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dc.contributor.advisorLucas, Thomas
dc.contributor.advisorMcLemore, Connor
dc.contributor.authorHogarth, Allison R.
dc.dateMar-17
dc.date.accessioned2017-05-10T16:31:38Z
dc.date.available2017-05-10T16:31:38Z
dc.date.issued2017-03
dc.identifier.urihttp://hdl.handle.net/10945/52992
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThe Navy spends over $300 million per year to recruit approximately 35,000 new active duty enlisted Sailors. The Navy has historically used a non-linear optimization model, the Planned Resource Optimization (PRO) model, to help inform decisions on the allocation of those recruiting resources. Input variables to the PRO model include economic influences and policy factors. The result is a recommended allocation of resources for advertisements, recruiters, enlistment bonuses, and education incentives. The PRO model's primary limitations are (1) potential deviations of input variables are not taken into consideration, and (2) extensive experimentation is not feasible. Realistically, input variables to the PRO model fluctuate, are unpredictable, and can interact with other variables to influence the recruiting environment and affect the optimal allocation of recruiting resources. This paper describes the Planned Resource Optimization Model with Experimental Design (PROM-WED), a tool that alleviates the limitations and enhances the analytic utility of the legacy PRO model. PROM-WED embeds the legacy PRO model within a data farming environment. PROM-WED's graphical user interface and decision support capability provide decision makers with robust insights into variable interactions and uncertainties to better inform their recruiting resourcing decisions.en_US
dc.description.urihttp://archive.org/details/improvingnavyrec1094552992
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.titleImproving Navy recruiting with the new Planned Resource Optimization Model with Experimental Design (PROM-WED)en_US
dc.typeThesisen_US
dc.contributor.secondreaderSanchez, Paul
dc.contributor.departmentOperations Research (OR)
dc.subject.authorNavy recruitingen_US
dc.subject.authordata farmingen_US
dc.subject.authordesign of experimentsen_US
dc.subject.authoroptimizationen_US
dc.description.recognitionOutstanding Thesis
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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