Date of Award
3-27-2025
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Ryan B. Walton, PhD
Abstract
United States Air Force (USAF) operations rely on sortie generation, a complex system involving aircraft maintenance, operational planning, munitions, security forces, and aircrew. Failures in any of these areas can jeopardize a mission, and extreme weather events such as lightning, high winds, and snow further complicate operations. This thesis examines the impact of extreme weather on sortie generation, focusing on developing a data-driven discrete-event simulation (DES) to predict generation timelines and identify high-risk areas. The model allows users to adjust key inputs, including the month, number of aircraft, processing times, and personnel/equipment availability. By simulating real-world conditions, the model helps operational planners optimize sortie generation and assess risks at northern-tier bases. As a flexible, data-driven tool, the model is adaptable to any base or airframe and provides a virtual representation of the process for decision-making. Results indicate increased risks during extreme weather, highlighting the need for proactive mitigation strategies.
AFIT Designator
AFIT-ENS-MS-25-M-182
Recommended Citation
Case, Markus, "Evaluating Weather Effects on Sortie Generation Using Discrete Event Simulation" (2025). Theses and Dissertations. 8235.
https://scholar.afit.edu/etd/8235
Included in
Aviation Commons, Meteorology Commons, Operational Research Commons
Comments
This work is marked Distribution A, Approved for Public Release. PA case number 8ABW-2025-0261