Comparison of univariate and multivariate anthropometric accommodation of the northwest Mexico population

ABSTRCT

Ergonomic workstation design is crucial to prevent work-related musculoskeletal disorders. Many researchers have proposed multivariate analysis for human accommodation. However, no multivariate anthropometric analysis exists for the Mexican population. This study compares common multivariate human accommodation approaches (e.g. principal component and archetypal analyses) and clustering techniques (e.g. k-means and Ward’s algorithm) with the classical percentile-based univariate accommodation approach, using the Chi-squared goodness-of-fit test and the McNemar’s test. The theoretical accommodation percentage obtained by multivariate approaches was higher than those obtained by the percentile univariate approach considering the central 98% data. k-means and archetypal analysis obtained similar and the highest accommodation values, followed by Ward’s algorithm and principal component analysis. The study findings can be deployed to assess the design of workstations in Mexico, such as electronic components assembly and crew designs, and the effects of different anthropometric measurements in human accommodation.

Practitioner summary: Products and workplaces design are commonly based on the classical univariate approach, using the extreme percentiles. In this study, multivariate approaches were tested on dimensions for sitting workstations, and results showed a bigger accommodation level in comparison to the univariate 1%–99% approaches.

Abbreviations: RHM: representative human model; DHM: digital human model; PCA: principal component analysis; AA: archetypal analysis (AA); PCs: principal components; FA: factor analysis; RSS: residual sum of squares; SSE: sum of squared estimated errors; WA: Ward’s algorithm; DBI: Davies–Bouldin index; CHI: Calinski–Harabaz index; SI: silhouette index; SH: sitting height; EHS: eye height, sitting; AHS: acromial height, sitting; PH: popliteal height; KHS: knee height, sitting; BPL: buttock–popliteal length; BKL: buttock–knee length; FGR: functional grip reach; AD: anthropometric dimension; E: expected; A: achieved

Keywords:

• General ergonomics
• industrial ergonomics
• anthropometry
• standards
• workstation design

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by the first author fellowship from Programa para el Desarrollo Profesional Docente (PRODEP) as Professor of the University of Sonora.