Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (03): 155-160.doi: 10.13475/j.fzxb.20200700606

• Apparel Engineering • Previous Articles     Next Articles

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

ZHANG Suning1, WANG Ze2, MA Dali1()   

  1. 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 E-mail:madlhom@126.com

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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

CLC Number: 

  • TS941.62

Fig.1

Horizontal analysis chart of optimization algorithm"

Fig.2

Flow chart of improved ant colony algorithm"

Fig.3

Men's shirt process flow chart"

Fig.4

Assembly line layout and transmission path diagram"

Fig.5

Comparison chart of process flow optimization"

Fig.6

Optimized route map for shirt assembly line"

Fig.7

Simulation model of shirt assembly line"

Tab.1

Comparison of simulation results"

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
[1] 焦宏刚, 滕洪军. 浅谈精益生产在服装流水线中的应用[J]. 辽宁丝绸, 2017(4):30-33.
JIAO Honggang, TENG Hongjun. On the application of lean production in garment assembly line[J]. Liaoning Tussah Silk, 2017(4):30-33.
[2] 张阳阳, 陈娟, 刘繁. 中小型服装企业流水线改良及运用[J]. 纺织科技进展, 2020(5):22-24.
ZHANG Yangyang, CHEN Juan, LIU Fan. Improvement and application of assembly line in small and medium-sized garment enterprises[J]. Progress in Textile Science & Technology, 2020(5):22-24.
[3] 孙影慧, 杜劲松. 服装单件生产流水线仿真优化[J]. 东华大学学报(自然科学版), 2019,45(2):236-242.
SUN Yinghui, DU Jinsong. Simulation and optimization of garment production line[J]. Journal of Donghua University(Natural Science), 2019,45(2):236-242.
[4] 刘立枝, 闫亦农, 雒彬钰, 等. 模块化裤装缝制流水线的优化设计[J]. 毛纺科技, 2020,48(1):66-69.
LIU Lizhi, YAN Yinong, LUO Binyu, et al. Optimization design of modular trouser sewing line[J]. Wool Textile Journal, 2020,48(1):66-69.
[5] 宋莹. 服装单件流水线的虚拟仿真优化研究[J]. 纺织导报, 2020(5):85-88.
SONG Ying. Research on virtual simulation optimization of garment single piece assembly line[J]. China Textile Leader, 2020(5):85-88.
[6] 黄珍珍, 莫碧贤, 温李红. 基于遗传算法及仿真技术的服装生产流水线平衡[J]. 纺织学报, 2020,41(7):154-159.
HUANG Zhenzhen, MO Bixian, WEN Lihong. Garment production line balance based on genetic algorithm and simulation[J]. Journal of Textile Research, 2020,41(7):154-159.
[7] 郑刚, 谭民, 宋永华. 混杂系统的研究进展[J]. 控制与决策, 2004(1):7-11,16.
ZHENG Gang, TAN Min, SONG Yonghua. Research progress of hybrid systems[J]. Control and Decision, 2004(1):7-11,16.
[8] 张丽珍, 何龙, 吴迪, 等. 改进型蚁群算法在路径规划中的研究[J]. 制造业自动化, 2020,42(2):55-59.
ZHANG Lizhen, HE Long, WU Di, et al. Research on improved ant colony algorithm in path planning[J]. Manufacturing Automation, 2020,42(2):55-59.
[9] 刘德亮. 服装缝制标准工时研究[J]. 轻纺工业与技术, 2018,47(4):44-46,50.
LIU Deliang. Study on the standard man-hour of clothing sewing[J]. Light and Textile Industry and Technology, 2018,47(4):44-46,50.
[10] 于昕辰, 吴雄英, 丁雪梅. 计算机辅助服装流水线平衡优化设计进展[J]. 上海纺织科技, 2013,41(10):7-10.
YU Xinchen, WU Xiongying, DING Xuemei. The development of computer-aided balance optimization design of garment assembly line[J]. Shanghai Textile Science & Technology, 2013,41(10):7-10.
[11] 崔现海. 计算机技术辅助服装缝纫流水线优化设计研究[J]. 自动化与仪器仪表, 2018(2):123-125.
CUI Xianhai. Research on computer aided optimization design of garment sewing line[J]. Automation & Instrumentation, 2018(2):123-125.
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