Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a pivotal technology in the construction industry, revolutionizing traditional practices and enhancing project outcomes. This thesis explores the potential of BIM in the field of Quantity Surveying, focusing on its application for cost estimation and project management. The research aims to investigate how BIM can streamline the quantity surveying process, improve accuracy in cost estimation, and enhance project management efficiency. The study begins with an introduction to the background of BIM technology and its relevance in the construction industry. It addresses the problem statement concerning the challenges faced in traditional quantity surveying practices and the potential benefits of integrating BIM. The objectives of the study encompass evaluating the effectiveness of BIM in cost estimation and project management, identifying limitations in its implementation, defining the scope of the research, and highlighting the significance of adopting BIM in quantity surveying practices. A comprehensive literature review is conducted to explore existing research and case studies related to BIM utilization in quantity surveying. The review covers ten key areas, including BIM applications in cost estimation, project management, collaboration, data interoperability, and visualization, among others. The findings from the literature review inform the development of the research methodology, which comprises a detailed explanation of the research design, data collection methods, data analysis techniques, and ethical considerations. The research methodology is implemented through a series of data collection processes, including surveys, interviews, and case studies with industry professionals and stakeholders. The findings from the research are presented in Chapter Four, where a detailed discussion on the effectiveness of BIM in quantity surveying for cost estimation and project management is provided. The chapter also addresses challenges encountered during the implementation of BIM and offers insights into best practices for leveraging BIM technology in quantity surveying processes. In the concluding chapter, Chapter Five, the key findings of the research are summarized, and the implications for the construction industry and quantity surveying profession are discussed. Recommendations for future research and practical implications for industry practitioners are also provided. Overall, this thesis contributes to the body of knowledge on the utilization of BIM in quantity surveying for cost estimation and project management. By highlighting the benefits and challenges of adopting BIM technology in quantity surveying practices, this research aims to promote the integration of BIM as a standard tool in the construction industry, ultimately improving project outcomes and enhancing efficiency in quantity surveying processes.

Thesis Overview

The project titled "Utilization of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management" aims to investigate and explore the integration of Building Information Modeling (BIM) technology in the field of Quantity Surveying. BIM is a sophisticated digital representation of the physical and functional characteristics of a building or infrastructure project, providing a comprehensive and collaborative platform for design, construction, and management processes. This research seeks to analyze how BIM can enhance the efficiency and accuracy of cost estimation and project management tasks within the context of Quantity Surveying. By leveraging the advanced features of BIM, such as 3D modeling, data visualization, and information sharing capabilities, this study aims to identify the benefits and challenges associated with adopting BIM technology in the Quantity Surveying profession. The research overview will delve into the current methodologies and practices used in Quantity Surveying for cost estimation and project management, highlighting the limitations and shortcomings of traditional approaches. By exploring the potential of BIM technology to streamline processes, reduce errors, and improve communication among project stakeholders, this study aims to provide valuable insights into the transformative impact of BIM in the Quantity Surveying field. Furthermore, the research overview will outline the objectives of the study, which include evaluating the effectiveness of BIM in enhancing cost estimation accuracy, analyzing the impact of BIM on project management processes, and identifying the key factors influencing the successful implementation of BIM in Quantity Surveying practices. The methodology section will detail the research design, data collection methods, and analysis techniques employed to achieve the research objectives. Through an in-depth examination of case studies, industry best practices, and theoretical frameworks, this research aims to contribute to the body of knowledge on the integration of BIM technology in Quantity Surveying. The findings of this study are expected to provide practical recommendations for Quantity Surveyors, project managers, and other industry professionals looking to leverage BIM for improved cost estimation and project management outcomes.