Thesis Abstract

Abstract
Building Information Modeling (BIM) has revolutionized the construction industry by offering advanced tools for project visualization, coordination, and management. This thesis explores the utilization of BIM for cost estimation and life cycle analysis in construction projects. The primary objective is to investigate how BIM can enhance cost estimation accuracy and facilitate life cycle analysis to improve decision-making processes throughout the project lifecycle. The research methodology involves a comprehensive literature review, case studies, and interviews with industry professionals to gather insights on the practical implementation of BIM in construction projects. Chapter One provides an introduction to the research topic, including background information, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter Two presents a detailed literature review covering ten key areas related to BIM, cost estimation, life cycle analysis, and their integration in construction projects. Chapter Three outlines the research methodology, including data collection methods, case study selection criteria, interview protocols, data analysis techniques, and ethical considerations. Chapter Four presents a thorough discussion of the research findings, highlighting the benefits, challenges, and best practices associated with utilizing BIM for cost estimation and life cycle analysis in construction projects. The chapter also explores the implications of integrating BIM into existing construction processes and the potential for future research in this area. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications for the construction industry, and offering recommendations for practitioners and researchers interested in leveraging BIM for improved cost estimation and life cycle analysis. Overall, this thesis contributes to the growing body of knowledge on the practical application of BIM in construction projects, specifically focusing on cost estimation and life cycle analysis. By highlighting the benefits and challenges of using BIM in these areas, this research aims to inform industry professionals and researchers about the potential opportunities and considerations when implementing BIM for enhanced project outcomes.

Thesis Overview

The project titled "Utilizing Building Information Modeling (BIM) for Cost Estimation and Life Cycle Analysis in Construction Projects" focuses on the integration of Building Information Modeling (BIM) technology to enhance the accuracy and efficiency of cost estimation and life cycle analysis in construction projects. BIM is a digital representation of the physical and functional characteristics of a building or infrastructure, providing a collaborative platform for architects, engineers, and construction professionals to visualize and simulate the entire project lifecycle. In the construction industry, accurate cost estimation and life cycle analysis are crucial for project planning, budgeting, and decision-making. Traditional methods of cost estimation often rely on manual calculations and assumptions, leading to inaccuracies and discrepancies that can impact project timelines and budgets. Similarly, life cycle analysis involves assessing the long-term environmental and economic impacts of a building or infrastructure project, guiding sustainable design and construction practices. By leveraging BIM technology, this project aims to streamline the cost estimation process by enabling real-time quantity takeoffs, cost calculations, and scenario analysis based on the 3D model of the project. BIM allows for the integration of various project data, including material quantities, labor costs, and schedule information, facilitating more accurate and detailed cost estimates. Additionally, BIM enables the visualization of the entire project lifecycle, from design and construction to operation and maintenance, supporting informed decision-making and optimization of resource allocation. The research will involve a comprehensive literature review to explore existing methodologies and technologies related to BIM, cost estimation, and life cycle analysis in construction. The methodology will include case studies, surveys, and interviews with industry professionals to gather insights on current practices and challenges in cost estimation and life cycle analysis. The findings will be analyzed to identify the benefits and limitations of utilizing BIM for cost estimation and life cycle analysis in construction projects. Overall, this project seeks to contribute to the advancement of construction project management practices by demonstrating the potential of BIM technology in improving cost estimation accuracy and enhancing sustainability through life cycle analysis. The research outcomes are expected to provide valuable insights and recommendations for industry stakeholders, paving the way for more efficient and sustainable construction practices in the future.