Thesis Abstract

Abstract
The construction industry is undergoing a paradigm shift with the adoption of advanced technologies such as Building Information Modeling (BIM). This thesis explores the application of BIM in the field of Quantity Surveying, specifically focusing on its utilization as a tool for cost estimation, quantity takeoff, and project management. Through a comprehensive case study approach, this research investigates the benefits, challenges, and implications of integrating BIM into Quantity Surveying practices. The thesis begins with an introduction that provides a background of the study, highlights the problem statement, outlines the objectives of the study, discusses the limitations and scope of the research, emphasizes the significance of the study, and presents the structure of the thesis. A detailed literature review in Chapter Two critically examines existing studies, theories, and practices related to the application of BIM in Quantity Surveying, addressing key concepts such as interoperability, data exchange, and collaborative working. Chapter Three delves into the research methodology employed in this study, encompassing research design, data collection methods, data analysis techniques, sampling strategies, and ethical considerations. The chapter also discusses the selection criteria for the case study and justifies the chosen approach for investigating the research questions. Chapter Four presents a thorough discussion of the findings derived from the case study analysis, highlighting the practical implications of utilizing BIM in Quantity Surveying processes. The chapter explores themes such as increased efficiency in quantity takeoff, enhanced accuracy in cost estimation, improved communication among project stakeholders, and streamlined project management practices. Finally, Chapter Five offers a conclusive summary of the research findings, reaffirms the significance of integrating BIM in Quantity Surveying, and provides recommendations for future research and industry application. The study underscores the transformative potential of BIM technology in enhancing the efficiency, accuracy, and effectiveness of Quantity Surveying practices, ultimately contributing to improved project outcomes and stakeholder collaboration in the construction industry. In conclusion, this thesis advocates for a proactive approach towards embracing BIM as an integral tool in Quantity Surveying, emphasizing the need for industry professionals to adapt to technological advancements for sustainable growth and innovation in construction project management.

Thesis Overview

The research project titled "Application of Building Information Modeling (BIM) in Quantity Surveying: A Case Study Approach" aims to explore the integration of BIM technology in the field of Quantity Surveying. Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a building, providing a comprehensive view of the building project throughout its lifecycle. Quantity Surveying involves the management and control of costs within construction projects, including estimating, cost planning, and procurement. The primary objective of this research is to investigate how BIM can enhance the efficiency and accuracy of Quantity Surveying practices. By conducting a case study approach, the research will delve into real-world applications of BIM within Quantity Surveying processes. The study will analyze how BIM can streamline quantity take-off, cost estimation, and project management tasks, ultimately leading to improved project outcomes. The research overview will address the following key aspects: 1. Introduction: Providing an overview of the research topic, highlighting the importance of BIM in Quantity Surveying and outlining the research objectives. 2. Background of Study: Discussing the evolution of BIM technology and its impact on the construction industry, as well as the role of Quantity Surveyors in construction projects. 3. Problem Statement: Identifying the existing challenges and limitations faced by Quantity Surveyors in traditional practices and the potential benefits of integrating BIM technology. 4. Objectives of Study: Clearly defining the research goals, including exploring the advantages of BIM in Quantity Surveying, evaluating its impact on project efficiency, and identifying best practices for implementation. 5. Literature Review: Reviewing existing literature on BIM technology, Quantity Surveying methodologies, and case studies showcasing successful integration of BIM in construction projects. 6. Research Methodology: Detailing the research approach, including data collection methods, case study selection criteria, and analysis techniques to be employed. 7. Discussion of Findings: Presenting the results of the case study analysis, highlighting the key findings, challenges encountered, and lessons learned from the application of BIM in Quantity Surveying. 8. Conclusion and Recommendations: Summarizing the research findings, drawing conclusions on the effectiveness of BIM in Quantity Surveying, and providing recommendations for future implementation and research in this area. Overall, this research aims to contribute to the body of knowledge on the application of BIM in Quantity Surveying, offering insights into how technology can drive efficiency, accuracy, and collaboration in construction projects.