Thesis Abstract

Abstract
Building Information Modeling (BIM) has revolutionized the construction industry by enhancing the efficiency and accuracy of various project processes. This thesis investigates the application of BIM in cost estimation and quantity takeoff within construction projects through a detailed case study approach. The primary objective is to analyze how BIM technology can optimize these critical aspects of project management, leading to improved cost control and resource planning. The study begins with a comprehensive literature review, examining existing research on BIM, cost estimation, and quantity takeoff methodologies. This review establishes a foundation for understanding the current trends, challenges, and opportunities in the field. Subsequently, the research methodology section outlines the approach taken to conduct the case study, including data collection methods, sample selection criteria, and analytical techniques. The case study analysis focuses on a real-world construction project where BIM was implemented for cost estimation and quantity takeoff. The findings of the study highlight the benefits and limitations of using BIM in these processes, including enhanced accuracy, time savings, and improved collaboration among project stakeholders. The discussion of findings delves into the practical implications of the results and provides insights into best practices for integrating BIM into cost estimation and quantity takeoff workflows. In conclusion, this thesis emphasizes the importance of leveraging BIM technology for optimizing cost estimation and quantity takeoff processes in construction projects. The study underscores the significance of adopting BIM as a strategic tool for enhancing project efficiency, reducing errors, and maximizing resource utilization. By embracing BIM in these key areas, construction industry professionals can achieve higher levels of project success and sustainability. Keywords Building Information Modeling (BIM), Cost Estimation, Quantity Takeoff, Construction Projects, Case Study, Project Management, Efficiency, Accuracy.

Thesis Overview