Thesis Abstract

Abstract
Building Information Modeling (BIM) has gained significant attention in the construction industry for its potential to revolutionize project delivery processes. This thesis explores the application of BIM in Quantity Surveying to enhance cost estimation and project management practices. The primary objective is to investigate how BIM can improve accuracy, efficiency, and collaboration in the quantity surveying process, leading to better project outcomes. The study focuses on the integration of BIM technology with traditional quantity surveying methods to streamline cost estimation, procurement, and project monitoring. The research begins with a comprehensive review of relevant literature on BIM technology, quantity surveying practices, cost estimation methods, and project management processes. The literature review highlights the benefits and challenges associated with adopting BIM in quantity surveying and identifies gaps in current research that this study aims to address. The methodology chapter outlines the research design, data collection methods, and analysis techniques employed in this study. A mixed-method approach is utilized, combining quantitative data analysis and qualitative case studies to provide a holistic understanding of the impact of BIM on quantity surveying practices. The findings chapter presents the results of the research, showcasing how BIM implementation can enhance cost estimation accuracy, improve project coordination, and facilitate better decision-making in the construction industry. Case studies and empirical data demonstrate the practical implications of integrating BIM technology with traditional quantity surveying processes. The discussion chapter critically analyzes the findings, comparing them to existing literature and theoretical frameworks. The implications of the research findings for industry practitioners, educators, and policymakers are discussed, highlighting the transformative potential of BIM in quantity surveying practice. In conclusion, this thesis argues that the application of BIM in Quantity Surveying offers substantial benefits in terms of cost estimation accuracy, project management efficiency, and overall project success. By leveraging BIM technology, quantity surveyors can enhance collaboration, reduce errors, and optimize resource allocation, leading to more sustainable and profitable construction projects. The study contributes to the growing body of knowledge on BIM adoption in the construction industry and provides valuable insights for industry professionals looking to improve their quantity surveying practices.

Thesis Overview

The project titled "Application of Building Information Modeling (BIM) in Quantity Surveying for Enhanced Cost Estimation and Project Management" aims to explore the integration of BIM technology into the field of Quantity Surveying to improve the accuracy of cost estimation and enhance project management practices. Building Information Modeling (BIM) is a digital representation of the physical and functional characteristics of a building, providing a collaborative platform for stakeholders to work together on a project. The construction industry has seen a significant shift towards the adoption of BIM technology due to its ability to streamline processes, reduce errors, and improve communication among project teams. However, its application in Quantity Surveying, a critical aspect of construction projects that involves cost estimation, procurement, and financial management, is still relatively underexplored. This research project will investigate how BIM can be effectively utilized in Quantity Surveying processes to enhance cost estimation accuracy and project management efficiency. By leveraging the data-rich environment of BIM models, Quantity Surveyors can access real-time information on quantities, materials, and costs, leading to more precise estimates and better decision-making throughout the project lifecycle. The study will involve a comprehensive review of existing literature on BIM technology, Quantity Surveying practices, and their integration. It will also incorporate case studies and interviews with industry professionals to gain insights into current challenges, best practices, and opportunities for leveraging BIM in Quantity Surveying. Through this research, the project aims to contribute to the body of knowledge on the application of BIM in Quantity Surveying and provide practical recommendations for industry stakeholders looking to enhance their cost estimation processes and project management practices. Ultimately, the project seeks to bridge the gap between technology and traditional Quantity Surveying methods, paving the way for more efficient and cost-effective construction projects in the future.