Thesis Abstract

Abstract
Building Information Modelling (BIM) has emerged as a transformative technology in the construction industry, offering significant benefits in terms of efficiency, collaboration, and cost management. This thesis explores the application of BIM in Quantity Surveying for enhancing cost estimation and project management processes. The research investigates how BIM can improve the accuracy and reliability of cost estimates, enhance project planning and scheduling, and facilitate better communication and coordination among project stakeholders. The study begins with an introduction to the background of BIM and Quantity Surveying, highlighting the current challenges and limitations in traditional cost estimation and project management practices. The problem statement underscores the need for more advanced tools and methodologies to address these challenges effectively. The objectives of the study are defined to assess the impact of BIM on cost estimation accuracy, project planning efficiency, and overall project performance. The research methodology section outlines the approach taken to gather and analyze data, including a review of relevant literature, case studies, and interviews with industry experts. The findings from the study are discussed in detail, focusing on the benefits of implementing BIM in Quantity Surveying processes, such as improved cost transparency, reduced errors, and enhanced decision-making capabilities. The conclusion summarizes the key findings and emphasizes the significance of integrating BIM into Quantity Surveying practices to improve project outcomes and ensure long-term sustainability in the construction industry. The study underscores the need for further research and development in this area to fully realize the potential of BIM in transforming cost estimation and project management processes. Overall, this thesis contributes to the growing body of knowledge on the application of BIM in Quantity Surveying and provides valuable insights for industry practitioners, academics, and policymakers seeking to leverage technology for enhanced project performance and cost efficiency.

Thesis Overview