Thesis Abstract

Abstract
The integration of Building Information Modeling (BIM) technology in the field of Quantity Surveying has gained significant attention in the construction industry in recent years. This thesis explores the implementation of BIM in Quantity Surveying practices with a focus on examining its impact on efficiency, accuracy, and overall project outcomes. The research investigates the benefits and challenges associated with adopting BIM technologies in Quantity Surveying processes, aiming to provide insights into how this innovative approach can enhance project management and cost control. The study begins by introducing the background of BIM technology and its relevance to the Quantity Surveying profession. It identifies the existing problem statements within traditional Quantity Surveying practices and highlights the need for a more advanced and integrated approach. The objectives of the research are outlined to evaluate the effectiveness of BIM in improving cost estimation, quantity take-off, and project coordination in Quantity Surveying activities. The limitations and scope of the study are also defined to set the boundaries of the research. A comprehensive literature review is conducted to explore the current state of BIM implementation in Quantity Surveying and identify key factors influencing its successful adoption. The review covers topics such as BIM applications, benefits, challenges, and best practices in the context of Quantity Surveying processes. The findings from the literature review provide a foundation for understanding the theoretical framework and practical implications of integrating BIM technology in Quantity Surveying practices. The research methodology chapter outlines the approach taken to investigate the research questions, including data collection methods, sampling techniques, and data analysis procedures. The study utilizes a mixed-methods approach, combining qualitative interviews with industry professionals and quantitative surveys to gather insights into the perceptions and experiences of practitioners using BIM in Quantity Surveying. The discussion of findings chapter presents the results of the research, highlighting the key findings related to the impact of BIM on cost estimation accuracy, project efficiency, and collaboration among project stakeholders. The analysis of the data reveals the benefits of BIM in improving Quantity Surveying processes, such as reducing errors, enhancing visualization, and facilitating real-time information exchange. In conclusion, the study summarizes the main findings and implications of implementing BIM in Quantity Surveying practices. The research underscores the importance of embracing technological advancements in the construction industry to enhance productivity, reduce costs, and improve project outcomes. The thesis contributes to the growing body of knowledge on BIM applications in Quantity Surveying and provides recommendations for practitioners and stakeholders looking to leverage BIM technology for better project management and cost control.

Thesis Overview

The project titled "Implementation of Building Information Modeling (BIM) in Quantity Surveying Practices" aims to explore the integration of BIM technology within the field of Quantity Surveying. Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a facility, serving as a shared knowledge resource for information about a building. The utilization of BIM in Quantity Surveying offers numerous benefits such as improved collaboration, enhanced project visualization, cost estimation accuracy, and streamlined project management processes. This research endeavor will delve into the current state of BIM integration within the Quantity Surveying profession, examining the challenges, opportunities, and best practices associated with its implementation. The study will investigate the extent to which BIM is being utilized by Quantity Surveyors, the barriers hindering its adoption, and the strategies to enhance its effective application in project cost estimation, quantity takeoff, and value engineering. Furthermore, the research will conduct a comprehensive literature review to analyze existing studies, methodologies, and case studies related to BIM implementation in Quantity Surveying. By synthesizing this information, the project aims to provide insights into the key factors influencing successful BIM adoption in the Quantity Surveying domain and propose recommendations for overcoming implementation barriers. The research methodology will involve a mixed-methods approach, combining quantitative surveys and qualitative interviews with industry professionals, academic experts, and practicing Quantity Surveyors. Through data collection and analysis, the study will assess the current awareness, competency levels, and training needs of Quantity Surveyors regarding BIM technology. The findings of this study are expected to contribute to the body of knowledge on BIM implementation in Quantity Surveying, offering practical implications for professionals, educators, and policymakers in the construction industry. The project outcomes will serve as a roadmap for enhancing BIM utilization in Quantity Surveying practices, ultimately improving project efficiency, cost management, and overall delivery outcomes. In conclusion, the research on the "Implementation of Building Information Modeling (BIM) in Quantity Surveying Practices" seeks to bridge the gap between technology and traditional practices in the construction sector, paving the way for a more integrated and collaborative approach to project management and cost estimation.