Effects of the two-component measurement error model on X control charts
The statistical properties of Shewhart control charts are known to be highly sensitive to measurement errors. The statistical model relating the measured value to the true, albeit not observable, value of a product characteristic, is usually Gaussian and additive. In this paper we propose to extend the said model to a more general formulation by introducing the two-component error model structure. We study the effects of the proposed error-model on the performance of the mean control charts, since gauge imprecision may seriously alter the statistical properties of the control charts. In order to take measurement errors into account in the design of the control charts we explore the use of different methods based on a weighted variance concept, a skewness correction method and an empirical reference distribution approach respectively. The different approaches are discussed and compared by Monte Carlo simulation. Results indicate that the last two methods produce the best results.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): 71 (2011)
Issue (Month): 3 ()
|Contact details of provider:|| Postal: Via Belle Arti, 41 - Bologna|
Phone: +39 0 51 209.82.01
Fax: +39 0 51 23.21.53
Web page: http://www.stat.unibo.it/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:bot:rivsta:v:71:y:2011:i:3:p:307-327. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michele Costa)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.