This paper explores the integration of Digital Twins (DTs) in Industry 4.0 and 5.0, highlighting their role in enhancing intelligent, collaborative industrial ecosystems. By representing processes, machinery, operators, and products, DTs enable comprehensive life-cycle support and improved shop-floor operations. Intelligent applications and services can harness DTs as structured and interoperable virtual replicas, entrusted with the responsibility of interfacing with the physical world and facilitating access and mediation of interactions therein. Our study proposes structured DT modeling in industrial ecosystems to demonstrate how DTs enable an effective decoupling of responsibilities and capabilities supporting precise monitoring and data synthesis, optimizing production workflows and maintenance. We discuss DTs’ potential in industrial quality control, highlighting efficiency gains and operational improvements in electric motor production through case studies.

Digital Twin Driven Collaboration in Industry 5.0 / Martinelli, Matteo; Pietri, Marcello; Rossini, Enrico; Picone, Marco; Mamei, Marco. - (2025), pp. 104-109. ( 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2024 Reggio Emilia, Italy 26-28 June 2024) [10.1109/wetice64632.2024.00027].

Digital Twin Driven Collaboration in Industry 5.0

Martinelli, Matteo;Pietri, Marcello
;
Rossini, Enrico;Picone, Marco;Mamei, Marco
2025

Abstract

This paper explores the integration of Digital Twins (DTs) in Industry 4.0 and 5.0, highlighting their role in enhancing intelligent, collaborative industrial ecosystems. By representing processes, machinery, operators, and products, DTs enable comprehensive life-cycle support and improved shop-floor operations. Intelligent applications and services can harness DTs as structured and interoperable virtual replicas, entrusted with the responsibility of interfacing with the physical world and facilitating access and mediation of interactions therein. Our study proposes structured DT modeling in industrial ecosystems to demonstrate how DTs enable an effective decoupling of responsibilities and capabilities supporting precise monitoring and data synthesis, optimizing production workflows and maintenance. We discuss DTs’ potential in industrial quality control, highlighting efficiency gains and operational improvements in electric motor production through case studies.
2025
14-feb-2025
Inglese
32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2024
Reggio Emilia, Italy
26-28 June 2024
https://ieeexplore.ieee.org/document/10880251
Proceedings of the 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2024)
104
109
9798331505875
IEEE Computer Society
Digital Twin; DT collaboration; DT specialization; Industrial Internet of Things; Industry 4.0; Industry 5.0;
Martinelli, Matteo; Pietri, Marcello; Rossini, Enrico; Picone, Marco; Mamei, Marco
Atti di CONVEGNO::Relazione in Atti di Convegno
273
5
Digital Twin Driven Collaboration in Industry 5.0 / Martinelli, Matteo; Pietri, Marcello; Rossini, Enrico; Picone, Marco; Mamei, Marco. - (2025), pp. 104-109. ( 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2024 Reggio Emilia, Italy 26-28 June 2024) [10.1109/wetice64632.2024.00027].
none
info:eu-repo/semantics/conferenceObject
   TWINKLE
   TWINKLE
   European Union - NextGenerationEU
   CUP: E53D23007770001
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1373029
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