By Topic

Statistical process control for nonnormally distributed variables through the use of transformations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Cuellar, J. ; Digital Equipment Corp., Hudson, MA, USA

The use of normalizing transformations that allow the use of standard SPC (statistical process control) procedures is discussed. A case study is presented to illustrate the use of tests for normality, of normalizing transformations, and the subsequent calculation of the control limits and construction of the SPC graph. It is shown that using normalizing transformations provides a viable method to monitor and control nonnormally distributed variables using standard SPC methods. This approach reduces the rate of false alarms, allows the use of the AT&T rules to detect trends in the data, increases confidence in the ability of SPC to detect points out of control, and uses standard SPC methods, so that learning new procedures is not necessary. One drawback of this method may be that the ordinate of the SPC chart is in the units of the transformed variable

Published in:

Advanced Semiconductor Manufacturing Conference and Workshop, 1991. ASMC 91 Proceedings. IEEE/SEMI 1991

Date of Conference:

21-23 Oct 1991