Thesis Abstract

Abstract
This thesis explores the Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management. The construction industry is increasingly adopting BIM as a collaborative tool for project planning, design, construction, and facilities management. However, its integration with Quantity Surveying processes and practices is still evolving. This research investigates how BIM can improve cost estimation accuracy and enhance project management efficiency in the field of Quantity Surveying. The study begins with an introduction to BIM technology and its relevance to Quantity Surveying. It delves into the background of the study, highlighting the current challenges faced in traditional cost estimation methods and project management practices. The problem statement identifies the gaps in the integration of BIM with Quantity Surveying and sets the foundation for the research objectives. The primary objective of this research is to assess the impact of BIM on cost estimation accuracy and project management efficiency in Quantity Surveying. Through a comprehensive literature review, the study examines existing theories, methodologies, and case studies related to BIM implementation in construction projects. The review also explores the benefits and challenges of integrating BIM with Quantity Surveying processes. The research methodology section outlines the approach taken to achieve the research objectives. It includes the research design, data collection methods, sample selection, and data analysis techniques. The study employs a mixed-methods approach, combining qualitative and quantitative research methods to gather and analyze data from industry experts, practitioners, and BIM technology users. The findings from the research highlight the significant improvements in cost estimation accuracy and project management efficiency achieved through the integration of BIM in Quantity Surveying. The discussion of findings section presents a detailed analysis of the data collected, supported by relevant literature and case studies. It identifies the key factors influencing the successful implementation of BIM in Quantity Surveying practices. In conclusion, this thesis emphasizes the importance of adopting BIM technology in Quantity Surveying for enhanced cost estimation and project management capabilities. The study contributes to the body of knowledge by providing practical insights, recommendations, and guidelines for implementing BIM in Quantity Surveying processes. It underscores the transformative potential of BIM in improving efficiency, collaboration, and decision-making in construction projects. Keywords Building Information Modeling (BIM), Quantity Surveying, Cost Estimation, Project Management, Construction Industry, Integration, Efficiency, Accuracy.

Thesis Overview

The project titled "Application of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management" aims to explore and evaluate the integration of BIM technology in the field of Quantity Surveying to enhance cost estimation and project management processes. Building Information Modeling (BIM) is a digital representation of the physical and functional characteristics of a building or infrastructure. It enables stakeholders to collaborate effectively throughout the project lifecycle, from design and construction to operation and maintenance. The construction industry faces challenges related to cost estimation accuracy, project delays, and communication gaps among project participants. Traditional quantity surveying methods often rely on manual processes and fragmented data sources, leading to inefficiencies and errors in cost estimation and project management. By leveraging BIM technology, Quantity Surveyors can access a centralized digital model that contains detailed information about the project, including quantities, materials, costs, and scheduling data. This research project will investigate how BIM can be effectively utilized in Quantity Surveying to improve the accuracy of cost estimation and enhance project management practices. The study will examine the benefits and challenges of implementing BIM in Quantity Surveying processes, such as measurement take-off, cost planning, and value engineering. It will also explore the integration of BIM with other construction management tools and technologies to streamline project workflows and optimize resource allocation. Key aspects to be addressed in this research include: 1. Reviewing the current state of Quantity Surveying practices and the role of BIM in construction projects. 2. Analyzing the potential impact of BIM on cost estimation accuracy and project management efficiency. 3. Investigating best practices and case studies of BIM implementation in Quantity Surveying. 4. Assessing the challenges and limitations of adopting BIM in Quantity Surveying processes. 5. Developing guidelines and recommendations for successful integration of BIM in Quantity Surveying practices. By conducting a comprehensive research overview on the application of BIM in Quantity Surveying for cost estimation and project management, this project aims to contribute to the body of knowledge in construction management and provide valuable insights for industry practitioners and stakeholders. The findings of this study are expected to support the adoption of BIM technologies in Quantity Surveying practices, leading to improved project outcomes, cost efficiency, and overall project success.