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Construction Site Layout Planning Using a Simulation-Based Decision Support Tool

Author

Listed:
  • SeyedReza RazaviAlavi

    (Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada
    Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK)

  • Simaan AbouRizk

    (Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada)

Abstract

Background : A site layout plan is one of the important decisions to be made in the planning phase of each construction project as it can significantly impact on-site transportation, construction logistics, and safety. This decision could be complicated owing to the uncertainties inherent in construction projects and the complex relationships between the influencing factors and decision variables. Methods : To improve site layout planning, this study aims to develop a simulation-based decision support tool (DST) that enables planners to consider the following: (1) construction uncertainties, (2) construction resources (i.e., material, equipment, and workers), (3) site layout constraints, and (4) mutual impacts between site layout and construction plan variables, for site layout planning of construction projects. Results : The developed DST visualizes the site layout plan within a simulation environment and provides seamless interactions between the site layout model and the simulation model. These capabilities facilitate planning construction site layout using simulation by establishing two-way information flows between the site layout and simulation components, which can further promote application of simulation in construction site layout planning. Usefulness and practicality of the proposed DST is demonstrated in site layout planning of a steel erection project. Conclusions : Using this DST can reduce some common wastes in construction projects and the cost associated with them, including on-site transportation, material handling and storage, and waiting time for the material arrival.

Suggested Citation

  • SeyedReza RazaviAlavi & Simaan AbouRizk, 2021. "Construction Site Layout Planning Using a Simulation-Based Decision Support Tool," Logistics, MDPI, vol. 5(4), pages 1-25, September.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:4:p:65-:d:640539
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    References listed on IDEAS

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    1. Zakaria Dakhli & Zoubeir Lafhaj, 2018. "Considering Materials Management in Construction: An Exploratory Study," Logistics, MDPI, vol. 2(1), pages 1-13, March.
    2. Meir J. Rosenblatt, 1986. "The Dynamics of Plant Layout," Management Science, INFORMS, vol. 32(1), pages 76-86, January.
    3. Wegelius-Lehtonen, Tutu, 2001. "Performance measurement in construction logistics," International Journal of Production Economics, Elsevier, vol. 69(1), pages 107-116, January.
    4. McKendall Jr., Alan R. & Hakobyan, Artak, 2010. "Heuristics for the dynamic facility layout problem with unequal-area departments," European Journal of Operational Research, Elsevier, vol. 201(1), pages 171-182, February.
    5. Viktoria Sundquist & Lars-Erik Gadde & Kajsa Hulthén, 2018. "Reorganizing construction logistics for improved performance," Construction Management and Economics, Taylor & Francis Journals, vol. 36(1), pages 49-65, January.
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    Cited by:

    1. Gang Yao & Rui Li & Yang Yang, 2023. "An Improved Multi-Objective Optimization and Decision-Making Method on Construction Sites Layout of Prefabricated Buildings," Sustainability, MDPI, vol. 15(7), pages 1-23, April.

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