Thesis Abstract

Abstract
This thesis explores the application of Building Information Modeling (BIM) in enhancing cost estimation processes within the field of Quantity Surveying. The construction industry is continuously evolving, and the adoption of advanced technologies such as BIM has the potential to revolutionize traditional practices. The main objective of this research is to investigate how BIM can be effectively utilized to improve accuracy, efficiency, and reliability in cost estimation activities carried out by Quantity Surveyors. The study begins with a comprehensive review of the existing literature on BIM and cost estimation in Quantity Surveying. Various theories, models, and methodologies related to BIM implementation and cost estimation practices are critically analyzed to establish a theoretical framework for the research. The review also highlights the current challenges and limitations faced by Quantity Surveyors in traditional cost estimation processes. To achieve the research objectives, a mixed-methods approach is employed. The research methodology includes data collection through surveys, interviews, and case studies involving practicing Quantity Surveyors and industry professionals. The data collected is analyzed using appropriate statistical tools and qualitative analysis techniques to identify the key factors influencing the successful integration of BIM in cost estimation practices. The findings of the study reveal that the adoption of BIM technology can significantly enhance the accuracy and efficiency of cost estimation processes. BIM enables Quantity Surveyors to access real-time project data, collaborate with stakeholders, and visualize cost implications at various project stages. However, challenges such as lack of standardized processes, training requirements, and initial investment costs are identified as barriers to widespread BIM adoption in Quantity Surveying. The discussion of findings delves into the practical implications of integrating BIM technology into cost estimation workflows. Strategies for overcoming challenges and maximizing the benefits of BIM implementation are proposed based on the research outcomes. The study emphasizes the importance of continuous professional development and collaboration among industry stakeholders to drive the successful implementation of BIM in Quantity Surveying practices. In conclusion, this research contributes to the existing body of knowledge by providing insights into the potential of BIM technology to transform cost estimation processes in Quantity Surveying. The study recommends the development of industry guidelines, training programs, and collaborative initiatives to support the wider adoption of BIM among Quantity Surveyors. By embracing BIM as a tool for cost estimation, the construction industry can achieve improved project outcomes, cost savings, and enhanced decision-making processes.

Thesis Overview