首页|基于遗传算法的服装缝制流水线编排优化

基于遗传算法的服装缝制流水线编排优化

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在服装缝制生产线的编排过程中,若忽视了缝制设备的数量配置或工位工序的分配类型,可能会导致流水线的实用性不足.为解决这一问题,本文提出了一种以最小化生产节拍和工序关联指数为优化目标的服装缝制流水线编排模型.该模型采用遗传算法对流水线设计进行优化,不仅考虑了缝制生产工序的优先级、可用设备的数量和工序分配的约束条件,还根据缝制工艺的特点设置了并行工位,并对熨烫工序进行了编组,实现了流水线的平衡.结果显示:优化后的流水线上工位工序关联指数为2.27,显示工作负荷分配合理,能较好保证各工位进行有效稳定的生产;流水线编制效率提升至90.67%,均衡指数降至2.87,表明本方法可以有效实现服装缝制流水线编排优化目标,满足实际应用所需.
Optimization of Garment Sewing Assembly Line Arrangement Based on Genetic Algorithm
To address the issue of poor practicality of the garment sewing assembly line arrangement caused by igno-ring factors such as the number of sewing equipment configurations or the types of workstation process allocations.A model was constructed that met the constraints of sewing production process priority,number of available equip-ment,and process allocation.Parallel workstations were set according to the characteristics of the sewing process and the ironing processes were grouped,with the goal of minimizing the cycle time and index of work relations.Then the genetic algorithm was used to optimize the assembly line design.The results show that the index of the work relation was 2.27,indicating that the workload of each workstation was reasonably distributed to better ensure effective and stable production at each workstation.The efficiency of the assembly line increased to 90.67%,and the line balance index was reduced to 2.87,indicating that the proposed method could effectively achieve the opti-mization goal of the garment sewing assembly line to meet the requirements of practical applications.

garment productionassembly line balanceassembly line arrangementprocess arrangementgenetic algorithmstandard operation time

邵一兵、汤梦娜、郑孟琳、徐鑫、季晓芬

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浙江理工大学国际教育学院,浙江 杭州 310014

浙江理工大学服装学院,浙江 杭州 310014

江南布衣服饰有限公司,浙江 杭州 310063

杭州柚凡信息科技有限公司,浙江 杭州 310018

中国丝绸博物馆,浙江 杭州 310002

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服装生产 流水线平衡 流水线编排 工序编排 遗传算法 标准作业时间

2024

北京服装学院学报(自然科学版)
北京服装学院

北京服装学院学报(自然科学版)

影响因子:0.17
ISSN:1001-0564
年,卷(期):2024.44(4)