Dual-objective optimization of prefabricated component logistics based on JIT strategy
Abstract Prefabricated construction involves manufacturing components in a factory and then transporting them to a construction site for assembly, yielding resource savings and improved efficiency. However, the large size and weight of prefabricated components, along with strict delivery requirement...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-82689-w |
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| author | Chunli Zhang Jianbo Jiang Chaoming Xia Yan Fu Jun Liu Peng Duan |
| author_facet | Chunli Zhang Jianbo Jiang Chaoming Xia Yan Fu Jun Liu Peng Duan |
| author_sort | Chunli Zhang |
| collection | DOAJ |
| description | Abstract Prefabricated construction involves manufacturing components in a factory and then transporting them to a construction site for assembly, yielding resource savings and improved efficiency. However, the large size and weight of prefabricated components, along with strict delivery requirements, introduce logistical challenges, such as increased carbon emissions during transport and site congestion. This study addresses the dual-objective vehicle scheduling problem for prefabricated components. It proposes a dual-objective optimization model for prefabricated component logistics, guided by the Just-In-Time (JIT) strategy. The model comprehensively considers on-site and off-site logistics, accounts for uncertainties, and details the logistics process for each component. Its objectives are to reduce carbon emissions during logistics and enhance customer satisfaction. An improved Non-dominated Sorting Genetic Algorithm II (NSGA-II) is used to solve the model, offering enhanced solution diversity and local search capabilities. The model is validated through case studies, with sensitivity analyses conducted to further assess performance. Results indicate that the proposed model provides effective vehicle scheduling solutions that meet optimization objectives. Compared to traditional logistics models, the JIT logistics model demonstrates greater resilience to uncertainty, providing scientifically based decision support for logistics management in prefabricated construction. |
| format | Article |
| id | doaj-art-aad3edbe51f94e719f56fe4ca36627a0 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-aad3edbe51f94e719f56fe4ca36627a02024-12-29T12:30:53ZengNature PortfolioScientific Reports2045-23222024-12-0114111810.1038/s41598-024-82689-wDual-objective optimization of prefabricated component logistics based on JIT strategyChunli Zhang0Jianbo Jiang1Chaoming Xia2Yan Fu3Jun Liu4Peng Duan5Chongqing Jianzhu CollegeSchool of Management Science and Real Estate, Chongqing UniversitySchool of Management Science and Real Estate, Chongqing UniversitySchool of Management Science and Real Estate, Chongqing UniversityChina Construction Second Engineering Bureau Ltd.Chongqing Jianzhu CollegeAbstract Prefabricated construction involves manufacturing components in a factory and then transporting them to a construction site for assembly, yielding resource savings and improved efficiency. However, the large size and weight of prefabricated components, along with strict delivery requirements, introduce logistical challenges, such as increased carbon emissions during transport and site congestion. This study addresses the dual-objective vehicle scheduling problem for prefabricated components. It proposes a dual-objective optimization model for prefabricated component logistics, guided by the Just-In-Time (JIT) strategy. The model comprehensively considers on-site and off-site logistics, accounts for uncertainties, and details the logistics process for each component. Its objectives are to reduce carbon emissions during logistics and enhance customer satisfaction. An improved Non-dominated Sorting Genetic Algorithm II (NSGA-II) is used to solve the model, offering enhanced solution diversity and local search capabilities. The model is validated through case studies, with sensitivity analyses conducted to further assess performance. Results indicate that the proposed model provides effective vehicle scheduling solutions that meet optimization objectives. Compared to traditional logistics models, the JIT logistics model demonstrates greater resilience to uncertainty, providing scientifically based decision support for logistics management in prefabricated construction.https://doi.org/10.1038/s41598-024-82689-wPrefabricated componentsJIT logistics modeNSGA-IICustomer satisfaction |
| spellingShingle | Chunli Zhang Jianbo Jiang Chaoming Xia Yan Fu Jun Liu Peng Duan Dual-objective optimization of prefabricated component logistics based on JIT strategy Scientific Reports Prefabricated components JIT logistics mode NSGA-II Customer satisfaction |
| title | Dual-objective optimization of prefabricated component logistics based on JIT strategy |
| title_full | Dual-objective optimization of prefabricated component logistics based on JIT strategy |
| title_fullStr | Dual-objective optimization of prefabricated component logistics based on JIT strategy |
| title_full_unstemmed | Dual-objective optimization of prefabricated component logistics based on JIT strategy |
| title_short | Dual-objective optimization of prefabricated component logistics based on JIT strategy |
| title_sort | dual objective optimization of prefabricated component logistics based on jit strategy |
| topic | Prefabricated components JIT logistics mode NSGA-II Customer satisfaction |
| url | https://doi.org/10.1038/s41598-024-82689-w |
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