Thesis Abstract

Abstract
This thesis investigates the optimization of cost estimation techniques in construction projects through the implementation of Building Information Modeling (BIM) in the field of Quantity Surveying. The construction industry faces significant challenges in accurate cost estimation, leading to cost overruns and delays in projects. BIM technology offers advanced tools and methodologies to enhance the accuracy and efficiency of cost estimation processes. This research aims to explore the potential benefits of integrating BIM into Quantity Surveying practices to improve cost estimation in construction projects. The study begins with an introduction to the research topic, providing a background of the challenges faced in cost estimation in construction projects. The problem statement highlights the inadequacies of traditional cost estimation methods and the need for innovative solutions such as BIM. The objectives of the study include assessing the impact of BIM on cost estimation accuracy, identifying best practices for implementing BIM in Quantity Surveying, and evaluating the limitations and scope of BIM technology in cost estimation. A comprehensive literature review examines existing research on BIM applications in construction cost estimation, highlighting key findings and gaps in current knowledge. The review encompasses ten critical aspects, including BIM technology overview, cost estimation challenges in construction, benefits of BIM in Quantity Surveying, and best practices for integrating BIM into cost estimation processes. The research methodology section outlines the approach taken to achieve the study objectives. This includes research design, data collection methods, sample selection criteria, and data analysis techniques. The methodology also addresses ethical considerations and limitations of the study, ensuring the validity and reliability of the research findings. The discussion of findings chapter presents a detailed analysis of the data collected during the research process. This section evaluates the impact of BIM on cost estimation accuracy, identifies challenges in implementing BIM in Quantity Surveying practices, and discusses the practical implications of using BIM for cost estimation in construction projects. Finally, the conclusion and summary chapter provide a comprehensive overview of the research findings and their implications for the field of Quantity Surveying. The study concludes with recommendations for future research and practical applications of BIM technology in optimizing cost estimation techniques in construction projects. Overall, this thesis contributes to the growing body of knowledge on the benefits of BIM in Quantity Surveying and its potential to revolutionize cost estimation practices in the construction industry.

Thesis Overview

The research project titled "Optimizing Cost Estimation Techniques in Construction Projects Using Building Information Modeling (BIM) in Quantity Surveying" aims to investigate and enhance the methods and processes involved in cost estimation within construction projects through the utilization of Building Information Modeling (BIM) technology in the field of Quantity Surveying. This project seeks to address the challenges and limitations faced in traditional cost estimation practices and explore how BIM can be leveraged to optimize and streamline this crucial aspect of construction project management. By delving into the integration of BIM technology with Quantity Surveying practices, this research seeks to identify the potential benefits and efficiencies that can be achieved in cost estimation processes. The project will focus on how BIM can improve accuracy, speed, and reliability in cost estimation, leading to more precise project budgeting and cost control throughout the project lifecycle. Key areas of investigation will include the utilization of BIM tools and software in quantity takeoff, cost analysis, and cost forecasting. The research will explore how BIM can facilitate the integration of cost data with project design information, enabling better collaboration among project stakeholders and enhancing decision-making processes related to project cost management. Moreover, the research will examine the challenges and limitations associated with implementing BIM in cost estimation practices within the Quantity Surveying field. By identifying these obstacles, the project aims to propose strategies and recommendations for overcoming barriers to the effective integration of BIM technology in cost estimation processes. Overall, this research project seeks to contribute to the advancement of cost estimation techniques in construction projects by harnessing the capabilities of Building Information Modeling in the field of Quantity Surveying. Through a comprehensive exploration of BIM applications in cost estimation and a critical analysis of its implications, this study aims to provide valuable insights and recommendations for improving cost management practices in the construction industry.