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Irregular Dynamic Site Layout Optimization Model

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Proceedings of the Canadian Society of Civil Engineering Annual Conference 2022 (CSCE 2022)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 363))

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Abstract

When site space is limited, construction site layout planning plays a critical role in the safety and productivity of all operations. As the construction progresses, dynamic planning for the site layout becomes a need to match the project progress. Proper layout planning should take into account the productivity of operations, minimizing the in-situ travel time, the dynamic nature of site operations, and safety regulations implementation on site. This paper is a continuation of the previous work tackling irregular site layout planning, where it presents a new model approach for optimizing the dynamic planning of site layout with safety consideration. This model’s algorithm shows high performance in tackling complex projects with limited run time compared to other work in literature. The model showcases an automated mapping tool in conjunction with a dynamic scheduling observing safety to produce the optimized site layout using genetic algorithms. To demonstrate the benefits of the proposed model approach, the case study presented in the “Dynamic Layout of Construction Temporary Facilities Considering Safety” paper is taken as the performance reference to verify and validate the model’s output. Examination of the results and the comparative analysis is performed to demonstrate the variance between the outputs of the existing reference model, and this model performed herein.

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References

  1. Abotaleb I, Nassar K, Hosny O (2016) Layout optimization of construction site facilities with dynamic freeform geometric representations. Autom Constr 66:15–28

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Correspondence to Heba Kh. Gad .

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© 2023 Canadian Society for Civil Engineering

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Gad, H.K. et al. (2023). Irregular Dynamic Site Layout Optimization Model. In: Gupta, R., et al. Proceedings of the Canadian Society of Civil Engineering Annual Conference 2022. CSCE 2022. Lecture Notes in Civil Engineering, vol 363. Springer, Cham. https://doi.org/10.1007/978-3-031-34593-7_25

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  • DOI: https://doi.org/10.1007/978-3-031-34593-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34592-0

  • Online ISBN: 978-3-031-34593-7

  • eBook Packages: EngineeringEngineering (R0)

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