Variable sample size and sampling interval (VSSI) and variable parameters (VP) run sum charts for the coefficient of variation

Yeong, Wai Chung; Tan, Yen Yoon; Lim, Sok Li; Khaw, Khai Wah; Khoo, Michael B. C.

doi:10.1080/16843703.2023.2177812

Cited by 4 publications

(2 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A lot of work has been done on optimal design of control charts in literature [e.g. Capizzi and Masarotto, 34 , Castagliola et al., 35 Khoo et al., 36 Castagliola et al., 37 Saha et al., 38 Yeong et al., 39 Chong et al., 40 Tang et al., 41 Xie et al., 42 Yeong et al 43 …”

Section: Optimal Choice For the Parameters Of The Individual Two‐para...mentioning

confidence: 99%

“…A lot of work has been done on optimal design of control charts in literature [e.g. Capizzi and Masarotto, 34 , Castagliola et al, 35 Khoo et al, 36 Castagliola et al, 37 Saha et al, 38 Yeong et al, 39 Chong et al, 40 Tang et al, 41 Xie et al, 42 Yeong et al 43 ] based on minimizing the out-of-control value of various performance criteria. Since all the study here has been based on ARL (which is the most commonly used performance criterion) the optimal design of the EWMA control chart will be done by minimizing the ARL.…”

Section: Optimal Choice For the Parameters Of The Individual Two-para...mentioning

confidence: 99%

See 1 more Smart Citation

Probability‐type, Shewhart‐type and EWMA control charts for individual observations from the two‐parameter Lindley distribution

Demertzi,

Psarakis

2023

Quality & Reliability Eng

View full text Add to dashboard Cite

Lindley distribution is a continuous distribution with various applications some of which are in medicine, genetics, epidemiology, biology, finance and actuarial sciences, ecology, meteorology, sociology, demography, agriculture, hydrology, geosciences, reliability and engineering, life testing and survival analysis, airborne systems and communications, environmental studies and modeling and describing of human mistakes, strikes, accidents, behavioural and emotional or IQ test scores and waiting times of customers in queues until service, etc. Due to its variety of applications, it appears to be important that control charts for detected shifts in a process should be constructed under the assumption that the quality characteristic of interest follows a Lindley‐related distribution. Here, we construct probability‐type, Shewhart‐type and EWMA control charts (and deal with the optimal choice of its parameters) for individual observations from the two‐parameter Lindley distribution, investigate and compare their performance and illustrate them using examples with both simulated and real data. The whole analysis reveals the superiority of using skewness correction for the construction of the control charts against not using it.

show abstract

Section: Optimal Choice For the Parameters Of The Individual Two‐para...mentioning

confidence: 99%

Section: Optimal Choice For the Parameters Of The Individual Two-para...mentioning

confidence: 99%

Probability‐type, Shewhart‐type and EWMA control charts for individual observations from the two‐parameter Lindley distribution

Demertzi,

Psarakis

2023

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

A study on the performances of the run sum X̄ chart under the gamma process

Le Goh,

Teoh,

Chong

et al. 2024

ITM Web Conf.

View full text Add to dashboard Cite

The run sum (RS) X̄ chart is known as a simple and powerful tool for monitoring the mean of a process. Most developments of the RS X̄ chart assume that the underlying process comes from a normal distribution. However, in practice, many processes tend to follow a non-normal distribution. These non-normal processes affect the performances of control charts under the design of normal distribution. In this paper, we present a detailed analysis on the performances of the RS X̄ chart when the underlying data come from a gamma distribution. By using Monte Carlo simulation approach, the run-length properties, namely the average run length and the standard deviation of the run length will be computed. Particularly, the 4 and 7 regions RS X̄ charts under both distributions are considered. When the charts’ parameters specifically designed for the normal distribution are used to monitor the data from a gamma distribution, simulated results show that RS X̄ charts’ performances are significantly deteriorated. The RS X̄ chart has higher false alarm rates when the underlying distribution is gamma.

show abstract

An integrated optimal-GICP design for the SPRT control chart with estimated process parameters based on the average number of observations to signal

Teoh,

Khoo

et al. 2024

Quality Technology & Quantitative Management

View full text Add to dashboard Cite

Variable sample size and sampling interval (VSSI) and variable parameters (VP) run sum charts for the coefficient of variation

Cited by 4 publications

References 45 publications

Probability‐type, Shewhart‐type and EWMA control charts for individual observations from the two‐parameter Lindley distribution

Probability‐type, Shewhart‐type and EWMA control charts for individual observations from the two‐parameter Lindley distribution

A study on the performances of the run sum X̄ chart under the gamma process

An integrated optimal-GICP design for the SPRT control chart with estimated process parameters based on the average number of observations to signal

Contact Info

Product

Resources

About