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Data-Driven Corrosion Prevention and Control Decisions for the USAF

Data-Driven Corrosion Prevention and Control Decisions for the USAF
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Corrosion significantly impacts safety, availability and sustainment costs of U.S. Air Force (AF) systems and equipment. System downtime due to corrosion maintenance decreases the availability of systems to perform their national defense mission and drives the need for more aircraft and associated logistics tail. In addition, the AF spends about $5.5 Billion per year, about 21 percent of the annual AF maintenance budget, on corrosion maintenance. 

Product Number: 51217-061-SG
Author: Jeffrey K.Nusser, Eric Herzberg, Darryl J. Stimson, Charles A. Babish
Publication Date: 2017
Industries: Military , Corrosion Monitoring and Control , Coatings
$0.00
$20.00
$20.00

Corrosion significantly impacts safety, availability and sustainment costs of U.S. Air Force (AF) systems and equipment. System downtime due to corrosion maintenance decreases the availability of systems to perform their national defense mission and drives the need for more aircraft and associated logistics tail. In addition, the AF spends about $5.5 Billion per year, about 21 percent of the annual AF maintenance budget, on corrosion maintenance. This cost exceeds the annual Pentagon budget for the campaign against the Islamic State. Because of these significant impacts, AF leaders need reliable maintenance data and analytical tools to make decisions to reduce the impact of corrosion maintenance. This paper proposes that AF maintenance leaders adopt decision-making model that is built upon metrics developed by LMI to prioritize opportunities for data-driven corrosion maintenance decisions. The LMI metrics methodology uses top-down and bottom-up approaches to converge on an accurate estimate for corrosion-related availability and maintenance cost. The top-down approach starts with DoD-wide data systems then uses a process of elimination to yield AF corrosion maintenance costs. The bottom-up approach aggregates labor and material cost data from maintenance records, using an algorithm or “recipe” developed jointly with AF maintenance experts, to yield availability and cost data. LMI bridges gaps between the top-down and bottom-up totals by applying statistically valid scaling factors.

Corrosion significantly impacts safety, availability and sustainment costs of U.S. Air Force (AF) systems and equipment. System downtime due to corrosion maintenance decreases the availability of systems to perform their national defense mission and drives the need for more aircraft and associated logistics tail. In addition, the AF spends about $5.5 Billion per year, about 21 percent of the annual AF maintenance budget, on corrosion maintenance. This cost exceeds the annual Pentagon budget for the campaign against the Islamic State. Because of these significant impacts, AF leaders need reliable maintenance data and analytical tools to make decisions to reduce the impact of corrosion maintenance. This paper proposes that AF maintenance leaders adopt decision-making model that is built upon metrics developed by LMI to prioritize opportunities for data-driven corrosion maintenance decisions. The LMI metrics methodology uses top-down and bottom-up approaches to converge on an accurate estimate for corrosion-related availability and maintenance cost. The top-down approach starts with DoD-wide data systems then uses a process of elimination to yield AF corrosion maintenance costs. The bottom-up approach aggregates labor and material cost data from maintenance records, using an algorithm or “recipe” developed jointly with AF maintenance experts, to yield availability and cost data. LMI bridges gaps between the top-down and bottom-up totals by applying statistically valid scaling factors.

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