Run sum X¯ control chart with estimated process parameters

Sajal Saha, Michael B.C. Khoo, W. L. Teoh, Ming Ha Lee

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The run sum (Formula presented.) control chart is usually investigated under the assumption of known process parameters. In practice, process parameters are rarely known and they need to be estimated from an in-control Phase I dataset. However, different practitioners use different numbers of Phase I samples to estimate the process parameters. As a result, the commonly used performance measure, ie, the average run length becomes a random variable. In this study, we present a run sum (Formula presented.) control chart with estimated process parameters and use the standard deviation of the average run length to evaluate the average of the average run length performance of the run sum (Formula presented.) chart when process parameters are estimated. Based on the standard deviation of the average run length criterion, the number of Phase I samples required by the estimated process parameter–based run sum (Formula presented.) chart to have an average of the average run length performance close to that obtained under the assumption of known process parameters is recommended.

Original languageEnglish
Pages (from-to)1885-1899
Number of pages15
JournalQuality and Reliability Engineering International
Volume33
Issue number8
DOIs
Publication statusPublished - Dec 2017
Externally publishedYes

Keywords

  • average of the average run length
  • average run length
  • parameter estimation
  • run sum X chart
  • standard deviation of the average run length

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