Evaluation And Grading Of Comfort Characteristics Of Woven Winter Fabrics With Varying Weft Yarns Using Ahp And Promethee Approach
Abstract
Purpose: The “AHP” and “PROMETHEE” approaches are employed to choose the top-grade woven fabric with the best mechanical, thermal, and sensory comfort characteristics. These techniques permit for a systematic comparison of many fabric choices, ensuring that the final choice joins both performance and comfort standards.
Design/methodology/approach: In the construction of woven fabric, eight yarns were utilized in the study's methodology. The extensive calculation of GSM, thermal resistance, tensile strength, tear strength, pilling level, drapability, smoothness, and wrinkle recovery was carried out in the research methodology.
Findings: The outcomes of the study established that Fabric F7 (micro-polyester/cotton blend) (F7) was declared a best quality fabric from the eight fabric samples. These results indicate that the micro polyester/cotton blend is stable, long-lasting and comfortable and making it best choice for winter clothing. In future, more research work could investigate the long-lasting functioning of the[1] fabrics under several environmental circumstances to realize their useful functions better. Notably, fabric F7 received higher subjective evaluation scores, indicating superior mechanical, thermo-physiological, and sensory comfort.
Originality/value: Fashion brands can create distinctive, superior, and functional fabrics to satisfy their customers. Fashion designers and textile manufacturers may employ the unique characteristics of these yarns to develop textiles that meet the demand of women's winter clothing.
Research implications: Quality is a primary concern for companies attempting to meet the ever-evolving needs of their customers. Textile producers use physical and comfort-related qualities to create innovative fabrics that give them an advantage in the fashion industry and to enhance their brand image.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0
