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    Multiobjective Trade-Off Optimization of Time, Cost, Quality, and Carbon Emission in the Building Construction Stage

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 004::page 04025009-1
    Author:
    Haixin Wang
    ,
    Xin Chen
    ,
    Jiaqi Wang
    ,
    Wenfeng Guan
    ,
    Shengsong Wei
    DOI: 10.1061/JCEMD4.COENG-15773
    Publisher: American Society of Civil Engineers
    Abstract: For a long time, the production management of the construction industry has been mostly based on experience, and there are often problems such as construction delays, high costs, quality defects, and serious pollution. In order to solve these problems, this paper introduces the quantitative methods of time, cost, quality, and carbon emission in the construction stage, constructs an optimization model of duration, cost, quality, and carbon emissions, and uses the ant colony optimization algorithm to solve the problem. Finally, through model simulation, the Pareto optimal solution is obtained, which proves the effectiveness of the method proposed in this paper. The research results of this paper can provide a feasible solution for decision-makers at construction sites, guiding on-site construction to achieve better production efficiency. At the same time, it offers a reference for construction management under the premise of low carbon in the construction industry. In addition, the method for quantifying carbon emissions during the construction phase proposed in this study can also provide a theoretical reference for future research on carbon emissions in the construction sector. Currently, most research focuses on macro-level carbon emissions of buildings across their life cycle, with limited attention to emissions during construction. Therefore, this paper leverages multiobjective and combinatorial optimization theories, incorporates actual construction processes, quantifies subobjectives, formulates multiple execution modes for each construction process, and establishes a multimode optimization model for construction duration, cost, quality, and carbon emissions. The ant colony algorithm is then used to solve the problem. Through this method, a feasible construction plan can be provided to construction site managers, who can guide the construction according to the plan and improve the extensive management of construction sites to reduce resource waste. The optimization of the construction process that takes carbon emissions into account also provides practical guidance for the sustainable development of the construction industry and the achievement of China’s dual carbon goals.
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      Multiobjective Trade-Off Optimization of Time, Cost, Quality, and Carbon Emission in the Building Construction Stage

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4304983
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    contributor authorHaixin Wang
    contributor authorXin Chen
    contributor authorJiaqi Wang
    contributor authorWenfeng Guan
    contributor authorShengsong Wei
    date accessioned2025-04-20T10:34:28Z
    date available2025-04-20T10:34:28Z
    date copyright1/22/2025 12:00:00 AM
    date issued2025
    identifier otherJCEMD4.COENG-15773.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304983
    description abstractFor a long time, the production management of the construction industry has been mostly based on experience, and there are often problems such as construction delays, high costs, quality defects, and serious pollution. In order to solve these problems, this paper introduces the quantitative methods of time, cost, quality, and carbon emission in the construction stage, constructs an optimization model of duration, cost, quality, and carbon emissions, and uses the ant colony optimization algorithm to solve the problem. Finally, through model simulation, the Pareto optimal solution is obtained, which proves the effectiveness of the method proposed in this paper. The research results of this paper can provide a feasible solution for decision-makers at construction sites, guiding on-site construction to achieve better production efficiency. At the same time, it offers a reference for construction management under the premise of low carbon in the construction industry. In addition, the method for quantifying carbon emissions during the construction phase proposed in this study can also provide a theoretical reference for future research on carbon emissions in the construction sector. Currently, most research focuses on macro-level carbon emissions of buildings across their life cycle, with limited attention to emissions during construction. Therefore, this paper leverages multiobjective and combinatorial optimization theories, incorporates actual construction processes, quantifies subobjectives, formulates multiple execution modes for each construction process, and establishes a multimode optimization model for construction duration, cost, quality, and carbon emissions. The ant colony algorithm is then used to solve the problem. Through this method, a feasible construction plan can be provided to construction site managers, who can guide the construction according to the plan and improve the extensive management of construction sites to reduce resource waste. The optimization of the construction process that takes carbon emissions into account also provides practical guidance for the sustainable development of the construction industry and the achievement of China’s dual carbon goals.
    publisherAmerican Society of Civil Engineers
    titleMultiobjective Trade-Off Optimization of Time, Cost, Quality, and Carbon Emission in the Building Construction Stage
    typeJournal Article
    journal volume151
    journal issue4
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15773
    journal fristpage04025009-1
    journal lastpage04025009-11
    page11
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 004
    contenttypeFulltext
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