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RecordNumber
3093
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Author
Naderi, M. H.
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Crop_Body
M. H. Naderi, A. Seif and M. Bameni Moghadam
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Title of Article
Constrained Optimal Design of X Control Chart for Correlated Data under Weibull Shock Model with Multiple Assignable Causes and Taguchi Loss Function
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Title Of Journal
مجله پژوهشهاي آماري ايران
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Publication Year
2018 (1397)
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Volum
15
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Issue Number
1
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Page
1-44
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Keywords
Economic statistical design , X control chart , multiple assignable causes , Weibull shock model , correlated data , Taguchi loss function
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Abstract
A proper method of monitoring a stochastic system is to utilize
the control charts of statistical process control in which a drift in characteristics
of output may be due to one or several assignable causes. In the
establishment of X charts, an assumption is made that there is no correlation
within the samples. However, in practice, there are many industrial cases
in which the correlation does exist within the samples. It would be more
appropriate to assume that each sample is a realization of a multivariate
normal random vector. Although some research works have been done on
the economic design of control charts with single assignable cause with correlated
data, the economic statistical design of X control chart for correlated
data under Weibull shock model with modified Taguchi loss function have
not been presented yet. Using modified Taguchi loss function in the concept
of quality control charts with economic and economic statistical design leads
to better decisions in the industry. Based on the optimization of the average
cost per unit of time and different combination values of Weibull distribution
parameters, optimal design values of sample size, sampling interval and
control limit coefficient were derived and calculated.....
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