Simulating MQ-9 Aircrew Training to Determine Throughput, Identify Bottlenecks, and Optimize Manning Levels

Authors

Lance E. Champagne, Air Force Institute of TechnologyFollow
Thomas P. Talafuse, Air Force Institute of Technology
Erika E. Gilts, Air Force Institute of Technology

Document Type

Article

Publication Date

2024

Abstract

Unprecedented demand for unmanned aerial systems (UAS) by the United States Air Force is driving a corresponding demand on training units responsible for producing UAS aircrew. This research develops a simulation model of daily training operations based on historical data from a UAS flying training unit. Current requirements, operations, and instructor manning levels are used to derive a baseline throughput of trained aircrew. Subsequent analyses explore the impact of course frequency, class size, and instructor manning levels on trained aircrew produced. This research shows specific adjustments in staff skill mix and class size can significantly increase student throughput and reduce training time. Results drive novel approaches for course execution, increasing instructor utilization and informing staffing for appropriate manning levels required to meet growing UAS aircrew requirements.

Comments

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DOI

JSTOR:27317893

Source Publication

Military Operations Research

Recommended Citation

Champagne, L. E., Talafuse, T. P., & Gilts, E. E. (2024). Simulating MQ-9 Aircrew Training to Determine Throughput, Identify Bottlenecks, and Optimize Manning Levels. Military Operations Research, 29(2), 5–18.