Evaluating the implementation of operational readiness and maintenance policies in US army aviation
Loading...
Authors
Semmel, Austin
McConnell, Brandon
Heese, Hans Sebastian
Issue Date
2025-03
Type
Journal articles
Language
Keywords
Operational Readiness , Army Aviation policy , Generalized Additive Model , aviation maintenance , Center for Data Analysis and Statistics
Alternative Title
Abstract
This study examines AH-64 Apache dispatch decisions to assess the implementation of operational readiness (OR) and maintenance policies in the US Army. Current policies are designed to promote a ready and flexible force that is prepared to respond to global force projection requirements. The Army dictates a 75% OR target for aviation equipment and urges units to utilize aircraft uniformly to distribute maintenance capacity and prevent backlog. Given these objectives, we would expect a reduced OR rating to compel fewer sorties and uniformly distributed flying hours over the phase maintenance horizon. However, using a generalized additive model (GAM), findings indicate that diminished OR does not deter flight operations. Moreover, aircraft are more likely to be grounded when approaching scheduled phase maintenance. Further analysis exposes a significant interaction effect; units place greater weight on an aircraft’s hours until phase maintenance in the presence of low OR, highlighting a potential risk aversion in decision-making. Interestingly, control variables (the day of the week and reporting period proximity) highly correlate with flight decisions. The findings suggest that current aviation readiness metrics may have an unintended influence on units’ resource allocation. Future research should investigate unit-specific decision-making frameworks to improve aviation maintenance and OR efficiency.
Description
Citation
Semmel AD, Heese HS, McConnell BM. Evaluating the implementation of operational readiness and maintenance policies in US army aviation. The Journal of Defense Modeling and Simulation. 2025;0(0). doi:10.1177/15485129251328044
Publisher
Sage