Multi-Objective Scheduling Optimization of Prefabricated Components Production Using Improved Non-Dominated Sorting Generic Algorithm II
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| 出版年: | Buildings vol. 15, no. 5 (2025), p. 742 |
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| 第一著者: | |
| その他の著者: | , , , , |
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MDPI AG
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| オンライン･アクセス: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/buildings15050742 |2 doi | |
| 035 | |a 3176295200 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231437 |2 nlm | ||
| 100 | 1 | |a Zhao, Yishi |u School of Computer Science, China University of Geosciences, Wuhan 430074, China; <email>zhaoyishi@cug.edu.cn</email> (Y.Z.); <email>du_shaokang@cug.edu.cn</email> (S.D.); <email>mhc2825458530@cug.edu.cn</email> (H.M.); <email>jgshang@cug.edu.cn</email> (J.S.); Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, Wuhan 430074, China | |
| 245 | 1 | |a Multi-Objective Scheduling Optimization of Prefabricated Components Production Using Improved Non-Dominated Sorting Generic Algorithm II | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The traditional construction industry is characterized by high energy consumption and significant carbon emissions, primarily due to its reliance on on-site manual labor and wet operations, which are not only low in mechanization but also result in low material efficiency and substantial construction waste. Prefabricated construction offers a new solution with its efficient production methods, significantly enhancing material utilization and construction efficiency. This paper focuses on the production scheduling optimization of prefabricated components. The production scheduling directly affects the construction speed and cost of prefabricated buildings. Given the complex modeling and numerous constraints faced by the production of prefabricated components, we propose an improved Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization. The algorithm incorporates adaptive operators and greedy concepts for local search, enhancing solution exploration and diversity. We segment the production of prefabricated components into six stages, analyzing dependencies and constraints, and form a comprehensive scheduling model with objectives of minimizing contract penalties, storage costs, and production time. Extensive experiments demonstrate that the improved NSGA-II provides a more balanced and larger set of solutions compared to baseline algorithms, offering manufacturers a wider range of options. This research contributes to the optimization of production scheduling in the prefabricated construction industry, supporting coordinated, sustainable, automated, and transparent production environments. | |
| 653 | |a Physical work | ||
| 653 | |a Algorithms | ||
| 653 | |a Mechanization | ||
| 653 | |a Production scheduling | ||
| 653 | |a Multiple objective analysis | ||
| 653 | |a Automation | ||
| 653 | |a Manufacturing | ||
| 653 | |a Construction industry wastes | ||
| 653 | |a Sorting algorithms | ||
| 653 | |a Energy consumption | ||
| 653 | |a Efficiency | ||
| 653 | |a Adaptive algorithms | ||
| 653 | |a Factories | ||
| 653 | |a Scheduling | ||
| 653 | |a Construction industry | ||
| 653 | |a Growth models | ||
| 653 | |a Prefabricated buildings | ||
| 653 | |a Genetic algorithms | ||
| 653 | |a Optimization | ||
| 653 | |a Emissions | ||
| 653 | |a Constraints | ||
| 653 | |a Optimization algorithms | ||
| 653 | |a Production methods | ||
| 700 | 1 | |a Du, Shaokang |u School of Computer Science, China University of Geosciences, Wuhan 430074, China; <email>zhaoyishi@cug.edu.cn</email> (Y.Z.); <email>du_shaokang@cug.edu.cn</email> (S.D.); <email>mhc2825458530@cug.edu.cn</email> (H.M.); <email>jgshang@cug.edu.cn</email> (J.S.) | |
| 700 | 1 | |a Tu, Ming |u Intelligent Construction System Research Institute, China Construction Third Engineering Buerau Group, Wuhan 430075, China; <email>tu_ming@139.com</email> | |
| 700 | 1 | |a Ma, Haichuan |u School of Computer Science, China University of Geosciences, Wuhan 430074, China; <email>zhaoyishi@cug.edu.cn</email> (Y.Z.); <email>du_shaokang@cug.edu.cn</email> (S.D.); <email>mhc2825458530@cug.edu.cn</email> (H.M.); <email>jgshang@cug.edu.cn</email> (J.S.) | |
| 700 | 1 | |a Shang, Jianga |u School of Computer Science, China University of Geosciences, Wuhan 430074, China; <email>zhaoyishi@cug.edu.cn</email> (Y.Z.); <email>du_shaokang@cug.edu.cn</email> (S.D.); <email>mhc2825458530@cug.edu.cn</email> (H.M.); <email>jgshang@cug.edu.cn</email> (J.S.); Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, Wuhan 430074, China | |
| 700 | 1 | |a Xiuqiao Xiang |u School of Computer Science, China University of Geosciences, Wuhan 430074, China; <email>zhaoyishi@cug.edu.cn</email> (Y.Z.); <email>du_shaokang@cug.edu.cn</email> (S.D.); <email>mhc2825458530@cug.edu.cn</email> (H.M.); <email>jgshang@cug.edu.cn</email> (J.S.); Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, Wuhan 430074, China | |
| 773 | 0 | |t Buildings |g vol. 15, no. 5 (2025), p. 742 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3176295200/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3176295200/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3176295200/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |