Optimizing Army Medical Department Officer Accessions

Abstract

In support of the United States Army Medical Department Personnel Proponency Directorate (APPD), the authors developed a set of math programming models that optimize accessions (hires) for each of the 89 unique active duty officer specialties (e.g., neurosurgeons, aeromedical evacuation pilots, surgical nurses) within six separate corps (e.g., Nurse Corps, Medical Corps, Medical Specialist Corps) encompassing approximately 15,000 Army Medical Department officers. The significance of this set of programming models is that the models provide a decision support mechanism for determining how many officers of each grade to recruit and hire for each specialty. The Medical Specialist Corps model is explicated in this study.

Keywords

personnel optimization army medical non-linear goal programming

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