Automation of Quantity Takeoff and Material Optimization for Residential Construction Manufacturing

  • Author / Creator
    Zhao, Hongru
  • Quantity takeoff is repetitive work in the modular construction industry. The current process, which is typically carried out manually, is time consuming and error-prone. This thesis proposes a methodology to automate the quantity takeoff process. The central aim of this research is to create a bridge between the building information modelling (BIM) 3D model and a database that can be used to hold data extracted from the model. This bridge allows the automatic transfer of material quantities from the BIM model to the database. Another issue associated with residential construction is material waste, especially for 1D and 2D framing materials, which is caused by insufficient planning of cutting processes. Hence, this thesis also presents a methodology to optimize material usage (focusing on lumber and sheathing). 1D and 2D materials are extracted from the BIM 3D model and then organized in order to establish optimized lumber and sheathing cutting plans.

  • Subjects / Keywords
  • Graduation date
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • 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
  • Institution
    University of Alberta
  • Degree level
  • Department
    • Department of Civil and Environmental Engineering
  • Specialization
    • Construction Engineering & Management
  • Supervisor / co-supervisor and their department(s)
    • Mohamed Al-Hussein (Civil and Environmental Engineering)
    • Ahmed Bouferguene (Civil and Environmental Engineering)
  • Examining committee members and their departments
    • Marwan El-Rich (Civil and Environmental Engineering)
    • Ahmed Bouferguene (Civil and Environmental Engineering)
    • Mohamed Al-Hussein (Civil and Environmental Engineering)
    • SangUk Han (Civil and Environmental Engineering)