Accession Number : ADA324184

Title :   The Application of Statistical Process Control to Departure Reliability Improvement.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH

Personal Author(s) : Chieh, Liu W.

PDF Url : ADA324184

Report Date : 13 MAR 1997

Pagination or Media Count : 133

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.

Descriptors :   *AIR LOGISTICS SUPPORT, *STATISTICAL PROCESSES, DATA BASES, AIRCRAFT MAINTENANCE, LOGISTICS MANAGEMENT, STATISTICAL DATA, TIME SERIES ANALYSIS, AUTOCORRELATION, ANALYSIS OF VARIANCE, THESES, REGRESSION ANALYSIS, MILITARY APPLICATIONS, SYSTEMS ANALYSIS, HYPOTHESES, CONTROL THEORY, QUALITY ASSURANCE, APPLIED MATHEMATICS, AIR TRAFFIC, TOTAL QUALITY MANAGEMENT, AIR FORCE OPERATIONS, AIRMOBILE OPERATIONS, NORMAL DISTRIBUTION.

Subject Categories : Statistics and Probability
      Logistics, Military Facilities and Supplies
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE