Forecasting carrier air-wing operational availability with event step simulation

Approved for public release; distribution is unlimited === This thesis develops an event step simulation that models the Operational Availability (Ao) of carrier aircraft based on the supply and maintenance of Weapon Replaceable Assemblies (WRAs). It verifies that WRA allowances, developed by the Av...

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Main Author: Patten, Michael P.
Other Authors: Schrady, David A.
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2013
Online Access:http://hdl.handle.net/10945/26554
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-265542015-07-03T16:06:09Z Forecasting carrier air-wing operational availability with event step simulation Patten, Michael P. Schrady, David A. Maher, Kevin J. Naval Postgraduate School Naval Postgraduate School Operations Research Approved for public release; distribution is unlimited This thesis develops an event step simulation that models the Operational Availability (Ao) of carrier aircraft based on the supply and maintenance of Weapon Replaceable Assemblies (WRAs). It verifies that WRA allowances, developed by the Aviation Readiness Requirements oriented to WRAs (ARROWs) model, achieve a target level of Ao given stated assumptions. It expands on ARROWs by characterizing not just the expected value of Ao but also its variability and probability distribution function. The simulation is expanded to include a variety of factors not considered by ARROWs. Examples of these factors include actual flight schedules, variable and prioritized requisitioning and repair, and cannibalization. The impact of these factors on the distribution of Ao is quantified. Simultaneous examination of all factors reveals that the full simulation predicts actual Ao approximately as well as ARROWs. In general, the full simulation overestimates Ao, and ARROWs underestimates Ao 2013-01-23T22:00:23Z 2013-01-23T22:00:23Z 1999-09 Thesis http://hdl.handle.net/10945/26554 en_US Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description Approved for public release; distribution is unlimited === This thesis develops an event step simulation that models the Operational Availability (Ao) of carrier aircraft based on the supply and maintenance of Weapon Replaceable Assemblies (WRAs). It verifies that WRA allowances, developed by the Aviation Readiness Requirements oriented to WRAs (ARROWs) model, achieve a target level of Ao given stated assumptions. It expands on ARROWs by characterizing not just the expected value of Ao but also its variability and probability distribution function. The simulation is expanded to include a variety of factors not considered by ARROWs. Examples of these factors include actual flight schedules, variable and prioritized requisitioning and repair, and cannibalization. The impact of these factors on the distribution of Ao is quantified. Simultaneous examination of all factors reveals that the full simulation predicts actual Ao approximately as well as ARROWs. In general, the full simulation overestimates Ao, and ARROWs underestimates Ao
author2 Schrady, David A.
author_facet Schrady, David A.
Patten, Michael P.
author Patten, Michael P.
spellingShingle Patten, Michael P.
Forecasting carrier air-wing operational availability with event step simulation
author_sort Patten, Michael P.
title Forecasting carrier air-wing operational availability with event step simulation
title_short Forecasting carrier air-wing operational availability with event step simulation
title_full Forecasting carrier air-wing operational availability with event step simulation
title_fullStr Forecasting carrier air-wing operational availability with event step simulation
title_full_unstemmed Forecasting carrier air-wing operational availability with event step simulation
title_sort forecasting carrier air-wing operational availability with event step simulation
publisher Monterey, California. Naval Postgraduate School
publishDate 2013
url http://hdl.handle.net/10945/26554
work_keys_str_mv AT pattenmichaelp forecastingcarrierairwingoperationalavailabilitywitheventstepsimulation
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