Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model.
This study presents a systematic approach to enhance the efficiency of monocrystalline silicon photovoltaic module assembly lines using advanced simulation modeling. The research focuses on developing a high-fidelity virtual model of the production line to replicate its physical layout, workflow seq...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0325152 |
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| _version_ | 1850221392874700800 |
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| author | Yuxiang Liu Xinzhong Xia Jingyang Zhang Kun Wang Bo Yu Mengmeng Wu Jinchao Shi Chao Ma Ying Liu Boyang Hu Xinying Wang Bo Wang Ruzhi Wang Bing Wang |
| author_facet | Yuxiang Liu Xinzhong Xia Jingyang Zhang Kun Wang Bo Yu Mengmeng Wu Jinchao Shi Chao Ma Ying Liu Boyang Hu Xinying Wang Bo Wang Ruzhi Wang Bing Wang |
| author_sort | Yuxiang Liu |
| collection | DOAJ |
| description | This study presents a systematic approach to enhance the efficiency of monocrystalline silicon photovoltaic module assembly lines using advanced simulation modeling. The research focuses on developing a high-fidelity virtual model of the production line to replicate its physical layout, workflow sequences, and equipment interactions. Key assembly stages-including string welding, stacking, laminating, framing, and performance testing-are rigorously simulated to identify operational bottlenecks and inefficiencies. By analyzing workflow dynamics and resource utilization, targeted optimizations are proposed to streamline processes, reduce idle times, and improve throughput. Practical validation demonstrates that implementing these optimizations increases daily production output by over 6% and raises the production line balance rate by 5%, significantly lowering manufacturing costs while maintaining product quality. The methodology provides actionable insights for manufacturers to reconfigure production layouts, allocate resources effectively, and adapt to fluctuating market demands. This work bridges the gap between theoretical simulation and industrial implementation, offering a scalable framework for enhancing productivity, reducing waste, and advancing sustainable manufacturing practices in the photovoltaic sector. The findings highlight the critical role of simulation-driven strategies in addressing real-world engineering challenges and fostering cost-effective, high-efficiency production systems. |
| format | Article |
| id | doaj-art-2223b40a64314fad93891df0ea062946 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-2223b40a64314fad93891df0ea0629462025-08-20T02:06:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01206e032515210.1371/journal.pone.0325152Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model.Yuxiang LiuXinzhong XiaJingyang ZhangKun WangBo YuMengmeng WuJinchao ShiChao MaYing LiuBoyang HuXinying WangBo WangRuzhi WangBing WangThis study presents a systematic approach to enhance the efficiency of monocrystalline silicon photovoltaic module assembly lines using advanced simulation modeling. The research focuses on developing a high-fidelity virtual model of the production line to replicate its physical layout, workflow sequences, and equipment interactions. Key assembly stages-including string welding, stacking, laminating, framing, and performance testing-are rigorously simulated to identify operational bottlenecks and inefficiencies. By analyzing workflow dynamics and resource utilization, targeted optimizations are proposed to streamline processes, reduce idle times, and improve throughput. Practical validation demonstrates that implementing these optimizations increases daily production output by over 6% and raises the production line balance rate by 5%, significantly lowering manufacturing costs while maintaining product quality. The methodology provides actionable insights for manufacturers to reconfigure production layouts, allocate resources effectively, and adapt to fluctuating market demands. This work bridges the gap between theoretical simulation and industrial implementation, offering a scalable framework for enhancing productivity, reducing waste, and advancing sustainable manufacturing practices in the photovoltaic sector. The findings highlight the critical role of simulation-driven strategies in addressing real-world engineering challenges and fostering cost-effective, high-efficiency production systems.https://doi.org/10.1371/journal.pone.0325152 |
| spellingShingle | Yuxiang Liu Xinzhong Xia Jingyang Zhang Kun Wang Bo Yu Mengmeng Wu Jinchao Shi Chao Ma Ying Liu Boyang Hu Xinying Wang Bo Wang Ruzhi Wang Bing Wang Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model. PLoS ONE |
| title | Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model. |
| title_full | Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model. |
| title_fullStr | Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model. |
| title_full_unstemmed | Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model. |
| title_short | Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model. |
| title_sort | optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model |
| url | https://doi.org/10.1371/journal.pone.0325152 |
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