An anthropometric study of Serbian metal industry workers

Work : a Journal of Prevention, Assessment, and Rehabilitation
S OmićM M Klarin

Abstract

There are recent studies using new industrial workers' anthropometric data in different countries, but for Serbia such data are not available. This study is the first anthropometric study of Serbian metal industry workers in the country, whose labor force is increasingly employed both on local and international markets. The metal industry is one of Serbia's most important economic sectors. To this end, we collected the basic static anthropometric dimensions of 122 industrial workers and used principal components analysis (PCA) to obtain multivariate anthropometric models. To confirm the results, the dimensions of an additional 50 workers were collected. The PCA methodology was also compared with the percentile method. Comparing both data samples, we found that 96% of the participants are within the tolerance ellipsoid. According to this study, multivariate modeling covers a larger extent of the intended population proportion compared to percentiles. The results of this research are useful for the designers of metal industry workstations. This information can be used in dimensioning the workplace, thus increasing job satisfaction, reducing the risk of injuries and fatalities, and consequently increasing productivity and safety.

References

Apr 1, 1982·Ergonomics·M BoussennaS T Pheasant
Jun 8, 2001·Applied Ergonomics·G BolstadA Rokne
Jul 14, 2006·Occupational Medicine·Mostafa GhaffariEva Vingard
Nov 20, 2012·Human Factors·Jinhua GuanDominic Paul T Piamonte
Aug 22, 2014·Human Factors·Hongwei HsiaoMichael Wilbur
Sep 28, 2015·Work : a Journal of Prevention, Assessment, and Rehabilitation·Aleksandar ZunjicDragan Krstic

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Citations

Jan 12, 2021·Work : a Journal of Prevention, Assessment, and Rehabilitation·H I CastellucciG Bravo

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Methods Mentioned

BETA
PCA

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