In order to provide a balanced protection against range of shift sizes in high-quality processes, new one-sided adaptive truncated exponentially weighted moving average (ATEWMA) control chart with known and estimated parameters is developed for monitoring time-between-events (TBE) data. A dedicated Markov chain model established evaluating the run length properties operating conditions. Further...

The drawbacks to multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate exponentially weighted moving average (MEWMA) developed by Lowry, et al (1992) is an example of a multivariate charting scheme whose monitoring statistic is unable to determine which variable caused the signal. In this paper, the run length performance of m...

Airplane is a mode of transportation that has an accident risk. Aircraft accidents are recorded to occur almost every year in Indonesia. The Poisson distribution used model the number aircraft each because they have fixed time and independent. Statistical quality control applied as method monitor fatal Indonesia within limits. One carry out use chart. This study aims apply Exponentially Weighte...