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- Title
Using FIR to Improve CUSUM Charts for Monitoring Process Dispersion.
- Authors
Sanusi, Ridwan A.; Riaz, Muhammad; Abbas, Nasir; Abujiya, Mu'azu Ramat
- Abstract
Statistical process control deals with monitoring process to detect disturbances in the process. These disturbances may be from the process mean or variance. In this study, we propose some charts that are efficient for detecting early shifts in dispersion parameter, by applying the Fast Initial Response feature. Performance measures such as average run length, standard deviation of the run length, extra quadratic loss, relative average run length, and performance comparison index are used to compare the proposed charts with their existing counterparts, including the Shewhart R chart and the Shewhart S chart with and without warning lines. Others include the CUSUM R chart, the CUSUM S chart, the EWMA of ln S2, the CUSUM of ln S2, the Pσ CUSUM, the χ CUSUM, and the Change Point (CP) CUSUM charts. The proposed charts do not only detect early shifts in the process dispersion faster, but also have better overall performance than their existing counterparts. Copyright © 2016 John Wiley & Sons, Ltd.
- Subjects
QUALITY control charts; CUSUM technique; STATISTICAL process control; RUN-length encoding; MOVING average process
- Publication
Quality & Reliability Engineering International, 2017, Vol 33, Issue 5, p1045
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.2090