Published April 30, 2022
| Version CC BY-NC-ND 4.0 2022-04-30
Journal article
Open
Optimum Choice of Fabric for Apparel Based on GSM and Yarn Count
Authors/Creators
- 1. Associate Professor, Department of Textile Design, National Institute of Fashion Technology, Hyderabad (Telangana), India.
- 2. Professor, Department of Textiles and Clothing, Avinashilingam Institute for Home Science and Higher Education for Women Coimbatore (Tamil Nadu), India.
Description
Abstract: With the variety of fabrics available it is important to understand which GSM and yarn count the consumer chooses before buying the final decision to buy apparel. This article is to understand what GSM and yarn count consumers optimally choose and why.
Notes
Published By:
Blue Eyes Intelligence Engineering
and Sciences Publication (BEIESP)
© Copyright: All rights reserved.
Files
E98290411522.pdf
Files
(318.5 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:7d64afb9a062d79889c327fd1bf79c1e
|
318.5 kB | Preview Download |
Additional details
Related works
- Is cited by
- Journal article: 2278-3075 (ISSN)
References
- Danquah Monnie, Winston Yao Sappor. Characteristics of Selected Lining Fabrics on the Ghanaian Market Used for Garment Construction. (2020). Science, Technology & Public Policy. Vol. 4, No. 1: 27-33
- Hargrave, H. (1997). From fiber to fabric: The Essential Guide to Quiltmaking Textiles. C & T Pub.
- Reham AS (2016). Consumer Attitude and Purchase Decision towards Textiles and Apparel Products. World Journal of Textile Engineering and Technology, 2016, 2, 16-30
- Srabani Misra, Jana Salacova, Jiri Militky (2020), multicriteria decision-making in complex quality evaluation of ladies dress material. AUTEX Research Journal, Vol. 20, No 3, September 2020
Subjects
- ISSN: 2278-3075 (Online)
- https://portal.issn.org/resource/ISSN/2278-3075#
- Retrieval Number: 100.1/ijitee.E98290411522
- https://www.ijitee.org/portfolio-item/E98290411522/
- Journal Website: www.ijitee.org
- https://www.ijitee.org
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org