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
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