Title : ( On the bivariate control charts for the mean of autocorrelated process )
Authors: VAHIDEH GORGIN , Bahram Sadeghpour Gildeh , Majid Sarmad , Mohammad Amini ,
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Abstract
The major problem in analyzing control charts is to work with autocorrelated data. This problem can be solved by fitting a suitable model to the data and using the control chart for the residuals. In most paper, average run length (ARL) criterion has been used to evaluate the effect of autocorrelation on the performance of control chart, but in this paper, we compare the efficiency of standardized and modified control charts with residuals charts in identifying changes in the mean process in the presence of autocorrelation using the false positive rate (RFP) and the false negative rate (RFN) criterion and compare the results of this criterion with the results of ARL critrrion.
Keywords
, Multivariate autocorrelated processes, Process control, Average run length, Vector autoregressive (VAR) processes
@article{paperid:1080645,
author = {GORGIN, VAHIDEH and Sadeghpour Gildeh, Bahram and Sarmad, Majid and Amini, Mohammad},
title = {On the bivariate control charts for the mean of autocorrelated process},
journal = {International Journal of Productivity and Quality Management},
year = {2020},
volume = {1},
number = {1},
month = {January},
issn = {1746-6474},
pages = {1--18},
numpages = {17},
keywords = {Multivariate autocorrelated processes; Process control; Average run length; Vector autoregressive (VAR) processes},
}
%0 Journal Article
%T On the bivariate control charts for the mean of autocorrelated process
%A GORGIN, VAHIDEH
%A Sadeghpour Gildeh, Bahram
%A Sarmad, Majid
%A Amini, Mohammad
%J International Journal of Productivity and Quality Management
%@ 1746-6474
%D 2020
