phase-ii monitoring of ar (1) autocorrelated polynomial profiles

in some statistical process control applications, quality of a process or product can be characterized by a relationship between a response and one or more independent variables, which is typically referred to a profile. in this paper, polynomial profiles are considered to monitor processes in which there is a first order autoregressive relation between the error terms in each profile. a remedial measure is first proposed to eliminate the effect of autocorrelation in phase-іі monitoring of autocorrelated profiles. then, three methods are employed to monitor polynomial profiles where their performances are compared using the average run length criterion.