Analysis of Navy Flight Scheduling Methods Using FlyAwake

Abstract

Sleep-related fatigue has negative effects on both human performance and decision making. Pilots are particularly vulnerable to these adverse effects due to the environment and operational requirements, which entails both long and irregular duty cycles. The Air National Guard received funding from Office of the Secretary of Defense, Defense Safety Oversight Council to create FlyAwake, a software application that predicts aircrew fatigue based on circadian cycles. FlyAwake uses the Sleep, Activity, Fatigue, and Task Effectiveness (SAFTE) Model and calculates predicted effectiveness. Recently, contract modifications have permitted integration with U.S. Navy's Sierra Hotel Aviation Readiness Program (SHARP) as an Operational Risk Management (ORM) tool. Naval Aviation does not currently use fatigue modeling as part of operational flight scheduling, and it is the intent of this thesis to provide a proof of concept analysis of FlyAwake for Commander, Navy Air Forces (CNAF). In order to validate FlyAwake, flight schedules from February 2008 were collected from the Helicopter Antisubmarine Squadron Light Four Two (HSL-42) SHARP database. A statistical analysis compared fatigue levels of aircrew using conventional scheduling methods against those with fatigue modeling, and showed improved fatigue-based performance effectiveness with the utilization of FlyAwake.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA508920

Entities

People

  • Ryan P. Beshany

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air National Guard
  • Aircrafts
  • Application Software
  • Brain
  • Data Analysis
  • Flight Crews
  • Graphical User Interface
  • Human Factors Engineering
  • Human Systems Integration
  • National Guard
  • Naval Aviation
  • Navy
  • Risk Management
  • Statistical Analysis
  • Statistics
  • United States

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computational Modeling and Simulation