Volume no :18, Issue no: 1, September

MULTIVARIATE STATISTICAL PROCESS OF HOTELLING’S CONTROL CHARTS PROCEDURES WITH INDUSTRIAL APPLICATION

Author's: M. S. Hamed
Pages: [1] - [44]
Received Date: August 21, 2017
Submitted by:
DOI: http://dx.doi.org/10.18642/jsata_7100121868

Abstract

A control chart is a tool that monitors quality characteristics of a process to ensure that process control is being maintained when monitoring multiple characteristics that are correlated, it is imperative to use multivariate control chart. Hotelling’s quality control chart is used to determine whether or not the process mean vector for two or more variables is in-control. It is allowing us to simultaneously monitor whether two or more related variables are in control, and it is shown that multivariate quality control chart do not indicate which variables cause the out-of control signal so that the interpretation of the out-of-control signal. Also, in this paper develops the multivariate quality control charts of the out of-control signal, this will be maintained by making and industrial application on the fertilizers factory. It is important to know that this factory has a special department for quality control, in order to maintain International Standardization Organization (ISO).

Keywords

quality control, multivariate analysis, average run lengths performance, monitoring process.