单次定制订单的青年女性群体服装定制号型  

Customized sizes for young women’s group clothing with a single customized order

作　　者：徐希朋 徐燕妮 季晓芬 XU Xipeng;XU Yanni;JI Xiaofen(School of Fashion Design&Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China;School of International Education,Zhejiang Sci-Tech University,Hangzhou 310018,China)

机构地区：[1]浙江理工大学服装学院,杭州310018 [2]浙江理工大学国际教育学院,杭州310018

出　　处：《丝绸》2023年第8期82-90,共9页Journal of Silk

基　　金：浙江省教育厅一般项目(21190071-F);浙江理工大学科研基金启动项目(21192116-Y);安徽省纺织工程技术研究中心、安徽省高等学校纺织面料重点实验室联合开放基金项目(2021AETKL03)。

摘　　要：为了满足消费者对于服装合体性的更高需求及企业提高服装定制生产效率的需要,文章提出考虑拟合度损失系数的青年女性服装定制号型的制定方法。使用三维人体扫描收集100名年龄在18~25周岁的青年女性的8项人体数据,包括身高、胸围、腰围、臀围、背长、肩宽、腿长和大腿围,采用主成分分析、相关性分析确定聚类的依据变量,使用拟合度损失系数方法确定聚类数,然后通过K均值聚类分析和线性回归分析得到定制号型表。为证实拟合度损失系数方法的优越性,另选取两种确定聚类数的方法混合F统计量和最终聚类中心距离和,设置对比实验。实验结果表明,考虑拟合度损失系数制定的服装号型相较其他两类方法,在合体性、覆盖率和生产效益等方面的综合考量更优。With the improvement of material living standards,consumers have a higher demand for fitting clothing.Due to the characteristics of low cost,high quality,and fast speed,mass customization of clothing has become an important way to meet the needs of consumers for high fitness and good production efficiency of enterprises.As the basis of mass customization of clothing,clothing size is prone to mismatches between size and individual body shape,making it difficult for clothing to meet consumers’higher fitness needs.Therefore,the technical methods for formulating clothing sizes should be innovated to further meet the needs of mass customization of clothing.To meet the higher demand of consumers for clothing fit and the need of enterprises to improve the production efficiency of clothing customization,a method for formulating customized sizes for young women’s clothing considering the loss coefficient of fit was proposed.Eight human body data were collected from 100 young women aged between 18 and 25 by using[TC]2 three-dimensional human body scanning.The measurement sites included height,chest circumference,waist circumference,hip circumference,back length,shoulder width,leg length,and thigh circumference.After performing data preprocessing on the collected initial human body data,we deleted the missing and abnormal values,and then performed a normal distribution test.It is verified that the data conform to normal distribution.We also performed principal component analysis on the pre-processed data to determine the number of components,and extracted two components with initial feature values greater than 1.After determining the basis variables for clustering through correlation analysis,the optimal number of clusters was determined by using the loss coefficient of fit method.Then,the sample data were classified through K-means clustering analysis,and the linear regression analysis was used to set the grade to obtain a customized size table.To prove the superiority of the loss coefficient of the fit method,two othe

关 键 词：服装批量定制 服装号型 聚类分析 拟合度损失系数 服装合体性 

分 类 号：TS941.17[轻工技术与工程—服装设计与工程]