Improving the Performance of the Chi-square Control Chart via Runs Rules

Autor:	Demetrios L. Antzoulakos, Markos V. Koutras, Sotirios Bersimis
Rok vydání:	2006
Předmět:	Statistics and Probability u-chart Chart Kagi chart General Mathematics X-bar chart Statistics Control chart EWMA chart Shewhart individuals control chart Multi-vari chart Mathematics
Zdroj:	Methodology and Computing in Applied Probability. 8:409-426
ISSN:	1573-7713 1387-5841
Popis:	The most popular multivariate process monitoring and control procedure used in the industry is the chi-square control chart. As with most Shewhart-type control charts, the major disadvantage of the chi-square control chart, is that it only uses the information contained in the most recently inspected sample; as a consequence, it is not very efficient in detecting gradual or small shifts in the process mean vector. During the last decades, the performance improvement of the chi-square control chart has attracted continuous research interest. In this paper we introduce a simple modification of the chi-square control chart which makes use of the notion of runs to improve the sensitivity of the chart in the case of small and moderate process mean vector shifts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2460ad1ccd28733bd7152bfd9d4171a8 https://doi.org/10.1007/s11009-006-9754-z Zobrazit plný text záznamu Plný text ve formátu PDF