Optimal Designs of the Median Run Length Based Double Sampling X̄ Chart for Minimizing the Average Sample Size

Wei Lin Teoh, Michael Boon Chong Khoo, Sin Yin Teh

Research output: Contribution to journalArticle

16 Citations (Scopus)
15 Downloads (Pure)

Abstract

Designs of the double sampling (DS) X̄ chart are traditionally based on the average run length (ARL) criterion. However, the shape of the run length distribution changes with the process mean shifts, ranging from highly skewed when the process is in-control to almost symmetric when the mean shift is large. Therefore, we show that the ARL is a complicated performance measure and that the median run length (MRL) is a more meaningful measure to depend on. This is because the MRL provides an intuitive and a fair representation of the central tendency, especially for the rightly skewed run length distribution. Since the DS X̄ chart can effectively reduce the sample size without reducing the statistical efficiency, this paper proposes two optimal designs of the MRL-based DS X̄ chart, for minimizing (i) the in-control average sample size (ASS) and (ii) both the in-control and out-of-control ASSs. Comparisons with the optimal MRL-based EWMA X̄ and Shewhart X̄ charts demonstrate the superiority of the proposed optimal MRL-based DS X̄ chart, as the latter requires a smaller sample size on the average while maintaining the same detection speed as the two former charts. An example involving the added potassium sorbate in a yoghurt manufacturing process is used to illustrate the effectiveness of the proposed MRL-based DS X̄ chart in reducing the sample size needed.

Original languageEnglish
Article numbere68580
JournalPLoS ONE
Volume8
Issue number7
DOIs
Publication statusPublished - 25 Jul 2013

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

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