May, Christopher Alan (2026) Development of a benchmark building condition index utilizing discrete facility subsets for use in risk prioritization analysis. PhD thesis, Old Dominion University, USA.
Abstract
Within the healthcare facilities management arena, key performance-based condition indices such as a calculated Building Condition Index (BCI) are currently utilized as a governing indicator of facility health and performance. However, BCI alone does not adequately support enterprise-level risk prioritization and fails to provide a validated facility-to-facility risk prioritization model. Assets within the same enterprise receiving similar sustainment funding experience different rates of degradation depending on asset type and construction age thus impairing the BCI rating scale. Statistical analysis of facility metrics indicates a strong correlation between facility degradation drivers and prediction of a subset-based benchmark BCI. The research validates the grouping of enterprise assets into discrete facility subsets which consider the key contributing factors in facility condition over time. This serves to normalize BCI values and mitigate differential degradation rates. Advancing a benchmark BCI within discrete facility subsets based on primary degradation drivers establishes a statistically validated method for risk prioritization by providing a normalized baseline for BCI to benchmark BCI comparison. Benchmark BCI enables individual facility risk evaluation and comparative risk evaluation within the portfolio, enhancing the risk prioritization process when compared to the traditional BCI method. The research focuses on current Defense Health Agency (DHA) facility management strategies and application of gained knowledge on enterprise-level facility risk management policy. Particular attention is placed on the application of benchmark BCI within discrete facility subsets for healthcare facilities within the government sector and practical application for risk-averse critical infrastructure. The contribution is a significant impact to enterprise-level strategic planning, and represents an analytical, practical, and transferable approach toward risk management in risk-averse facility portfolios.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Unal, Resit |
| Index terms: | management strategy, facilities management, agency, performance-based, risk prioritization, statistical analysis, funding, critical infrastructure, building condition, strategic planning, risk management, degradation |
| Subjects: | infrastructure and transport systems, economic analysis, data science, financial risk, risk assessment, management, asset management, material degradation and durability, performance measurement, sociology |
| Topics: | Engineering Principles, Quality Management, Construction Materials, Research Practice, Business Strategy, Cost Management, Risk Management |
| Descriptive scope: | 4 PCTA |
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