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Decision Support System for Crane Selection and Location Optimization on Construction Sites

  • Author / Creator
    Hasan, Md Shafiul
  • Selecting the most appropriate cranes and identifying ideal crane locations on site can improve the productivity and safety of large-scale construction projects. A significant proportion of crane accidents have been caused by improper crane selection, lack of a proper crane support system, or a failure to calculate actual support reactions. This research presents a methodology to select feasible crane and optimize crane locations by evaluating the crane support reactions. This research seeks to provide practitioners with a methodology for successful crane operations through the utilization of decision support system. The developed system assists in proper crane selection, and also calculates the crane support reactions in order to design the support system. The proposed methodology optimizes the load moments for all lifted loads in order to identify the ideal crane location, which can in turn assist in selecting the most appropriate crane. Three case studies are described in order to demonstrate the use of the presented methodology for improving crane operations. This research aims to establish crane operational standardization for large projects involving multiple heavy lifts, such as modular building construction and Alberta Oil-Sands projects.

  • Subjects / Keywords
  • Graduation date
    2013-11
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/R3QZ22R6C
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Doctoral
  • Department
    • Department of Civil and Environmental Engineering
  • Specialization
    • Construction Engineering and Management
  • Supervisor / co-supervisor and their department(s)
    • Al-Hussein, Mohamed (Department of Civil and Environmental Engineering)
    • Bouferguene, Ahmed (Campus Saint-Jean)
  • Examining committee members and their departments
    • Lipsett, Michael (Department of Mechanical Engineering)
    • Bayat, Alireza (Department of Civil and Environmental Engineering)
    • Hong, Won-Kee (Department of Architectural Engineering, Kyung Hee University, Korea)
    • Al-Hussein, Mohamed (Department of Civil and Environmental Engineering)
    • Mohamed, Yasser (Department of Civil and Environmental Engineering)
    • Bouferguene, Ahmed (Campus Saint-Jean)