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Influence of Woven Fabric Width and Human Body Types on the Fabric Efficiencies in the Apparel Manufacturing by Tayyab Naveed; Yueqi Zhong; Yu Zhicai; Muhammad Awais Naeem; Lu Kai; Xie Haoyang; Amjad Farooq; Zamir Ahmed Abro is a Materials Science article available to read on EtoBox.
What is Influence of Woven Fabric Width and Human Body Types on the Fabric Efficiencies in the Apparel Manufacturing about?
## Abstract In the apparel manufacturing, the fabric is the single largest element in the cost of the garment. Therefore, effectual fabric consumption causes a reduction in cost and exertions. The purpose of this research is to study the effects of fabric width on the efficiency of marker (cutting) plans. Fabric consumption is in four types for human body shapes, that is, triangle, oval, square, and circle, in both genders to control the fabric utilization. Two clothing styles, fitted trousers and fitted shirts, are manufactured in an apparel manufacturing industry. The marker plans produced through Garment Gerber Technology software are accomplished in 36 different fabric widths (independent variables). The evaluation of dependent variables, that is, marker efficiency, marker loss, and fabric consumption efficiency relevant to four body shapes in variable fabric widths is analyzed for both women and men. The statistical analysis indicates that there is a linear relationship between marker efficiency and fabric width (sig <0.05). The regression analysis (p-value) between dependent variables and predictor variables (body types and fabric width) is also statistically significant. Als
Who reads Influence of Woven Fabric Width and Human Body Types on the Fabric Efficiencies in the Apparel Manufacturing?
It is typically read by researchers, students, and practitioners in Materials Science.
- Author
- Tayyab Naveed; Yueqi Zhong; Yu Zhicai; Muhammad Awais Naeem; Lu Kai; Xie Haoyang; Amjad Farooq; Zamir Ahmed Abro
- Publisher
- Walter de Gruyter GmbH
- Published
- 2020
- Language
- EN
- Field
- Materials Science (Physical Sciences)