Nonparametric Approaches for Monitoring Process Capability and Analyzing Change-Point for S-Type Quality Characteristic
Process capability analysis is arguably one of the most important engineering decision-making tools. The purpose of this research is to create a nonparametric exponentially weighted moving average (EWMA) capability control chart for monitoring S-type short-term process capabilities. Simulations show that compared with the EWMA capability control chart, the non-parametric EWMA capability control chart is more reasonable and powerful in detecting the capability shift when number of samples is limited. Furthermore, we propose a nonparametric change-point detection method to determine whether and when the capability level has changed. These two methods can help practitioners make correct decisions in real time and monitor short-term process capabilities
Year of publication: |
2023
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Authors: | Liao, Mou-Yuan ; Wu, Chien-Wei |
Publisher: |
[S.l.] : SSRN |
Saved in:
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