Predictive Modeling for Navy Readiness Based on Resource Investment in Supply Support and Maintenance
| dc.contributor.author | Kamel, Magdi N. | |
| dc.contributor.author | Doerr, Kenneth | |
| dc.contributor.author | Dahel, Eddine | |
| dc.contributor.corporate | Naval Research Program (NRP) | |
| dc.contributor.corporate | Naval Research Program (NRP) | |
| dc.contributor.department | Information Sciences (IS) | |
| dc.contributor.department | Department of Defense Management (DDM) | |
| dc.date | 2022 | |
| dc.date.accessioned | 2023-04-20T23:18:01Z | |
| dc.date.available | 2023-04-20T23:18:01Z | |
| dc.date.issued | 2022 | |
| dc.description | NPS NRP Technical Report | en_US |
| dc.description.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. | en_US |
| dc.description.distributionstatement | Approved for public release. Distribution is unlimited. | en_US |
| dc.description.funder | This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp | en_US |
| dc.description.funder | Chief of Naval Operations (CNO) | en_US |
| dc.description.sponsorship | N4 - Fleet Readiness & Logistics | en_US |
| dc.identifier.npsreport | NPS-IS-22-008 | |
| dc.identifier.other | NPS-22-N080-A | |
| dc.identifier.uri | https://hdl.handle.net/10945/71837 | |
| dc.publisher | Monterey, California: Naval Postgraduate School | en_US |
| dc.relation.ispartofseries | Naval Research Program (NRP) Project Documents | |
| dc.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. | |
| dc.subject.author | Predictive analytics | en_US |
| dc.subject.author | readiness | en_US |
| dc.title | Predictive Modeling for Navy Readiness Based on Resource Investment in Supply Support and Maintenance | en_US |
| dc.type | Technical Report | en_US |
| dspace.entity.type | Publication | |
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