Optimizing Cost Estimation Techniques in Construction Projects Using Building Information Modeling (BIM)

Thesis Abstract

The abstract for the thesis titled "Optimizing Cost Estimation Techniques in Construction Projects Using Building Information Modeling (BIM)" is as follows This thesis explores the optimization of cost estimation techniques in construction projects through the integration of Building Information Modeling (BIM) technology. The construction industry faces challenges in accurately estimating project costs, leading to budget overruns and delays. BIM is a transformative technology that offers opportunities to enhance cost estimation processes through its ability to create detailed and collaborative digital representations of building projects. Chapter 1 provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The introduction sets the stage for the exploration of cost estimation optimization using BIM. Chapter 2 presents a comprehensive literature review covering ten key aspects related to cost estimation techniques and the implementation of BIM in construction projects. The review examines existing research, methodologies, and best practices in cost estimation and BIM technology to identify gaps and opportunities for optimization. Chapter 3 details the research methodology employed in this study, including the research design, data collection methods, sampling techniques, and data analysis procedures. This chapter outlines the systematic approach taken to investigate and evaluate the effectiveness of optimizing cost estimation techniques using BIM. In Chapter 4, the findings of the research are elaborated, discussing the impact of integrating BIM into cost estimation processes, the challenges encountered, and the benefits realized. The chapter provides a detailed analysis of the data collected and presents key insights into the optimization of cost estimation techniques in construction projects using BIM. Chapter 5 concludes the thesis by summarizing the key findings, implications of the research, and recommendations for future studies. The conclusion highlights the significance of optimizing cost estimation techniques through BIM and emphasizes the potential for improving cost management practices in the construction industry. Overall, this thesis contributes to the body of knowledge on cost estimation optimization in construction projects using BIM technology. By exploring the integration of BIM into cost estimation processes, this research offers valuable insights and practical recommendations for enhancing project cost management and improving overall project outcomes.