|
QICID: 20945
Title: An Optimal Filter Design Approach to Statistical Process Control
Copyright: ASQ
Author: Apley, Daniel W.; Chin, Chang-Ho
Organization: Northwestern University; Kyung Hee University, Gyeonggi-do, Republic of Korea
Subject: Autocorrelation; Control charts; Linear filtering; Markov chains; Statistical process control (SPC); Average run length (ARL); Control limits; In-control process; Out-of-control process;
Series: Journal of Quality Technology, Vol. 39, No. 2, April 2007, pp. 93-117
This ARTICLE is available for FREE
to ASQ members
with the appropriate membership type and/or magazine subscriptions. If you are signed-in you should be able to download articles you are entitled to receive. If you have questions about your membership please contact Customer Care at 800-248-1946 or help@asq.org
Abstract: [This abstract is based on the authors' abstract.]Many control charts are used to determine the output of a linear filter applied to process data. An alarm is sounded when the filter output falls outside a set of control limits. In this study, this concept is generalized by observing the linear filter in its most general time-invariant form. A strategy is provided for optimizing the filter coefficients to minimize the out-of-control average run length (ARL) while constraining the in-control ARL to a desired value. The optimal linear filters exhibit some characteristics of interest, particularly when the process data are autocorrelated. Often, they may outperform an optimally designed exponentially weighted moving average control chart.
Number of pages: 25
Price for ASQ Members: $5.00
Price for List/Forum/Division: $10.00
All electronic articles are sent as PDFs via e-mail. To view the documents, you will need Adobe
Reader (free download).
Orders placed during business hours are usually filled within one business day.
If you have questions please e-mail our Customer Care center at help@asq.org.
Browse QIC articles chronologically
previous next
|
