Shewhart control charts in new perspective

Willem/Wim Albers, W.C.M. Kallenberg

    Research output: Contribution to journalArticleAcademicpeer-review

    7 Citations (Scopus)

    Abstract

    The effects of estimating parameters and the violation of the assumption of normality when dealing with control charts are discussed. Corrections for estimating errors and extensions of the normal control chart to parametric and nonparametric charts are investigated. The underlying theory is extensively discussed, including the choice of a suitable parametric family containing the normal family. It turns out that classical contamination families like random or deterministic mixtures do not give a suitable solution here. The so called normal power family leads to an acceptable family as it is intimately connected to the problem at hand of modelling and estimating an extreme quantile. When the underlying distribution cannot be modelled sufficiently accurately by the normal power family, the nonparametric control chart comes into the picture. A data driven procedure makes the choice between the three different charts. When the nonparametric chart turns up, a large number of Phase I observations is needed. When such a large sample size is not available, it may be preferred to replace the individual chart by a grouped one. The new minimum chart is recommended in that case.
    Original languageUndefined
    Article number10.1080/07474940701246992
    Pages (from-to)123-151
    Number of pages29
    JournalSequential analysis
    Volume26
    Issue number2
    DOIs
    Publication statusPublished - 2007

    Keywords

    • EWI-9643
    • Phase II control limits
    • MSC-62G32
    • MSC-62P30
    • METIS-241572
    • IR-63993
    • Bias correction
    • Exceedance probability
    • Minimum control chart
    • Model error
    • Model selection
    • Empirical quantiles
    • Normal power family
    • Out of control
    • Statistical Process Control
    • Stochastic error
    • MSC-62E20

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