Browse by author
Lookup NU author(s): Dr Mike Cox
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
The cumulative sum (CUSUM) chart is widely employed in quality control to monitor a process or to evaluate historic data. CUSUM charts are designed to exhibit acceptable average run lengths both when the process is in and out of control. This paper introduces a functional technique for generating the parameters h and k for such a chart that will have specified average run lengths. It employs the method of artificial neural networks to derive the appropriate coefficients. An EXCEL spreadsheet to assist computing the parameters is presented. Copyright © Taylor & Francis Inc.
Author(s): Cox MAA
Publication type: Article
Publication status: Published
Journal: Quality Engineering
Print publication date: 01/04/2005
ISSN (print): 0898-2112
ISSN (electronic): 1532-4222
Publisher: Taylor & Francis
Altmetrics provided by Altmetric