Digital twin-driven, human-centric ergonomic risk forecasting in automotive and industrial assembly: a collective case study
3.40T1 sourceErgonomics (Taylor & Francis)
Source record
Published by Ergonomics (Taylor & Francis) (T1 source). The original is at https://www.tandfonline.com/doi/full/10.1080/00140139.2026.2617969?af=R.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPeer-reviewed case study presenting a digital twin-driven framework for forecasting human-centric ergonomic risks in automotive and industrial assembly environments.
Why it mattersPeer-reviewed methodology linking digital twins to ergonomic risk prediction in assembly lines; relevant for industrial planners and ergonomics researchers.
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