运用多元统计方法分析服装供应链主体特征指标,并在行业中应用

Chih-Hung Hsu, Liao Ying-Zhou
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引用次数: 0

摘要

服装生产标准是服装生产中服装设计和尺码成功的关键。许多方法利用围差的近似范围来确定服装生产标准的体型,但这些体型不能准确分类。此外,很少有研究将改进的腰围差异模型应用于服装行业的体型划分。因此,本研究尝试使用从服装生产标准制定的人体测量数据中获得的改善腰围差异模型来识别体型。所提出的方法可以反映数字之间的细微差别。身体类型及其分布将有精确的识别和使用,以制定服装生产标准。此外,新的服装生产标准预测了生产数量和生产尺寸的比例,从而实现了准确的生产计划和物料控制。因此,可以最大限度地减少因成品服装和消费者尺寸不匹配而导致的不必要的库存成本和生产浪费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using multivariate statistics to analyze body characteristic index for garment supply chain an industrial application
Garment production standards are essential to successfully designing and sizing clothing for garment production. Numerous approaches utilize approximate range of the girth difference to determine body types for developing garment production standards, but these body types could not be accurately classified. Moreover, few studies have applied the improvement girth difference model to body typing for the garment industry. Accordingly, this study attempts to identify body types using the improvement girth difference model as obtained from anthropometric data for garment production standards development. The proposed approach can reflect fine distinctions between figures. Body types and their distributions will have precisely identify and use in developing garment production standards. Furthermore, new garment production standards forecast production numbers and the proportion of sizes to be produced, leading to accurate production planning and material control. Unnecessary inventory costs and production waste resulting from sizing mismatches between finished garments and consumers thus can be minimized.
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