Abstract
Faced with immense pressure to reduce environmental impact, off-site construction (OSC) is considered a sustainable alternative to conventional practices. However, challenged by component diversity and a significant surge in demand, deficient or empirical-based scheduling management struggles to effectively harness the potential of mixed-flow precast production to improve efficiency, instead resulting in environmental impacts, and falling short of expected benefits in OSC projects. Therefore, this study addresses the conflict between efficiency and environmental impact arising from the application of mixed-flow precast production by integrating multi-objective optimization and group technology. A multi-objective optimization framework is proposed, incorporating grouping technology for mixed-flow precast production scheduling and aiming to minimize carbon emissions and reduce tardiness/earliness penalty. The non-dominated sorting genetic algorithm II (NSGA-II), adjusted by adaptive population initialization strategy and group technology, is introduced to solve this problem, striking a balance between sustainability and penalty costs. Through a real-case analysis, the proposed approach demonstrates an average reduction of 37.5% in carbon emissions compared to rule-based scheduling methods, a 30.1% reduction compared to previous research methods, along with over 10% reduction in tardiness/earliness penalty. This study enhances environmental benefits and efficiency from a production scheduling perspective and establishes an automated, practical method, fostering low-cost, high-efficiency green production for construction component enterprises, particularly for small and medium-sized enterprises, thereby promoting sustainable development in the construction industry.
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All data generated or analyzed during the current study are presented in this article. Raw data will also be accessible from the author group if requested.
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Funding
This research was funded by the Natural Science Foundation of Shandong Province (No. ZR2021QG046), the National Natural Science Foundation of China (No. 72371050 and 72071027), the Outstanding Youth Innovation Team Foundation of Shandong Province in China (No. 2022RW036), and the China Postdoctoral Science Foundation (No. 2022M712047).
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Ruiyan Zheng proposed the methodology, conducted the case study, and wrote the first draft of this paper. Zhongfu Li and Long Li supervised this project, reviewed the results, and edited the manuscript. Shengbin Ma and Xiaodan Li supervised and revised the draft.
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Zheng, R., Li, Z., Li, L. et al. Group technology empowering optimization of mixed-flow precast production in off-site construction. Environ Sci Pollut Res 31, 11781–11800 (2024). https://doi.org/10.1007/s11356-024-31859-4
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DOI: https://doi.org/10.1007/s11356-024-31859-4