The 4.0 revolution is leading to increasingly automated, flexible, and intelligent manufacturing systems that require greater complexity to manage during maintenance and process control. In this context the optimization of the human-machine interaction plays a crucial important role in the design of modern industrial systems. Virtual Reality (VR) offers realistic simulation environments where users can be involved to replicate specific human tasks, detecting and solving problems before they occur. The paper proposes a human-centric digital design methodology that integrates VR technologies with human data analysis tools to support the design or redesign of complex industrial systems. Different wearable devices have been used to collect data about physical and mental user conditions to provide an early assessment of the operators’ workload, while comparing different design solutions into the virtual space. An industrial use case related to the redesign of packaging automated machines was used to validate the proposed method and tools: a preliminary correlation between physiological parameters and machines interactions was found.

Grandi, F., Khamaisi, R.K., Morganti, A., Peruzzini, M., Pellicciari, M. (2024). Human-Centric Design of Automated Production Lines Using Virtual Reality Tools and Human Data Analysis. N.A. : Springer Nature AG [10.1007/978-3-031-38165-2_61].

Human-Centric Design of Automated Production Lines Using Virtual Reality Tools and Human Data Analysis

Peruzzini, Margherita;
2024

Abstract

The 4.0 revolution is leading to increasingly automated, flexible, and intelligent manufacturing systems that require greater complexity to manage during maintenance and process control. In this context the optimization of the human-machine interaction plays a crucial important role in the design of modern industrial systems. Virtual Reality (VR) offers realistic simulation environments where users can be involved to replicate specific human tasks, detecting and solving problems before they occur. The paper proposes a human-centric digital design methodology that integrates VR technologies with human data analysis tools to support the design or redesign of complex industrial systems. Different wearable devices have been used to collect data about physical and mental user conditions to provide an early assessment of the operators’ workload, while comparing different design solutions into the virtual space. An industrial use case related to the redesign of packaging automated machines was used to validate the proposed method and tools: a preliminary correlation between physiological parameters and machines interactions was found.
2024
32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023
518
526
Grandi, F., Khamaisi, R.K., Morganti, A., Peruzzini, M., Pellicciari, M. (2024). Human-Centric Design of Automated Production Lines Using Virtual Reality Tools and Human Data Analysis. N.A. : Springer Nature AG [10.1007/978-3-031-38165-2_61].
Grandi, Fabio; Khamaisi, Riccardo Karim; Morganti, Alessio; Peruzzini, Margherita; Pellicciari, Marcello
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/964153
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