A sequential hybrid method to establish practical sizing systems based on anthropometric data

Abstract

PurposeSize 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/approachThe 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.FindingsOur 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/valueThe 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.

An overview of sizing system for girls school uniform

“…In the case of adults, the most used versatile method to classify the types of figures is drop value method. However, it was observed that drop value method does not fit well while applying it for classifying the types of figures for children [10]. A study done indicates that there is only a 20% population matching the measurements of an 'average figure', whereas the sizing systems are expected to encompass at least 80% of population and leave out only 20% which cannot be covered due to significant difference in proportions and sizes.…”