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@article{ART002665338},
author={Chun, Sang Pyo},
title={A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={12},
pages={187-194},
doi={10.9708/jksci.2020.25.12.187}

TY - JOUR
AU - Chun, Sang Pyo
TI - A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 12
PB - The Korean Society Of Computer And Information
SP - 187
EP - 194
SN - 1598-849X
AB - In today's process-oriented industries, such as semiconductor and petrochemical processes, autocorrelation exists between observed data. As a management method for the process where autocorrelation exists, a method of using the observations is to construct a batch so that the batch mean approaches to independence, or to apply the EWMA (Exponentially Weighted Moving Average) statistic of the observed value to the EWMA control chart. In this paper, we propose a method to determine the batch size of UBM (Unweighted Batch Mean), which is commonly used as a management method for observations, and a method to determine the optimal batch size based on ARL (Average Run Length) We propose a method to estimate the standard deviation of the process. We propose an improved control chart for processes in which autocorrelation exists.
KW - Autocorrelation;CUSUM control chart;EWMA control chart;Unweighted Batch Mean;Average Run Length
DO - 10.9708/jksci.2020.25.12.187
ER -

Chun, Sang Pyo. (2020). A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control. Journal of The Korea Society of Computer and Information, 25(12), 187-194.

Chun, Sang Pyo. 2020, "A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control", Journal of The Korea Society of Computer and Information, vol.25, no.12 pp.187-194. Available from: doi:10.9708/jksci.2020.25.12.187

Chun, Sang Pyo "A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control" Journal of The Korea Society of Computer and Information 25.12 pp.187-194 (2020) : 187.

Chun, Sang Pyo. A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control. 2020; 25(12), 187-194. Available from: doi:10.9708/jksci.2020.25.12.187

Chun, Sang Pyo. "A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control" Journal of The Korea Society of Computer and Information 25, no.12 (2020) : 187-194.doi: 10.9708/jksci.2020.25.12.187

Chun, Sang Pyo. A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control. Journal of The Korea Society of Computer and Information, 25(12), 187-194. doi: 10.9708/jksci.2020.25.12.187

Chun, Sang Pyo. A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control. Journal of The Korea Society of Computer and Information. 2020; 25(12) 187-194. doi: 10.9708/jksci.2020.25.12.187

Chun, Sang Pyo. A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control. 2020; 25(12), 187-194. Available from: doi:10.9708/jksci.2020.25.12.187

Chun, Sang Pyo. "A Study on UBM Method Detecting Mean Shift in Autocorrelated Process Control" Journal of The Korea Society of Computer and Information 25, no.12 (2020) : 187-194.doi: 10.9708/jksci.2020.25.12.187