TY - JOUR
T1 - Promoting human-centered manufacturing through Lean Ergonomics–a structural equation model for ergonomics and management data
AU - Brunner, Stefan
AU - Siebenbürger, Mathias
AU - Kühnel, Klaus
AU - Bengler, Klaus
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - industry 5.0
KW - operational excellence
KW - production ergonomics
KW - Production/Lean management
KW - structural equation modeling (SEM)
UR - http://www.scopus.com/inward/record.url?scp=85204179564&partnerID=8YFLogxK
U2 - 10.1080/21693277.2024.2398086
DO - 10.1080/21693277.2024.2398086
M3 - Article
AN - SCOPUS:85204179564
SN - 2169-3277
VL - 12
JO - Production and Manufacturing Research
JF - Production and Manufacturing Research
IS - 1
M1 - 2398086
ER -