基于NSGA-Ⅱ算法的服装生产流水线工序配置优化方法  

Optimization method for process configuration of clothing production assembly line based on NSGA-Ⅱalgorithm

作　　者：原竞杰[1] YUAN Jingjie(School of New Materials and Shoes and Clothing Engineering,Liming Vocational University,Quanzhou 362000,China)

机构地区：[1]黎明职业大学新材料与鞋服工程学院,福建泉州362000

出　　处：《河南工程学院学报(自然科学版)》2025年第1期13-17,25,共6页Journal of Henan University of Engineering:Natural Science Edition

基　　金：2020年福建省教育厅中青年教师教育科研项目(JAT201311)。

摘　　要：当服装生产车间的半成品堆放混乱时,不同的服装面料受到挤压、摩擦,易造成面料损坏或产生色差,这一状况降低了服装生产流水线的生产效率。为解决这一问题,提出了基于NSGA-Ⅱ算法的服装生产流水线工序配置优化方法。制定服装生产标准工时,包括最小化车缝时间与送布速度,建立服装生产流水线排序目标函数并设定约束条件,利用NSGA-Ⅱ算法求解目标函数,实现服装生产流水线工序配置优化。以某服装企业为例,对比优化前后该企业服装生产流水线工序配置效果,结果表明所提算法可有效降低时间损失率,使生产效率提升至98.3%。When the semi-finished products in the clothing production workshop are piled up in chaos,different clothing fabrics are squeezed and rubbed,causing fabric damage or color difference.This situation reduces the production efficiency of the clothing production line.To solve this problem,a clothing production assembly line process configuration optimization method based on NSGA-Ⅱalgorithm is proposed.The standard working hours for clothing production is developed,including minimum sewing time and fabric feeding speed,an objective function is established for sorting clothing production lines,and set constraints.Using the NSGA-Ⅱalgorithm process to solve the objective function and optimize the process configuration of the clothing production assembly line.Taking a certain clothing enterprise as an example,the effect of optimizing the process configuration of its clothing production line was compared with that before and after optimization.Example verification shows that the proposed algorithm can effectively reduce the time loss rate and improve production efficiency up to 98.3%.

关 键 词：NSGA-Ⅱ算法 服装生产 流水线优化 工序配置 

分 类 号：TS941[轻工技术与工程—服装设计与工程]