Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4762
Title: Employing Markov Models to Forecast the End Strength of the US Navy Supply Corps Financial Management (3111) Community
Authors: Brett Jacobs, Michael Curtis
Dartanyon King
Keywords: Supply Corps
Navy
financial management
manpower
business financial management
837
BFM
AQD
Additional Qualification Designation
SSP
sub-specialty code
3100
Markov
Issue Date: 1-Jun-2022
Publisher: Acquisition Research Program
Citation: APA
Series/Report no.: Financial Management;NPS-FM-22-248
Abstract: The 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.
Description: Student thesis
URI: https://dair.nps.edu/handle/123456789/4762
Appears in Collections:NPS Graduate Student Theses & Reports

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