Human-Centric Systems for Evolved Manufacturing Products and Processes
The vision of Industry 5.0 aims to reconcile production objectives with social goals centered on sustainability and the well-being of workers, placing humans at the center of the production process. However, from a technological perspective, there is strong continuity between Industry 4.0 and Industry 5.0. Artificial Intelligence (AI) and Machine Learning (ML), Big Data, the Internet of Things (IoT), and, in general, digital transformation still play a central role. Yet, in the human-centric vision of the new paradigm, these technologies are now used to “bring the human back into the control loop,” rather than to implement increasingly advanced automation.
In this context lies SUPREME, which aims to design and implement advanced and secure systems for monitoring production lines/products, optimizing processes and their efficiency (including energy efficiency), detecting faults and maintenance, quality control, and traceability. By using ICT technologies, in continuity with the paths already undertaken in the Industry 4.0 vision, the goal is to create advanced decision-making systems that support the operator, increasing their operability and centrality within the various business functions, towards a more efficient and sustainable industrial vision.
The partner companies will participate in both identifying requirements to ensure the effective impact of the proposed industrial research activities in the regional context, and in creating 9 use cases to evaluate the actual adoptability and effectiveness of the developed solutions, sometimes creating prototype versions of products/services.
The project partnership is characterized by the presence of end-users operating in various sectors of the regional manufacturing landscape (ABAnalitica, Delka Energy, Keyline, Ricos, Uster, Zamperla, Zanella) and providers of technologically advanced services (Asac, Bedigital, Dataveneta, Fidem, IRS, Statwolf, Stesi, Xteam, 221e) in line with the model that has proven successful for the transfer of ICT technologies into the manufacturing system and ensures interdisciplinarity and transferability of the results obtained. Finally, the presence of the Universities of Padua, Verona, and Ca’ Foscari Venice ensures solid methodological support for the initiative.
