Redesigning the Joint SPRT Mean and Dispersion Control Chart Based on Mismatched In-control Performances

Jing Wei Teoh*, Wei Lin Teoh, Laila El-Ghandour, Zhi Lin Chong, Sin Yin Teh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In most quality control practices, the mean control chart is used in conjunction with the dispersion control chart to maintain the stability of a production process. Existing literature has suggested setting the in-control average run length (ARL0) of the mean chart and the dispersion chart to be equal. While such designs have the advantage of convenience, it is often unrealistic to assume that the mean and dispersion charts will share a common sensitivity, since mean shifts and variance shifts may occur with different probabilities in practice. In this paper, we propose a mismatched in-control performances strategy for designing the joint sequential probability ratio test (SPRT) mean and dispersion chart. We also develop new optimization designs for the joint SPRT scheme. Results show that the mismatched in-control performances strategy effectively boosts the detection sensitivity of the joint SPRT scheme towards mean shifts alone or variance shifts alone. It is also revealed that the mismatched joint SPRT scheme with a larger ARL on the dispersion chart performs better than the traditional matched joint SPRT scheme for a wide range of process shifts.

Original languageEnglish
Title of host publication20th IEEE International Colloquium on Signal Processing and Its Applications 2024
PublisherIEEE
Pages12-17
Number of pages6
ISBN (Electronic)9798350382310
DOIs
Publication statusPublished - 14 May 2024
Event20th IEEE International Colloquium on Signal Processing and Its Applications 2024 - Langkawi, Malaysia
Duration: 1 Mar 20242 Mar 2024
Conference number: 20
https://www.aconf.org/conf_194153.html

Conference

Conference20th IEEE International Colloquium on Signal Processing and Its Applications 2024
Abbreviated titleCSPA 2024
Country/TerritoryMalaysia
CityLangkawi
Period1/03/242/03/24
Internet address

Keywords

  • average run length
  • joint monitoring control chart
  • manufacturing engineering
  • sequential probability ratio test
  • statistical quality control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Media Technology
  • Control and Optimization
  • Modelling and Simulation

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