Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the architecture, engineering, and construction industry. This thesis investigates the implementation of BIM in Quantity Surveying for improving cost estimation and project management practices. The research aims to explore the potential benefits, challenges, and implications of integrating BIM into Quantity Surveying processes. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The literature review in Chapter Two critically examines existing studies on BIM implementation in Quantity Surveying, highlighting key insights and gaps in the current knowledge. Chapter Three outlines the research methodology, including research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the selection of case studies and participants for the empirical investigation. Chapter Four presents a detailed discussion of the research findings, analyzing the impact of BIM on cost estimation accuracy, project management efficiency, collaboration among project stakeholders, and overall project performance. The chapter also explores the challenges faced during the implementation process and provides recommendations for overcoming these obstacles. Finally, Chapter Five offers a comprehensive conclusion and summary of the thesis, summarizing the key findings, implications, and contributions to the field of Quantity Surveying. The conclusion also discusses the practical implications of the research findings for industry practitioners and suggests directions for future research in this area. Overall, this thesis contributes to the growing body of knowledge on the application of BIM in Quantity Surveying and provides valuable insights for professionals seeking to leverage BIM technology for improved cost estimation and project management practices in the construction industry.

Thesis Overview

The project titled "Implementation of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management" aims to explore the integration and utilization of Building Information Modeling (BIM) technology in the field of Quantity Surveying to enhance cost estimation accuracy and improve project management efficiency. Quantity Surveying plays a crucial role in construction projects by managing costs, budgets, and ensuring financial control throughout the project lifecycle. Traditional methods of cost estimation and project management in Quantity Surveying often involve manual processes and are susceptible to errors, leading to cost overruns and project delays. BIM is a transformative technology that enables the creation and management of digital representations of physical and functional characteristics of a building or infrastructure project. By leveraging BIM in Quantity Surveying practices, stakeholders can collaborate in a shared digital environment, leading to better coordination, improved decision-making, and increased efficiency in project delivery. The project seeks to investigate how BIM can be effectively integrated into Quantity Surveying processes to streamline cost estimation and enhance project management practices. Key objectives of the research include assessing the current state of BIM adoption in Quantity Surveying, identifying challenges and barriers to implementing BIM in cost estimation and project management, evaluating the benefits of using BIM technology in improving accuracy and efficiency, and developing guidelines for successful implementation of BIM in Quantity Surveying practices. The study will involve a comprehensive review of existing literature on BIM, Quantity Surveying, cost estimation, and project management to establish a theoretical foundation for the research. Research methodology will include qualitative and quantitative approaches such as case studies, surveys, interviews, and data analysis to gather insights from industry professionals, academics, and practitioners in the field of Quantity Surveying and BIM. The findings of the research will contribute to the body of knowledge by providing practical recommendations and best practices for integrating BIM technology into Quantity Surveying processes to optimize cost estimation and project management in the construction industry. In conclusion, the implementation of Building Information Modeling (BIM) in Quantity Surveying has the potential to revolutionize traditional practices, enhance collaboration among project stakeholders, and improve project outcomes. By harnessing the power of BIM technology, Quantity Surveyors can achieve more accurate cost estimates, better project control, and increased efficiency in managing construction projects. This research aims to bridge the gap between BIM and Quantity Surveying disciplines, paving the way for a more integrated and technology-driven approach to cost estimation and project management in the construction industry.