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dc.contributor.advisorRichter, Anke
dc.contributor.authorKinstler, Daniel Paul
dc.contributor.authorJohnson, Raymond W.
dc.dateMarch 2005
dc.date.accessioned2012-03-14T17:34:29Z
dc.date.available2012-03-14T17:34:29Z
dc.date.issued2005-03
dc.identifier.urihttp://hdl.handle.net/10945/2205
dc.description.abstractA Markov Model was used to determine the number of nurses the Navy must gain each year in order to maintain desired end strength. Significant characteristics affecting career progression of individuals in the Navy Nurse Corps were identified. The characteristic of primary concern, accession source, was determined to be significant. Markov models were created to identify personnel flow from ENS through LCDR. The models end-strength projections for 2006-2009 were then compared to Nurse Corps targeted end-strengths for this same period. Several scenarios were run to minimize overages and underages in rank distribution. Optimization was achieved by changing both the distribution of accession sources and the distribution of recruited ranks. Optimal distribution of accession source and rank are dependant upon the degree of accepTable deviation from these targets. As stated above we were not able to acquire this information limiting our ability to accurately forecast optimized distribution of accession source or rank. The Markov Model demonstrated that the Nurse Corps current business practices optimize accessions for two year projections. Increasing variation between the current force structure plan and our models projections suggest that greater efficiency could be obtained in the out-years. This Markov Model provides a tool for improving extended forecasts.en_US
dc.description.urihttp://archive.org/details/developingmarkov109452205
dc.format.extentxx, 111 p. : col. ill.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis 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.en_US
dc.subject.lcshManpower planningen_US
dc.subject.lcshUnited Statesen_US
dc.subject.lcshMarkov processesen_US
dc.subject.lcshNumerical solutionsen_US
dc.titleDeveloping a Markov Model to be used as a force shaping tool for the Navy Nurse Corpsen_US
dc.typeThesisen_US
dc.contributor.secondreaderKocher, Kathy
dc.contributor.corporateNaval Postgraduate School
dc.contributor.schoolGraduate School of Business and Public Policy
dc.subject.authorMarkov modelen_US
dc.subject.authorNurse Corps manpoweren_US
dc.subject.authorManpower planningen_US
dc.subject.authorSolveren_US
dc.subject.authorOveragesen_US
dc.subject.authorUnderagesen_US
dc.subject.authorAccession sourceen_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameMaster of Business Administrationen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineBusiness Administrationen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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