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A Hybrid Approach to Statistical Process Control

A Hybrid Approach to Statistical Process Control Successful implementation of statistical process control techniques requires for operational definitions and precise measurements. Nevertheless, very often analysts can dispose of process data available only by linguistic terms, that would be a waste to neglect just because of their intrinsic vagueness. Thus a hybrid approach, which integrates fuzzy set theory and common statistical tools, sounds useful in order to improve effectiveness of statistical process control in such a case. In this work, a fuzzy approach is adopted to manage linguistic information, and the use of a Chi‐squared control chart is proposed to monitor process performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal on Quality Emerald Publishing

A Hybrid Approach to Statistical Process Control

Massimiliano Giorgio; Michele Staiano
Asian Journal on Quality , Volume 5 (1): 16 – Apr 17, 2004
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16 pages

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
1598-2688
DOI
10.1108/15982688200400005
Publisher site
See Article on Publisher Site

Abstract

Successful implementation of statistical process control techniques requires for operational definitions and precise measurements. Nevertheless, very often analysts can dispose of process data available only by linguistic terms, that would be a waste to neglect just because of their intrinsic vagueness. Thus a hybrid approach, which integrates fuzzy set theory and common statistical tools, sounds useful in order to improve effectiveness of statistical process control in such a case. In this work, a fuzzy approach is adopted to manage linguistic information, and the use of a Chi‐squared control chart is proposed to monitor process performance.

Journal

Asian Journal on Quality – Emerald Publishing

Published: Apr 17, 2004

Keywords: Statistical process control; Fuzzy set theory; Generalized p control charts

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