基于仿真区域性数据的服装团体定制归号机制  

Garment group customization sizing mechanism based on simulated size data

作　　者：聂梓萌 杜劲松[1,2] 朱建龙 岳春明 葛旭光 NIE Zimeng;DU Jinsong;ZHU Jianlong;YUE Chunming;GE Xuguang(College of Fashion and Design,Donghua University,Shanghai 200051,China;Key Laboratory of Clothing Design and Technology,Ministry of Education,Donghua University,Shanghai 200051,China;Hta Group Co.,Ltd.,Jiangyin,Jiangsu 214426,China;Fujian Xiling Clothing Co.,Ltd.,Quanzhou,Fujian 362201,China)

机构地区：[1]东华大学服装与艺术设计学院,上海200051 [2]东华大学现代服装设计与技术教育部重点实验室,上海200051 [3]海澜之家集团股份有限公司,江苏江阴214426 [4]福建省希领服饰有限责任公司,福建泉州362201

出　　处：《纺织学报》2023年第5期191-197,共7页Journal of Textile Research

基　　金：中央高校基本科研业务费专项资金资助项目(2232020G)。

摘　　要：在服装团体定制市场快速发展的背景下,为探究适应不同团体客户的定制方案,解决区域性大规模人体尺寸数据收集难的问题,优化团体定制归号流程和提升团体订单风格统一性,采用蒙特卡罗方法仿真区域性团体尺寸测量数据,建立区域性团体号型规格表(RGS),并提出基于比例方法归号流程,优化归号结构链。结果表明:仿真数据与初始订单数据的散点图分布一致,仿真尺寸数据均呈正态分布,达到预期仿真目标。分别采用企业初始号型规格表(EIS)和区域性团体号型规格表对订单尺寸进行归号,RGS归号结果评价等级优秀转化为47.4%,表明优化的归号流程有效,且RGS更贴合目标区域人群体型,号型覆盖评价结果显示RGS对区域人群的整体覆盖效果显著。Objective In the context of the rapid development of group customization of garment,this paper aims to solve the current problem of regional size system establishment of group customization,optimize the group customization number sizing process,and improve the style unity of group orders.Method The Monte Carlo method was adopted to simulate the regional group size measurement data,and the regional group size system(RGS)was established based on the K-means clustering analysis results of the simulation data and the size proportion coefficient of the enterprise initial size system(EIS)and the sizing process of the group order was realized by using RGS.The sizing results were evaluated by comprehensive fit and aggregate loss.Results The scatter diagram of chest grith/garment length of 10000 sets of data was simulated by Monte Carlo method.The scatter diagram distribution and frequency distribution statistics of simulation data and real data were consistent(Fig.4),suggesting that the simulated data from the simulation model could be used as the target data of the next experiment.The clustering center of the simulation data clustering analysis results was tested(Tab.2).Based on the clustering center and EIS,the regional group size system RGS was established through the size system establishment process.19 Types of RGS were involved in the research(Tab.4).Each size contained 4 important primary dimensions,i.e.chest grith,garment length,across shoulder and sleeve length.It was found that 4 sizes determining the style of garment were mid waist,hipline,sleeve bicep,and cuff.The same circumference or width transverse parameter has 3 length index values to match,and there were more size combination.Compared with EIS,RGS established on the basis of simulation data demonstrated a significant effect on the overall coverage of regional population.The comprehensive fit results showed that RGS can cover most target groups(Fig.5).The size data of the orders containing 218 people of the enterprise were matched by EIS and RGS,respect

关 键 词：服装团体定制 数据仿真 K-MEANS聚类算法 蒙特卡罗方法 服装归号 

分 类 号：TS941[轻工技术与工程—服装设计与工程]