Programmed Depot Maintenance Capacity Assessment Tool: Workloads, Capacity, and Availability
May 20, 2007
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Aging Air Force fleets have accrued material deterioration problems that have increased maintenance workloads and, in turn, reduced fleet availability for operations and training. Nowhere has this problem been more apparent and severe than during the periodic inspection and repair of aircraft structural elements known as programmed depot maintenance (PDM). PDM is conducted in large Air Force or contractor facilities where aircraft can be partially disassembled, inspected, and repaired.
The total labor required to complete PDM is expected to increase as fleets age, but analysts disagree about the extent. Among other reasons, the uncertainty is due to the difficulty in obtaining the actual labor hours applied during PDM. This has led to the use of other sources of information, such as engineering judgments or statistically based cost and workload trends, to predict future conditions. In the case of the KC-135 aerial refueling tanker, for example, different approaches have led to a wide range of forecasts, from stabilization in the near term (as suggested by the engineering approach) to continued growth (as suggested by the statistical approach).
RAND Project AIR FORCE (PAF) has developed a new method—the PDM Capacity Assessment Tool (PDMCAT)—that estimates future PDM workloads using only minimal information from inside a facility. The tool relies on easily observable features, such as the number of docks for performing maintenance and recent measures of actual performance. It forecasts the average number of aircraft that will be in PDM status each year over several decades, based on
To illustrate the model’s capabilities, PAF used it to evaluate the U.S. Air Force’s capacity for supporting PDM on the KC-135. The research team discovered that, while future annual fleet costs increase and aircraft availability decreases with age and workload, they do so less rapidly than expected because the aircraft induction rates decrease as the PDM flow time increases. This result leads to less-drastic cost and availability forecasts.
PDMCAT can be used to support fleet PDM planning, programming, and budgeting and facility and process improvements. However, PDMCAT is a macro forecasting tool; as with all forecasting tools, its accuracy will depend on how well the underlying factors (e.g., forecasts of future workloads, labor-application rate, depot capacity) have been measured.
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