Thesis Abstract

Abstract
This thesis investigates the application of Building Information Modeling (BIM) in enhancing cost estimation and quantity takeoff processes within the field of Quantity Surveying. BIM technology has emerged as a revolutionary tool in the construction industry, offering advanced capabilities for project visualization, coordination, and data management. The primary objective of this study is to explore how BIM can optimize cost estimation accuracy and streamline quantity takeoff procedures, thereby improving overall project efficiency and cost control. Chapter one provides an introduction to the research topic, outlining the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. The chapter also includes definitions of key terms relevant to the study. Chapter two presents a comprehensive literature review, encompassing ten key areas related to BIM applications in Quantity Surveying. The review delves into existing studies, methodologies, tools, and best practices to provide a solid foundation for the research. Chapter three details the research methodology employed in this study. It includes descriptions of the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter outlines how the data was gathered and analyzed to achieve the research objectives. Chapter four is a detailed discussion of the research findings. The chapter presents the results of the study, highlighting the impact of BIM on cost estimation accuracy and quantity takeoff efficiency. It also discusses the challenges encountered during the research and proposes recommendations for future studies and industry practices. Chapter five concludes the thesis by summarizing the key findings, discussing the implications of the research, and offering suggestions for further research directions. The conclusion emphasizes the significance of integrating BIM technology into Quantity Surveying practices to improve project outcomes and enhance overall industry performance. Overall, this thesis contributes to the growing body of knowledge on the utilization of BIM for cost estimation and quantity takeoff in Quantity Surveying. It provides valuable insights for industry professionals, researchers, and stakeholders seeking to leverage BIM technology for enhanced project management and cost control.

Thesis Overview