A EWMA control chart based on repetitive sampling to monitor process mean with geometric poisson characteristics

Asma Arshad, Muhammad Azam, Muhammad Aslam, Chi Hyuck Jun

Research output: Contribution to journalJournal articlepeer-review

2 Scopus citations

Abstract

In this article, we proposed a control chart based on the exponentially weighted moving average (EWMA) statistic for monitoring count data following a Geometric-Poisson (GP) distribution by adopting a repetitive sampling scheme. The performance of the proposed control chart is assessed in terms of the average run length (ARL) and the standard deviation of run length (SDRL) at various process shifts and various specified parameter values. It has been analyzed that the proposed control chart is more efficient than an existing EWMA chart based on single sampling in terms of ARLs.

Original languageEnglish
Pages (from-to)186-194
Number of pages9
JournalIndustrial Engineering and Management Systems
Volume16
Issue number2
DOIs
StatePublished - Jun 2017

Keywords

  • ARL
  • Control chart
  • Count data
  • EWMA
  • Geometric-Poisson (GP) distribution
  • Repetitive sampling

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