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Circle Chart for the Monitoring of Maxima in Periodic Processes

  • Peipei Deng
  • , Thong Ngee Goh
  • , Yuan Cheng*
  • , Min Xie
  • *Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    An important process characteristic is process maxima as it is often an important quality or performance parameter. Such measurements often play a vital role in process analysis and have to be monitored carefully. In this paper, we consider the problem of monitoring process maxima when the process exhibits a kind of periodicity. A circle chart for periodical process maxima with or without seasonal patterns monitoring is developed and studied, by modeling the process maxima using the extreme value distribution. Mean normalization is applied for periodic process monitoring with seasonal patterns to facilitate comparison between different sections and periods. The average cycle run length is proposed to measure charting efficiency.
    Original languageEnglish
    Pages (from-to)1437-1447
    JournalQuality and Reliability Engineering International
    Volume31
    Issue number8
    DOIs
    Publication statusPublished - 1 Dec 2015

    Research Keywords

    • average cycle run length
    • circle chart
    • extreme value distribution
    • mean normalization
    • periodic process maxima

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