Implementation of Building Information Modeling (BIM) in Quantity Surveying Practice: A Case Study of Cost Estimation Accuracy

Thesis Abstract

Abstract
Building Information Modeling (BIM) has revolutionized the construction industry by enhancing collaboration, efficiency, and accuracy in project delivery. This thesis explores the implementation of BIM in Quantity Surveying practice, focusing on its impact on cost estimation accuracy. The study is conducted through a comprehensive case study approach, analyzing the practical application of BIM in a real-world construction project. The primary objective is to investigate how BIM influences the accuracy of cost estimation in Quantity Surveying processes. The research begins with an introduction to the significance of BIM in the construction industry and its potential benefits for Quantity Surveyors. A background study provides a context for understanding the evolution of BIM technology and its integration into construction projects. The problem statement highlights the challenges faced by Quantity Surveyors in traditional cost estimation methods and the potential solutions offered by BIM technology. The objectives of the study are to evaluate the impact of BIM on cost estimation accuracy, identify best practices for utilizing BIM in Quantity Surveying, and assess the challenges and limitations of implementing BIM in this context. The scope of the study focuses on a specific construction project where BIM is utilized, allowing for a detailed analysis of its effects on cost estimation accuracy. The methodology chapter outlines the research design, data collection methods, and analysis techniques employed in the study. Through a combination of qualitative and quantitative approaches, data is collected from project documentation, interviews with industry professionals, and BIM software analysis to evaluate the impact of BIM on cost estimation accuracy. The findings chapter presents a detailed discussion of the results, highlighting the key findings related to the impact of BIM on cost estimation accuracy in Quantity Surveying practice. The analysis explores the strengths and limitations of BIM technology, as well as the challenges faced by Quantity Surveyors in adopting and utilizing BIM for cost estimation. In conclusion, the study provides insights into the potential of BIM to enhance cost estimation accuracy in Quantity Surveying practice. The research findings contribute to the existing body of knowledge on the integration of BIM in construction projects and offer practical recommendations for Quantity Surveyors looking to leverage BIM technology for improved cost estimation accuracy.