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- Title
Monitoring multivariate coefficient of variation with upward Shewhart and EWMA charts in the presence of measurement errors using the linear covariate error model.
- Authors
Ayyoub, Heba N.; Khoo, Michael B. C.; Lee, Ming Ha; Haq, Abdul
- Abstract
In practice, measurement errors exist and ignoring their presence may lead to erroneous conclusions in the actual performance of control charts. The implementation of the existing multivariate coefficient of variation (MCV) charts ignores the presence of measurement errors. To address this concern, the performances of the upward Shewhart‐MCV and exponentially weighted moving average MCV charts for detecting increasing MCV shifts, using a linear covariate error model, are investigated. Explicit mathematical expressions are derived to compute the limits and average run lengths of the charts in the presence of measurement errors. Finally, an illustrative example using a real‐life dataset is presented to demonstrate the charts' implementation.
- Subjects
MEASUREMENT errors; MOVING average process; QUALITY control charts; MARKOV processes
- Publication
Quality & Reliability Engineering International, 2021, Vol 37, Issue 2, p694
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.2757