Optimizing Resource Management in Construction Projects through Building Information Modelling (BIM) in Quantity Surveying

Thesis Abstract

Abstract
This thesis presents a comprehensive investigation into optimizing resource management in construction projects through the implementation of Building Information Modelling (BIM) in the field of Quantity Surveying. The construction industry has been rapidly evolving, driven by the need for more efficient processes and the utilization of advanced technologies. BIM has emerged as a powerful tool that can revolutionize the way construction projects are planned, managed, and executed. This research aims to explore the potential benefits of integrating BIM into Quantity Surveying practices to enhance resource management in construction projects. The study begins with a thorough review of the existing literature on BIM, Quantity Surveying, resource management, and their interrelationships. The literature review highlights the current challenges faced in resource management within construction projects and the opportunities that BIM presents in addressing these challenges. It also examines the role of Quantity Surveyors in the construction industry and the potential impact of BIM on their traditional practices. Following the literature review, the research methodology section outlines the approach taken to investigate the research questions and achieve the study objectives. The methodology includes data collection methods, data analysis techniques, and the research framework used to guide the study. The research design incorporates both qualitative and quantitative research methods to provide a comprehensive understanding of the topic. The findings of the study reveal the significant potential of BIM in optimizing resource management in construction projects. Through the implementation of BIM tools and processes, Quantity Surveyors can achieve improved accuracy in project cost estimation, enhanced collaboration among project stakeholders, and better decision-making throughout the project lifecycle. The study also identifies key challenges and limitations associated with the adoption of BIM in Quantity Surveying practices. In conclusion, this thesis emphasizes the importance of embracing BIM technology in Quantity Surveying to optimize resource management in construction projects. The study underscores the need for training and upskilling within the industry to fully leverage the benefits of BIM. The findings contribute to the body of knowledge in Quantity Surveying and provide valuable insights for practitioners, researchers, and policymakers seeking to enhance resource management efficiency in construction projects through BIM implementation. Keywords Building Information Modelling (BIM), Quantity Surveying, Construction Projects, Resource Management, Optimization, Technology Integration.