A Simple Approach for Monitoring Process Mean and Variance Simultaneously

摘要: Control charts are effective tools for signal detection in both manufacturing processes and service processes. Much of the data industries comes from a process having non-normal or unknown distributions. The commonly used Shewhart variable control charts, which depend heavily on normality assumption, not appropriately here. In this paper, we propose new EWMA-V Chart EWMA-M based two simple independent statistics to monitor mean variance shifts simultaneously. Further, explore sampling properties monitoring statistics, calculate average run lengths when using proposed EWMA Charts. A numerical example involving times system bank branch Taiwan is illustrate applications Charts, compare them with existing (or standard deviation) charts. Charts show superior performance compared thus recommended.