One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors

Quoc-Thông Nguyen, Vicent Giner-Bosch, Kim Duc Tran, Cédric Heuchenne and , E.A.
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Vicent Giner-Bosch: Université catholique de Louvain, LIDAM/ISBA, Belgium
Cédric Heuchenne: Université catholique de Louvain, LIDAM/ISBA, Belgium

No 2021037, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

Abstract: Online monitoring of the multivariate coefficient of variation (MCV) can be of interest in many real situations in which the dispersion of a multivariate process is meant to remain constant with regard to its position. To this aim, several control charts have been recently proposed in the literature. In this paper, the new one-sided adaptive charts to monitor the MCV are proposed. The chart applies a variable sampling interval (VSI) strategy on an exponentially weighted moving average (EWMA) scheme, aiming at benefiting from the known advantages of both approaches. Formulas to optimally determine the parameters of the chart are derived and presented. The proposed chart is shown to outperform competing charts under most circumstances. The presence of the measurement errors is considered to understand their effects on the charts. An illustrative example is also included.

Keywords: Multivariate Coefficient of Variation; EWMA; Variable sampling interval; Average time to signal (ATS); Measurement Errors (search for similar items in EconPapers)
Pages: 36
Date: 2021-05-18
Note: In: The International Journal of Advanced Manufacturing Technology, 2021, 5-6, 19174938
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Persistent link: https://EconPapers.repec.org/RePEc:aiz:louvar:2021037

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