What question did this study set out to answer?

The research aims to demonstrate how digital twins can move ergonomic solutions from prevention to personalized applications in automotive assembly environments.

January 21, 2026Ergonomics0 citations

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Digital twin-driven, human-centric ergonomic risk forecasting in automotive and industrial assembly: a collective case study

TBTouria BenazzouzCadi Ayyad University AIAissa Ouhadou ImanCadi Ayyad University MSMihoubi SalouaCadi Ayyad University

Key Points

The research aims to demonstrate how digital twins can move ergonomic solutions from prevention to personalized applications in automotive assembly environments.
Conducted a collective case study in automotive and industrial assembly settings.
Identified four models for ergonomic risk reduction and task design.
Analyzed human-robot collaboration frameworks.
Enhanced ergonomics through adaptive solutions tailored to individual needs.
Reduced musculoskeletal risks associated with assembly tasks.
Supported flexible task design to improve safety and efficiency in manufacturing.

Abstract

This study shows how DTs can enhance ergonomics in automotive assembly by moving from prevention to adaptive, personalised solutions. The four models identified help practitioners reduce musculoskeletal risks, support flexible task design, and advance human-robot collaboration towards safer, Industry 5.0-ready manufacturing.

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Cite This Study

Benazzouz et al. (Mon,) studied this question.

synapsesocial.com/papers/69706c09b6488063ad5c1834 https://doi.org/https://doi.org/10.1080/00140139.2026.2617969

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