A sequential hybrid method to establish practical sizing systems based on anthropometric data
International Journal of Clothing Science and Technology
ISSN: 0955-6222
Article publication date: 17 February 2021
Issue publication date: 1 March 2022
Abstract
Purpose
Size fit and economic efficiency are two crucial aspects that need to be considered in designing a sizing system. However, there could exist a trade-off between those aspects in order to establish a practical sizing system. The purpose of this paper is to develop a sequential hybrid method of grid and optimization to generate a practical sizing system using anthropometric data.
Design/methodology/approach
The proposed sequential hybrid method consisted of two sequential steps, which employs grid method and optimization method. In the initial step, the grid method creates primary grids that accommodate a designated percentage (e.g. 90%) of users with best size fit. In the subsequent step, the optimization method generated additional grids to provide acceptable fit, with minimum fit penalty scores for users unaccommodated by the primary grids. Our method was applied to the development of a sizing system for men's military jackets. The proposed method performances were evaluated in terms of accommodation percentage, size fit and number of sizing categories.
Findings
Our proposed method resulted in 26 primary grids during the initial step, which cover 90% of users. Next, we generated six additional grids during the subsequent step that provide minimum fit penalty scores for the rest (10%) users.
Originality/value
The main contributions of this paper are as follows: consider accommodation percentage, size fit and number of sizing categories in the design of sizing system; combine the grid and optimization methods and evaluate a sizing system for men's military jackets. The proposed method is applicable to develop optimal sizing systems for multiple-size products.
Keywords
Acknowledgements
Research funding: This work was supported in part by the 2019 Research Fund of University of Ulsan. The above funder provided research findings in the entire research process from study design to paper submission.
Citation
Tjolleng, A., Jung, K., Han, H., Han, H. and Cho, J. (2022), "A sequential hybrid method to establish practical sizing systems based on anthropometric data", International Journal of Clothing Science and Technology, Vol. 34 No. 1, pp. 52-64. https://doi.org/10.1108/IJCST-04-2020-0047
Publisher
:Emerald Publishing Limited
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