A Strategic Airlift Pilot Scheduling Technique Utilizing Statistical Analysis.

Abstract

The Military Airlift Command (MAC) is faced with an ever-increasing pilot retention problem. In recognizing this problem, MAC submitted a Strategic Airlift Aircrew Survey (SAAS) to the MAC aircrew members in 1977. The results of the SAAS indicated that an unstable flying schedule was a primary cause of the high voluntary pilot separation rates. This thesis has examined the MAC flying schedule to determine if there are any relatively predictable elements to the schedule. The authors have taken the predictable elements and have devised techniques for employment at the squadron level to create additional stability in the pilot's flying schedule. The areas of predictability were determined through the use of normality and T-Tests. Regression analysis was then employed to aid the squadron's pilot scheduler in preparing a complete monthly flying schedule prior to the beginning of the affected month. If increased stability in the schedule is achieved, pilot retention rates should increase dramatically. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1980
Accession Number
ADA087085

Entities

People

  • Craig W. Spiess
  • Dean H. Haylett

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airlift Operations
  • Commercial Aviation
  • Commercial Pilots
  • Data Science
  • Databases
  • Employment
  • Information Science
  • Knowledge Management
  • Personnel Management
  • Regression Analysis
  • Social Sciences
  • Statistical Analysis
  • Surveys
  • Training Aircraft
  • War Colleges

Readers

  • Aerospace logistics and air mobility.
  • Regression Analysis.
  • Systems Analysis and Design