Design of S2N—NEWMA Control Chart for Monitoring Process having Indeterminate Production Data

the existing moving average control charts can be only applied when all observations in the data are determined, precise, and certain. But, in practice, the data from the weather monitoring is not exact and express in the interval. in this situation, the available monitoring plans cannot be applied for the monitoring of weather data. A new moving average control chart for the normal distribution is offered under the neutrosophic statistics. The parameters of the offered chart are determined through simulation under neutrosophic statistics. the comparison study shows the superiority of the proposed chart over the moving average control chart under classical statistics. A real example from the weather is chosen to present the implementation of the chart. from the simulation study and real data, the proposed chart is found to be effective to be applied for temperature monitoring than the existing control chart.

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“…The np and X-bar control chart using NS were developed by Aslam et al 32,33 . Aslam et al 34,35 worked on EWMA charts under NS.…”

mentioning

confidence: 99%

RETRACTED ARTICLE: Monitoring the temperature through moving average control under uncertainty environment

Aslam

Shareef

Khan

2020

Sci Rep

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“…Suppose that

denotes the neutrosophic sample mean and

presents the neutrosophic sample variance. Reference [ 33 ] proposed the following NEWMA statistic as a generalization of the EWMA statistic proposed by [ 35 , 36 ].

…”

Section: The Proposed Chartmentioning

confidence: 99%

“…The proposed control chart has four control limits. The proposed control chart reduces to the control chart proposed by [ 33 ] when no repetition is needed. The probability of being in-control for the proposed control chart is:

where

is the probability of repetition and

is the probability of being in-control for the single sampling, given by:

…”

Section: The Proposed Control Chartmentioning

confidence: 99%

“…Fix the sample size

and generate 10,000 random samples of size

and select the values of

and

from [ 33 ]. Compute the values of the statistic

for the specified indeterminacy parameter

and plot these values of NCLs.…”

Section: The Proposed Control Chartmentioning

confidence: 99%

“…References [ 32 , 19 ] introduced control charts under neutrosophic statistics. Reference [ 33 ] proposed a

chart using a single sampling scheme. Repetitive sampling is the extension of single sampling and is applied when no decision is made on the basis of single sample information.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Road Accidents and Injuries Using Variance Chart under Resampling and Having Indeterminacy

Aslam

Albassam

2021

IJERPH

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C-Control Charts with Neutrosophic Sets

Ercan-Teksen

2021

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

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Control charts are a statistical method that has been used for years to analyze the current situation regarding quality. Control charts, like many other methods, have been made with exact numbers for many years. Recently, new number sets have emerged due to the abundance of data, attempts to collect subjective data, the realization of the uncertainties in the data and the desire to reduce them. These are ordinary fuzzy sets and their extensions derived from these sets. These sets have started to be used in many areas. One of these areas is control charts. Especially because qualitative control charts are created with unmeasurable and more subjective data, it is more appropriate to create with fuzzy sets that are more flexible than exact sets. Therefore, studies on fuzzy sets and control charts with fuzzy set extensions are available in the literature, but control chart studies with neutrosophic sets are limited. The aim of this study is to find neutrosophic control limits by using neutrosophic sets for c-control charts and to create neutrosophic ccontrol charts with these sets. In this way, it is thought that the study will contribute to the literature.

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Design of S2N—NEWMA Control Chart for Monitoring Process having Indeterminate Production Data

Cited by 12 publications

References 38 publications

RETRACTED ARTICLE: Monitoring the temperature through moving average control under uncertainty environment

RETRACTED ARTICLE: Monitoring the temperature through moving average control under uncertainty environment

Monitoring Road Accidents and Injuries Using Variance Chart under Resampling and Having Indeterminacy

C-Control Charts with Neutrosophic Sets

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