Adaptive charting schemes based on double sequential probability ratio tests

Yan Li, Xiaolong Pu, Fugee Tsung

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Sequential probability ratio test (SPRT) control charts are shown to be able to detect most shifts in the mean or proportion substantially faster than conventional charts such as CUSUM charts. However, they are limited in applications because of the absence of the upper bound on the sample size and possibly large sample numbers during implementation. The double SPRT (2-SPRT) control chart, which applies a 2-SPRT at each sampling point, is proposed in this paper to solve some of the limitations of SPRT charts. Approximate performance measures of the 2-SPRT control chart are obtained by the backward method with the Gaussian quadrature in a computer program. On the basis of two industrial examples and simulation comparisons, we conclude that the 2-SPRT chart is competitive in that it is more sensitive and economical for small shifts and has advantages in administration because of fixed sampling points and a proper upper bound on the sample size.

Original languageEnglish
Pages (from-to)21-39
Number of pages19
JournalQuality and Reliability Engineering International
Volume25
Issue number1
DOIs
StatePublished - Feb 2009

Keywords

  • Average number of observations to signal (ANOS)
  • Average time to signal (ATS)
  • Control charts
  • Double sequential probability ratio test (2-SPRT)
  • Gaussian quadrature
  • Variable sampling size (VSS)

Fingerprint

Dive into the research topics of 'Adaptive charting schemes based on double sequential probability ratio tests'. Together they form a unique fingerprint.

Cite this