MIXMAX charts

Willem/Wim Albers

    Research output: Book/ReportReportProfessional

    19 Downloads (Pure)

    Abstract

    For attribute data with (very) small failure rates control charts based on subsequent groups of r failure times, for some r >= 1, have been shown to be attractive. This especially holds for charts which stop once the maximum (MAX) of such a group is sufficiently small, as this choice allows a nonparametric adaptation already for Phase I samples of ordinary size. The choice of r is dictated by the suspected rate of change in failure rate once the process goes out-of-control: for large (small) changes, r should be small (large). Typically,the actual rate of change will be unknown and hence some flexibility w.r.t. the choice of r seems advisable. In the present paper this goal is achieved by mixing a MAX-chart for a large r with one for which r is relatively small.
    Original languageUndefined
    Place of PublicationEnschede
    PublisherUniversity of Twente, Department of Applied Mathematics
    Number of pages13
    Publication statusPublished - Jan 2012

    Publication series

    NameMemorandum / Department of Applied Mathematics
    PublisherUniversity of Twente, Department of Applied Mathematics
    No.1972
    ISSN (Print)1874-4850
    ISSN (Electronic)1874-4850

    Keywords

    • Order statistics
    • EWI-21200
    • Average run length
    • MSC-62P10
    • METIS-285227
    • Sets method
    • IR-79259
    • Statistical Process Control
    • Health care monitoring
    • High quality processes
    • Estimated parameters

    Cite this