Integration of Multivariate Loss Function Approach in the Hotelling’s Charts under Banerjee-Rahim (1988) Weibull Shock Models
نویسندگان
چکیده
A proper monitoring of stochastic systems is the control charts statistical process and drift in characteristics output may be due to one or several assignable causes. Although many research works have been done on economic design with single cause, T^2 chart under Weibull shock model multiple causes considering multivariate Taguchi loss function has not presented yet. Using concept quality leads better decisions industry. Based optimization average cost per unit time taking into account different combination values distribution parameters, optimal ??of sample size, sampling interval limit coefficient were derived calculated. Then models non-uniform uniform scheme compared. The results revealed that a lower than cause integrated sampling.
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ژورنال
عنوان ژورنال: Austrian Journal of Statistics
سال: 2021
ISSN: ['1026-597X']
DOI: https://doi.org/10.17713/ajs.v50i3.857