Descrizione del progetto
Un assistente intelligente all’avanguardia al servizio della formazione nel settore manifatturiero
L’Europa sta attualmente facendo i conti con la carenza di personale qualificato in settori quali la produzione tessile. La soluzione a questo problema è la formazione efficace per potenziare le competenze del nuovo personale. Tuttavia, per molte aziende, i costi per svolgere sessioni di formazione risultano proibitivi. Il progetto COALA, finanziato dall’UE, progetterà e svilupperà un assistente digitale intelligente all’avanguardia per il settore manifatturiero, il cui nucleo centrale è costituito da «Mycroft», assistente vocale open-source, incentrato sulla privacy. Il progetto COALA integrerà, ad esempio, analisi di qualità migliorata, un meccanismo sperimentale per l’IA spiegabile nonché funzioni per l’assistenza durante la formazione professionale. Un processo di gestione dei cambiamenti incentrato sull’IA e linee guida per l’istruzione professionale dei lavoratori andranno a completare l’attività tecnica. Il progetto contribuirà a diminuire considerevolmente i costi dei guasti in produzione, riducendo il tempo necessario alla formazione del personale.
Obiettivo
Humans are at the center of knowledge-intensive manufacturing processes. They must be skilled and flexible to meet the requirements of their work environment. The training of new workers in these processes is time consuming and costly for companies. Industries, such as the Italian textile sector suffer from the shortage of skilled workers caused, e.g. by the demographic change. A second challenge for the manufacturing sector is the continuous competition through high quality products. COALA will address both challenges through the innovative design and development of a voice-first Digital Intelligent Assistant for the manufacturing sector. The COALA solution will base on the privacy-focused open assistant Mycroft. It integrates prescriptive quality analytics, AI system to support on-the-job training of new workers, and a novel explanation engine - the WHY engine. COALA will address AI ethics during design, deployment, and use of the new solution. Critical components for the adoption of the solution are a new didactic concept to reach workers about opportunities, challenges, and risks in human-AI collaboration, and a concurrent change management process. Three use cases (textile, white goods, liquid packaging) will evaluate the results in common manufacturing processes with significant economic relevance. COALA will contribute its results to the European AI community, e.g. via the AI4EU platform, and it will involve Digital Innovation Hubs to replicate its demonstrators for Europes first trustworthy digital assistant for the manufacturing industry. We expect to reduce the failure cost in manufacturing by 30-60% with the prescriptive quality analytics feature and the assisted worker training. For the change over time we expect a reduction of 15% to 30% by shortening the worker training time.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologymechanical engineeringmanufacturing engineering
- social scienceseconomics and businessbusiness and managementinnovation management
- social sciencessociologydemography
- engineering and technologymaterials engineeringtextiles
Parole chiave
Programma(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
28359 Bremen
Germania