Evaluation of Assignment Policies Using Optimization Models

摘要

It is difficult for the Navy to estimate the impact of changes in assignment policy before those changes are actually made. Also, the Navy has no way to quantify the relationships among assignment policies. Since personnel assignment policies affect many aspects of naval operations, assignment policies should be given a thorough analysis prior to promulgation. The objective of this research is to demonstrate the capability of an optimal assignment model (called EPANS) as a policy evaluation tools. EPANS enables Navy decision makers to quantify policy tradeoffs and to estimate the effects of new or modified policies. The EPANS model was used to make assignments in six ratings: EM, MM, QM, RM, SH, and SK. The data for those ratings include personnel available for assignment, job openings (requisitions), and specialized training available (C-school). The EPANS model was run for each of the ratings and for several policy scenarios.