INCORPORATING PREDICTIVE MAINTENANCE BEST PRACTICES INTO MARINE CORPS TRAINING AND OPERATIONS
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Authors
Stuetelberg, Mitchell B.
Thomas, Jonathan R.
Subjects
predictive maintenance
remaining useful life
expected useful life
operational availability
maintenance strategy
Marine Corps ground equipment
Condition Based Maintenance PlusCBM+)
remaining useful life
expected useful life
operational availability
maintenance strategy
Marine Corps ground equipment
Condition Based Maintenance PlusCBM+)
Advisors
Regnier, Eva
Hudgens, Bryan J.
Date of Issue
2021-12
Date
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Monterey, CA; Naval Postgraduate School
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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 drew three key conclusions. First, some Marine Corps ground systems are not CBM+ compatible. 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.
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Distribution Statement
Approved for public release. Distribution is unlimited.
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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.