BIM-enabled facility management framework and simulation

This research offers a comprehensive investigation into developing and validating a standardized Building Information Modeling for Facility Management (BIM-FM) framework and simulation, supported by an empirical case study of the Long and Kimmy Nguyen Engineering Building. The primary objective of this study is to bridge the gap between theoretical BIM-FM frameworks and their practical application within the Architecture, Engineering, and Construction (AEC) industry to facilitate a more integrated and efficient approach to facility operation. The study adopts a mixed-methods research methodology that combines a qualitative literature review with a quantitative computational simulation. The qualitative phase focuses on a systematic review of existing BIM-FM frameworks and their implementation within the AEC sector. This serves to identify key performance indicators (KPIs) and industry requirements critical for BIM-FM framework development and integration, such as the Facility Condition Index (FCI), Maintenance Efficiency Index (MEI), and Replacement Efficiency Index (REI). The quantitative phase focuses on developing a computational simulation as a primary tool for empirically validating the proposed framework using the KPIs applied to a specific real-world context through a case study. This is to offer a robust platform for assessing BIM-FM strategies and providing quantifiable evidence of their utility and relevance. The proposed framework developed in the study is driven by insights from the literature review. It encompasses three main phases: (1) identifying best practices and gaps, (2) analyzing and comparing existing frameworks, and (3) formulating the framework's logic and workflow. This structured approach attempts to tackle the identified industry needs and challenges within the AEC industry. Furthermore, the research simulation development chapter details using Unity as a platform for operating the proposed simulation logic. The simulation integrates several core components to facilitate realistic presentations of facility operations and deepen the understanding of BIM-FM integration and predictive performance in long-term facility operation strategies. A core aspect of the research is the case study, focusing on the Long and Kimmy Nguyen Engineering Building at George Mason University. The case study selection adheres to criteria that ensure alignment with industry standards and contains diverse assets. This study also develops a BIM model of the facility and integrates it into the Unity simulation for accurate operation and performance assessment. The simulation results show that the proposed BIM-FM framework outperformed traditional FM and BIM-FM systems across key performance metrics. It maintained superior facility conditions, with a mean FCI of 0.794, and showed a lower FCI decrease over time than its counterparts, emphasizing its effectiveness in facility upkeep. Its mean MEI of 0.160 and REI of 6.03 were also notably higher, which shows greater maintenance and replacement efficacy. The framework's strategic approach also resulted in more consistent deferred maintenance work orders and higher average facility conditions, showcasing effective maintenance scheduling. Financially, the system demonstrated improved operational efficiency, saving an average of approximately $91,424.94 annually, translating into over $3.75 million in net savings over its lifecycle. Sensitivity analysis underscored its financial robustness and adaptability to economic changes, highlighting its long-term viability for FM operations. This application of a real-world facility provides critical insights into the framework's effectiveness and challenges encountered compared to other traditional systems, offering a comprehensive evaluation of its adaptability and versatility across a broad spectrum of FM requirements. In conclusion, this study contributes to the body of knowledge by offering a standardized BIM-FM framework that integrates qualitative insights with quantitative validations using a proposed novel FM simulation. Thi , coupled with a detailed real-world case study, highlights the potential of standardized BIM-FM systems to improve the facility operation process and provide a more integrated and efficient approach aligned with the current industry needs and standards.