EWMA scheme based on likelihood ratio test for monitoring Maxwell distribution with type-II right censored data

The Maxwell distribution has recently been widely used for life modelling. This paper proposes a new control chart, called the EWMA-LR control chart, for monitoring the Maxwell distribution's quality characteristics with type-II right censored data. We provide the approximate maximum likelihood estimate of the scale parameter for the Maxwell distribution with type-II right censored data. We constructed an EWMA-LR control chart to monitor the shift in the scale parameter of the Maxwell distribution based on the likelihood ratio test. The EWMA-LR control chart is efficient whether it is based on complete or censored data. We evaluate the performance of EWMA-LR control chart using various metrics, including the mean of run length (ARL), the standard deviation of run length (SDRL), and the median of run length (MDRL). Finally, two examples from actual industrial production illustrate the effectiveness of the EWMA-LR control chart in practice.