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Run sum control charts for the monitoring of process variability

Authors :
Demetrios L. Antzoulakos
Athanasios C. Rakitzis
Source :
Quality Technology & Quantitative Management. 13:58-77
Publication Year :
2016
Publisher :
Informa UK Limited, 2016.

Abstract

A two-sided run sum S control chart is proposed and its average run length performance is evaluated via a Markov chain technique. The performance of the chart is compared to several well-known control-charting procedures for the monitoring of process variability. One-sided counterparts of the proposed run sum charts are also discussed. The numerical results demonstrate an improved performance of the run sum S control charts as compared with control charts with runs rules, especially in the detection of increasing shifts in process variability. A practical guidance for the selection of the appropriate charting procedure is also given.

Details

ISSN :
16843703
Volume :
13
Database :
OpenAIRE
Journal :
Quality Technology & Quantitative Management
Accession number :
edsair.doi...........9985c346bed3232ee45d9b695effaf4a