Reid, Louise F. ORCID: 0000-0002-4779-4333, Vignali, Gianpaolo, Barker, Katharine, Chrimes, Courtney and Vieira, Rachel ORCID: 0009-0008-2652-8328 (2019) Three-dimensional Body Scanning in Sustainable Product Development: An exploration of the use of body scanning in the production and consumption of female apparel. In: Technology-Driven Sustainability: Innovation in the Fashion Supply Chain. Palgrave Macmillian, London, pp. 173-194. ISBN 9783030154820
Full text not available from this repository.Abstract
The fashion industry is plagued with complications regarding garment sizing and inadequate fit. Inconsistent sizing systems, coupled with the lack of attention by industry to understand deviations in female body shapes, not only impose severe implications upon the consumer decision-making process, but also inflict issues regarding sustainability. As a result of recent advancements in technology, 3D body scanning has been argued to be the solution to these issues, by providing a more sustainable method of clothing production and distribution, as well as enhancing apparel fit. Indeed, 3D body scanning technology has the ability to capture replicable and more consistent data sets than manual measurement collection. However, this chapter challenges the current application of 3D body scanning in apparel production by addressing two vital limitations. The first challenge explored is the incompatibility of 3D body scan measurements with manual products practices. Secondly, consumer fit preferences are often overlooked with body shape and measurement. Hence, this chapter reasons that only when these key limitations are addressed can 3D body scanning help facilitate sustainable practice and provide retailers with enough information to develop well-fitted apparel.
Item Type: | Book Section |
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Uncontrolled Keywords: | Technology; Fashion Industry; Three Dimensional Scanning; Female Body; Clothing; Sustainability |
Related URLs: | |
Subjects: | H Social Sciences > HF Commerce > HF5001 Business > HF5410 Marketing |
Divisions: | Schools and Research Institutes > School of Business, Computing and Social Sciences |
Research Priority Areas: | Applied Business & Technology |
Depositing User: | Louise Reid |
Date Deposited: | 24 May 2019 10:00 |
Last Modified: | 01 Aug 2023 11:04 |
URI: | https://eprints.glos.ac.uk/id/eprint/6821 |
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