Date of Award
3-2025
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Jesse G. Wales, PhD
Abstract
This research optimizes the number, placement, and capacity of Military Entrance Processing Stations (MEPS) to minimize applicant and recruiter travel and improve recruitment efficiency. Using mixed-integer programming, it develops capacitated facility location (CFLP) and maximal covering location (MCLP) models, considering facility capacity, budget, and geographic coverage. Computational testing and scenario evaluations highlight opportunities to reduce travel and balance capacity. For example, the CFLP model adds three new MEPS, reducing annual applicant travel by 1.2 million miles in Florida and Texas and 1.0 million in California, while increasing accessibility within 60 miles of a MEPS. This data-driven approach provides USMEPCOM with a decision-support tool for strategic facility planning, balancing cost reduction with accessibility to sustain a ready military force.
AFIT Designator
AFIT-ENS-MS-25-M-185
Recommended Citation
Hurst, Micah A., "Military Entrance Processing Station Location and Capacity Optimization" (2025). Theses and Dissertations. 8197.
https://scholar.afit.edu/etd/8197
Comments
An embargo was observed for this posting.
Approved for Public Release. PA Case Number on file.