An improved SPRT control chart for monitoring process mean

Yanjing Ou, Zhang Wu, Songlin Chen, Ka Man Lee

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

The sequential probability ratio test (SPRT) chart is a desirable tool for monitoring manufacturing processes due to its high effectiveness. It is especially suitable for applications where testing is very expensive or destructive, such as the automobile airbags test and unaxial tensile test. This article proposes a design algorithm for the SPRT chart in which the reference value (γ) of the SPRT chart is optimized. The design algorithm increases the overall effectiveness of the SPRT chart by more than 10% on average. Moreover, the improvement in detection effectiveness is achieved without any additional difficulty in implementation. A design table is also provided to facilitate quality engineers to design the SPRT chart.
Original languageEnglish
Pages (from-to)1045-1054
Number of pages10
JournalInternational Journal of Advanced Manufacturing Technology
Volume51
Issue number9-12
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes

Keywords

  • Control chart
  • Loss function
  • Optimization design
  • Sequential probability ratio test (SPRT)
  • Statistical process control (SPC)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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