Promoting human-centered manufacturing through Lean Ergonomics – a structural equation model for ergonomics and management data

The Stress-Strain Concept (SSC) describes central mechanisms in Lean Ergonomics (LE) and Human Factors Engineering (HFE). The SSC can create additional value through content and methodological enrichment based on current economic, technological, and demographic constraints. This article uses the SSC to explore mechanisms of interactions of productivity and ergonomics in empirical shop floor data. Ergonomic (Borg, NASA-Task Load Index (N-TLX), Ergonomic Assessment Worksheet (EAWS), Health, Age) and business data (normalized and absolute standard deviations of work process times) were collected for 24 manual work processes operating large-scale chemical reactors. Data is analyzed using several Structural Equation Models (SEM). Stress (EAWS) and – depending on Health – Physical Strain with a model quality of Adjusted Goodness-of-Fit ≥0.9 were identified as statistically significant regressors for time data. In addition, carry-over effects from ergonomics to productivity were identified in an autoregressive model. Fit indices are in the good to acceptable range.

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Publication Details

Journal
Production & Manufacturing Research
Published
2024-09-02
DOI
https://doi.org/10.1080/21693277.2024.2398086
Citations
1
Primary Topic
Ergonomics and Human Factors
Type
article
Field-Weighted Citation Impact
0.18

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article

Promoting human-centered manufacturing through Lean Ergonomics – a structural equation model for ergonomics and management data

Stefan Brunner, Klaus Bengler, Klaus Kühnel, Mathias Siebenbürger
1 citations
Production & Manufacturing Research
Ergonomics and Human Factors
0.18
article

Promoting human-centered manufacturing through Lean Ergonomics – a structural equation model for ergonomics and management data

Stefan Brunner, Klaus Bengler, Klaus Kühnel, Mathias Siebenbürger
article en
1 citations

Abstract

The Stress-Strain Concept (SSC) describes central mechanisms in Lean Ergonomics (LE) and Human Factors Engineering (HFE). The SSC can create additional value through content and methodological enrichment based on current economic, technological, and demographic constraints. This article uses the SSC to explore mechanisms of interactions of productivity and ergonomics in empirical shop floor data. Ergonomic (Borg, NASA-Task Load Index (N-TLX), Ergonomic Assessment Worksheet (EAWS), Health, Age) and business data (normalized and absolute standard deviations of work process times) were collected for 24 manual work processes operating large-scale chemical reactors. Data is analyzed using several Structural Equation Models (SEM). Stress (EAWS) and – depending on Health – Physical Strain with a model quality of Adjusted Goodness-of-Fit ≥0.9 were identified as statistically significant regressors for time data. In addition, carry-over effects from ergonomics to productivity were identified in an autoregressive model. Fit indices are in the good to acceptable range.

Production & Manufacturing ResearchVol. 12(1)
Technical University of Munich (DE)
Wacker
Openalex Percentile: Top 53%
Ergonomics and Human Factors
0.18
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Promoting human-centered manufacturing through Lean Ergonomics – a structural equation model for ergonomics and management data — Stefan Brunner, Klaus Bengler, et al. · Production & Manufacturing Research (2024) | TGRS Research Map | TGRS