Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4520
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Mitchell Stuetelberg | - |
dc.contributor.author | Jonathan Thomas | - |
dc.date.accessioned | 2021-12-09T20:05:22Z | - |
dc.date.available | 2021-12-09T20:05:22Z | - |
dc.date.issued | 2021-12-09 | - |
dc.identifier.citation | Published--Unlimited Distribution | en_US |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/4520 | - |
dc.description | Acquisition Management / Defense Acquisition Community Contributor | en_US |
dc.description.abstract | The Marine Corps currently utilizes a traditional time-based strategy for ground equipment maintenance, conducting preventative maintenance at specified time intervals and corrective maintenance when failure occurs. In 2020, the Marine Corps initiated the transition from this maintenance strategy to a Condition Based Maintenance Plus (CBM+) strategy, which detects subcomponent anomalies in advance through data analytics so maintenance can be conducted before failure occurs. Hypothetically, CBM+ will generate increased cost-savings, reduce man-hour requirements, and improve operational availability for Marine Corps ground systems. Using a case study methodology, this project highlights best practices within the commercial mining, railroad, and heavy equipment industries by interviewing maintenance professionals and supplementing these discussions with existing literature. We then used a thematic analysis across five themes: organizational structure, asset classification, information technology (IT) infrastructure, data management, and maintenance decision making. By highlighting commonalities across the cases and evaluating best practices, we came to three key conclusions. In the first instance, some of Marine Corps ground systems are not CBM+ compatible. In the second, significant upgrades to existing maintenance infrastructure are necessary. Finally, CBM+ should be used as a decision-making framework to maximize cost-savings and combat readiness. | en_US |
dc.description.sponsorship | Acquisition Research Program | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Acquisition Research Program | en_US |
dc.relation.ispartofseries | Acquisition Management;NPS-AM-22-009 | - |
dc.subject | predictive maintenance | en_US |
dc.subject | remaining useful life | en_US |
dc.subject | expected useful life | en_US |
dc.subject | operational availability | en_US |
dc.subject | maintenance strategy | en_US |
dc.subject | Marine Corps ground equipment | en_US |
dc.subject | Condition Based Maintenance Plus | en_US |
dc.title | Incorporating Predictive Maintenance Best Practices Into Marine Corps Training and Operations | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | NPS Graduate Student Theses & Reports |
Files in This Item:
File | Description | Size | Format | |
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NPS-AM-22-009.pdf | Student Thesis | 1.33 MB | Adobe PDF | View/Open |
Research Poster Students Stuetelberg,Thomas.pdf | Student Poster | 219.97 kB | Adobe PDF | View/Open |
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