Article ID: | iaor2016338 |
Volume: | 31 |
Issue: | 8 |
Start Page Number: | 1565 |
End Page Number: | 1574 |
Publication Date: | Dec 2015 |
Journal: | Quality and Reliability Engineering International |
Authors: | Faraz Alireza, Saniga Erwin M, Heuchenne Cedric |
Keywords: | statistics: distributions, control |
In this paper, we present Shewhart‐type Zˉ and S2 control charts for monitoring individual or joint shifts in the scale and shape parameters of a Weibull distributed process. The advantage of this method is its ease of use and flexibility for the case where the process distribution is Weibull, although the method can be applied to any distribution. We illustrate the performance of our method through simulation and the application through the use of an actual data set. Our results indicate that Zˉ and S2 control charts perform well in detecting shifts in the scale and shape parameters. We also provide a guide that would enable a user to interpret out‐of‐control signals.