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Sensitivity analysis of navy aviation readiness based sparing model

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Technical Report

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Naval Postgraduate School Monterey United States

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This thesis develops statistical analysis in support of Readiness-Based Sparing RBS for U.S. Navy aviation weapon systems. RBS seeks to determine the least-cost allowance list to meet pre-specified operational availability of specifically identified systems. The research shows how RBS products such as Navy Aviation RBS Model NAVARM can be used by leadership and builders to anticipate changes in RBS cost as a function of changes in key inputs. We develop NAVARM Experimental Designs NED, a computational tool created by applying a state-of-the-art experimental design to the NAVARM model. Statistical analysis of the resulting data identifies the most influential cost factors. Those are, in order of importance availability goal, unit price, wartime flying hours, maintenance rate to failure, high priority order and ship time, number of aircraft, wholesale delay time, rotable pool factor, intermediate maintenance activity repair time, and mean time to repair. Seventy-five percent of NED predictions are within a 3 or less error of actual values for changes within 10 to baseline values, and all predictions are within 7.

Subject Categories:

  • Logistics, Military Facilities and Supplies

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