@inproceedings{2a443d5ead7a4a36861d65c4d4a980a8,
title = "A study on the performance of lambda control chart for autocorrelated processes",
abstract = "With the development of modern techniques of online data collection, more and more processes are observed to be autocorrelated. Applying traditional Shewhart control chart or even some advanced control charts like CUSUM and EWMA on autoregressive processes will be misleading. The most popular method dealing with autocorrelation is to firstly fit an ARMA model to the processes, and then apply control charts on the residuals. However, their performance is not satisfactory. In this paper, we study the Lambda Control Chart, and explore the characteristics and performance of this scheme.",
keywords = "AR(1), ARMA, Autocorrelation, Process control, SPC",
author = "Suyi Li and Wenjia Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd International Conference on Control Science and Systems Engineering, ICCSSE 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = dec,
day = "14",
doi = "10.1109/CCSSE.2016.7784367",
language = "English",
series = "Proceedings of 2016 2nd International Conference on Control Science and Systems Engineering, ICCSSE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "124--127",
booktitle = "Proceedings of 2016 2nd International Conference on Control Science and Systems Engineering, ICCSSE 2016",
address = "United States",
}