Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering numerous benefits in terms of enhanced collaboration, improved project visualization, and streamlined project management processes. This thesis explores the application of BIM in the field of Quantity Surveying, focusing on its role in cost estimation and project management. The study aims to investigate how BIM can be leveraged to optimize cost estimation accuracy, improve project cost control, and enhance overall project management efficiency within the context of Quantity Surveying practices. The research methodology involves a comprehensive literature review to examine existing studies and industry practices related to BIM implementation in Quantity Surveying. Additionally, a quantitative research approach will be employed to collect primary data through surveys and interviews with industry professionals, Quantity Surveyors, and project stakeholders. The data will be analyzed using statistical techniques to identify key trends, challenges, and opportunities associated with the integration of BIM in Quantity Surveying processes. Chapter One provides an introduction to the research topic, outlines the background of the study, highlights the problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter Two presents a detailed literature review covering ten key aspects related to BIM implementation in Quantity Surveying. Chapter Three discusses the research methodology, including the research design, data collection methods, sampling techniques, and data analysis procedures. Chapter Four offers a comprehensive discussion of the research findings, presenting insights into the benefits and challenges of integrating BIM in Quantity Surveying for cost estimation and project management. The chapter also explores best practices, case studies, and practical implications for industry professionals seeking to adopt BIM technologies in their Quantity Surveying practices. The conclusion in Chapter Five summarizes the key findings of the study, discusses implications for practice, and provides recommendations for future research. Overall, this thesis contributes to the body of knowledge on the application of BIM in Quantity Surveying, offering valuable insights and practical guidance for professionals looking to enhance cost estimation accuracy and project management efficiency through the adoption of BIM technologies.

Thesis Overview

The project titled "Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management" focuses on the integration of BIM technology in the field of Quantity Surveying to enhance cost estimation accuracy and improve overall project management processes. BIM is a digital representation of physical and functional characteristics of a building, providing a collaborative platform for stakeholders to work together from design through construction and operation phases. The research aims to investigate the benefits and challenges of implementing BIM in Quantity Surveying practices, particularly in the areas of cost estimation and project management. By leveraging the capabilities of BIM, Quantity Surveyors can access real-time data and information, streamline workflows, and facilitate better decision-making throughout the project lifecycle. The study will delve into the current practices and methodologies used in Quantity Surveying, highlighting the limitations and inefficiencies that may arise from traditional approaches to cost estimation and project management. By comparing these traditional methods with the potential advantages offered by BIM technology, the research seeks to identify opportunities for improvement and optimization in Quantity Surveying processes. Key objectives of the research include examining how BIM can enhance the accuracy of cost estimation by providing detailed 3D models, quantities take-off automation, and integrated cost databases. Additionally, the study will explore how BIM can improve project management through better visualization, clash detection, and coordination among project stakeholders. The research methodology will involve a comprehensive literature review to establish the current state of knowledge on BIM in Quantity Surveying, followed by case studies and interviews with industry professionals to gather insights and practical perspectives on the application of BIM technology in real-world projects. By analyzing the findings from the research, the project aims to contribute to the body of knowledge in Quantity Surveying by proposing recommendations for the effective implementation of BIM in cost estimation and project management processes. The ultimate goal is to demonstrate how BIM can revolutionize the way Quantity Surveyors work, leading to greater efficiency, accuracy, and collaboration in construction projects.