Document Type
Article
Publication Date
6-22-2022
Abstract
Purpose — Pilot upgrade training is critical to aircraft and passenger safety. This study aims to identify variances in the US Air Force C-130J pilot upgrade training based on geographic location and provide a model to enhance policy that will impact future pilot training efforts that lower cost and increase operator quality and proficiency.
Design/methodology/approach — This research employed a mixed-method approach. First, the authors collected data and analyzed 90 C-130J pilots' aviation records and then contextualized this analysis with interviews of experts. Finally, the authors present a modified version of Six Sigma's define–measure–analyze–improve–control (DMAIC) that identifies and reduces the variances in C-130J pilot training, translating into higher quality outcomes.
Findings — The results indicate significant statistical variances across geographically separated C-130J pilot training organizations. This leads some organizations to have higher proficiency levels in specific tasks and others with comparative deficiencies. Additionally, the data analysis in this study enabled a recommended number of flight hours in several distinct categories that should be obtained before upgrading a pilot to aircraft commander to enhance standards.
Research limitations/implications — This research was limited to C-130J pilot upgrades, but these results can be implemented within any field that utilizes hours as a measure of experience. Implications from this research can be employed to scope policy that will influence pilot training requirements across all airframes in civilian and military aviation.
Originality/value — This research proposes a process improvement methodology that could be immediately implemented within the C-130J community and, more importantly, in any upgrade training where humans advance into higher echelons of a profession.
DOI
10.1108/JDAL-10-2021-0008
Source Publication
Journal of Defense Analytics and Logistics
Recommended Citation
Slottje, J., Anderson, J., Dickens, J. M., & Reiman, A. D. (2022). Pilot development: an empirical mixed-method analysis. Journal of Defense Analytics and Logistics, 6(1), 21–45. https://doi.org/10.1108/JDAL-10-2021-0008
Included in
Applied Statistics Commons, Aviation and Space Education Commons, Training and Development Commons
Comments
All articles published in JDAL are published Open Access under a Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CC BY 4.0
Sourced from the publisher version of record at Emerald. The citation and DOI link are noted below.