Each year, the US Army recruits and trains thousands of soldiersto fill vacancies in Army organizations. Installations responsible fortraining new recruits are located across the United States. Initialentry training for new recruits is conducted in two phases: basic combattraining (BCT) followed by advanced individual training (AIT).Currently, manual heuristic methods, referred to asheuristics-used-in-practice (HUIP), are used to schedule basic trainingcompanies throughout the planning horizon to support initial entrytraining, where training company scheduling also involves deciding howmany recruits to assign to training companies each week. In this paperwe report our work on: (1) a mathematical dynamic model of BCT; and (2)a decision model for optimally scheduling basic training companies basedon dynamic programming
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