Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm
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 ca...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/21/4433 |
| _version_ | 1797631693534789632 |
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| author | Jianhui Wang Hanbin Xu Wenqiang Wu Dachang Zhu Zhongmin Xiao Guangxiang Qin Boji Li |
| author_facet | Jianhui Wang Hanbin Xu Wenqiang Wu Dachang Zhu Zhongmin Xiao Guangxiang Qin Boji Li |
| author_sort | Jianhui Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T11:25:51Z |
| format | Article |
| id | doaj.art-f2cd6319fcc241a08632d002707162db |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T11:25:51Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-f2cd6319fcc241a08632d002707162db2023-11-10T15:07:52ZengMDPI AGMathematics2227-73902023-10-011121443310.3390/math11214433Optimization of Curtain Wall Production Line Balance Based on Improved Genetic AlgorithmJianhui Wang0Hanbin Xu1Wenqiang Wu2Dachang Zhu3Zhongmin Xiao4Guangxiang Qin5Boji Li6School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaGuangzhou Bole Intelligent Technology Co., Guangzhou 511300, ChinaIn 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.https://www.mdpi.com/2227-7390/11/21/4433improved genetic algorithmsproduction line balance rateFlexsimintelligent production factory |
| spellingShingle | Jianhui Wang Hanbin Xu Wenqiang Wu Dachang Zhu Zhongmin Xiao Guangxiang Qin Boji Li Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm Mathematics improved genetic algorithms production line balance rate Flexsim intelligent production factory |
| title | Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm |
| title_full | Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm |
| title_fullStr | Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm |
| title_full_unstemmed | Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm |
| title_short | Optimization of Curtain Wall Production Line Balance Based on Improved Genetic Algorithm |
| title_sort | optimization of curtain wall production line balance based on improved genetic algorithm |
| topic | improved genetic algorithms production line balance rate Flexsim intelligent production factory |
| url | https://www.mdpi.com/2227-7390/11/21/4433 |
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