Enlisted Personnel Allocation System (EPAS) Enhancements to the Recruit Quota System (REQUEST) - A Simulation Evaluation

摘要

The Enlisted Personnel Allocation System (EPAS) is an automated classification methodology that allocates applicants to jobs so as to maximize predicted performance while meeting accession requirements. It is designed to work as a subsystem of the Recruit Quota System (REQUEST). For this project the 'operational' EPAS implemented an EPAS-enhanced REQUEST (EER) procedure in which MOS opportunities identified by REQUEST are reordered by EPAS optimization results. Although previous evaluations provided evidence of the utility of EPAS, none of them had addressed the EER. This field test evaluated the EER using a non-intrusive, but highly realistic simulation framework. It compared the EER and REQUEST in terms of classification efficiency and capability to meet Army accession requirements. The results of the analysis indicated that using EPAS to reorder the REQUEST opportunity list could increase the visibility of opportunities in which an applicant would be likely to perform well, while extracting only a small penalty on the visibility of priority MOS. Despite the positive effect of EPAS on the opportunity lists, there was essentially no difference in the average predicted performance between the two conditions.