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Maintenance Cost Modeling |
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RCMC™ Architecture
Current aircraft engine maintenance
activities performed by the Air Force must account for both
scheduled and unscheduled maintenance needs. These maintenance
activities, whether scheduled or unscheduled, are characterized
as following an on-condition maintenance (OCM) strategy: the
maintenance work is performed to repair only what is broken
or has already exceeded its time on wing (TOW) limits.
This OCM strategy, however, suffers
from two shortcomings: the strategy does not opportunistically
account for maintenance tasks that can be expected to occur
before a defined TOW target and neither does it attempt to
reduce the consequences of potential part failures as opposed
to simply the number of failures. Equally important, OCM does
not involve the advanced planning needed to optimize unit
aircraft availability over time. This is in keeping with the
goal of current engine maintenance approaches which is not
to necessarily maximize overall unit aircraft availability,
but instead to maximize earned labor hours against those available
(measured as 'efficiency'). The assumption is that maximizing
efficiency (i.e., utilization) will directly translate into
increased aircraft availability. Instead, maximizing efficiency
may (and often will) lead to sub-optimized availability and
higher maintenance costs.
OCM also involves frequent inspections,
part replacements, and rework in an attempt to maintain high
standards of system reliability. Frequent maintenance requires
that a large inventory of spare engines and engine components
be maintained. However, how much of this cost is truly needed
to ensure the same level of reliability and availability is
not known.
The objective of the Reliability Centered
Maintenance Costing (RCMC™) initiative is to provide the methods and
tools needed to support the critical knowledge discovery, cost modeling,
and maintenance cost projection needed by Reliability Centered Maintenance
(RCM) decision makers. Unlike OCM, in which repairs or replacements
are driven by policy (e.g., periodic maintenance schedules) and/or
the failure to meet specified form, fit, or function specification
limits, the RCMC™ methodology considers the effects of possible maintenance
actions--including the risk of not performing those maintenance
actions--on aggregate level metrics like engine availability, performance,
and life cycle costs.
When determining how to cost different
maintenance strategy options, decision makers must consider not
only the costs that will be incurred today, but also the costs that
will be incurred as a consequence of the actions under consideration.
In other words, effectively weighing different maintenance strategy
options requires both cost accounting and cost projection methods and tools. Cost accounting methods assist in appropriately
allocating observed costs based on actual resource consumption.
Methods like Activity Based Costing (ABC) provide a useful framework
for this purpose. Cost projection involves determining that costs
that will be observed and the timeframe in which they will be incurred.
In the first phase of the RCMC™ initiative, KBSI developed
an advanced cost modeling toolkit specifically tailored for uncertainty-dominated
RCM decision problems. The initiative also developed the methods
needed to effectively apply the RCM technology in realistic settings.
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