Thesis Abstract

Abstract
Building Information Modelling (BIM) has emerged as a transformative technology in the field of Quantity Surveying, offering advanced tools and methodologies for enhancing cost estimation and project management processes. This thesis investigates the application of BIM in Quantity Surveying to explore its impacts on cost estimation accuracy and project management efficiency. The study aims to provide insights into how BIM can be effectively utilized by Quantity Surveyors to improve decision-making, collaboration, and overall project performance. The research begins with a comprehensive literature review that examines the existing body of knowledge on BIM applications in Quantity Surveying. The review highlights the benefits and challenges associated with implementing BIM technology in cost estimation and project management practices. By analyzing various studies and industry reports, the review sets the foundation for understanding the current landscape of BIM adoption in Quantity Surveying. Subsequently, the research methodology section outlines the approach taken to investigate the research objectives. The methodology includes data collection methods, research design, and data analysis techniques employed to gather and analyze information on the use of BIM in Quantity Surveying. Through a combination of quantitative and qualitative research methods, the study aims to provide a comprehensive analysis of the effectiveness of BIM in enhancing cost estimation accuracy and project management processes. The findings of the study are presented in the discussion chapter, which delves into the key outcomes and implications of the research. The discussion explores how BIM technologies can streamline cost estimation workflows, improve data accuracy, and facilitate better project coordination among stakeholders. By presenting real-world examples and case studies, the discussion chapter illustrates the practical applications of BIM in Quantity Surveying and its potential to revolutionize traditional practices. In conclusion, the study summarizes the key findings and contributions to the field of Quantity Surveying. The research underscores the importance of integrating BIM technologies into Quantity Surveying practices to drive efficiency, accuracy, and collaboration in cost estimation and project management activities. The study also identifies areas for further research and proposes recommendations for industry practitioners and professionals looking to leverage BIM for improved project outcomes. Overall, this thesis contributes to the growing body of knowledge on the application of Building Information Modelling in Quantity Surveying and provides valuable insights for academics, practitioners, and stakeholders seeking to harness the full potential of BIM technologies in the construction industry.

Thesis Overview

The project titled "Application of Building Information Modelling (BIM) in Quantity Surveying for Cost Estimation and Project Management" aims to explore the integration of BIM technology in the field of Quantity Surveying to enhance cost estimation accuracy and improve project management practices. Building Information Modelling (BIM) is a digital representation of the physical and functional characteristics of a building. It enables the creation of a virtual model that contains detailed information about various aspects of a construction project, such as design, materials, quantities, and costs. The construction industry is increasingly adopting BIM technology due to its potential to streamline project workflows, reduce errors, and improve collaboration among project stakeholders. In the context of Quantity Surveying, BIM can revolutionize traditional cost estimation methods by providing real-time data and accurate quantity take-offs directly from the digital model. This integration can lead to more precise cost estimates, early identification of potential cost variations, and improved project budgeting. Furthermore, the project will investigate how BIM can facilitate better project management practices in Quantity Surveying. By utilizing BIM for project scheduling, progress tracking, and coordination of project activities, Quantity Surveyors can enhance project efficiency, minimize delays, and improve overall project outcomes. The research will delve into case studies and best practices to demonstrate the practical application of BIM in Quantity Surveying for effective project management. Overall, this project seeks to advance the understanding of how BIM technology can be effectively utilized in Quantity Surveying for cost estimation and project management purposes. By exploring the benefits, challenges, and implementation strategies of integrating BIM into Quantity Surveying practices, the research aims to provide valuable insights for industry professionals, academics, and stakeholders looking to leverage BIM for enhanced project performance and cost control in the construction sector.