Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering advanced tools and methodologies for efficient project planning, design, construction, and management. This thesis explores the Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management, aiming to enhance the accuracy, efficiency, and effectiveness of quantity surveying practices within the construction sector. The research begins with a comprehensive review of existing literature on BIM, quantity surveying, cost estimation, and project management, highlighting the current trends, challenges, and opportunities in the industry. Through an in-depth analysis of ten key literature items, the study establishes a theoretical framework for integrating BIM into quantity surveying processes to optimize cost estimation and project management. The research methodology section outlines the approach taken to investigate the application of BIM in quantity surveying, including data collection methods, tools, and techniques utilized to gather relevant information. The methodology also discusses the data analysis process, highlighting the steps taken to evaluate the impact of BIM on cost estimation accuracy and project management efficiency. In the findings and discussion chapter, the research presents the results of the study, showcasing the benefits and challenges of implementing BIM in quantity surveying practices. The chapter critically analyzes the data collected, identifying key factors that influence the successful integration of BIM in cost estimation and project management processes. The conclusion and summary chapter encapsulates the key findings of the research, emphasizing the significance of using BIM in quantity surveying for improved cost estimation and project management outcomes. The study concludes with recommendations for industry practitioners, policymakers, and researchers on leveraging BIM technologies to enhance efficiency, accuracy, and sustainability in construction projects. Overall, this thesis contributes to the body of knowledge on the application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management, offering valuable insights and practical recommendations for advancing the adoption of BIM technologies in the construction industry.

Thesis Overview