Automated post-simulation visualization of modular building production assembly line

  • Author / Creator
    Han, Sang Hyeok
  • Simulation is often used to model production processes with the aim of understanding and improving them. In many cases, however, information produced by simulation is not detailed enough and can be misinterpreted. The use of visualization in combination with simulation can provide project participants with a detailed-level model to prevent misinterpretation of information and to understand the production process. The purpose of this research is to automate the visualization process as a post-simulation tool through sharing interactive information between simulation and visualization. The proposed methodology has been applied to the production line of modular buildings with the output of lean, simulation, and visualization in the form of animation. Based on the new scheduling developed by applying lean principles, a simulation model was built and its output was extracted to an ASCII file used to build 3D visualization developed using Maxscript in 3D Studio Max for automation of visualization process.

  • 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
  • Supervisor / co-supervisor and their department(s)
    • Mohamed Al-Hussein (Civil and Environmental)
  • Examining committee members and their departments
    • Ioanis Nikolaids (Computing Science)
    • Saad Al-Jibouri (University of Twente,Netherlands)
    • Yasser Mohamed (Civil and Environmental)
    • Evan Davies (Civil and Environmental)