Thesis Abstract

Abstract
Building Information Modeling (BIM) is a sophisticated digital tool that has gained significant attention and adoption in the construction industry. This thesis explores the implementation of BIM in Quantity Surveying, focusing on its benefits, challenges, and best practices. The research delves into how BIM can enhance the traditional practices of Quantity Surveying, ultimately improving project efficiency, accuracy, and collaboration among stakeholders. The study begins with an introduction that sets the context for the research, followed by a comprehensive literature review that examines existing knowledge on BIM in Quantity Surveying. The research methodology section outlines the approach taken to investigate the implementation of BIM in Quantity Surveying, including data collection methods and analysis techniques. Findings from the study reveal various benefits of implementing BIM in Quantity Surveying, such as improved cost estimation, enhanced project visualization, clash detection, and better project coordination. However, the research also uncovers challenges associated with BIM implementation, including high initial costs, training requirements, data interoperability issues, and resistance to change. The discussion of findings section critically analyzes the results, highlighting key insights and implications for practice. Recommendations for best practices in implementing BIM in Quantity Surveying are provided, addressing issues related to technology integration, stakeholder engagement, training programs, and data management. In conclusion, this thesis emphasizes the significance of adopting BIM in Quantity Surveying to enhance project delivery processes and outcomes. The study contributes to the existing body of knowledge by providing practical insights into leveraging BIM technology effectively in the Quantity Surveying discipline. Future research directions are also suggested to further explore the potential of BIM in transforming the construction industry. Keywords Building Information Modeling (BIM), Quantity Surveying, Benefits, Challenges, Best Practices, Construction Industry, Project Efficiency, Collaboration.

Thesis Overview

The project titled "Implementation of Building Information Modeling (BIM) in Quantity Surveying: Benefits, Challenges, and Best Practices" focuses on exploring the utilization of Building Information Modeling (BIM) in the field of Quantity Surveying. BIM is a digital representation of the physical and functional characteristics of a building, providing a collaborative platform for design, construction, and facility management professionals to work together efficiently. The research aims to investigate how BIM can enhance the quantity surveying process by improving accuracy, efficiency, and collaboration among project stakeholders. By integrating BIM into quantity surveying practices, this study seeks to identify the benefits, challenges, and best practices associated with its implementation. The project will delve into the background of BIM technology and its relevance to the field of Quantity Surveying, highlighting the evolution of BIM and its impact on the construction industry. It will also address the current challenges faced in traditional quantity surveying methods and how BIM can address these challenges through its advanced capabilities. Furthermore, the research will set out specific objectives to guide the study, focusing on evaluating the benefits of BIM in quantity surveying, identifying the challenges encountered during implementation, and determining the best practices for successful integration of BIM in the quantity surveying process. The study will also outline the limitations and scope of the research, providing a clear understanding of the boundaries within which the research will be conducted. Additionally, the significance of the study will be emphasized, highlighting the potential impact of implementing BIM in quantity surveying practices on the construction industry as a whole. By structuring the thesis in a systematic manner, the research will provide a comprehensive overview of the implementation of BIM in Quantity Surveying, offering valuable insights into the benefits, challenges, and best practices associated with this innovative technology.