mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

An EWMA control chart for monitoring the mean of skewed populations using weighted variance

Khoo, Michael B. C. and Atta, Abdu M. A. (2008) An EWMA control chart for monitoring the mean of skewed populations using weighted variance. In: IEEE International Conference on Industrial Engineering and Engineering Management 2008 (IEEM 2008), 8-11 Dec. 2008, Singapore.

[thumbnail of 27.pdf] PDF
Restricted to Repository staff only

Download (879kB) | Request a copy

Abstract

This paper discusses the use of weighted variance (WV) in setting up the limits of the exponentially weighted moving average (EWMA) chart for the monitoring of the mean of a process from a skewed population. This chart, called the WV-EWMA chart hereafter, reduces to the standard EWMA chart when the underlying distribution is symmetric.The Type-I and Type-II errors of the WV-EWMA chart are compared with that of the existing charts for skewed populations. Simulation results show that the new method gives a considerable improvement over the existing methods when the underlying distribution is skewed.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN:978-1-4244-2630-0/08
Uncontrolled Keywords: EWMA chart, X chart, skewed populations, Type-I error, Type-If error, weighted variance, weighted standard deviation, skewness correction
Subjects: Q Science > QA Mathematics
Divisions: College of Arts and Sciences
Depositing User: Dr. Abdu Mohammed Ali Atta
Date Deposited: 09 Jul 2015 04:34
Last Modified: 09 Jul 2015 04:34
URI: https://repo.uum.edu.my/id/eprint/14767

Actions (login required)

View Item View Item