Thesis Abstract

Abstract
This thesis explores the utilization of Building Information Modeling (BIM) for enhancing cost estimation and conducting life cycle analysis in the field of Quantity Surveying. The construction industry is constantly evolving, and the integration of BIM technology has significantly impacted the way projects are planned, designed, and executed. This research aims to investigate the potential benefits and challenges associated with incorporating BIM into the Quantity Surveying process, focusing on cost estimation accuracy and life cycle analysis efficiency. Chapter One provides an introduction to the study, presenting the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The literature review in Chapter Two comprises ten key items that discuss existing research and practices related to BIM, cost estimation, life cycle analysis, and Quantity Surveying. Chapter Three outlines the research methodology, including the research design, data collection methods, sampling techniques, tools used for analysis, ethical considerations, and limitations of the study. The methodology section delves into the process of implementing BIM for cost estimation and life cycle analysis, highlighting the steps involved and the strategies employed. Chapter Four presents a detailed discussion of the findings obtained from the research. The chapter analyzes the effectiveness of BIM in enhancing cost estimation accuracy and streamlining life cycle analysis processes in Quantity Surveying. Various case studies and examples are examined to illustrate the practical implications of implementing BIM technologies in real-world construction projects. Finally, Chapter Five concludes the thesis by summarizing the key findings, discussing the implications for the Quantity Surveying profession, and suggesting recommendations for future research and industry practices. The conclusion reflects on the potential of BIM to revolutionize cost estimation and life cycle analysis in Quantity Surveying, emphasizing the importance of embracing technological advancements to improve project outcomes and sustainability. In conclusion, this thesis contributes to the existing body of knowledge by demonstrating the value of BIM in transforming traditional Quantity Surveying practices. By leveraging BIM for cost estimation and life cycle analysis, Quantity Surveyors can enhance project efficiency, accuracy, and sustainability, ultimately leading to improved decision-making and project outcomes in the construction industry.

Thesis Overview

The research project titled "Utilizing Building Information Modeling (BIM) for Cost Estimation and Life Cycle Analysis in Quantity Surveying" aims to investigate the application of Building Information Modeling (BIM) technology in the field of Quantity Surveying. BIM is a digital representation of the physical and functional characteristics of a building, which provides a collaborative platform for architects, engineers, and construction professionals to work together on a project. The primary objective of this research is to explore how BIM can enhance the accuracy and efficiency of cost estimation and life cycle analysis processes in Quantity Surveying. Cost estimation is a critical aspect of construction projects, and inaccuracies in cost estimates can lead to budget overruns and delays. Life cycle analysis involves evaluating the total cost of a building over its entire lifespan, including construction, operation, maintenance, and disposal costs. The research will begin with a comprehensive literature review to examine existing studies on the use of BIM in Quantity Surveying, cost estimation, and life cycle analysis. This review will provide a theoretical framework for understanding the potential benefits and challenges of implementing BIM in these areas. Subsequently, the research methodology will be developed to guide the data collection and analysis process. This will involve identifying suitable case studies or real-world projects where BIM technology has been utilized for cost estimation and life cycle analysis in Quantity Surveying. Data collection methods may include interviews with industry professionals, surveys, and analysis of project documentation. The findings of the research will be presented and discussed in detail in the fourth chapter of the thesis. This chapter will highlight the key advantages of using BIM for cost estimation and life cycle analysis, as well as any limitations or challenges encountered during the implementation process. The discussion will also explore practical recommendations for improving the integration of BIM technology in Quantity Surveying practices. Finally, the thesis will conclude with a summary of the research findings and their implications for the Quantity Surveying profession. The significance of the study will be discussed, emphasizing the potential of BIM to revolutionize traditional cost estimation methods and enhance the sustainability of construction projects through improved life cycle analysis. In conclusion, this research project on "Utilizing Building Information Modeling (BIM) for Cost Estimation and Life Cycle Analysis in Quantity Surveying" seeks to contribute valuable insights to the field of Quantity Surveying by exploring the transformative potential of BIM technology in improving cost estimation accuracy and life cycle analysis efficiency.