ePrints

A neural network method for modelling the parameters of a CUSUM chart

Lookup NU author(s): Dr Mike Cox

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

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.

Publication metadata

Author(s): Cox MAA

Publication type: Article

Publication status: Published

Journal: Quality Engineering

Year: 2005

Volume: 17

Issue: 2

Pages: 197-205

Print publication date: 01/04/2005

ISSN (print): 0898-2112

ISSN (electronic): 1532-4222

Publisher: Taylor & Francis

URL: http://dx.doi.org/10.1081/QEN-200056431

DOI: 10.1081/QEN-200056431

Altmetrics

Share