Thesis Abstract

Abstract
The construction industry has witnessed significant advancements in technology over the years, with Building Information Modeling (BIM) emerging as a transformative tool in the field of Quantity Surveying. This thesis explores the utilization of BIM technology in Quantity Surveying for cost estimation and value engineering. The primary objective is to investigate how BIM can enhance the accuracy and efficiency of cost estimation processes while maximizing value in construction projects. The introduction provides an overview of the research, highlighting the importance of integrating BIM technology into Quantity Surveying practices. The background of the study delves into the evolution of BIM and its impact on the construction industry. The problem statement identifies the current challenges faced in cost estimation and value engineering and emphasizes the need for innovative solutions. The objectives of the study include evaluating the benefits of BIM in improving cost estimation accuracy, exploring its role in enhancing value engineering practices, and assessing the limitations and challenges associated with its implementation. The scope of the study focuses on the application of BIM technology in Quantity Surveying within the context of construction projects. The literature review presents a comprehensive analysis of existing research and publications related to BIM technology, Quantity Surveying, cost estimation, and value engineering. It examines the key concepts, methodologies, and best practices in utilizing BIM for cost estimation and value engineering. The research methodology outlines the approach taken to achieve the research objectives, including data collection methods, case study analysis, and the use of BIM software tools. It discusses the research design, sampling techniques, data analysis procedures, and ethical considerations. The discussion of findings presents the results of the research, highlighting the benefits of integrating BIM technology in Quantity Surveying processes. It explores how BIM enhances cost estimation accuracy, facilitates value engineering decisions, and improves project outcomes. In conclusion, the study underscores the significance of incorporating BIM technology in Quantity Surveying for cost estimation and value engineering. The findings demonstrate the potential of BIM to revolutionize traditional practices and drive efficiencies in construction projects. Recommendations are provided for practitioners and researchers to further explore the opportunities presented by BIM technology. Keywords Building Information Modeling (BIM), Quantity Surveying, Cost Estimation, Value Engineering, Construction Industry, Technology Integration, Efficiency, Accuracy, Innovation.

Thesis Overview

The research project, titled "Utilizing Building Information Modeling (BIM) Technology in Quantity Surveying for Cost Estimation and Value Engineering," aims to investigate the integration of BIM technology in the field of Quantity Surveying to enhance cost estimation accuracy and optimize value engineering processes. The utilization of BIM in construction projects has gained significant attention due to its potential to revolutionize traditional practices and improve project outcomes. This research seeks to explore the specific applications and benefits of incorporating BIM into Quantity Surveying practices, with a focus on cost estimation and value engineering aspects. The project will delve into the fundamental principles of BIM technology and its relevance to Quantity Surveying processes. It will examine how BIM can facilitate more efficient and accurate cost estimation by providing a comprehensive digital representation of the project, enabling Quantity Surveyors to extract quantities and cost data more effectively. The research will also investigate how BIM can support value engineering initiatives by enabling early identification of cost-saving opportunities and facilitating collaboration among project stakeholders to optimize project value. Moreover, the study will assess the challenges and limitations associated with implementing BIM technology in Quantity Surveying and propose strategies to overcome these barriers. By analyzing existing literature, case studies, and industry practices, the research aims to provide insights into best practices for integrating BIM into Quantity Surveying workflows to enhance cost estimation accuracy and value engineering outcomes. Overall, this research project seeks to contribute to the body of knowledge in the field of Quantity Surveying by exploring the potential of BIM technology to transform traditional practices and improve project cost management and value optimization. The findings of this study are expected to provide valuable insights for Quantity Surveyors, construction professionals, and project stakeholders seeking to leverage BIM technology for better cost estimation and value engineering outcomes in construction projects.