Evaluation of the multivariate accommodation performance of the grid method

Kihyo Jung; Ochae Kwon; Heecheon You

doi:10.1016/j.apergo.2010.06.004

Evaluation of the multivariate accommodation performance of the grid method

Appl Ergon. 2010 Dec;42(1):156-61. doi: 10.1016/j.apergo.2010.06.004. Epub 2010 Aug 5.

Authors

Kihyo Jung¹, Ochae Kwon, Heecheon You

Affiliation

¹ The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, USA.

PMID: 20688318
DOI: 10.1016/j.apergo.2010.06.004

Abstract

The present study examined the multivariate accommodation performance (MAP) of the grid method, a distributed representative human models (RHM) generation method, in the context of men's pants sizing system design. Using the 1988 US Army male anthropometric data and ± 2.5 cm of fitting tolerance, the grid method selected two key dimensions (waist girth and crotch height) out of 12 anthropometric dimensions and identified 25 RHMs to accommodate 95% of the population. The average MAP of the RHMs decreased dramatically as the number of anthropometric dimensions considered increased (99% for single dimension and 14% for 12 dimensions). A standardized regression model was established which explains the effects of two factors (sum of anthropometric dimension ranges; adjusted R(2) between key dimensions and other anthropometric dimensions) on the MAP of RHMs. This regression model can be used to prioritize anthropometric dimensions for efficient MAP improvement of men's pants design.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Anthropometry / methods*
Body Size*
Clothing*
Humans
Male
Military Personnel
Regression Analysis