Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4762
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dc.contributor.authorBrett Jacobs, Michael Curtis-
dc.contributor.authorDartanyon King-
dc.date.accessioned2022-11-01T14:33:35Z-
dc.date.available2022-11-01T14:33:35Z-
dc.date.issued2022-06-01-
dc.identifier.citationAPAen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4762-
dc.descriptionStudent thesisen_US
dc.description.abstractThe Navy Supply Corps has a wide array of Subspecialties (SSP) and Additional Qualification Designations (AQD) that define an officer’s skillset/experience and billet requirements. Current planning by the Supply Corps’ Office of Personnel (OP) assumes identical retention rates across all SSP/AQD combinations. This strategy may lead to unanticipated effects when changes to policy occur. Our research applies the Markov model to manpower data obtained from OP to analyze the current and forecasted end strength of the Supply Corps’ Financial Management (FM) community. This research addresses the following questions: 1) What are the forecasted end strengths for Navy Supply Corps Officers with FM experience and qualifications? 2) Does the FM community’s current billet structure create enough FM officers to achieve OP’s inventory goal of 2.5 times the number of qualified FM officers per FM billet at the O5-O6 level? We find that if the Supply Corps’ FM community continues along its current manpower trajectory, OP will likely never achieve its inventory goal for the community. However, our models provide multiple ways through which OP can achieve its O5-O6 inventory goals over time.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesFinancial Management;NPS-FM-22-248-
dc.subjectSupply Corpsen_US
dc.subjectNavyen_US
dc.subjectfinancial managementen_US
dc.subjectmanpoweren_US
dc.subjectbusiness financial managementen_US
dc.subject837en_US
dc.subjectBFMen_US
dc.subjectAQDen_US
dc.subjectAdditional Qualification Designationen_US
dc.subjectSSPen_US
dc.subjectsub-specialty codeen_US
dc.subject3100en_US
dc.subjectMarkoven_US
dc.titleEmploying Markov Models to Forecast the End Strength of the US Navy Supply Corps Financial Management (3111) Communityen_US
dc.typeThesisen_US
Appears in Collections:NPS Graduate Student Theses & Reports

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