On Efficient Monitoring of Weibull Lifetimes Using Censored Median Hybrid DEWMA Chart release_ibqkp7sxo5b7dkd2a5srqrqll4

by Syed Muhammad Muslim Raza, Ali, S., ISMAIL SHAH, Lichen Wang, yue zhen

Published in Complexity by Hindawi Limited.

2020   Volume 2020, p1-10

Abstract

A control chart named as the hybrid double exponentially weighted moving average (HDEWMA) to monitor the mean of Weibull distribution in the presence of type-I censored data is proposed in this study. In particular, the focus of this study is to use the conditional median (CM) for the imputation of censored observations. The control chart performance is assessed by the average run length (ARL). A comparison between CM-DEWMA control chart and CM-based HDEWMA control chart is also presented in this article. Assuming different shift sizes and censoring rates, it is observed that the proposed control chart outperforms the CM-DEWMA chart. The effect of estimation, particularly the scale parameter estimation, on ARL is also a part of this study. Finally, a practical example is provided to understand the application and to investigate the performance of the proposal in practical scenarios.
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Date   2020-06-13
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