A Novel Method for Monitoring Autocorrelated Simple Liner Profiles

In recent years, as well as univariate and multivariate statistical process control techniques, profile monitoring has been attracted a great deal of attention of many researchers. A profile is a function between response and independent variables that is monitored during the time. There are some assumptions in different monitoring methods. One of the most important assumptions in most of the procedures is independence of residuals. Violation of this assumption can impress the performance of the most of the methods seriously. Many researchers attempted to eliminate or reduce these effects. In this paper we propose a new method of monitoring of auto correlated linear profile in phase II. The performance of our method has been evaluated by using simulation study and ARL criteria and compared with proposed similar methods.