Research Summaries

Back Comparison of Operational Availability and Endurance Supply Metrics for Naval Aviation Readiness-Based Sparing

Fiscal Year 2023
Division Research & Sponsored Programs
Department Naval Research Program
Investigator(s) Salmeron-Medrano, Javier
Sponsor NPS Naval Research Program (Navy)
Summary Naval Supply Systems Command (NAVSUP) Weapons System Support (WSS) is the U.S. Navy organization that provides naval assets with supply support for their weapon systems (WSs). This research directly supports one of the four CNO¿s Navigation Plan top objectives: Readiness, which refers to the ability to deliver a fleet prepared to meet its mission. One of the most complex problems that NAVSUP planners face is making Readiness-Based Sparing (RBS) allowancing decisions, which involve afloat units (such as aircraft carries or amphibious ships), and ashore sites (such as naval air stations). Decisions include the supply of spare parts for maritime, air and other (such as ground support) systems. In this research, we focus on naval aviation WSs. One of the goals of naval aviation RBS is to find a proper balance between fleet 'readiness' and allowancing cost. While the latter can be easily quantified, readiness is a more complex concept. To date, what constitutes an acceptable readiness metric, and how to precisely calculate it for a given allowance package, are open questions. Currently, NAVSUP WSS uses a metric called operational availability (Ao) that estimates the fraction of time a WS is available to complete its assigned missions. A new concept for readiness called endurance supply (Es) has recently been developed. Es aims at providing an alternative readiness metric by measuring how long the onboard inventory can keep a system operating. This begs the question of what relationships exist between both metrics; and, whether or not, under certain conditions, Es should be used for planning purposes in lieu of (or, in addition to) Ao. This research aims at providing insight into those questions by conducting experimental analysis on a series of naval aviation WS.
Keywords Supply Chain Data Analysis Optimization
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