Thesis Abstract

Abstract
Building Information Modeling (BIM) has revolutionized the construction industry by offering improved project visualization, coordination, and data management capabilities. The integration of BIM technology into Quantity Surveying practices has the potential to enhance cost estimation accuracy and streamline project management processes. This thesis explores the Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management. The study begins by providing an introduction to BIM technology, its background in the construction industry, and the challenges faced by traditional Quantity Surveying methods. A comprehensive literature review is conducted to analyze the current state of BIM adoption in Quantity Surveying and to identify the key benefits and challenges associated with its implementation. The research methodology section outlines the approach taken in this study, including data collection methods, sampling techniques, and data analysis procedures. The study explores various software tools and platforms commonly used in BIM applications for Quantity Surveying and evaluates their effectiveness in enhancing cost estimation accuracy and project management efficiency. Findings from the study are discussed in detail in Chapter Four, highlighting the benefits of integrating BIM technology into Quantity Surveying practices. The results demonstrate how BIM can improve cost estimation accuracy, reduce project delays, and enhance collaboration among project stakeholders. In conclusion, this thesis summarizes the key findings of the study and provides recommendations for practitioners looking to implement BIM in Quantity Surveying for cost estimation and project management. The study underscores the significance of BIM technology in transforming traditional Quantity Surveying practices and emphasizes the need for industry professionals to embrace this innovative approach to improve project outcomes.

Thesis Overview