Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, revolutionizing project planning, design, construction, and management processes. This thesis explores the implementation of BIM in Quantity Surveying for cost estimation and project management, aiming to enhance accuracy, efficiency, and collaboration in construction projects. The research investigates the benefits and challenges associated with integrating BIM into Quantity Surveying practices, with a focus on its impact on cost estimation and project management processes. The study begins with a comprehensive review of the literature on BIM, Quantity Surveying, cost estimation, and project management, highlighting the current trends, best practices, and research gaps in the field. Through a detailed examination of existing literature, the research aims to provide a theoretical foundation for the implementation of BIM in Quantity Surveying. The methodology chapter outlines the research design, data collection methods, and analysis techniques employed in this study. It includes a detailed description of the research approach, data sources, sampling methods, and data analysis procedures used to investigate the research questions and objectives. Findings from the study reveal the potential of BIM to improve accuracy, efficiency, and collaboration in Quantity Surveying processes. The discussion chapter critically evaluates the findings, discussing the implications of integrating BIM into Quantity Surveying practices for cost estimation and project management. The chapter also addresses the challenges and limitations encountered during the implementation process. In conclusion, this thesis summarizes the key findings, implications, and recommendations for practitioners, policymakers, and researchers in the field of Quantity Surveying and construction management. The study underscores the significance of leveraging BIM technology to enhance cost estimation accuracy, streamline project management processes, and improve overall project outcomes. Overall, this research contributes to the growing body of knowledge on the implementation of BIM in Quantity Surveying and provides valuable insights into the opportunities and challenges associated with adopting BIM technology in construction projects. The findings of this study can inform future research endeavors and guide industry professionals in harnessing the potential of BIM for cost estimation and project management in construction projects.

Thesis Overview