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GA-ANN model for optimizing the locations of tower crane and supply points for high-rise public housing construction

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  • C. M. Tam
  • Thomas Tong

Abstract

Site layout planning is a complicated issue due to the existence of a vast number of trades and inter-related planning constraints. In this paper, artificial neural networks are used to model the non-linear operations of a key site facility: a tower crane — for high-rise public housing construction. Then genetic algorithms are used to determine the locations of the tower crane, supply points and demand points by optimizing the transportation time and costs. The scope of this study confines to a defined area of construction: the structural concrete-frame construction stage of public housing projects. The developed genetic algorithm model for site facility layout and the artificial neural network model for predicting tower-crane operations are evaluated using a practical example. The optimization results of the example are very promising and it demonstrates the application value of the models.

Suggested Citation

  • C. M. Tam & Thomas Tong, 2003. "GA-ANN model for optimizing the locations of tower crane and supply points for high-rise public housing construction," Construction Management and Economics, Taylor & Francis Journals, vol. 21(3), pages 257-266.
    • Handle: RePEc:taf:conmgt:v:21:y:2003:i:3:p:257-266
    DOI: 10.1080/0144619032000049665
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    Citations

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    Cited by:

    1. Xuefeng Zhao & Haodong Chen & Jing Liu & Jiaqi Liu & Meng Zhang & Yibing Tao & Junbo Li & Xuyang Wang, 2023. "Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    2. Pém Attila & Mályusz Levente, 2016. "Arrangement of material depots for line segment– modeled structures using continuous conditions," Organization, Technology and Management in Construction, Sciendo, vol. 8(1), pages 1518-1527, December.
    3. Briskorn, Dirk & Dienstknecht, Michael, 2020. "Covering polygons with discs: The problem of crane selection and location on construction sites," Omega, Elsevier, vol. 97(C).
    4. K. C. Lam & C. M. Tang & W. C. Lee, 2005. "Application of the entropy technique and genetic algorithms to construction site layout planning of medium-size projects," Construction Management and Economics, Taylor & Francis Journals, vol. 23(2), pages 127-145.

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