Improved binomial charts for high-quality processes

Willem/Wim Albers

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    Abstract

    For processes concerning attribute data with (very) small failure rate p, often negative binomial control charts are used. The decision whether to stop or continue is made each time r failures have occurred, for some r≥1. Finding the optimal r for detecting a given increase of p first requires alignment of the charts in terms of in-control behavior. In the present paper binomial charts are subjected to this same requirement. Subsequent study reveals that the resulting charts are quite attractive in several aspects, such as detection power. For the case of unknown p, an estimated version of the chart is derived and studied.
    Original languageUndefined
    Pages (from-to)209-216
    Number of pages9
    JournalRevista producao
    Volume21
    Issue number2
    DOIs
    Publication statusPublished - Jun 2011

    Keywords

    • EWI-20321
    • MSC-62P10
    • METIS-278731
    • IR-77685
    • Statistical Process Control
    • Geometric charts
    • Health care monitoring
    • Estimated parameters
    • Average run length

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