Aerospace Ground Equipment's Impact on Aircraft Availability and Deployment

Abstract

The first purpose of this thesis was to study the effects of four factors on aircraft availability: the aerospace ground equipment (AGE) design configuration, the mean time between failure (MTBF) of AGE, the mean time to repair (MTTR) AGE, and the travel time to transport the AGE around the flightline. A simulation developed by Carrico (1996) that has its foundation based on the Logistics Composite Model (LCOM) was used. ANOVA results indicated that the present estimates of these factors are too broad for trade studies that include an estimate of aircraft availability to begin. The time it takes AGE to travel from one place to another around the flightline strongly affected aircraft availability. It is recommended that further AGE field observation and data collection be accomplished before the merits of one AGE cart technology is compared to another. The second purpose of this thesis was to collect as much information on the deployability and affordability of AGE as possible. Although much of the information collected was a few years old, the results suggest that new technologies improve the deployment footprint and the combined acquisition and deployment costs. Background information about support equipment and AGE is included in the study.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA329902

Entities

People

  • Jeffrey D. Havlicek

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Computer Programming
  • Computer Programs
  • Computers
  • Deployment
  • Fighter Aircraft
  • Governments
  • Logistics
  • Maintenance
  • Maintenance Personnel
  • Military Operations
  • Military Personnel
  • Test And Evaluation
  • Test Equipment
  • United States
  • Warfare

Readers

  • Economics
  • Logistics and Supply Chain Management.
  • Regression Analysis.

Technology Areas

  • Space