Thesis Abstract

Abstract
The construction industry constantly seeks innovative technologies to enhance efficiency and accuracy in project delivery. Building Information Modeling (BIM) has emerged as a powerful tool with the potential to revolutionize traditional practices in the field of Quantity Surveying. This thesis explores the application of BIM in Quantity Surveying for cost estimation and project management, aiming to investigate its impact on improving project outcomes and decision-making processes. Chapter One provides an introduction to the research, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter Two comprises a comprehensive literature review, examining existing studies, theories, and applications related to BIM in Quantity Surveying and its benefits in cost estimation and project management. Chapter Three outlines the research methodology, detailing the research design, data collection methods, sampling techniques, and data analysis procedures employed in this study. The chapter also discusses the ethical considerations and limitations faced during the research process. In Chapter Four, the findings of the research are presented and discussed in detail. The study evaluates the effectiveness of BIM in enhancing cost estimation accuracy, project planning, and overall project management efficiency in Quantity Surveying practices. The discussion explores the challenges encountered, lessons learned, and recommendations for the successful implementation of BIM in Quantity Surveying processes. Finally, Chapter Five offers a conclusion and summary of the thesis, highlighting the key findings, implications, and contributions to the field of Quantity Surveying. The research underscores the significance of integrating BIM technology in Quantity Surveying practices to improve cost estimation accuracy, project efficiency, and decision-making processes. Overall, this thesis contributes to the growing body of knowledge on the application of BIM in Quantity Surveying and provides insights for practitioners, researchers, and industry professionals seeking to leverage technology for enhanced project delivery in the construction sector.

Thesis Overview

The research project titled "Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management" aims to explore the integration of BIM technology within the field of Quantity Surveying to enhance cost estimation accuracy and improve project management practices. Building Information Modeling (BIM) is a digital representation of the physical and functional characteristics of a building or infrastructure, which provides a collaborative platform for stakeholders to plan, design, construct, and manage projects more efficiently. The construction industry has been increasingly adopting BIM technology due to its potential to streamline processes, reduce errors, and improve communication among project participants. However, the full potential of BIM in Quantity Surveying, particularly in cost estimation and project management, is still underutilized. This research seeks to bridge this gap by investigating how BIM can be effectively applied in Quantity Surveying practices to optimize cost estimation processes and enhance project management outcomes. The research will delve into the theoretical background of BIM technology and its application in the construction industry, particularly focusing on its benefits and challenges in the context of Quantity Surveying. By conducting a comprehensive literature review, the project aims to identify best practices and methodologies for integrating BIM into Quantity Surveying processes to improve cost estimation accuracy and project management efficiency. Furthermore, the research will involve the development of a research methodology that includes data collection methods, tools, and techniques to analyze the impact of BIM on cost estimation and project management within the Quantity Surveying domain. By collecting and analyzing data from case studies, surveys, and interviews with industry professionals, the project aims to provide insights into the practical implementation of BIM technology in Quantity Surveying practices. The findings of this research are expected to contribute to the body of knowledge on the application of BIM in Quantity Surveying, offering practical recommendations for industry practitioners, researchers, and policymakers. By highlighting the benefits and challenges of using BIM for cost estimation and project management, this research aims to enhance the understanding of how technology can drive innovation and efficiency in the construction industry. In conclusion, the project "Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management" seeks to explore the transformative potential of BIM technology in improving cost estimation accuracy and project management practices within the Quantity Surveying discipline. Through a rigorous investigation of theory, methodology, and empirical data, this research aims to provide valuable insights that can inform future practices and policies in the construction industry.