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Sizing system is a fundamental topic in garment fitting. The purpose of this study was to assess the fit of existing police uniforms (shirt, jacket, overcoat and trousers) and develop a sizing system for upper and lower body uniforms of Amhara policemen in Ethiopia.

In total, 35 body dimensions of 889 policemen were taken through a manual anthropometric survey following the procedures in ISO 8559:1989 after each subject was interviewed on issues related to garment fit. The anthropometric data were pre-processed, key body dimensions were identified by principal components analysis and body types were clustered by the agglomerative hierarchical clustering algorithm and verified by the XGBoost classifier in a Python programming environment. The developed size charts were validated statistically using aggregate loss and accommodation rate.

About 44% of the subjects encountered fit problems every time they own new readymade uniforms. Lengths and side seams of shirts, and lengths and waist girths of trousers are the most frequently altered garment sites. Analysis of the anthropometric measurements resulted in 13 and 15 sizes for the upper and lower bodies, respectively. Moreover, the comparison of the developed upper garment size chart with the existing size chart for a shirt showed a considerable difference. This indicates that inappropriate size charts create fit problems.

The study considers the analysis of fit problems and sizing system development in a less researched country. Moreover, the proposed data mining procedure and its application for size chart development is unique and workable.

The purpose of this study is to explore fit problems, satisfaction and preferences of Ethiopian male consumers of ready-made garments (shirt, polo shirt, sweater and khaki and jeans trousers) and highlight the need for a domestic standard garment size chart.

Using a structured questionnaire, 405 usable responses were collected from consumers in four cities (Bahir Dar, Kombolcha, Dessie and Addis Ababa) based on convenience sampling. Moreover, the pattern-making methods of 12 domestic garment manufacturing companies were investigated. One-way analysis of variance and multivariate analysis of variance were used to examine differences in fit satisfaction with age, body size and shape. Multiple regression was used to test hypotheses.

The participants were mostly neither satisfied nor dissatisfied with the fit of the garments irrespective of their age, body size and shape. While age was found to be insignificant, apparel sizes worn and body shape were found to be significant predictors of fit type in most garments. It was also found that most of the domestic garment manufacturing companies use the knock-off method for pattern making, which results in a bad fit as the basic garment for the knock-off is constructed based on other countries’ standards.

This study investigates the fit problems and preferences of ready-made garments in the context of consumers in a developing country. Moreover, it has a contribution in considering men’s body shape in the analysis of fit preferences. The results have implications for developing domestic standard garment size charts to improve fit satisfaction.