Shift Detection Properties of Moving Centerline Control Chart Schemes

In statistical process monitoring, violating the assumption of independent data results in a control chart that exhibits increased false alarms and trends on both sides of the centerline. Autocorrelation requires modification to traditional control chart techniques. This paper explores the shift det...

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Bibliographic Details
Published inJournal of quality technology Vol. 32; no. 1; pp. 67 - 74
Main Authors Mastrangelo, Christina M., Brown, Evelyn C.
Format Journal Article
LanguageEnglish
Published Taylor & Francis 01.01.2000
Subjects
Autocorrelated Data
Exponentially Weighted Moving Average
Statistical Process Control
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Summary:In statistical process monitoring, violating the assumption of independent data results in a control chart that exhibits increased false alarms and trends on both sides of the centerline. Autocorrelation requires modification to traditional control chart techniques. This paper explores the shift detection capability of the moving centerline exponentially weighted moving average (MCEWMA) chart and recommends enhancements for quicker detection of small process upsets.
ISSN:0022-4065
2575-6230
DOI:10.1080/00224065.2000.11979972