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Generally weighted moving average control charts using repetitive sampling

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  • Chi-Jui Huang
  • Jen-Hsiang Chen
  • Shin-Li Lu

Abstract

Generally weighted moving average (GWMA) control charts have been validated for effective detection of small process shifts, and perform better than exponentially weighted moving average (EWMA) control charts. These charts are available based on single sampling; however, repetitive sampling charts have received less attention. Here, a GWMA control chart based on repetitive sampling (namely an RS-GWMA chart) is proposed for enhancing detectability of small process shifts. Simulations show that the proposed RS-GWMA chart with large design and small adjustment parameters outperforms existing hybrid EWMA (HEWMA) control charts based on repetitive sampling. An in-silico example is considered for demonstrating the applicability of the proposed RS-GWMA chart.

Suggested Citation

  • Chi-Jui Huang & Jen-Hsiang Chen & Shin-Li Lu, 2021. "Generally weighted moving average control charts using repetitive sampling," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 50(2), pages 297-310, January.
    • Handle: RePEc:taf:lstaxx:v:50:y:2021:i:2:p:297-310
    DOI: 10.1080/03610926.2019.1634212
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