Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.Includes bibliographical references: p. 39.Issued also on microfiche from Lange Micrographics.This study used discrete event simulation to model the personnel recruiting process for a U.S. Army recruiting company. Actual data from the company was collected and used to build the simulation model. The model is run under various conditions simulating changes in the recruiting process brought about by policy changes initiated by the U.S. Army Recruiting Command. The standard model is based strictly on the data collected, while the alternative models simulate increases in the number of appointments conducted by recruiters and elimination of one step in the recruiting process. Comparisons between the standard model and the alternative models are made using paired-t tests on the number of recruits put into the Army and the time a recruit spends in the system for each model. The results of this study help to quantify the impact of current policy decisions on the future of the recruiting system
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