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contributor authorHaixin Wang
contributor authorXin Chen
contributor authorJiaqi Wang
contributor authorWenfeng Guan
contributor authorShengsong Wei
date accessioned2026-02-16T21:33:14Z
date available2026-02-16T21:33:14Z
date copyright2025/04/01
date issued2025
identifier otherJCEMD4.COENG-15773.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4309375
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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