Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
---|---|---|
Article Number | 04004 | |
Number of page(s) | 10 | |
Section | Project Management | |
DOI | https://doi.org/10.1051/e3sconf/202340904004 | |
Published online | 01 August 2023 |
Multi-objective Optimization of Construction Project Time-Cost-Carbon Emission Based on BIM Technology
School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, People’s Republic of China
* e-mail: 290871340@qq.com
In the construction process, a large number of resources are consumed in a short period, leading to high intensity and concentration of carbon emissions. From the perspective of China’s Double Carbon Policy, a multiobjective optimization problem integrating BIM technology and intelligent optimization algorithm is proposed in this paper. Firstly, using BIM modeling software to construct a 3D model generates bills of quantities as the basis to obtain the initial research data. Then a mathematical model of time-cost-carbon emissions is constructed with the idea of multi-objective optimization and a double-layer encoding NSGA-II algorithm is designed to solve the optimal set of solutions for the combination of activity execution modes under the premise of satisfying the priority relationship. Finally, a construction project is used as a case to verify the feasibility and rationality of the problem proposed in this paper, and demonstrate that the method can effectively guide the optimization management of the construction process, reduce construction carbon emissions, and promote sustainability of the construction industry.
Key words: Multiobjective optimization / BIM / Project management / Carbon emission / NSGA-II
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.