Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3∆ Control Limits

Tailor, Kalpesh S.

doi:10.15415/mjis.2017.52009

Cited by 4 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hybrid control chart methods were developed as presented by Perla et al 12 and Parry et al 13 In Perla et al, 12 for example, control charts were used to visualize times and phases of the pandemic. Other interesting studies related to the pandemic caused by COVID-19 can be viewed at Inkelas et al, 14 Bergaman et al, 15 and Shah et al 16 In most applications, it is usual for the normal distribution to be indicated to describe the behavior of the quality characteristic, which is adequate and facilitates the analysis as in Abbas, 17 Abu-Shawiesh et al, 18 Khoo and Ariffin, 19 Tailor, 20,21 and others. Additionally, in situations where the quality characteristic is not normally distributed, it is common to propose an adequate transformation for the data, as in Chou 22 and in Fernandes.…”

Section: Introductionmentioning

confidence: 99%

“…In most applications, it is usual for the normal distribution to be indicated to describe the behavior of the quality characteristic, which is adequate and facilitates the analysis as in Abbas, 17 Abu‐Shawiesh et al., 18 Khoo and Ariffin, 19 Tailor, 20,21 and others. Additionally, in situations where the quality characteristic is not normally distributed, it is common to propose an adequate transformation for the data, as in Chou 22 and in Fernandes 23 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

About Shewhart control charts to monitor the Weibull mean based on a Gamma distribution

Vasconcelos

Quinino

et al. 2022

Quality & Reliability Eng

View full text Add to dashboard Cite

A control chart for the mean of a process whose quality characteristic follows a Weibull distribution is evaluated. In this sense, a transformation that follows an exponential distribution is used involving the parameters of scale and form of a Weibull distribution. Such a transformation allows to obtain analytically the control limits to monitor the mean using the Gamma distribution. Compared with recent results in the literature, lower average run lengths after a change (ARL1) values are measured without the need to use intensive Monte Carlo simulation to obtain the control limits as well as to calculate the ARL1 values. A numerical example is presented in detail to illustrate the efficiency and effectiveness of the developed control chart.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

About Shewhart control charts to monitor the Weibull mean based on a Gamma distribution

Vasconcelos

Quinino

et al. 2022

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…(Naik and Tailor 2015) have suggested 3 δ (3 mean deviation) control limits based on moderate distribution. On the basis of 3 δ control limits, they have developed X -chart, R-chart, s-chart and d-chart (Tailor 2016) has also developed moving average and moving range chart and exponentially moving average chart under moderateness assumption.…”

Section: Introductionmentioning

confidence: 99%

Performance of Moving Average (MA) Chart Under Three Delta Control Limits and Six Delta Initiatives

Tailor

2019

Math. J. Interdiscip. Sci.

View full text Add to dashboard Cite

An SQC chart is a graphical tool for representation of the data for knowing the extent of variations from the expected standard. This technique was first suggested by W.A. Shewhart of Bell Telephone Company based on 3σ limits. M. Harry, the engineer of Motorola has introduced the concept of six sigma in 1980. In 6σ limits, it is presumed to attain 3.4 or less number of defects per million of opportunities. Naik V.D and Desai J.M proposed an alternative of normal distribution, which is named as moderate distribution. The parameters of this distribution are mean and mean deviation. Naik V.D and Tailor K.S. have suggested the concept of 3-delta control limits and developed various control charts based on this distribution. Using these concepts, control limits based on 6-delta is suggested in this paper. Also the moving average chart is studied by using 6-delta methodology. A ready available table for mean deviation is prepared for the quality control experts for taking fast actions.

show abstract

Exponentially Weighted Moving Average (EWMA) Chart Based on Six Delta Initiatives

Tailor

2018

Math. J. Interdiscip. Sci.

View full text Add to dashboard Cite

A control chart is a graphical device for representation of the data for knowing the extent of variations from the expected standard. The technique of control chart was suggested by W.A. Shewhart of Bell Telephone Company based on three sigma limits. M. Harry, the engineer of Motorola has introduced the concept of six sigma in 1980. In six sigma initiatives, it is expected to produce 3.4 or less number of defects per million of opportunities. Moderate distribution proposed by Naik and Desai is a sound alternative of normal distribution, which has mean and mean deviation as pivotal parameters and which has properties similar to normal distribution. Naik and Tailor have developed various control charts based on this distribution. In this paper an attempt is made to construct a control chart based on six delta initiatives for exponentially weighted moving average chart. Suitable Table for mean deviation is also constructed and presented for the engineers for making quick decisions.

show abstract

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3∆ Control Limits

Cited by 4 publications

References 3 publications

About Shewhart control charts to monitor the Weibull mean based on a Gamma distribution

About Shewhart control charts to monitor the Weibull mean based on a Gamma distribution

Performance of Moving Average (MA) Chart Under Three Delta Control Limits and Six Delta Initiatives

Exponentially Weighted Moving Average (EWMA) Chart Based on Six Delta Initiatives

Contact Info

Product

Resources

About