Dynamic Multi-objective Construction Site Layout Planning Based on BIM

Guowu Tao, Haibo Feng, Jingchun Feng*, Tianhao Wang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    29 Citations (Scopus)

    Abstract

    The planning effectiveness of construction site layout greatly influences construction efficiency. Many previous studies assumed that all the facilities exist on the construction sites for the whole duration of the projects. Some researchers found the shortcomings and developed models to improve it. But these models also have different limitations, such as ignoring the future impact of the layout decision in early construction phases on the later layout quality, only considering transportation costs when optimize the layouts, etc. To address these issues, this study proposes a building information modeling (BIM)-based model that dynamically optimizes the multi-objective construction site layout. In this model, BIM and construction schedules provide the updated construction project information. This model introduces the construction phase impact on layout. The layout of each construction phase is optimized in order of corresponding phase impact. Considering the sustainable development for construction industry, the noise pollution level is chosen to be the optimization objective together with the total transportation cost. In order to balance the noise pollution level and total transportation cost, the multi-objective particle swarm optimization (MOPSO) is applied to obtain trade-off solutions. A case study is presented to demonstrate the capability of the proposed model. The results indicate that the proposed dynamic construction site layout plan (CSLP) reduces transportation cost by 43.45% and 11.46% compared with the original and static construction site layout. This study breaks the traditional site layout plan order and locates the facilities in order of their phase impact, which can greatly reduce the transportation cost on the site. It also incorporates the noise pollution reduction into CSLP to enhance on-site sustainability.

    Original languageEnglish
    Pages (from-to)1522-1534
    Number of pages13
    JournalKSCE Journal of Civil Engineering
    Volume26
    Issue number4
    Early online date4 Feb 2022
    DOIs
    Publication statusPublished - 1 Apr 2022

    Keywords

    • Building information modeling (BIM)
    • Dynamic construction site layout planning
    • Multi-objective particle swarm optimization (MOPSO)
    • Noise pollution
    • Sustainability
    • Transportation cost

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