You are in:Home/Publications/COMPARISON OF MCUSUM AND GENERALIZED VARIANCE |S| MULTIVARIATE CONTROL CHART PROCEDURE WITH INDUSTRIAL APPLICATION

Dr. Mohamed Sewalim El-sayed Hamed :: Publications:

Title:
COMPARISON OF MCUSUM AND GENERALIZED VARIANCE |S| MULTIVARIATE CONTROL CHART PROCEDURE WITH INDUSTRIAL APPLICATION
Authors: Mohamed Hamed
Year: 2017
Keywords: quality control, multivariate process, MCUSUM quality control chart, generalized variance |S| quality control chart.
Journal: Journal of Statistics: Advances in Theory and Applications
Volume: 18
Issue: 2
Pages: 103-142
Publisher: Scientific Advances Publishers
Local/International: International
Paper Link:
Full paper Mohamed Sewalim Elsayed Hamed_COMPARISON OF MCUSUM AND GENERALIZED.pdf
Supplementary materials Not Available
Abstract:

This paper compares the performance of two multivariate methods, based on Multivariate Cumulative Sum (MCUSUM) quality control chart and generalized variance S quality control chart. MCUSUM control charts are widely used in industry because they are powerful and easy to use. They cumulate recent process data to quickly detect out-of-control situations. MCUSUM procedures will usually give tighter process control than classical quality control charts. A MCUSUM signal does not mean that the process is producing bad product. Rather it means that action should be taken so that the process does not produce bad product. MCUSUM procedures give an early indication of process change, they are consistent with a management philosophy that encourages doing it right the first time (Pignatiello and Kasunic [25]). MCUSUM charts tend to have inertia that later data points carry with them. As a result, when a trend occurs on one direction of the target mean and a resulting shift occurs in the other direction of the target mean, the two types of charts will not pick up the shift immediately. Generalized variance S quality control chart is very powerful way to detect small shifts in the mean vector. The main purpose of this paper, presents an improved the generalized variance S quality control chart for multivariate process. Generalized variance chart allow us to simultaneously monitor whether joint variability of two or more related variables is in control. In addition, a control chart commonly requires samples with fixed size be taken at fixed intervals. It is assumed that in both univariate and multivariate control charts, each sample is independent of the previous samples. Thus, this paper decides comparison of MCUSUM and generalized variance S multivariate control chart procedure that there is a strong need for an applied work on the practical development and application study by real data.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus