Thesis Abstract

Abstract
Building Information Modeling (BIM) is a digital technology that has revolutionized the construction industry by enhancing collaboration, communication, and efficiency throughout the project lifecycle. This thesis explores the implementation of BIM in the field of Quantity Surveying to improve cost estimation and project management processes. The primary objective of this study is to investigate the benefits and challenges associated with integrating BIM into Quantity Surveying practices, ultimately aiming to enhance the accuracy of cost estimates and streamline project management activities. The research methodology employed in this study includes a comprehensive literature review, case studies, and interviews with industry professionals to gather insights on the current practices and potential improvements through BIM adoption. Chapter two presents a thorough review of existing literature on BIM in Quantity Surveying, highlighting the key concepts, benefits, challenges, and best practices. Chapter three outlines the research methodology, including data collection techniques, data analysis methods, and the selection of case studies for in-depth investigation. The chapter also discusses the ethical considerations and limitations of the research, ensuring the credibility and reliability of the findings. Chapter four presents a detailed discussion of the research findings, focusing on the benefits and challenges of implementing BIM in Quantity Surveying. The chapter examines the impact of BIM on cost estimation accuracy, project scheduling, collaboration among stakeholders, and overall project performance. The findings emphasize the potential of BIM to transform traditional Quantity Surveying practices and improve project outcomes. In conclusion, this thesis provides valuable insights into the use of BIM in Quantity Surveying for enhanced cost estimation and project management. The study contributes to the existing body of knowledge by highlighting the benefits of BIM adoption in improving efficiency, accuracy, and collaboration in construction projects. The findings underscore the importance of embracing digital technologies like BIM to adapt to the evolving demands of the construction industry and achieve better project outcomes.

Thesis Overview

The research project titled "Implementation of Building Information Modeling (BIM) in Quantity Surveying for Improved Cost Estimation and Project Management" aims to investigate and demonstrate the benefits of integrating BIM technology into the field of Quantity Surveying. Building Information Modeling (BIM) is a digital representation of the physical and functional characteristics of a building. This technology enables the creation of a 3D model that can be used for planning, design, construction, and management of buildings. The construction industry is increasingly embracing BIM as a powerful tool to improve project efficiency, collaboration, and decision-making processes. However, the full potential of BIM in Quantity Surveying has not been fully explored. This research seeks to address this gap by exploring how BIM can enhance cost estimation and project management processes in Quantity Surveying. The research will begin by providing an introduction to the topic, outlining the background of study, stating the problem statement, objectives of the study, limitations, scope, significance, and defining key terms. The literature review will delve into existing research on BIM in Quantity Surveying, highlighting key concepts, benefits, challenges, and best practices. The research methodology will detail the approach taken to investigate the implementation of BIM in Quantity Surveying. This will include research design, data collection methods, data analysis techniques, and ethical considerations. The findings of the research will be discussed in detail, focusing on how BIM can improve cost estimation accuracy, project planning, communication, and overall project performance. The conclusion and summary will highlight the key findings of the research, implications for practice, and recommendations for future research. Overall, this research project aims to contribute to the body of knowledge on the integration of BIM in Quantity Surveying and provide valuable insights for industry professionals, researchers, and stakeholders interested in leveraging BIM technology for improved cost estimation and project management.