Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management

Thesis Abstract

Abstract
This thesis explores the Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management. The construction industry has seen significant advancements in technology, with BIM emerging as a powerful tool that revolutionizes project delivery processes. Quantity surveyors play a crucial role in managing project costs, and integrating BIM in their workflows can enhance efficiency and accuracy in cost estimation and project management. This research investigates the benefits, challenges, and implications of implementing BIM in quantity surveying practices. The introductory chapter provides an overview of the research background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and key definitions related to BIM and quantity surveying. Chapter two presents a comprehensive literature review that examines existing studies, theories, and best practices related to BIM adoption in quantity surveying and its impact on cost estimation and project management. Chapter three outlines the research methodology employed in this study, including research design, data collection methods, data analysis techniques, and ethical considerations. The chapter details the steps taken to collect and analyze data to address the research objectives effectively. Chapter four presents a detailed discussion of the findings derived from the research, highlighting the key benefits and challenges of utilizing BIM in quantity surveying for cost estimation and project management. The chapter explores how BIM can improve accuracy, reduce errors, enhance collaboration, and streamline project workflows. Additionally, it addresses the barriers to BIM adoption and strategies to overcome them. The concluding chapter summarizes the key findings of the research and provides insights into the implications for practice and future research directions. The study concludes that the integration of BIM in quantity surveying processes offers substantial benefits in improving cost estimation accuracy, project management efficiency, and overall project performance. However, challenges such as cost of implementation, lack of skills, and resistance to change need to be addressed to maximize the potential of BIM in quantity surveying practices. Overall, this thesis contributes to the existing body of knowledge by providing a comprehensive analysis of the Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management. The findings of this research have practical implications for quantity surveyors, construction professionals, and stakeholders seeking to leverage BIM technology for enhanced project outcomes.