Thesis Abstract

Abstract
This thesis focuses on the optimization of construction cost estimation through the integration of Building Information Modeling (BIM) technology in the field of Quantity Surveying. The construction industry plays a vital role in the economic development of any country, and accurate cost estimation is crucial for project success. Traditional methods of cost estimation in the construction industry have often been associated with challenges such as inaccuracies, time-consuming processes, and lack of collaboration among project stakeholders. The emergence of BIM technology has revolutionized the construction industry by providing a collaborative platform for the creation and management of digital representations of physical and functional characteristics of a building. This research aims to explore how the implementation of BIM technology can enhance cost estimation accuracy, efficiency, and collaboration in Quantity Surveying practices. Chapter 1 introduces the research topic, provides background information on the use of BIM technology in construction projects, states the problem statement, objectives, limitations, scope, significance of the study, and defines key terms. Chapter 2 presents a comprehensive literature review on BIM technology, cost estimation methods, and the integration of BIM in Quantity Surveying. Ten key items are discussed to provide a thorough understanding of the existing knowledge in the field. Chapter 3 outlines the research methodology, including research design, data collection methods, data analysis techniques, and sampling procedures. This chapter also discusses the tools and software used for BIM implementation and cost estimation optimization. Chapter 4 presents the findings of the study, analyzing how BIM technology can improve construction cost estimation accuracy and efficiency. The discussion includes case studies and practical examples to demonstrate the benefits of utilizing BIM in Quantity Surveying practices. Finally, Chapter 5 concludes the thesis by summarizing the key findings, highlighting the implications of the research, and providing recommendations for future research and industry practice. The study concludes that the integration of BIM technology in Quantity Surveying can significantly enhance construction cost estimation processes, leading to improved project outcomes and greater collaboration among project stakeholders. This research contributes to the advancement of Quantity Surveying practices and underscores the importance of embracing technological innovations in the construction industry for sustainable development.

Thesis Overview

The project titled "Optimization of Construction Cost Estimation Using Building Information Modeling (BIM) Technology in Quantity Surveying" aims to revolutionize the field of quantity surveying by leveraging the capabilities of Building Information Modeling (BIM) technology. Quantity surveying plays a crucial role in the construction industry, involving the accurate estimation and management of costs throughout the project lifecycle. Traditional cost estimation methods often rely on manual processes, leading to inefficiencies, errors, and delays. By integrating BIM technology into quantity surveying practices, this project seeks to enhance the accuracy, efficiency, and effectiveness of construction cost estimation. BIM enables the creation of detailed 3D models that contain comprehensive information about the various elements of a building project. These models can be utilized to generate accurate quantity takeoffs, cost estimates, and project schedules, thereby streamlining the cost estimation process. The research will involve a thorough investigation of the current practices and challenges in construction cost estimation within the quantity surveying discipline. By conducting a comprehensive literature review, the project will explore the existing methodologies, tools, and technologies used in cost estimation and identify the limitations and areas for improvement. The methodology of the research will involve the development and implementation of a BIM-based cost estimation framework tailored specifically for quantity surveying purposes. This framework will leverage the capabilities of BIM software to automate the process of quantity takeoff, cost calculation, and data analysis. The research will also include case studies and practical applications to validate the effectiveness of the proposed framework in real-world construction projects. The findings of this research are expected to contribute significantly to the optimization of construction cost estimation practices in quantity surveying. By harnessing the power of BIM technology, quantity surveyors can improve the accuracy of their cost estimates, reduce errors and discrepancies, enhance project efficiency, and ultimately deliver better outcomes for construction projects. Overall, the project "Optimization of Construction Cost Estimation Using Building Information Modeling (BIM) Technology in Quantity Surveying" represents a cutting-edge initiative that aims to modernize and elevate the standards of cost estimation in the construction industry. Through innovative research and practical applications, this project has the potential to transform the way quantity surveyors approach cost estimation, leading to more efficient, cost-effective, and sustainable construction practices.