Neoteric ranked set sampling for robust $$\bar{X}$$ and R control charts

Koyuncu, Nursel; Karagöz, Derya

doi:10.1007/s00500-020-05012-5

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Hanandeh and Al‐Nasser 124 designed a Shewhart‐type mean control chart to monitor the process by employing the cost‐effective MMRSS scheme. Koyuncu and Karagoz 125 used the NRSS scheme in statistical quality control to develop robust X and R control charts. Hanandeh and Al‐Nasser 95 constructed the Shewhart‐type mean control chart to monitor the process mean based on the modified version of the MMRSS scheme.…”

Section: Categorizing Literature Based On Type Of Control Charts Unde...mentioning

confidence: 99%

A review of ranked set sampling and modified methods in designing control charts

Mohammadkhani

Amiri

Khoo

2023

Quality & Reliability Eng

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Statistical process monitoring (SPM) and designing control charts include measuring quality characteristics by considering the time and cost constraints. Ranked set sampling (RSS) is a very efficient and an inexpensive approach in obtaining a more representative sample when the actual measurement of the sampling units is too expensive or destructive, where it is easier to rank the observations. Since 1997, when the first paper on designing control charts based on the RSS scheme was presented, a significant number of papers have been published in this area. This paper provides a literature review on using the RSS schemes in designing control charts. Relevant papers are classified and analyzed to identify the research gaps and provide recommendations and directions for future studies.

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Section: Categorizing Literature Based On Type Of Control Charts Unde...mentioning

confidence: 99%

A review of ranked set sampling and modified methods in designing control charts

Mohammadkhani

Amiri

Khoo

2023

Quality & Reliability Eng

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“…Mehmood et al (2013a) extended the detection ability of the ranked set techniques-based mean control chart by adding runs rules. The interested reader can find more studies of control charts involving ranked set schemes in the works of Nazir et al (2013), Mehmood et al (2014), Abbasi and Riaz (2016), Mehmood et al (2017), Hussain et al (2019), Noor-ul Amin and Tayyab (2020), Nawaz and Han (2020), Noor-ul Amin and Riaz (2020), and Koyuncu and Karagoz (2020), and references therein. The aforementioned elaborated control charts deal with several related characteristics independently, and therefore they are called univariate control charts.…”

Section: Introductionmentioning

confidence: 99%

Generalized Hotelling T² control chart based on bivariate ranked set techniques with runs rules

Mehmood

Riaz

Ali

et al. 2021

Transactions of the Institute of Measurement and Control

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In this study, we have introduced a generalized Hotelling T2 control chart based on bivariate ranked set techniques with runs rules to identify small and moderate variations in a process mean vector. To achieve this aim, plotting statistic and control limits are formulated in generalized approaches. For evaluation purposes, power and power curves are used as performance indicators. Afterwards, power curves are drawn through Monte Carlo simulation procedures by taking into account different choices of factors. A detailed discussion about the role of factors on the performance of the proposed generalized control chart is included. Furthermore, the proposed generalized control chart with double bivariate ranked set techniques is noted to be superb compared to the other cases of single bivariate ranked set techniques. Among single and double versions of bivariate ranked set techniques, the proposed generalized control chart on the basis of median bivariate ranked set techniques is recorded as more efficient relative to the other choices under consideration. Also, comparative analysis shows that the proposed generalized control chart with supplementary runs rules performs outstandingly for detection of small and moderate variations relative to existing control charts. Special cases of the proposed generalized control chart are elaborated to highlight its features for accommodating the existing control charts. To amplify the uses and advantages of the proposed generalized control chart, a real-world example from agriculture is presented.

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Designing efficient dispersion control charts under various ranked-set sampling approaches

Rasheed,

Zhang,

Anwar

et al. 2024

Journal of Computational and Applied Mathematics

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Neoteric ranked set sampling for robust $$\bar{X}$$ and R control charts

Cited by 5 publications

References 8 publications

A review of ranked set sampling and modified methods in designing control charts

A review of ranked set sampling and modified methods in designing control charts

Generalized Hotelling T² control chart based on bivariate ranked set techniques with runs rules

Designing efficient dispersion control charts under various ranked-set sampling approaches

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Neoteric ranked set sampling for robust $$\bar{X}$$ and R control charts

Cited by 5 publications

References 8 publications

A review of ranked set sampling and modified methods in designing control charts

A review of ranked set sampling and modified methods in designing control charts

Generalized Hotelling T2 control chart based on bivariate ranked set techniques with runs rules

Designing efficient dispersion control charts under various ranked-set sampling approaches

Contact Info

Product

Resources

About

Generalized Hotelling T² control chart based on bivariate ranked set techniques with runs rules