An Analysis of AH-1Z Helicopter Pilots and Qualifications: The Impact of Fleet Squadron Training Progression Timelines

Abstract

Assessing warfighting readiness is critical for the Department of Defense to meet our nations security demands. The current readiness system has benefited from technological advancements that enable timely reports; however, the Marine Corps thirst for data has increased as policymakers demand evidence with which to make strategic decisions within todays heavily constrained defense budget. The Marine Corps must therefore search for efficient methods to improve warfighting readiness or risk loss in capability. This research examines pilot qualifications for 111 AH-1Z pilots using data from 2012 to 2017 and compares them with Training and Education Commands pilot qualification timelines. Despite having a robust data-tracking capability, current methods do not use data to identify minimum, maximum, or average time-to-train for pilots. This study provides an empirical analysis of the data and develops a Markov model for forecasting pilot qualifications. While the data do not capture the true behavior of pilots exiting the system, which resulted in unreliable transition probabilities for the forecasting model, our empirical analysis does reveal that the time-to-train from Pilot Qualified in Model through Section Lead takes, on average, 15.1 months longer than current procedures specify, which leads to an overestimation of pilot proficiency and squadron readiness.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2018
Accession Number
AD1052790

Entities

People

  • Charles R. Michalk

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircrafts
  • Attack Helicopters
  • Attrition
  • Business Administration
  • Data Analysis
  • Department Of Defense
  • Enlisted Personnel
  • Flight Crews
  • Flight Training
  • Instructors
  • Literature Surveys
  • Marine Corps
  • Markov Chains
  • Markov Models
  • Military Science
  • Operations Research
  • Organizational Structure
  • Personnel Management
  • Pilots
  • Probability
  • Simulators
  • Standards
  • Statistics
  • Students
  • Training
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Maritime Combat Support and Expeditionary Logistics.
  • Naval Personnel Management