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A new methodology for the development of sizing systems for the mass customization of garments
Purpose - The purpose of this paper is to derive a new method for developing sizing systems for the mass customization of garments.Design methodology approach - A range of recently published works has been studied. A new method is derived by following a basic statistical analysis on anthropometric d...
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Published in: | International journal of clothing science and technology 2010-01, Vol.22 (1), p.49-68 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Purpose - The purpose of this paper is to derive a new method for developing sizing systems for the mass customization of garments.Design methodology approach - A range of recently published works has been studied. A new method is derived by following a basic statistical analysis on anthropometric data which are supported by an iterative mass customization model and introduced "satisfaction performance" indices. The derived method is applied successfully to an anthropometric data consisting of 12,810 Greek men.Findings - With the proposed method, it is possible to control the degree of mass customization and the corresponding number of garment sizes. Under this way, a balance between the number of sizes (in other words: production cost) and the percentage satisfaction of consumers can be achieved. The proposed method consists of six subsequent tasks which are applied to the target population data for the development of mass customization models for male shirts, coats and trousers.Research limitations implications - Future work could be focused on the development of methods for the automatic garments grading with respect to the proposed mass customization models and practise.Originality value - The methodology presented in this paper can be applied to the development of mass customization models for other categories of garments and target population. |
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ISSN: | 0955-6222 1758-5953 |
DOI: | 10.1108/09556221011008802 |