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Theses/Dissertations

Air Force Institute of Technology

2016

Asset management

Articles 1 - 3 of 3

Full-Text Articles in Engineering

Validation And Improvement Of Reliability Methods For Air Force Building Systems, Patrick A. Deering Mar 2016

Validation And Improvement Of Reliability Methods For Air Force Building Systems, Patrick A. Deering

Theses and Dissertations

The United States Air Force manages its civil infrastructure resource allocation via a two-dimensional risk model consisting of the consequence of failure and reliability. Air Force civil engineers currently use the BUILDER® Sustainment Management System to estimate and predict reliability at multiple levels within its civil infrastructure systems. Alley (2015) developed and validated a probabilistic model to calculate reliability at the system level. The probabilistic model was found to be a significant improvement over the currently employed BUILDER® model for four major building systems (electrical, HVAC, fire protection, and electrical). This research assessed the performance and accuracy of both the …


Evaluating Storm Sewer Pipe Condition Using Autonomous Drone Technology, Maria T. Meeks Mar 2016

Evaluating Storm Sewer Pipe Condition Using Autonomous Drone Technology, Maria T. Meeks

Theses and Dissertations

The United States Air Force (USAF) owns a total of 30.9 million linear feet (LF) of storm sewer pipes valued at approximately $2.3B in its vast portfolio of built infrastructure. Current inventory records reveal that 78% of the inventory (24.1 million LF) is over 50 years old and will soon exceed its estimated service life. Additionally, the USAF depends on contract support while its business processes undervalue in-service evaluations from long-term funding plans. Ultimately, this disconnect negatively impacts infrastructure performance and overall strategic success, and the USAF risks making uninformed decisions in a fiscally constrained environment.

This research presents a …


Mission Dependency Index Of Air Force Built Infrastructure: Knowledge Discovery With Machine Learning, Clark W. Smith Mar 2016

Mission Dependency Index Of Air Force Built Infrastructure: Knowledge Discovery With Machine Learning, Clark W. Smith

Theses and Dissertations

Mission Dependency Index (MDI) is a metric developed to capture the relative criticality of infrastructure assets with respect to organizational missions. The USAF adapted the MDI metric from the United States Navy’s MDI methodology. Unlike the Navy’s MDI data collection process, the USAF adaptation of the MDI metric employs generic facility category codes (CATCODEs) to assign MDI values. This practice introduces uncertainty into the MDI assignment process with respect to specific missions and specific infrastructure assets. The uncertainty associated with USAF MDI values necessitated the MDI adjudication process. The MDI adjudication process provides a mechanism for installation civil engineer personnel …