Design of X-Bar Control Chart for Resampling Under Uncertainty Environment

Aslam, Muhammad

doi:10.1109/access.2019.2915007

Cited by 8 publications

(7 citation statements)

References 42 publications

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“…Neutrosophic statistics didasarkan pada logika neutrosophic yang merupakan bentuk umum dari logika Fuzzy. Neutrosophic statistics merupakan bentuk pengembangan dari classical statistics yang sesuai ketika digunakan untuk data dengan nilai yang tidak pasti [5]. Logika neutrosophic tidak memerlukan transformasi untuk mendapatkan derajat keanggotaan seperti pada logika Fuzzy.…”

Section: Pendahuluanunclassified

Penerapan Peta Kendali Neutrosophic Exponentially Weighted Moving Average (NEWMA) X dalam Monitoring Rata-Rata Proses Ketebalan Kaca

et al. 2022

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In the industrial sector, the measurement results of a quality characteristic often involve an uncertainty interval (interval indeterminacy). This causes the classical control chart to be less suitable for monitoring quality. Currently, a control chart with a neutrosophic approach has been developed. The neutrosophic control chart was developed based on the concept of neutrosophic numbers with control charts. One of the control charts that have been developed to monitor the mean process is the Neutrosophic Exponentially Weighted Moving Average (NEWMA) X control chart. This control chart is a combination of neutrosophic with classical EWMA control chart. The neutrosophic control chart consists of two control charts, namely lower and upper, each of which consists of upper and lower control limits. Therefore, NEWMA X is more sensitive to detect out-of-control observations. In this research, the NEWMA X control chart will be used to monitor the average process of the thickness of the panasap dark grey 5mm glass produced by a glass industry. Through the analysis in this research, it was found that by using weighting λN [0, 10; 0, 10] and constant value kN [2, 565; 2, 675], the average process of the thickness of panasap dark grey 5mm glass has not beet controlled statistically because 21 observations were identified that were outside the control limits (out of control). When compared with the classical EWMA control chart with the same weighting λ, 17 observations were detected out of control. This proves that the NEWMA X control chart is more sensitive in detecting observations that are out of control because the determination of the in-control state is based on two values, lower and upper, both at the lower and upper control limits.

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Section: Pendahuluanunclassified

Penerapan Peta Kendali Neutrosophic Exponentially Weighted Moving Average (NEWMA) X dalam Monitoring Rata-Rata Proses Ketebalan Kaca

et al. 2022

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“…Likewise, the neutrosophic structure of ARL has been used in many recent studies for assessing the performance of proposed control charts [30]. The ARL ∈ [ARL L , ARL U ] for proposed MD-chart can be determined.…”

Section: Proposed Designmentioning

confidence: 99%

A New Dispersion Control Chart for Handling the Neutrosophic Data

et al. 2020

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The control chart based on mean deviation (MD ) is customary used as a robust alternative to the existing Shewhart control charts for observing changes in dispersion parameter of the process. The existing model of MD control chart is rooted under the assumption that indeterminate observations are not included in measured quality characteristic. If, inspected quality data entail some indeterminate and vague information, typical design of the MD control chart could not be effectively employed. This study originally presents an appropriate generalized design namely neutrosophic mean deviation ( MD) control chart that could accommodate imprecise observations in collected quality characteristic variables. Under the neutrosophic situation, the related properties of this newly MD design have been derived. Using simulated data, performance of the MD control chart in terms of neutrosophic average run length ( ARL) is investigated. The performance of proposed MD control chart relative to existing competitor designs has been evaluated. The study reveals that proposed design of MD chart outperforms as to existing counterparts in terms of statistical power. To illustrate the efficacy of this new design, real data from a manufacturing company has been used to describe the control procedure of the proposed MD control chart.INDEX TERMS Fuzzy control charts, probability limits, mean deviation, neutrosophic data, variability control charts.

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“…With continuous data, one needs to monitor the mean and the variation of the variable of interest. Control charts for monitoring the mean were proposed by Aslam and Khan [21], Aslam [22], and Aslam et al [23]. Aslam [22] modified the neutrosophic approach of Aslam and Khan [21] to allow repetitive sampling.…”

Section: Introductionmentioning

confidence: 99%

“…Control charts for monitoring the mean were proposed by Aslam and Khan [21], Aslam [22], and Aslam et al [23]. Aslam [22] modified the neutrosophic approach of Aslam and Khan [21] to allow repetitive sampling. Aslam et al [23] used a moving average chart approach while Aslam et al [24] proposed a neutrosophic cumulative sum (CUSUM) chart.…”

Section: Introductionmentioning

confidence: 99%

A Review and Perspective on Neutrosophic Statistical Process Monitoring Methods

2022

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We review the literature on statistical process monitoring methods based on neutrosophic principles. We question some of the underlying assumptions and raise important questions about these and other neutrosophic statistical methods that need to be addressed before the methodology could be taken seriously.INDEX TERMS Control chart, exponentially weighted moving average (EWMA) chart, interval arithmetic, interval data, Shewhart control chart.

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Design of X-Bar Control Chart for Resampling Under Uncertainty Environment

Cited by 8 publications

References 42 publications

Penerapan Peta Kendali Neutrosophic Exponentially Weighted Moving Average (NEWMA) X dalam Monitoring Rata-Rata Proses Ketebalan Kaca

Penerapan Peta Kendali Neutrosophic Exponentially Weighted Moving Average (NEWMA) X dalam Monitoring Rata-Rata Proses Ketebalan Kaca

A New Dispersion Control Chart for Handling the Neutrosophic Data

A Review and Perspective on Neutrosophic Statistical Process Monitoring Methods

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