روشي جديد در كنترل آماري فرايند داده هاي خودهمبسته ي اتورگرسيو از مرتبه ي p

A NEW METHOD IN STATISTICAL PROCESS CONTROL IN THE PRESENCE OF AUTO-CORRELATED AR(P) OBSERVATIONS

In statistical process control, traditionally, the assump­tion is made that successive observations of a quality characteristic are independently distributed. However, in practice, the observations are often serially corre­lated. resulting in poor performances of control charts that work under independent assumption. This point has received considerable attention in the literature in the last decade. In this paper, we propose a new method to statistically control data from AR(p) processes. The results of different simulation studies show that the new method performs better than the best currently pro­posed method, in different scenarios of autocorrelation