Geo-Demographic Analysis in Support of the United States Army Reserve (USAR) Unit Positioning and Quality Assessment Model (UPQUAM), Part II [open pdf - 1MB]
"Maintaining unit readiness and a satisfactory unit 'fill-rate' is one of the leading challenges of the United States Army Reserve (USAR). This thesis is the second part of a three-part thesis study that was started by LTC Martin Fair in June 2004 to better position United States Army Reserve (USAR) units. In his thesis, LTC Fair surmised that demographics matter in terms of Troop Program Unit (TPU) placement and the corresponding unit fill-rate. LTC Fair built a database by joining information from the U.S. Census Bureau, U.S. zip codes, and USAR zip code data. LTC Fair also formulated an initial network flow model and began an implementation of the first of many constraints. This thesis examined the relationship between unit location and recruiting success. We were able to validate LTC Fair's constraint models and developed the Military Occupational Specialties (MOS) data sets that show demographics play an important role in determining the percentage of qualified recruits by MOS and ZIP code. Another Naval Postgraduate Student, LTC John Brau, will use these data sets to develop the network flow model, in the third part of this study. That model will optimize reserve unit readiness by positioning TPU's in market segments that are best able to maximize their fill-rate. This research provides the USAR a workable model that takes into account factors such as unit positioning, recruit quality, and includes demographic considerations to determine potential recruiting success by MOS and ZIP code."
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