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Strategies to Reduce the Probability of a Misleading Signal

  • Manuel Cabral MoraisEmail author
  • Patrícia Ferreira Ramos
  • António Pacheco
Part of the Frontiers in Statistical Quality Control book series (FSQC)

Abstract

Standard practice in statistical process control (SPC) is to run two individual charts, one for the process mean and another one for the process variance. The resulting scheme is known as a simultaneous scheme and it provides a way to satisfy Shewhart’s dictum that proper process control implies monitoring both location and dispersion.When we use a simultaneous scheme, the quality characteristic is deemed to be out-of-control whenever a signal is triggered by either individual chart. As a consequence, the misidentification of the parameter that has changed can occur, meaning that a shift in the process mean can be misinterpreted as a shift in the process variance and vice versa. These two events are known as misleading signals (MS) and can occur quite frequently.We discuss (necessary and) sufficient conditions to achieve values of probabilities of misleading signals (PMS) smaller than or equal to 0.5, explore, for instance, alternative simultaneous Shewhart-type schemes and check if they lead to PMS which are smaller than the ones of the popular \((\bar{X},\,S^{2})\) simultaneous scheme.

Keywords

Misleading signals Simultaneous schemes Statistical process control 

Notes

Acknowledgements

The first author gratefully acknowledges the financial support received from CEMAT (Centro de Matemática e Aplicações) to attend the XIth International Workshop on Intelligent Statistical Quality Control, Sydney, Australia, August 20–23, 2013.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Manuel Cabral Morais
    • 1
    Email author
  • Patrícia Ferreira Ramos
    • 2
  • António Pacheco
    • 1
  1. 1.CEMAT & Department of MathematicsInstituto Superior TécnicoLisbonPortugal
  2. 2.CEMATInstituto Superior TécnicoLisbonPortugal

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