Abstract
In prefabricated construction, building components are manufactured off‐site before shipping to the site for installation. Accurate design and planning are essential for smooth on‐site execution and improved efficiency, which requires evaluations of various design options. However, due to the design process’s complexity, such evaluations cannot be achieved without automation and optimization. Meanwhile, the recent advancement of digital design technologies (e.g., building information modelling (BIM)) has enabled flexibility in the design process. The integration of BIM with other analytical algorithms also allows optimization of designs, such as the generative design that can parametrize the design. This study proposes a generative design approach that utilizes the optimization of the drywall installation layout to improve overall project efficiency. The framework includes a decision support module that considers environmental, cost, and aesthetic aspects to identify the optimal layout. The framework’s practical applicability has been successfully demonstrated through a case study. After implementation, three “best” design alternatives were found according to the decision aspects. The design improvements achieved were 37.5%, 7%, and 54% for the environmental, cost, and aesthetic factors, respectively. Accordingly, practitioners can make better decisions on planning drywall projects. This approach has proven effective in planning drywall installation and can be applied in similar design scenarios for other prefabricated construction processes.
Highlights
In prefabricated construction, building components are manufactured off-site before shipping to the site for installation
The recent advancement of digital design technologies (e.g., building information modelling (BIM)) has enabled flexibility in the design process. e integration of BIM with other analytical algorithms allows optimization of designs, such as the generative design that can parametrize the design. is study proposes a generative design approach that utilizes the optimization of the drywall installation layout to improve overall project efficiency. e framework includes a decision support module that considers environmental, cost, and aesthetic aspects to identify the optimal layout. e framework’s practical applicability has been successfully demonstrated through a case study
Practitioners can make better decisions on planning drywall projects. is approach has proven effective in planning drywall installation and can be applied in similar design scenarios for other prefabricated construction processes
Summary
Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction. Is study proposes a generative design approach that utilizes the optimization of the drywall installation layout to improve overall project efficiency. As BIM-related technologies have been developed, the design information from BIM can be incorporated into other analytical purposes in prefabrication, e.g., (1) enhanced manufacturing process and product evaluation in prefabrication [17,18,19], (2) BIM-enabled decision support tools (e.g., Internet of ings and radio frequency identification) in the prefabrication supply chain [6, 20,21,22,23,24], and (3) improvement of productivity and efficiency in the prefabrication processes [3, 25,26,27]. Is research proposes a BIM-based GD approach to optimize the sheathing layout arrangement in a prefabricated construction environment. A fuzzy analytical hierarchy process (AHP) methodology is implemented to prioritize management criteria and select the best layout option
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
