The coefficient of variation chart with measurement error

Wai Chung Yeong*, Michael Boon Chong Khoo, Sok Li Lim, Wei Lin Teoh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)


This paper proposes one-sided coefficient of variation (CV) charts with a linearly covariate error model. The one-sided CV charts are the downward and upward CV charts, which detect decreasing and increasing shifts, respectively. Ignoring the presence of measurement error leads to erroneous conclusions regarding the average run length, especially for small number of measurements per item. However, when measurement error is not ignored in computing the control limits, the performance between the CV charts with and without measurement error is similar. It is recommended to adopt the methods proposed in this paper as a general procedure since in the absence of measurement error, the control limits can be set by letting the size of the measurement error to be zero, whereas traditional methods which assume no measurement error will result in dubious results in the presence of measurement error. Finally, the proposed chart is applied on an illustrative example.

Original languageEnglish
Pages (from-to)353-377
Number of pages25
JournalQuality Technology and Quantitative Management
Issue number4
Early online date30 Mar 2017
Publication statusE-pub ahead of print - 30 Mar 2017


  • Average run length
  • coefficient of variation chart
  • linearly covariate error model
  • measurement error
  • multiple measurements

ASJC Scopus subject areas

  • Business and International Management
  • Industrial relations
  • Management Science and Operations Research
  • Information Systems and Management
  • Management of Technology and Innovation


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