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西服定制吊挂生产线的筛选秩序优化
引用本文:谢子昂,杜劲松,余雅芸,陈清婷,费中华.西服定制吊挂生产线的筛选秩序优化[J].纺织学报,2021,42(10):150-156.
作者姓名:谢子昂  杜劲松  余雅芸  陈清婷  费中华
作者单位:1.东华大学 服装与艺术设计学院, 上海 2000512.东华大学 现代服装设计与技术教育部重点实验室,上海 2000513.浙江森马服饰股份有限公司, 浙江 温州 362000
基金项目:上海市设计学Ⅳ类高峰学科资助项目(DD17002);上海市经济与信息化委员项目(2019-GYHLW-004)
摘    要:针对西服大规模个性化定制中的服装部件间匹配周期长,筛选区的部件积压严重的现象,从优化西服投产秩序出发,构建部件同步生产模型,减少服装部件匹配时间和调动次数。本研究根据企业实际情况,采用遗传算法优化订单的投产安排,对西服生产车间中的48个款式、200件订单、36个工位等生产要素进行模拟仿真。实验结果表明:优化前投产规则的订单完成时间为26 784 s,优化后为25 134 s,效率提升了6.2%。采用优化后投产规则与吊挂生产线调度优化相结合的方式更能显著减少筛选区在制品数量,在制品部件积压峰值数由18件降低至9件,订单完成时间从原来的25 134 s降低至23 035 s,筛选区内平均调动在制品次数由2.89次减少至1.925次。

关 键 词:西服定制  服装大规模定制  遗传算法  吊挂生产线  
收稿时间:2020-11-16

Optimization of components screening for hanging production line in suit mass customization
XIE Ziang,DU Jinsong,YU Yayun,CHEN Qingting,FEI Zhonghua.Optimization of components screening for hanging production line in suit mass customization[J].Journal of Textile Research,2021,42(10):150-156.
Authors:XIE Ziang  DU Jinsong  YU Yayun  CHEN Qingting  FEI Zhonghua
Affiliation:1. College of Fashion and Design, Donghua University, Shanghai 200051, China2. Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, Shanghai 200051, China3. Zhejiang Semir Garment Co., Ltd., Wenzhou, Zhejiang 362000, China
Abstract:In order to solve the asynchronous production of each component of suit customization orders, and reduce the backlogs in screening area before assembly in cellular manufacturing mode of suit mass customization, an order sequencing model was established based on cellular manufacturing line, and the genetic algorithm was designed to optimize the order sequence, reduce the matching operations and to shorten the life cycle of customized orders. Then, simulations were conduct based on the real enterprise data including the 48 suit styles, 200 pieces orders, 4 hanging production lines, 36 workstations and the layout of the workshop. The result shows that the orders completion time of ordinary rule is 26 784 s and the optimization rule is 25 134 s, the efficiency improves 6.2%. The backlogs in store area are further improved by introducing the line scheduling methods: the backlogs is reduced from 18 to 9 pieces, completion time is reduced from 25 134 s to 23 035 s, the average movement of components in store area is reduced form 2.89 to 1.925.
Keywords:suit customization  garment mass customization  genetic algorithm  hanging production line  
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