Improving the Performance of the Chi-square Control Chart via Runs Rules |
| |
Authors: | Markos V Koutras Sotirios Bersimis Demetrios L Antzoulakos |
| |
Institution: | (1) Department of Statistics and Insurance Science, University of Piraeus, 18534 Piraeus, Greece |
| |
Abstract: | 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.
|
| |
Keywords: | Multivariate statistical quality control Chi-square control chart Average run length Runs rules |
本文献已被 SpringerLink 等数据库收录! |