The thesis provides an in-depth analysis of Industry 5.0's human-centric approach to manufacturing, exploring its alignment with contemporary industry through practical experiences in a learning factory. It delves into the transition from Industry 4.0 to 5.0, highlighting the integration of human insights with advanced technologies like AI and automation. The research was conducted within the MADE competence center at Politecnico di Milano, employs the Constructive Alignment framework to ensure a direct linkage between learning activities and outcomes, facilitating a departure from traditional lecture-based teaching towards practical, experiential learning in a simulated industrial environment. This approach offers insights into workers' adaptability to novel tasks and their interactions with emerging technologies. By focusing on the core values of safety, inclusivity, and empowerment, the study assesses the industry's response to a human-centric manufacturing paradigm. This research, part of the European Project DE4Human, seeks to underscore the transformative potential of Industry 5.0 in making industrial practices more adaptive, flexible, and focused on enhancing human collaboration and teamwork, thereby driving significant advancements in manufacturing systems' resilience and efficiency.
La tesi offre un'analisi approfondita dell'approccio centrato sull'uomo dell'Industria 5.0 nella manifattura, esplorando il suo allineamento con l'industria contemporanea attraverso esperienze pratiche in una fabbrica didattica. Esamina la transizione dall'Industria 4.0 alla 5.0, evidenziando l'integrazione di intuizioni umane con tecnologie avanzate come l'IA e l'automazione. La ricerca, condotta presso il centro di competenza MADE del Politecnico di Milano, utilizza il framework di Constructive Alignment per assicurare un collegamento diretto tra le attività di apprendimento e i risultati, facilitando un distacco dall'insegnamento tradizionale basato su lezioni verso un apprendimento pratico ed esperienziale in un ambiente industriale simulato. Questo approccio offre spunti sull'adattabilità dei lavoratori a compiti nuovi e le loro interazioni con le tecnologie emergenti. Concentrandosi sui valori fondamentali di sicurezza, inclusività ed empowerment, lo studio valuta la risposta dell'industria a un paradigma di manifattura centrato sull'uomo. Questa ricerca, parte del Progetto Europeo DE4Human, cerca di sottolineare il potenziale trasformativo dell'Industria 5.0 nel rendere le pratiche industriali più adattive, flessibili e incentrate sul miglioramento della collaborazione e del lavoro di squadra tra uomini, guidando così avanzamenti significativi nella resilienza ed efficienza dei sistemi di manifattura.
Exploring human-centric manufacturing: the role of technology-assisted assembly in industry 5.0
TSIOMPANOS, IOANNIS
2023/2024
Abstract
The thesis provides an in-depth analysis of Industry 5.0's human-centric approach to manufacturing, exploring its alignment with contemporary industry through practical experiences in a learning factory. It delves into the transition from Industry 4.0 to 5.0, highlighting the integration of human insights with advanced technologies like AI and automation. The research was conducted within the MADE competence center at Politecnico di Milano, employs the Constructive Alignment framework to ensure a direct linkage between learning activities and outcomes, facilitating a departure from traditional lecture-based teaching towards practical, experiential learning in a simulated industrial environment. This approach offers insights into workers' adaptability to novel tasks and their interactions with emerging technologies. By focusing on the core values of safety, inclusivity, and empowerment, the study assesses the industry's response to a human-centric manufacturing paradigm. This research, part of the European Project DE4Human, seeks to underscore the transformative potential of Industry 5.0 in making industrial practices more adaptive, flexible, and focused on enhancing human collaboration and teamwork, thereby driving significant advancements in manufacturing systems' resilience and efficiency.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/219388