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PhD Dissertation Final Oral Defense (March 2024)
Title of dissertation: An Integrated Decision Support System for BIM-Level 3 Implementation
Name of Candidate: Lama Suliman Abu-Moeilak | PhD in Engineering - Engineering Systems Management
Name of supervisor: Dr. Salwa Beheiry
Abstract
Building Information Modeling (BIM) transformed the traditional project delivery process by enabling stakeholders to collaborate on a shared digital platform and by facilitating Integrated Project Delivery (IPD). The Architectural, Engineering, and Construction (AEC) industry, inspired by the Fifth Industrial Revolution, attempted to adopt technological advancements through digitalization, with an emphasis on prioritizing sustainable practices. However, BIM adoption processes remain unclear, with maturity levels in BIM adoption typically limited to BIM level 2 - discipline collaboration. This fails to deliver the full potential of BIM as a multidisciplinary integrated approach and platform in the AEC industry. Hence, this study provides a roadmap for the AEC industry, aiming to facilitate the use of BIM through the development of a Decision Support System (DSS) for BIM-Level 3 implementation - the complete integration of sustainable practices, processes, and collaboration techniques on a common platform. The study also examines the synergistic relationship between advanced BIM capabilities and collaborative project management methodologies such as IPD. The research objectives include the investigation of current BIM adoption practices and implementation drivers in the AEC industry, the development of a BIM maturity model and DSS to facilitate the implementation of BIM Level-3 in organizations, and the application of the developed model in case studies. The research applied both qualitative and quantitative methodologies in a multi-layered approach to validate and analyze the primary data, including semi-structured interviews, expert panel validation, Structural Equation Modeling (SEM), the Analytical Hierarchy Process (AHP), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The study findings confirmed that organizations with a higher readiness for BIM-Level 3 implementation exhibit a greater commitment to sustainable practices and are more dedicated to the adoption of integrated project delivery models.
Keywords: Building Information Modeling, BIM, AEC, Decision Support System, Sustainable Construction, Structural Equation Modeling, AHP, TOPSIS
For more information, please contact [email protected].