Building Information Modeling (BIM) Workflow for Affordable Single-Family Housing
A multidisciplinary approach to solving community problems is one of the defining aspects of the phenomenon-driven research that takes place at Humber College. The project Building Information Modeling (BIM) Workflow for Affordable Single-Family Housing led by Professor Elizabeth Fenuta in the Faculty of Applied Sciences & Technology (FAST) at Humber embodies the multidisciplinary approach to solving a problem.
By combining the disciplines of architecture, design, engineering, and computer science, the project sought to test the redesign of tract houses and builder options, in an interchangeable way, and minimize the impact of the construction procurement process by utilizing the BIM workflow developed by BIM Studio.
The outcomes of the project were increasing speed, accuracy and efficiency when creating single-family dwellings along with creating the possibility of automation in a controlled facility.
The project was awarded the Natural Sciences and Engineering Research Council of Canada (NSERC) Engage grant ($25K) in 2020.
