The Application of Statistical Process Control to Departure Reliability Improvement.

Abstract

This research effort focuses on applying statistical process control (SPC) techniques to the departure reliability improvement process for Air Mobility Command, Mission Reliability Office. Basic SPC methods, including Pareto analysis, cause and effect diagrams, and control charts are determined to be effective tools for analyzing and assessing departure reliability. In addition, two more alternative measures of effectiveness for departure reliability are evaluated and compared using AMC's data. SPC methods are also shown to be useful in assessing in performance and in determining the reporting frequency for on-time performance information. Additional statistical analyses are conducted, including on-way analyses of variance, hypothesis tests, autocorrelation of time series and normal probability plots.

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Document Details

Document Type
Technical Report
Publication Date
Mar 13, 1997
Accession Number
ADA324184

Entities

People

  • Liu W. Chieh

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Aeromedical Evacuation
  • Air Force
  • Air Traffic
  • Aircrafts
  • Airframes
  • Data Science
  • Databases
  • Information Science
  • Logistics
  • Maintenance
  • Probability
  • Random Variables
  • Reliability
  • Spreadsheet Software
  • Statistical Analysis
  • Statistical Processes
  • Statistics

Readers

  • Organizational Process Management (OPM).
  • Regression Analysis.