As industries progress toward Industry 4.0 and subsequent frameworks, integrating advanced technologies into existing machinery is increasingly recognized as essential for maintaining competitive advantages and adapting to new industrial standards. This paper discusses a modular architecture named Smart Retrofit Solution, which was developed to upgrade legacy machinery cost-effectively. The proposed architecture supports a range of intelligent components, including hardware (devices and sensors) and software (programs and algorithms), which facilitate the integration process without requiring extensive customization. The design aims to enhance older systems performance, connectivity, and functionality, providing a scalable and economical solution for upgrades, particularly suitable for Small and Medium Enterprises. Despite the potential benefits, retrofitting presents challenges related to overcoming inherent design or material limitations of the existing systems. Furthermore, regulatory compliance after substantial modifications, introduces additional complexities and costs, leading to potential unnecessary expenditures. The provided analysis suggests that while retrofitting is often cost-effective in the short term, the decision to retrofit should consider both the immediate and long-term strategic benefits of adopting new technologies, considering the full spectrum of operational and regulatory impacts. This assessment supports the understanding of smart retrofitting as a strategic response to the demands of modernization in industrial contexts
Smart Retrofit Solution: An Architecture for Digital Innovation / Pietrangeli, I.; Mazzuto, G.; Ciarapica, F. E.; Bevilacqua, M.; Ortenzi, M.. - (2024). (Intervento presentato al convegno 30th ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation, ICE/ITMC 2024 tenutosi a Funchal, Portugal nel 24-28 June 2024) [10.1109/ICE/ITMC61926.2024.10794309].
Smart Retrofit Solution: An Architecture for Digital Innovation
Pietrangeli I.;Mazzuto G.;Ciarapica F. E.;Bevilacqua M.;Ortenzi M.
2024-01-01
Abstract
As industries progress toward Industry 4.0 and subsequent frameworks, integrating advanced technologies into existing machinery is increasingly recognized as essential for maintaining competitive advantages and adapting to new industrial standards. This paper discusses a modular architecture named Smart Retrofit Solution, which was developed to upgrade legacy machinery cost-effectively. The proposed architecture supports a range of intelligent components, including hardware (devices and sensors) and software (programs and algorithms), which facilitate the integration process without requiring extensive customization. The design aims to enhance older systems performance, connectivity, and functionality, providing a scalable and economical solution for upgrades, particularly suitable for Small and Medium Enterprises. Despite the potential benefits, retrofitting presents challenges related to overcoming inherent design or material limitations of the existing systems. Furthermore, regulatory compliance after substantial modifications, introduces additional complexities and costs, leading to potential unnecessary expenditures. The provided analysis suggests that while retrofitting is often cost-effective in the short term, the decision to retrofit should consider both the immediate and long-term strategic benefits of adopting new technologies, considering the full spectrum of operational and regulatory impacts. This assessment supports the understanding of smart retrofitting as a strategic response to the demands of modernization in industrial contextsFile | Dimensione | Formato | |
---|---|---|---|
Smart_Retrofit_Solution_An_Architecture_for_Digital_Innovation.pdf
Solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso:
Tutti i diritti riservati
Dimensione
512.02 kB
Formato
Adobe PDF
|
512.02 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Smart_Retrofit_Solution_MADEIRA.pdf
accesso aperto
Tipologia:
Documento in post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza d'uso:
Tutti i diritti riservati
Dimensione
602.29 kB
Formato
Adobe PDF
|
602.29 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.