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Myron Hecht and Jady Handal, An Analytical Model for Predicting the Impact
of Maintenance Resource Allocation on Air Traffic Control System Availability, Proc.
2001 Reliability and Maintainability Symposium, Philadelphia, PA, January, 2001
With the increasing air traffic and growth of deployed FAA equipment, high equipment
availability and low outage time is also becoming more important. While the use
of simulation models and simple queuing models for assessing the impact of staffing
on availability has been available for more than 5 decades, it has not been widely
used because of the cost and complexity of implementation. This paper presents an
analytical model and software tool that can be used by non-experts to relate FAA
maintenance resources including staffing, training, shift allocation, and geographical
deployment to National Airspace System (NAS) facility and service downtime and availability.
The analytical methodology and tool presented in this paper make it possible for
any user to rapidly assess how changes in staffing, training, equipment count, and
reliability will impact outage time, availability, maintenance backlog and technician
utilization. It allows users to easily perform parametric studies on a variety of
"what if" scenarios related to economics and capacity. The most significant benefit
is that these results cam now be made available to analysts and decision makers.
The net result will be more informed decisions that to account for the impact of
maintenance resources on NAS capacity and overall economics.
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