Thesis Abstract

Abstract
Building Information Modeling (BIM) is a transformative technology that has gained significant traction in the construction industry. This thesis investigates the implementation of BIM in Quantity Surveying practice, aiming to explore the potential benefits, challenges, and implications of integrating BIM into traditional Quantity Surveying processes. The study is motivated by the need to enhance efficiency, accuracy, and collaboration within the Quantity Surveying field through the adoption of advanced technologies. The research begins with an introduction that sets the context for the study, highlighting the importance of BIM in the construction industry and the specific relevance to Quantity Surveying practice. The background of the study provides an overview of BIM technology and its evolution, leading to its current status as a critical tool for enhancing project delivery and management. The problem statement identifies the existing gaps and challenges in traditional Quantity Surveying methods and underscores the need for innovation through BIM implementation. The objectives of the study are to evaluate the impact of BIM on Quantity Surveying processes, assess the benefits and limitations of BIM adoption, and propose recommendations for effective integration. The scope of the study defines the boundaries and focus areas of the research, while the significance of the study emphasizes the potential contributions to improving efficiency, accuracy, and collaboration in Quantity Surveying practice through BIM implementation. The literature review chapter critically examines existing studies, theories, and practices related to BIM in Quantity Surveying, covering topics such as the benefits of BIM, challenges of implementation, best practices, and case studies. The research methodology chapter outlines the research design, data collection methods, sampling techniques, and data analysis procedures employed in the study, providing a comprehensive framework for investigating the research questions. The findings chapter presents a detailed analysis of the data collected, identifying key trends, challenges, and opportunities associated with implementing BIM in Quantity Surveying practice. The discussion chapter explores the implications of the findings, compares them to existing literature, and offers insights into how BIM can be effectively integrated into Quantity Surveying workflows to optimize project outcomes. In conclusion, this thesis highlights the significance of BIM as a transformative technology in Quantity Surveying practice. The study underscores the potential benefits of BIM adoption, such as improved efficiency, accuracy, and collaboration, while also addressing the challenges and limitations that may arise during implementation. By providing recommendations for successful BIM integration, this research contributes to advancing the field of Quantity Surveying and enhancing project delivery in the construction industry.

Thesis Overview

The project titled "Implementation of Building Information Modeling (BIM) in Quantity Surveying Practice" focuses on exploring the integration and application of Building Information Modeling (BIM) technology in the field of Quantity Surveying. BIM is a digital representation of physical and functional characteristics of a built asset, which enables a collaborative approach to project delivery and management. Quantity Surveying involves the management of costs and procurement for construction projects, making it a crucial aspect of the construction industry. The primary objective of this research is to investigate how BIM can enhance the efficiency, accuracy, and effectiveness of Quantity Surveying processes. By incorporating BIM into Quantity Surveying practices, there is potential for improved collaboration, communication, and data management throughout the project lifecycle. This project seeks to explore the benefits, challenges, and best practices associated with the implementation of BIM in Quantity Surveying. Key aspects that will be addressed in this research include the background and significance of BIM technology, the current practices and methodologies in Quantity Surveying, the potential impact of BIM on Quantity Surveying processes, and the strategies for successful integration of BIM in Quantity Surveying practice. The research will involve a comprehensive review of relevant literature, as well as case studies and interviews with industry professionals to gather insights and perspectives on the topic. Through this research, it is anticipated that a deeper understanding of the potential benefits and challenges of implementing BIM in Quantity Surveying will be gained. The findings of this study aim to contribute to the body of knowledge in the field of Quantity Surveying and provide valuable insights for practitioners, educators, and policymakers looking to leverage BIM technology for improved project delivery and management. Overall, the research on the "Implementation of Building Information Modeling (BIM) in Quantity Surveying Practice" seeks to bridge the gap between traditional Quantity Surveying practices and modern digital technologies, with the goal of enhancing efficiency, accuracy, and collaboration in the construction industry.