International Conference on Construction and Real Estate Management 2020
Optimum Design of Construction Site Layout Based on SLP Method and Genetic Algorithm
Publication: ICCREM 2020: Intelligent Construction and Sustainable Buildings
ABSTRACT
Construction site layout is an important activity in on-site construction, which is to allocate appropriate locations for temporary facilities. A reasonable layout can greatly reduce the material handling cost and construction cycle, at the same time, raise the efficiency and utilization of labour and space. While, site layout planning is a complex multi-objective combination optimization problem. To overcome these problems, this paper proposed an approach for designing and optimizing the temporary facilities layout of construction site. First, systematic layout planning (SLP) method is applied to design the construction site layout based on logistics and non-logistics relationships between temporary facilities. After that, establishes a corresponding mathematical model that includes two objectives of flow intensity and adjacent strength according to the SLP method and uses an improved genetic algorithm to solve the optimization problem. Finally, a case study will be utilized to verify the effectiveness of this method.
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ACKNOWLEDGEMENTS
This work is financially supported by the Fundamental Research Funds for Central Universities (Project NO.2019CDSKXYJSG0041), the Youth Project of science and technology research program of Chongqing Education Commission of China (Project NO.KJQN201800125), the City Science of Chongqing.
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Information & Authors
Information
Published In
ICCREM 2020: Intelligent Construction and Sustainable Buildings
Pages: 71 - 83
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Thomas Olofsson, Ph.D., Luleå University of Technology, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8323-7
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Oct 14, 2020
Published in print: Oct 14, 2020
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