Monitoring Coefficient of Variation using One-Sided Run Rules control charts in the presence of Measurement Errors

Phuong Hanh Tran, Cédric Heuchenne, Huu Du Nguyen and Hélène Marie
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Cédric Heuchenne: Université catholique de Louvain, LIDAM/ISBA, Belgium

No 2021041, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

Abstract: We investigate, in this paper, the effect of the measurement error (ME) on the performance of Run Rules control charts monitoring the coefficient of variation (CV) squared. The previous Run Rules CV chart in the literature is improved slightly by monitoring the CV squared using two one-sided Run Rules charts instead of monitoring the CV itself using a two-sided chart. The numerical results show that this improvement gives better performance in detecting process shifts. Moreover, we will show through simulation that the precision and accuracy errors do have a negative effect on the performance of the proposed Run Rules charts. We also find out that taking multiple measurements per item is not an effective way to reduce these negative effects. The proposed Run Rules control charts can be applied in the anomaly detection area.

Keywords: Run rules chart; Markov chain; coefficient of variation; measurement errors; anomaly detection (search for similar items in EconPapers)
Pages: 24
Date: 2021-01-01
Note: In: Journal of Applied Statistics,2021, vol. 48(12), p. 2178-2204
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Persistent link: https://EconPapers.repec.org/RePEc:aiz:louvar:2021041

DOI: 10.1080/02664763.2020.1787356

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