Application and assessment of the Recruiting Station Location Evaluation System (RSLES)
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The 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.
NPS Report NumberNPS-SM-00-003
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Mehay, Stephen L.; Gue, Kevin R.; Hogan, Paul F. (Monterey, California. Naval Postgraduate School, 2000-06-09); NPS-SM-00-009RSLES(RECRUITING STATION LOCATION EVALUATION SYSTEM) Abstract: The Department of Defense and the Joint Recruiting Facilities Committee oversee the operation and maintenance of recruiting facilities for the Service recruiting ...
Sammis, Teriann; Wilkinson, Donald R. (Monterey, California. Naval Postgraduate School, 2000-03);The purpose of this thesis is to assess the effectiveness of the Recruiting Station Location Evaluation System (RSLES) optimization model developed at Naval Postgraduate School as a result of the OSD Recruiting Station ...
Munoz, Patricia (Monterey, California. Naval Postgraduate School, 1997-06);In determining the most cost effective recruiting station locations, the military services must be able to identify station costs that vary by location as well as location-specific differences in production. This thesis ...