基于改进蚁群算法的Flexsim衬衣流水线仿真优化

doi:10.13475/j.fzxb.20200700606

纺织学报 ›› 2021, Vol. 42 ›› Issue (03): 155-160.doi: 10.13475/j.fzxb.20200700606

基于改进蚁群算法的Flexsim衬衣流水线仿真优化

张苏宁¹, 王泽², 马大力¹()

1.天津工业大学纺织科学与工程学院, 天津 300387
2.天津工业大学电气工程与自动化学院, 天津 300387

收稿日期:2020-07-02 修回日期:2020-12-10 出版日期:2021-03-15 发布日期:2021-03-17
通讯作者: 马大力
作者简介:张苏宁(1995—),女,硕士。主要研究方向为服装生产数字化管理。

Simulation and optimization of Flexsim shirt assembly line based on improved ant colony algorithm

ZHANG Suning¹, WANG Ze², MA Dali¹()

1. School of Textiles Science and Engineering, Tiangong University, Tianjin 300387, China
2. School of Electrical Engineering and Automation, Tiangong University, Tianjin 300387, China

Received:2020-07-02 Revised:2020-12-10 Online:2021-03-15 Published:2021-03-17
Contact: MA Dali

摘要/Abstract

摘要：

针对服装流水线存在作业负荷不均、加工周期长,传统编排优化方式对其生产效率提升程度有限的问题,围绕在制品传递时间和传递路径2个因素,以工厂男衬衣流水线为例,利用改进蚁群算法和Flexsim软件对流水线进行优化与虚拟仿真研究。首先对流水线进行拆组优化,编制效率由原来的54.07%升至75.95%。瓶颈工序的耗时降低,但流水线的效率仍有待提升。在此基础上使用改进蚁群算法进行二次优化,通过搭建流水线数学模型与仿真模型,利用Flexsim进行模拟。运行结果表明,日产量由一次优化后的498件升至592件,生产效率较之前又有进一步地提升,流水线编制效率提升到88.96%,证明改进蚁群算法和Flexsim软件可对服装流水线进行仿真优化,并具有普适性。

关键词: 衬衣, 服装流水线, 生产平衡率, Flexsim软件, 流水线仿真, 改进蚁群算法

Abstract:

Aiming at the problems of uneven load, long fabrication cycle and limited improvement in production efficiency by traditional layout optimization method of garment assembly line, research optimization and simulation of garment assembly line was carried out, taking men's shirt assembly line as an example, based on the use of the improved ant colony optimization (IACO) algorithms and Flexsim software, focusing on the two factors of product delivery time and delivery path. Garment assembly line was disassembled and optimized at first, which led to the increase of establishment efficiency from 54.07% to 75.95%. The time of bottleneck was reduced, but the efficiency of garment assembly line still needed to be increase. On this basis, using IACO for secondary optimization, the mathematical and simulated model on assembly line was constructed, and Flexsim simulation showed that the daily output increased from 498 to 592 pieces, the efficiency was further improved, and establishment efficiency increased to 88.96%. The work demonstrated the suitability of IACO and Flexsim for optimization and simulation of garment assembly line, and for wider applications too.

Key words: shirt, garment assembly line, production balance rate, Flexsim software, assembly line simulation, improved ant colony algorithm

中图分类号:

TS941.62

张苏宁, 王泽, 马大力. 基于改进蚁群算法的Flexsim衬衣流水线仿真优化[J]. 纺织学报, 2021, 42(03): 155-160.

ZHANG Suning, WANG Ze, MA Dali. Simulation and optimization of Flexsim shirt assembly line based on improved ant colony algorithm[J]. Journal of Textile Research, 2021, 42(03): 155-160.

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流水线状态	单批传递时间/s	日产量/件
优化前	180.486 2	498
优化后	138.414 3	592

基于改进蚁群算法的Flexsim衬衣流水线仿真优化

Simulation and optimization of Flexsim shirt assembly line based on improved ant colony algorithm

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