Azam Zaka1, Ahmad Saeed Akhter1, Riffat Jabeen2,*, Aamir Sanaullah2
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1201-1223, 2021, DOI:10.32604/cmes.2021.014477
- 24 May 2021
Abstract In practice, the control charts for monitoring of process mean are based on the normality assumption. But
the performance of the control charts is seriously affected if the process of quality characteristics departs from
normality. For such situations, we have modified the already existing control charts such as Shewhart control
chart, exponentially weighted moving average (EWMA) control chart and hybrid exponentially weighted moving
average (HEWMA) control chart by assuming that the distribution of underlying process follows Power function
distribution (PFD). By considering the situation that the parameters of PFD are unknown, we estimate them by More >
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