Thesis Abstract

Abstract
The construction industry is constantly evolving with advancements in technology, and one such innovation that has gained significant attention is Building Information Modeling (BIM). BIM is a digital representation of physical and functional characteristics of a building, providing a collaborative platform for stakeholders to design, construct, and manage buildings more efficiently. This thesis explores the integration of BIM in Quantity Surveying practices, aiming to understand how BIM can enhance the traditional processes of cost estimation, material take-off, and project management in the field of Quantity Surveying. The introduction sets the stage by highlighting the importance of BIM in the construction industry and the growing need for Quantity Surveyors to adapt to this technology. The background of the study provides an overview of BIM and its potential benefits in Quantity Surveying practices. The problem statement identifies the challenges faced by Quantity Surveyors in adopting BIM and the gaps in existing literature on this topic. The objectives of the study include investigating the impact of BIM on cost estimation accuracy, analyzing the efficiency of material take-off using BIM, and exploring the challenges and opportunities of integrating BIM in Quantity Surveying practices. The limitations of the study are also discussed, acknowledging the constraints in data availability and the complexity of BIM implementation. The scope of the study focuses on the application of BIM in Quantity Surveying processes, specifically in cost estimation and material take-off. The significance of the study lies in its potential to enhance the efficiency and accuracy of Quantity Surveying practices, leading to improved project outcomes and client satisfaction. The structure of the thesis outlines the chapters and sub-sections, providing a roadmap for the reader to navigate the research findings. The literature review delves into existing studies on BIM adoption in the construction industry, highlighting the benefits and challenges faced by stakeholders. The research methodology section details the approach taken to collect and analyze data, including case studies, surveys, and interviews with industry professionals. The findings from the study are presented in Chapter Four, discussing the impact of BIM on cost estimation accuracy, material take-off efficiency, and the overall benefits of integrating BIM in Quantity Surveying practices. In conclusion, this thesis emphasizes the potential of BIM to revolutionize Quantity Surveying practices, enhancing collaboration among stakeholders and improving project outcomes. The summary highlights the key findings of the study and offers recommendations for future research and industry implementation. Overall, this research contributes to the growing body of knowledge on BIM adoption in the construction industry and its implications for Quantity Surveying practices.

Thesis Overview