Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3∆ Control Limits
DOI:
https://doi.org/10.15415/mjis.2017.52009Keywords:
Mean deviation, Moderate distribution, Exponential weighted moving average, 3δ control limitsAbstract
Moderate distribution is a very good alternative of normal distribution proposed by Naik V.D and Desai J.M. [4], which has mean deviation as scale parameter rather than the standard deviation. Mean deviation (δ) is a very good alternative of standard deviation (σ) as mean deviation is considered to be the most intuitively and rationally defined measure of dispersion. This fact can be very useful in the field of quality control to construct the control limits of the control charts. On the basis of this fact Naik V.D. and Tailor K.S. [5] have proposed 3δ control limits. In 3δ control limits, the upper and lower control limits are set at 3δ distance from the central line where δ is the mean deviation of sampling distribution of the statistic being used for constructing the control chart. In this paper it has been assumed that the underlying distribution of the variable of interest follows moderate distribution proposed by Naik V.D and Desai J.M. [4] and 3δ control limits of exponential weighted moving average chart are derived. Also an empirical study is carried out to illustrate the use these charts.
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Hunter J. S. (1986) The Exponentially Weighted Moving Average, Journal of Quality Technology, 18, 203–210.
Lucas J.M. and Crosier R.B. (1982) Fast Initial Response for CUSUM Quality Control Schemes, Technometrics, 24, 199–205
Lucas J.M. and Saccucci M.S. (1990) Exponentially Weighted Moving average Schemes, Properties and Enhancements, Technometrics, 32, 1–29
Naik V.D and Desai J.M. (2015) Moderate Distribution: A modified normal distribution which has Mean as location parameter and Mean Deviation as scale parameter, VNSGU Journal of Science and Technology, Vol.4, No. 1 256–270
Naik V.D and Tailor K.S. (2015) On performance of and R-charts under the assumption of moderateness rather than normality and with 3 control limits rather than 3 control limits, VNSGU Journal of Science and Technology, Vol.4, No. 1, 243–255
Kalpesh S. Tailor (2016) Moving average and moving range charts under the assumption of moderateness and its 3 control limits
Roberts S.W. (1959) Control chart Tests Based on Geometric Moving Average Charts. Technometrics, Vol.-1, No.-3, pp .239–250
Tailor K.S. and Naik V.D. (2016) Mean deviation () based control limits of SQC charts for sample standard deviation(s) and sample mean deviation (d) and their performance analysis under 3 control limits against 3 control limits, VNSGU Journal of Science and Technology, (Accepted for Publication).
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Articles in Mathematical Journal of Interdisciplinary Sciences (Math. J. Interdiscip. Sci.) by Chitkara University Publications are Open Access articles that are published with licensed under a Creative Commons Attribution- CC-BY 4.0 International License. Based on a work at https://mjis.chitkara.edu.in. This license permits one to use, remix, tweak and reproduction in any medium, even commercially provided one give credit for the original creation.
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Mathematical Journal of Interdisciplinary Sciences by Chitkara University Publications is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at https://mjis.chitkara.edu.in |