Run sum control charts for the monitoring of process variability. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Rakitzis, Athanasios C.; Antzoulakos, Demetrios L.
• Is Part Of: Quality technology & quantitative management. Volume 13:Issue 1(2016)
• Page Start: 58
• Page End: 77
• Publication Date: 2016-01-02
• Subjects: Average extra quadratic loss -- average run length -- control charts -- Markov chain -- process variability -- run sum -- runs rules -- sample standard deviation -- statistical process control; Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2016.1139842
• Languages: English
• ISSNs: 1684-3703

Abstract

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.