A Multi-Criteria Decision-Making Approach for Woven Fabric Selection and Grading for Ladies Summer Apparel

ABSTRACT

In the garment industry, selection of the most appropriate fabric for apparel manufacturing plays a vital role in customer satisfaction. Identification of the best fabric from a set of available options in the presence of conflicting selection criteria is often a quite challenging multi-criteria decision-making problem. In this study, analytic hierarchy process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) are used to solve fabric selection problem for apparel manufacturing. The AHP identifies relative weights of the selection criteria, whereas the PROMETHEE II method ranks the alternative fabrics based on their net outranking flows. The ranking of cotton fabrics based on multiple decision criteria of different weights is successfully achieved using combined AHP and PROMETHEE approach, which is applicable to selection of textile raw materials at any stage of the value chain. AHP and Visual PROMETHEE approach are integrated to provide a holistic methodology for fabric ranking and selection in the light of multiple selection criteria.

摘要

在服装行业中，选择最适合服装制造的面料对顾客满意度起着至关重要的作用. 在存在冲突的选择标准的情况下，从一组可用选项中确定最佳结构常常是一个相当具有挑战性的多准则决策问题. 本文采用层次分析法（AHP）和偏好排序组织方法（PROMETHEE）解决服装生产中的面料选择问题. AHP确定了选择标准的相对权重，而PROMETHEE II方法根据备选织物的净排名流对其进行排名. 采用层次分析法和普罗米谢法相结合的方法，成功地实现了基于不同权重多决策准则的棉织物排序，适用于价值链任何阶段的纺织原料选择. 将层次分析法（AHP）和可视化的PROMETHEE方法相结合，提出了一种基于多种选择准则的织物排序和选择的综合方法.

KEYWORDS:

• Cotton woven fabrics
• garment industry
• analytical hierarchy process (AHP)
• visual PROMETHEE
• Fabric ranking

关键词:

• 棉织物
• 服装工业
• 混合料设计
• 视觉活尸
• 纱线质量指数
• 织物排名