Building Information Modeling for Construction Site Layout Planning

Main Article Content

Narongrit Wongwai
Nujet Butsan
Suphawut Malaikrisanachalee

Abstract

The planning of construction site layouts is a critical challenge in construction projects, requiring the allocation of suitable positions for temporary facilities and material storage areas within project boundaries and at appropriate time intervals. Failure to do so can result in significant losses and repercussions. This study aims to develop a construction site layout model by identifying optimal position for tower cranes and construction material storage area that are both feasible and efficient, presented in a format that mirrors reality. The methodology extends beyond merely considering the distance of material movement during construction activities. It aligns time intervals with project scheduling to reduce costs related to crane rental, transportation, storage facilities, material shortages, and opportunity costs. The application of a genetic algorithm is employed to discover the best solutions for positioning tower cranes and storage areas. This approach offers the advantage of approximating the best possible solution and revealing trends in improved solutions. The methodology has been applied to a case study project, illustrating that the development of construction site layouts by identifying optimal positions for tower cranes and construction material storage areas can significantly reduce material movement distances, resulting in reduced time and costs.

Article Details

Section
Research Article

References

H. Zhang and J. Y. Wang, “Particle swarm optimization for construction site unequal-area layout,” J. Constr. Eng. Manag., vol. 134, no. 9, pp. 739–748, 2008.

M. Marzouk and A. Abubakr, “Decision support for tower crane selection with building information models and genetic algorithms,” Autom. Constr., vol. 61, pp. 1–15, 2016.

M. A. Abdelmegid, K. M. Shawki, and H. Abdel-Khalek, “GA optimization model for solving tower crane location problem in construction sites,” Alex. Eng. J., vol. 54, no. 3, pp. 519–526, 2015.

C. M. Tam, T. K. L. Tong, and W. K. W. Chan, “Genetic algorithm for optimizing supply locations around tower crane,” J. Constr. Eng. Manag., vol. 127, no. 4, pp. 315–321, 2001.

M. Al-Hussein, M. A. Niaz, H. Yu, and H. Kim, “Integrating 3D visualization and simulation for tower crane operations on construction sites,” Autom. Constr., vol. 15, no. 5, pp. 554–562, 2006.

K. Alkriz and J. C. Mangin, “A new model for optimizing the location of cranes and construction facilities using genetic algorithms,” in Proc. 21st Annu. ARCOM Conf., London, UK, 2005, pp. 981–991.

C. Huang, C. K. Wong, and C. M. Tam, “Optimization of tower crane and material supply locations in a high-rise building site by mixed-integer linear programming,” Autom. Constr., vol. 20, no. 5, pp. 571–580, 2011.

J. Irizarry and E. P. Karan, “Optimizing location of tower cranes on construction sites through GIS and BIM integration,” J. Inf. Technol. Constr., vol. 17, no. 23, pp. 351–366, 2012.

L.-C. Lien and M.-Y. Cheng, “Particle bee algorithm for tower crane layout with material quantity supply and demand optimization,” Autom. Constr., vol. 45, pp. 25–32, 2014.