One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors
(2021) International Journal of Advanced Manufacturing Technology — n° 5-6, p. 19174938 (2021)
Files
ISBA_RP_2021-37.pdf
Open Access - Adobe PDF
- 679.59 KB
Details
- Authors
- 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.
- Affiliations
Citations
Nguyen, Q.-T., Giner-Bosch, V., Tran, K. D., Heuchenne, C., & Tran, K. P. (2021). One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors. International Journal of Advanced Manufacturing Technology, 5-6, 19174938. https://hdl.handle.net/2078.5/112561 (Original work published 2021)