Predictive Modeling for Navy Readiness Based on Resource Investment in Supply Support and Maintenance
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Authors
Kamel, Magdi N.
Doerr, Kenneth
Dahel, Eddine
Subjects
Predictive analytics
readiness
readiness
Advisors
Date of Issue
2022
Date
2022
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The Navy invests substantial resources to fleet maintenance in terms of part supply, corrective maintenance, maintenance availabilities, and overhauls. In order to measure and prioritize weapon systems investment decisions, an endurance supply metric (Es)is being developed to ensure these systems are ready for tasking across the full spectrum of operations. This research project will attempt to extend the endurance supply concept beyond a single ship by determining what would be the endurance supply for a given group of ships within line of sight of each other and assuming they could transfer parts from one ship to another. The effort will also determine the endurance supply for a single ship assuming resupply from the wholesale system is allowed. The research will provide guidance to what data should the Navy capture to make better decisions using the Es metric.
Type
Technical Report
Description
NPS NRP Technical Report
Series/Report No
Department
Information Sciences (IS)
Department of Defense Management (DDM)
Organization
Naval Research Program (NRP)
Identifiers
NPS Report Number
NPS-IS-22-008
Sponsors
N4 - Fleet Readiness & Logistics
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.