Thesis Abstract

Abstract
Building Information Modelling (BIM) has emerged as a transformative technology in the construction industry, offering advanced tools and methodologies for enhancing project efficiency and collaboration. This thesis explores the application of BIM in the field of Quantity Surveying, focusing on its role in cost estimation and project management. The research delves into the potential benefits, challenges, and implications of integrating BIM into traditional Quantity Surveying practices. The study begins with an introduction to the background of BIM technology and its relevance to Quantity Surveying. It addresses the current problem statement in the industry, highlighting the limitations faced by Quantity Surveyors and the need for innovative solutions. The objectives of the study are outlined to investigate the effectiveness of BIM in enhancing cost estimation accuracy and project management processes. The scope of the research defines the boundaries and areas of focus, while the significance of the study emphasizes the potential impact on industry practices. The literature review chapter examines existing studies and publications related to BIM in Quantity Surveying, identifying key themes, trends, and best practices. The review covers ten essential aspects, including the evolution of BIM technology, its impact on cost estimation accuracy, and its role in improving project management efficiency. The research methodology chapter outlines the approach taken to investigate the research questions and achieve the study objectives. It includes eight key components, such as the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter provides a detailed framework for conducting the research and gathering valuable insights. The discussion of findings chapter presents a comprehensive analysis of the research results, highlighting the key findings, trends, and implications for the industry. It explores the effectiveness of BIM tools and techniques in enhancing cost estimation accuracy and streamlining project management processes. The chapter also discusses the challenges and limitations encountered during the research, offering recommendations for future studies and industry practices. In conclusion, this thesis provides a detailed summary of the research findings, emphasizing the significance of integrating BIM into Quantity Surveying practices for improved cost estimation and project management. The study contributes to the growing body of knowledge on BIM applications in the construction industry and offers valuable insights for practitioners, researchers, and stakeholders. Keywords Building Information Modelling (BIM), Quantity Surveying, Cost Estimation, Project Management, Construction Industry, Technology Integration, Research Methodology, Literature Review, Data Analysis, Industry Practices.

Thesis Overview

The research project titled "Application of Building Information Modelling (BIM) in Quantity Surveying for Cost Estimation and Project Management" aims to explore the integration of Building Information Modelling (BIM) technology in the field of Quantity Surveying to enhance cost estimation accuracy and improve project management practices. Quantity Surveying plays a crucial role in the construction industry by providing cost estimates, budgeting, and financial management throughout the project lifecycle. Traditionally, Quantity Surveyors rely on manual methods and 2D drawings to prepare cost estimates, which can be time-consuming and prone to errors. However, with the advancement of technology, BIM has emerged as a powerful tool that enables the creation and management of 3D digital models with detailed information about the building components. This research seeks to investigate how BIM can be effectively utilized by Quantity Surveyors to streamline the cost estimation process and facilitate better project management outcomes. By leveraging the data-rich 3D models created through BIM, Quantity Surveyors can extract accurate quantities, perform automated measurements, and generate more reliable cost estimates. Additionally, the use of BIM can enhance collaboration and communication among project stakeholders, leading to improved decision-making and project efficiency. The research will involve a comprehensive review of existing literature on BIM applications in Quantity Surveying and related fields to identify best practices and challenges. Furthermore, the study will incorporate a quantitative and qualitative research methodology, including case studies and surveys, to gather data from industry professionals and project stakeholders. The data collected will be analyzed to assess the impact of BIM on cost estimation accuracy, project management efficiency, and overall project performance. Overall, the findings of this research project aim to contribute to the body of knowledge in Quantity Surveying and construction management by demonstrating the potential benefits of integrating BIM technology into traditional practices. By enhancing cost estimation accuracy and project management practices, the application of BIM in Quantity Surveying has the potential to transform the construction industry and drive greater efficiency and sustainability in building projects.