Abstract
Shewhart S2 control chart is one of the most commonly used tools to monitor the dispersion of a process. In this article, we evaluate the performance of S2 control chart when the unknown parameter is estimated from Phase-I samples. Average ARL and standard deviation of ARL metrics are used to evaluate the performance. In the first stage of the study, new control limit coefficients are derived so that the average ARL is equal to the pre-fixed ARL, ie, 370. Secondly, different proportion of outliers is contaminated into Phase-I samples, and the resulting elevated average ARL and standard deviation of ARL are measured. Finally, the application of Tukey's outlier detector is proposed with Phase-I samples so that the elevation caused by the outliers can be controlled and the average ARL can be pulled back close to the pre-fixed ARL. For illustration, the proposed procedures are applied to a data on compressive strength of parts manufactured by an injection molding process.
| Original language | English |
|---|---|
| Pages (from-to) | 403-413 |
| Number of pages | 11 |
| Journal | Quality and Reliability Engineering International |
| Volume | 36 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Feb 2020 |
Bibliographical note
Publisher Copyright:© 2019 John Wiley & Sons, Ltd.
Keywords
- average of ARL (AARL)
- average run length (ARL)
- estimation effect
- outlier detector
- statistical process control
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research