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Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm

Author

Listed:
  • Jianhui Wang

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Hanbin Xu

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Wenqiang Wu

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Dachang Zhu

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Zhongmin Xiao

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Guangxiang Qin

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Boji Li

    (Guangzhou Bole Intelligent Technology Co., Guangzhou 511300, China)

Abstract

In recent years, construction engineering technology has been developing rapidly, and the application of curtain walls inside modern buildings is also increasing. However, with the increasing number of curtain wall orders, most factories are facing challenges in the market due to low productivity caused by a low balance rate of curtain wall production lines. This paper is useful in improving the balance rate of the curtain wall production line; firstly, we use the improved genetic algorithm to obtain the optimal sequencing scheme of the curtain wall production line. Then, the optimization plan is validated through FLEXSIM simulation, and the results show that the device utilization rate of each workstation reaches 80%. Finally, this paper designs an intelligent production factory for curtain walls, and then builds an intelligent production line for curtain wall columns for experiments. The experimental results show that the workstation operation time has been reduced from 360 s to 300 s; the production line balance rate has increased from 57.04% to 91.60%. Therefore, it can be concluded that the modified genetic algorithm is valid in improving the balance rate of curtain wall production lines and raising the production efficiency of enterprises.

Suggested Citation

  • Jianhui Wang & Hanbin Xu & Wenqiang Wu & Dachang Zhu & Zhongmin Xiao & Guangxiang Qin & Boji Li, 2023. "Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm," Mathematics, MDPI, vol. 11(21), pages 1-13, October.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:21:p:4433-:d:1267600
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    References listed on IDEAS

    as
    1. Boysen, Nils & Schulze, Philipp & Scholl, Armin, 2022. "Assembly line balancing: What happened in the last fifteen years?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 797-814.
    2. Ashish Yadav & Sunil Agrawal, 2022. "Mathematical model for robotic two-sided assembly line balancing problem with zoning constraints," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 395-408, February.
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