Abstract
A statistical process control chart named the mixture cumulative count control chart (MCCC-chart) is suggested in this study, motivated by an existing control chart named cumulative count control chart (CCC-chart). The MCCC-chart is constructed based on the distribution function of a two component mixture of geometric distributions using the number of items inspected until a defective item is observed 'n' as plotting statistics. We have observed that the MCCC-chart has the ability to perform equivalent to the CCC-chart when number of defective items follows geometric distribution and better than the CCC-chart when the number of defective items produced by a process follows a mixture geometric model. The MCCC-chart may be considered as a generalized version of CCC-chart.
| Original language | English |
|---|---|
| Pages (from-to) | 2289-2307 |
| Number of pages | 19 |
| Journal | Quality and Quantity |
| Volume | 47 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jun 2013 |
Keywords
- ARL
- CCC-chart
- High yield process
- MCCC-chart
- Mixture models
ASJC Scopus subject areas
- Statistics and Probability
- General Social Sciences