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    Optimal Construction Site Layout Considering Safety and Environmental Aspects

    Source: Journal of Construction Engineering and Management:;2008:;Volume ( 134 ):;issue: 007
    Author:
    Haytham M. Sanad
    ,
    Mohammad A. Ammar
    ,
    Moheeb E. Ibrahim
    DOI: 10.1061/(ASCE)0733-9364(2008)134:7(536)
    Publisher: American Society of Civil Engineers
    Abstract: A good site layout is vital to ensure the safety of the working environment and effective and efficient operations. Site layout planning has significant impacts on productivity, costs, and duration of construction. Construction site layout planning involves identifying, sizing, and positioning temporary and permanent facilities within the boundary of the construction site. Site layout planning can be viewed as a complex optimization problem. Although construction site layout planning is a critical process, systematical analysis of this problem is always difficult because of the existence of a vast number of trades and interrelated planning constraints. The problem has been solved using two distinct approaches: Optimization techniques and heuristics methods. Mathematical optimization procedures have been developed to produce optimal solutions, but they are only applicable for small-size problems. Artificial intelligent techniques have been used practically to handle real-life problems. On the other hand, heuristic methods have been used to produce good but not optimal solutions for large problems. In this paper, an optimization model has been developed for solving the site layout planning problem considering safety and environmental issues and actual distance between facilities. Genetic algorithms are used as an optimization bed for the developed model. In order to validate the performance of the developed model, a real-life construction project was tested. The obtained results proved that satisfactory solutions were obtained.
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      Optimal Construction Site Layout Considering Safety and Environmental Aspects

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    contributor authorHaytham M. Sanad
    contributor authorMohammad A. Ammar
    contributor authorMoheeb E. Ibrahim
    date accessioned2017-05-08T20:49:55Z
    date available2017-05-08T20:49:55Z
    date copyrightJuly 2008
    date issued2008
    identifier other%28asce%290733-9364%282008%29134%3A7%28536%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/28564
    description abstractA good site layout is vital to ensure the safety of the working environment and effective and efficient operations. Site layout planning has significant impacts on productivity, costs, and duration of construction. Construction site layout planning involves identifying, sizing, and positioning temporary and permanent facilities within the boundary of the construction site. Site layout planning can be viewed as a complex optimization problem. Although construction site layout planning is a critical process, systematical analysis of this problem is always difficult because of the existence of a vast number of trades and interrelated planning constraints. The problem has been solved using two distinct approaches: Optimization techniques and heuristics methods. Mathematical optimization procedures have been developed to produce optimal solutions, but they are only applicable for small-size problems. Artificial intelligent techniques have been used practically to handle real-life problems. On the other hand, heuristic methods have been used to produce good but not optimal solutions for large problems. In this paper, an optimization model has been developed for solving the site layout planning problem considering safety and environmental issues and actual distance between facilities. Genetic algorithms are used as an optimization bed for the developed model. In order to validate the performance of the developed model, a real-life construction project was tested. The obtained results proved that satisfactory solutions were obtained.
    publisherAmerican Society of Civil Engineers
    titleOptimal Construction Site Layout Considering Safety and Environmental Aspects
    typeJournal Paper
    journal volume134
    journal issue7
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(2008)134:7(536)
    treeJournal of Construction Engineering and Management:;2008:;Volume ( 134 ):;issue: 007
    contenttypeFulltext
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