Date of Award
3-2022
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Phillip M. LaCasse, PhD
Abstract
Applicant processing at Military Entrance Processing Stations (MEPS) is conducted via a batch arrival process by which all applicants arrive at the beginning of the processing day. Pursuit of alternate processing scenarios has never progressed beyond the pilot stage, possibly because the Command lacks a general decision support model to evaluate the impacts of proposed policies on applicant processing operations. This research creates a discrete event simulation of MEPS applicant processing operations and applies the model to three alternative applicant processing scenarios: split-shift, appointment- based, and express-lane. Results are examined and compared to benchmarks using multiple performance measurements.
AFIT Designator
AFIT-ENS-MS-22-M-124
DTIC Accession Number
AD1170703
Recommended Citation
Escamilla, Jonathan M., "A Decision Support Simulation to Analyze Scheduling Alternatives for Applicant Processing at Military Entrance Processing Stations (MEPS)" (2022). Theses and Dissertations. 5339.
https://scholar.afit.edu/etd/5339