1 Citation (Scopus)

Abstract

A Simultaneous control chart is a well-known tool for monitoring the process mean and process variability with a single chart. In recent decades, many researchers have been interested in developing simultaneous control charts. The Shewhart chart is the most common and simple simultaneous control chart. The Multivariate Maximum control chart (Max-Mchart) is a type Shewhart chart that simultaneously monitors the process of multivariate data. This paper proposes a new transformation using a half-normal distribution to improve the Max-chart performance for subgroup observations. The new proposed chart is called Max-Half-Mchart. The Average Run Length (ARL) results show that the proposed Max-Half-Mchart outperforms the Max-Mchart. Additionally, in real data scenarios, the proposed Max-Half-Mchart is consistent with the statistic in the Hotelling T2 chart and the Generalized Variance (GV) chart.

Original languageEnglish
Article number9496665
Pages (from-to)105369-105381
Number of pages13
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Keywords

  • Max-Half-Mchart
  • Single control chart
  • multivariate control chart
  • simultaneous monitoring
  • subgroup observations

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