Name
Abstract | ||
|---|---|---|
Quality control charts have proven to be very effective in detecting out-of-control states. When a signal is detected a search begins to identify and eliminate the source(s) of the signal. A critical issue that keeps the mind of the process engineer busy at this point is determining the time when the process first changed. Knowing when the process first changed can assist process engineers to focus efforts effectively on eliminating the source(s) of the signal. The time when a change in the process takes place is referred to as the change point. This paper provides an estimator for a period of time in which a step change in the process non-conformity proportion in high yield processes occurs. In such processes, the number of items until the occurrence of the first non-conforming item can be modeled by a geometric distribution. The performance of the proposed model is investigated through several numerical examples. The results indicate that the proposed estimator provides a reasonable estimate for the period when the step change occurred at the process non-conformity level. Copyright (C) 2009 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1002/qre.1007 | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL |
Keywords | Field | DocType |
change point,maximum likelihood estimator,geometric control chart,statistical process control,high-yield processes | Computer science,Maximum likelihood,Control chart,Statistical process control,Geometric distribution,Statistics,Estimator | Journal |
Volume | Issue | ISSN |
25 | 7 | 0748-8017 |
Citations | PageRank | References |
10 | 0.96 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rassoul Noorossana | 1 | 218 | 24.73 |
| Abbas Saghaei | 2 | 41 | 7.70 |
| Kamran Paynabar | 3 | 64 | 9.88 |
| Sara Abdi | 4 | 10 | 0.96 |