Application of Building Information Modelling (BIM) in Quantity Surveying for Cost Estimation and Project Management

Thesis Abstract

Abstract
Building Information Modelling (BIM) has emerged as a transformative technology in the construction industry, offering advanced tools and methodologies for enhancing project efficiency and collaboration. This thesis explores the application of BIM in the field of Quantity Surveying, focusing on its role in cost estimation and project management. The research delves into the potential benefits, challenges, and implications of integrating BIM into traditional Quantity Surveying practices. The study begins with an introduction to the background of BIM technology and its relevance to Quantity Surveying. It addresses the current problem statement in the industry, highlighting the limitations faced by Quantity Surveyors and the need for innovative solutions. The objectives of the study are outlined to investigate the effectiveness of BIM in enhancing cost estimation accuracy and project management processes. The scope of the research defines the boundaries and areas of focus, while the significance of the study emphasizes the potential impact on industry practices. The literature review chapter examines existing studies and publications related to BIM in Quantity Surveying, identifying key themes, trends, and best practices. The review covers ten essential aspects, including the evolution of BIM technology, its impact on cost estimation accuracy, and its role in improving project management efficiency. The research methodology chapter outlines the approach taken to investigate the research questions and achieve the study objectives. It includes eight key components, such as the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter provides a detailed framework for conducting the research and gathering valuable insights. The discussion of findings chapter presents a comprehensive analysis of the research results, highlighting the key findings, trends, and implications for the industry. It explores the effectiveness of BIM tools and techniques in enhancing cost estimation accuracy and streamlining project management processes. The chapter also discusses the challenges and limitations encountered during the research, offering recommendations for future studies and industry practices. In conclusion, this thesis provides a detailed summary of the research findings, emphasizing the significance of integrating BIM into Quantity Surveying practices for improved cost estimation and project management. The study contributes to the growing body of knowledge on BIM applications in the construction industry and offers valuable insights for practitioners, researchers, and stakeholders. Keywords Building Information Modelling (BIM), Quantity Surveying, Cost Estimation, Project Management, Construction Industry, Technology Integration, Research Methodology, Literature Review, Data Analysis, Industry Practices.