One-Sided Synthetic Control Charts for Monitoring the Coefficient of Variation with Measurement Errors

Tran, Kim Phuc; Nguyen, Huu Du; Nguyen, Quang Thang; Chattinnawat, Wichai

doi:10.1109/ieem.2018.8607320

Cited by 12 publications

(8 citation statements)

References 14 publications

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“…Calzada and Scariano proposed an upper one‐sided S1 chart to monitor increases in ω under the zero‐state mode in case K. The charting statistic of the Shewhart‐type CV subchart is

W_{i} = S_{i} / {\overset{true¯}{X}}_{i}

, i = 1, 2, …. More recently, Tran et al studied the latter S1 scheme in the presence of measurement errors.…”

Section: Literature Reviewmentioning

confidence: 99%

An overview of synthetic‐type control charts: Techniques and methodology

Rakitzis

Chakraborti

Shongwe

et al. 2019

Quality & Reliability Eng

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In this paper, we provide an overview of a class of control charts called the synthetic charts. Synthetic charts are a combination of a traditional chart (such as a Shewhart, CUSUM, or EWMA chart) and a conforming run‐length (CRL) chart. These charts have been considered in order to maintain the simplicity and improve the performance of small and medium‐sized shift detection of the traditional Shewhart charts. We distinguish between different types of synthetic‐type charts currently available in the literature and highlight how each is designed and implemented in practice. More than 100 publications on univariate and multivariate synthetic‐type charts are reviewed here. We end with some concluding remarks and a list of some future research ideas.

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“…Calzada and Scariano proposed an upper one‐sided S1 chart to monitor increases in ω under the zero‐state mode in case K. The charting statistic of the Shewhart‐type CV subchart is

W_{i} = S_{i} / {\overset{true¯}{X}}_{i}

, i = 1, 2, …. More recently, Tran et al studied the latter S1 scheme in the presence of measurement errors.…”

Section: Literature Reviewmentioning

confidence: 99%

An overview of synthetic‐type control charts: Techniques and methodology

Rakitzis

Chakraborti

Shongwe

et al. 2019

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…Under the presence of measurement error, the performance of the control chart differs from the performance of the corresponding chart without considering the measurement error due to the change of the parameters of the model. This problem has been pointed out in various control charts by a lager number; see, for example, Nguyen et al, 13‐16 Linna et al, 17 Costa and Castagliola, 18 Noorossana and Zerehsaz, 19 and Tran et al 20,21 …”

Section: Introductionmentioning

confidence: 96%

Design of a variable sampling interval exponentially weighted moving average median control chart in presence of measurement errors

Tran

Nguyen

Nguyễn

et al. 2020

Quality & Reliability Eng

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In the literature, many control charts monitoring the median is designed under a perfect condition that there is no measurement error. This may make the practitioners confusing to apply these control charts because the measurement error is the true problem in practice. In this paper, we consider the effect of measurement error on the performance of the exponentially weighted moving average (EWMA) control chart combining with the variable sampling interval (VSI) strategy. A linear covariate error model is supposed to model the measurement error. The performance of the VSI EWMA median control chart is evaluated through the average time to signal. The numerical simulation shows that the measurement errors have a negative influence on the proposed chart.

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“…In this study, the author used a tight assumption that the relation between the in-control CV and the out-ofcontrol CV is independent from the measurment error. This assumption was then eliminated in the design of other CV control charts considering the measurement error, see, for example Tran et al 17 , Tran et al 18 , Nguyen et al 19 , and Tran and Heuchenne 20 .…”

Section: Introductionmentioning

confidence: 99%

On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors

Tran

Nguyen²,

Tran

et al. 2019

Int J Adv Manuf Technol

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

One-Sided Synthetic Control Charts for Monitoring the Coefficient of Variation with Measurement Errors

Cited by 12 publications

References 14 publications

An overview of synthetic‐type control charts: Techniques and methodology

An overview of synthetic‐type control charts: Techniques and methodology

Design of a variable sampling interval exponentially weighted moving average median control chart in presence of measurement errors

On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors

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