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 |
| Journal | Quality and Reliability Engineering International |
| Volume | 32 |
| Issue number | 7 |
| Online published | 28 Dec 2015 |
| DOIs | |
| Publication status | Published - Nov 2016 |
| Externally published | Yes |
Research Keywords
- contamination
- dispersion
- influence function
- normality
- power curves
- robustness
- statistical process control
- standardized variance