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Implementation of Building Information Modeling (BIM) in Quantity Surveying for Cost Estimation and Project Management

 

Table Of Contents


Chapter 1

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2

: Literature Review 2.1 Introduction to Literature Review
2.2 Overview of Quantity Surveying
2.3 Building Information Modeling (BIM) in Construction
2.4 Cost Estimation Techniques
2.5 Project Management in Construction
2.6 Role of Quantity Surveyors in Construction Projects
2.7 Advantages and Challenges of Implementing BIM in Quantity Surveying
2.8 Previous Studies on BIM in Quantity Surveying
2.9 Integration of BIM and Quantity Surveying Software
2.10 Summary of Literature Review

Chapter 3

: Research Methodology 3.1 Introduction to Research Methodology
3.2 Research Design
3.3 Data Collection Methods
3.4 Sampling Techniques
3.5 Data Analysis Procedures
3.6 Questionnaire Design and Distribution
3.7 Case Study Selection
3.8 Ethical Considerations in Research

Chapter 4

: Discussion of Findings 4.1 Overview of Research Findings
4.2 Analysis of Data Collected
4.3 Comparison of Findings with Literature Review
4.4 Interpretation of Results
4.5 Discussion on Implications of Findings
4.6 Recommendations for Practice
4.7 Suggestions for Future Research

Chapter 5

: Conclusion and Summary 5.1 Summary of Research
5.2 Conclusion
5.3 Contributions to the Field
5.4 Implications for Quantity Surveying Practice
5.5 Recommendations for Further Studies
5.6 Conclusion Statement

Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering significant potential for improving efficiency and accuracy in various project management processes. This thesis investigates the implementation of BIM in the field of Quantity Surveying, focusing on its application for cost estimation and project management. The primary aim of this study is to explore how BIM can enhance the traditional practices of Quantity Surveying and contribute to more effective cost estimation and project management processes. The research methodology employed in this study includes a comprehensive literature review to establish the theoretical foundation of BIM in Quantity Surveying and identify the key benefits and challenges associated with its implementation. A mixed-methods approach will be utilized, incorporating both qualitative and quantitative data collection methods to gather insights from industry professionals and BIM experts. The findings of this study are expected to reveal the potential advantages of integrating BIM into Quantity Surveying practices, such as improved accuracy in cost estimation, enhanced collaboration among project stakeholders, and streamlined project management processes. Additionally, the study will highlight the challenges and limitations that may arise during the implementation of BIM in Quantity Surveying, providing valuable insights for practitioners and organizations looking to adopt this technology. The significance of this research lies in its contribution to the existing body of knowledge on the application of BIM in Quantity Surveying, offering practical recommendations for industry professionals, researchers, and policymakers. By demonstrating the potential benefits of BIM for cost estimation and project management, this study aims to foster greater awareness and understanding of the role of technology in enhancing the efficiency and effectiveness of construction projects. In conclusion, this thesis presents a comprehensive analysis of the implementation of BIM in Quantity Surveying for cost estimation and project management. By examining the opportunities and challenges associated with this technology, the study aims to provide valuable insights that can inform future research and practice in the field of construction management.

Thesis Overview

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