A hybrid exponentially weighted moving average chart for COM-Poisson distribution-Reference-Cited by-同舟云学术

A hybrid exponentially weighted moving average chart for COM-Poisson distribution

Published:2016-08-18 Issue:2 Volume:40 Page:456-461
ISSN:0142-3312
Container-title:Transactions of the Institute of Measurement and Control
language:en
Short-container-title:Transactions of the Institute of Measurement and Control

Author:

Aslam Muhammad¹,Khan Nasrullah²,Jun Chi-Hyuck³

Affiliation:

1. Department of Statistics, Faculty of Sciences, King Abdulaziz University, Jeddah 21551, Saudi Arabia

2. Deparment of Statistics, University of Veterinary & Animal Sciences, Lahore (Jhang Campus), Pakistan

3. Department of Industrial and Management Engineering, POSTECH, Pohang 790-784, Republic of Korea

Abstract

We provide the complete design of a hybrid exponentially weighted moving average (HEWMA) control chart for COM-Poisson distribution. The necessary measures of the proposed control chart are given in this manuscript, and the average run lengths (ARLs) are determined through Monte Carlo simulation for various values of specified parameters. The performance of the proposed chart is compared with two existing control charts. The proposed chart is more efficient than these two existing charts in terms of ARLs; application of the proposed chart is described with the help of Montgomery’s data ( Introduction to Statistical Quality Control, John Wiley & Sons, New York, 2007).

Funder

National Research Foundation of Korea

Publisher

SAGE Publications

Subject

Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1177/0142331216659920

Reference33 articles.

1. Enhancing the performance of EWMA charts

2. Mixed Exponentially Weighted Moving Average-Cumulative Sum Charts for Process Monitoring

3. On Proper Choice of Variability Control Chart for Normal and Non-normal Processes