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dc.contributor.authorSammis, Teriann
dc.contributor.authorWilkinson, Donald
dc.contributor.authorMehay, Stephen
dc.contributor.authorGue, Kevin
dc.date2000-05
dc.date.accessioned2012-11-01T22:59:19Z
dc.date.available2012-11-01T22:59:19Z
dc.date.issued2000-05-15
dc.identifier.urihttp://hdl.handle.net/10945/15407
dc.description.abstractThe purpose of this study is to assess the effectiveness of the Recruiting Station Location Evaluation System (RSLES) optimization model. RSLES was designed to aid DOD decision-makers in determining the optimum number of recruiting stations, their geographic location and staff size. The optimization procedure attempts to maximize contract production subject to service budget constraints. The system integrates an access database, a GAMS optimizer, and MapInfo graphics to provide a flexible environment to maximize production through market analysis and demographic information. This research uses RSLES to analyze three different stationing scenarios. Each scenario is applied in a selected sample of 39 U.S. Metropolitan Statistical Areas (MSA). The station locations and recruiter assignments recommend by the RSLES model are compared to actual stationing decisions made by the Navy and Army in FY 1999 and 2000. Analysis of the different scenarios finds that applying RSLES could increase predicted production of high quality male contracts by as much as 3,938 throughout the entire U.S. compared to the stationing decisions made by the two services.en_US
dc.description.sponsorshipPrepared for: Directorate for Accession Policy, Office of the Assistant Secretary of Defense (FMP), Deputy Assistant Secretary of Defense (MPP)en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleApplication and assessment of the Recruiting Station Location Evaluation System (RSLES)en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentSystems Managementen_US
dc.subject.authorComputer software, demographyen_US
dc.description.funderMIPR#97APAD0058en_US
dc.identifier.oclcocn299061900
dc.identifier.npsreportNPS-SM-00-003
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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