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Leveraging Digital Twin Technology with a Human-Centered Approach to Automate a Workstation in the Logistics Sector of Made in Italy: CHIMAR Use Case

Articolo
Data di Pubblicazione:
2025
Citazione:
Leveraging Digital Twin Technology with a Human-Centered Approach to Automate a Workstation in the Logistics Sector of Made in Italy: CHIMAR Use Case / Bertoli, Annalisa; Nini, Matteo; Cibrario, Valerio; Vargas, Manuela; Perona, Paolo; Rossi, Ludovico; Benedetti, Laura; Nicolinti, Alberto; Fantuzzi, Cesare. - In: MACHINES. - ISSN 2075-1702. - 13:4(2025), pp. 1-22. [10.3390/machines13040303]
Abstract:
Industry 4.0 has driven the development of important technologies for industrial applications, but the focus has often been on technological advancement rather than on how operators interact with these systems. With the emergence of Industry 5.0, attention has shifted toward the role of the operators and their interaction with emerging technologies. This paper explores the automation of a fully manual operation in the logistics field while adopting a human-centered approach to reduce risky tasks and enhance the operator’s well-being. A motion capture system and digital human simulation software are utilized to create a digital twin of a real-world industrial case study. This approach enables the virtual testing of various automation solutions to identify the optimal scenario that meets the performance indicator parameters. This study highlights the importance of integrating ergonomic considerations into automation strategies.
Tipologia CRIS:
Articolo su rivista
Keywords:
digital human simulations; human factors engineering; ergonomics; motion capture systems; human digital twins
Elenco autori:
Bertoli, Annalisa; Nini, Matteo; Cibrario, Valerio; Vargas, Manuela; Perona, Paolo; Rossi, Ludovico; Benedetti, Laura; Nicolinti, Alberto; Fantuzzi, Cesare
Autori di Ateneo:
BERTOLI ANNALISA
FANTUZZI Cesare
NINI MATTEO
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1380029
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1380029/899528/machines-13-00303-v2.pdf
Pubblicato in:
MACHINES
Journal
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URL

https://www.mdpi.com/2075-1702/13/4/303
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