Date of Award
3-2024
Document Type
Thesis
Degree Name
Master of Science in Logistics and Supply Chain Management
Department
Department of Operational Sciences
First Advisor
William A. Cunningham III, PhD
Abstract
This research provides insights into a mixed integer linear programming model that finds the ideal number and type of Electric Vehicle Support Equipment (EVSE) required to meet U.S. military installations’ electric energy demands. Executive Order No. 14057 (2021) requires federal agencies to transition to electric non-tactical vehicles by 2035. This research determines minimum cost solutions to implement the transition incorporating real-world constraints, including the weekly vehicle mileage demand, EVSE cost, charging time, and EVSE capacity. This study contributes to the broader effort of the U.S. military to combat climate change and enhances the understanding of efficient EVSE deployment strategies in large institutions.
AFIT Designator
AFIT-ENS-MS-24-M-067
Recommended Citation
Barton, Katelyn M., "Electric Vehicle Support Equipment Deployment at Military Installations: A Mixed-Integer Linear Programming Approach" (2024). Theses and Dissertations. 7703.
https://scholar.afit.edu/etd/7703
Comments
A 12-month embargo was observed for posting this work on AFIT Scholar.
Distribution Statement A, Approved for Public Release. PA case number on file.