Doubling Sampling T2 Control Charts with Estimated Parameters

Charles W. Champ, Francisco Aparisi

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Two double sampling T2 charts are discussed. They only differ in how the second sample is used to suggest to the practitioner the state of the process. An optimal method using a genetic algorithm is given for designing these charts based on the average run length (ARL). An analytical method is used to determine run length performance of the chart. Comparisons are made with various other control charting procedures. Some recommendations are given.

Original languageAmerican English
JournalQuality and Reliability Engineering International
Volume24
DOIs
StatePublished - Jan 1 2008

Keywords

  • ARL
  • Adaptive control chart
  • Genetic algorithm
  • MEWMA
  • Run length distribution
  • Statistical process control

DC Disciplines

  • Education
  • Mathematics

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