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

Jianhui Wang, Hanbin Xu, Wenqiang Wu (), Dachang Zhu, Zhongmin Xiao (), Guangxiang Qin and Boji Li
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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

Mathematics, 2023, vol. 11, issue 21, 1-13

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.

Keywords: improved genetic algorithms; production line balance rate; Flexsim; intelligent production factory (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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