FIT4FoF will develop a new education and training framework, which places workers (women and men) at the centre of a co-design and development process that recognises and addresses their skills needs. By applying educational approaches based on Communities of Practice, FIT4FoF will empower workers to be drivers of the design, development and delivery of their own upskilling programmes. FIT4FoF will develop Alliances of Communities of Practice to broaden the approach across Europe, creating replication strategies enabling educational/training design and development practices to be transferred between regional communities across Europe.
Champ scientifique
- social sciencessociologyindustrial relationsautomation
- social scienceseconomics and businessbusiness and managementemployment
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
- social sciencessociologyglobalization
- natural sciencescomputer and information sciencesdata sciencedata processing
Programme(s)
Régime de financement
CSA - Coordination and support actionCoordinateur
T12 P928 Cork
Irlande