GENERATIVE DESIGN FOR HDB HOUSING FOR PROJECT BUDGETING TO INCREASE CONSTRUCTION PRODUCTIVITY.

Abstract

The construction industry has long been fraught with productivity challenges and budgeting issues. This dissertation studies articles on Generative Design, HDB Construction Productivity and Project Budgeting. Despite Singapore Housing Development Board's comprehensive efforts to implement the various methods to improve its construction productivity, research has shown that Generative Design has yet to be implemented in their projects even though it has the potential to do so. Research has also shown that budget overruns have been a common issue for all construction projects. Due to the nature of construction projects, changes are made frequently, hence rendering the error-prone quantity take-off process long and repetitive. A case study on Japan's Daiwa House Industry carried out to prove the adoptability and effectiveness of Generative Design in the pre-construction stage. Daiwa’s House Industry took inspiration from Autodesk for its spatial design planning, by developing its custom generative design solution. The solution can generate an infinite amount of design possibilities that can address the complex construction process better, replacing their outdated design methods. Consequently, a Design Adoption Framework for HDB was developed to test its effectiveness. Results from the validation have proved the accuracy of automotive technology. After proving the adoptability and accuracy of the framework, the long tedious manual calculation will no longer be required. Manpower can hence be redirected to other phrases of the project, thereby, increasing construction productivity.