%0 Journal Article
%T Phase-II Monitoring of AR (1) Autocorrelated Polynomial Profiles
%J Journal of Optimization in Industrial Engineering
%I QIAU
%Z 2251-9904
%A Keramatpour, Mehdi
%A Akhavan Niaki, Seyed Taghi
%A Amiri, Amirhossein
%D 2014
%\ 03/01/2014
%V 7
%N 14
%P 53-59
%! Phase-II Monitoring of AR (1) Autocorrelated Polynomial Profiles
%K Statistical process control
%K Polynomial profiles
%K Phase-ІІ monitoring
%K autocorrelation
%K Average run length
%R
%X 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.
%U http://www.qjie.ir/article_141_be9ffd3ac504f3eff30cba3fc5464b65.pdf