Abstract
Control charts are important statistical tool used to monitor fluctuations in the process location and dispersion parameters. The issues relating to the appropriate choice of control charts for the effective detection of process variability are addressed, and different control chart structures, such as Shewhart-type, exponentially weighted moving average and cumulative sum are explored under ideal assumption of normality and contaminated normal environments, and hence, those control charts structures are identified which are more capable to detect aberrant changes in the process dispersion.
| Original language | English |
|---|---|
| Pages (from-to) | 2481-2490 |
| Number of pages | 10 |
| Journal | Quality and Reliability Engineering International |
| Volume | 32 |
| Issue number | 7 |
| DOIs | |
| State | Published - 1 Nov 2016 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:Copyright © 2015 John Wiley & Sons, Ltd.
Keywords
- contamination
- dispersion
- influence function
- normality
- power curves, robustness
- standardized variance
- statistical process control
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research
Fingerprint
Dive into the research topics of 'Control Charts for Process Dispersion Parameter under Contaminated Normal Environments'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver