Industry 4.0 Paradigm unleashed tremendous opportunities to boost economical and societal transitions for the business and improved living standards of society, while Industry 5.0 is extending previous technological breakthrough in steering transformation, stimulating industry and society to be human-centric, sustainable, resilient, and green. Digital Twins, in turn, play a key role as enabler in such transformation. Heterogeneity of manufacturing technologies imposes specific challenges in developing and adopting Digital Twins. The main goal of this paper is to propose, assess and justify a robust and open framework of Digital Twins for manufacturing technologies, such as collaborative and mobile robots, as well as subtractive manufacturing machines. A framework eventually can be used by SME, while also in Educational and Research Institutions.
A Digital Twin Framework for Industry 4.0/5.0 Technologies / Asranov, M.; Aliev, K.; Chiabert, P.; Inoyatkhodjaev, J.. - 701:(2024), pp. 14-24. (Intervento presentato al convegno 20th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2023 tenutosi a can nel 2023) [10.1007/978-3-031-62578-7_2].
A Digital Twin Framework for Industry 4.0/5.0 Technologies
Asranov M.;Aliev K.;Chiabert P.;Inoyatkhodjaev J.
2024
Abstract
Industry 4.0 Paradigm unleashed tremendous opportunities to boost economical and societal transitions for the business and improved living standards of society, while Industry 5.0 is extending previous technological breakthrough in steering transformation, stimulating industry and society to be human-centric, sustainable, resilient, and green. Digital Twins, in turn, play a key role as enabler in such transformation. Heterogeneity of manufacturing technologies imposes specific challenges in developing and adopting Digital Twins. The main goal of this paper is to propose, assess and justify a robust and open framework of Digital Twins for manufacturing technologies, such as collaborative and mobile robots, as well as subtractive manufacturing machines. A framework eventually can be used by SME, while also in Educational and Research Institutions.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2996541
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