Mixed Control Charts Using EWMA Statistics
In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution. The mixed control chart starts with monitoring the number of non-conforming items but switches to monitoring using exponentially weighted moving aver...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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IEEE
2016-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7744529/ |
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author | Muhammad Aslam Nasrullah Khan Mansour Sattam Aldosari Chi-Hyuck Jun |
author_facet | Muhammad Aslam Nasrullah Khan Mansour Sattam Aldosari Chi-Hyuck Jun |
author_sort | Muhammad Aslam |
collection | DOAJ |
description | In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution. The mixed control chart starts with monitoring the number of non-conforming items but switches to monitoring using exponentially weighted moving average (EWMA) statistic or hybrid EWMA statistic when the decision is indeterminate with the attribute data. The average run lengths are calculated to evaluate the performance of the proposed control charts according to the mean shift. The performance of both control charts is compared with each other and with the existing control chart. Simulation study is given to demonstrate the efficiency of the proposed control charts. |
first_indexed | 2024-12-14T01:58:08Z |
format | Article |
id | doaj.art-0509eb3060864c03bb6ddb81a78eff9c |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-14T01:58:08Z |
publishDate | 2016-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-0509eb3060864c03bb6ddb81a78eff9c2022-12-21T23:21:06ZengIEEEIEEE Access2169-35362016-01-0148286829310.1109/ACCESS.2016.26289157744529Mixed Control Charts Using EWMA StatisticsMuhammad Aslam0https://orcid.org/0000-0003-0644-1950Nasrullah Khan1Mansour Sattam Aldosari2Chi-Hyuck Jun3Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Statistics, University of Veterinary and Animal Sciences, Lahore, PakistanDepartment of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South KoreaIn this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution. The mixed control chart starts with monitoring the number of non-conforming items but switches to monitoring using exponentially weighted moving average (EWMA) statistic or hybrid EWMA statistic when the decision is indeterminate with the attribute data. The average run lengths are calculated to evaluate the performance of the proposed control charts according to the mean shift. The performance of both control charts is compared with each other and with the existing control chart. Simulation study is given to demonstrate the efficiency of the proposed control charts.https://ieeexplore.ieee.org/document/7744529/Exponentially weighted moving averagehybrid exponentially weighted moving averagenormal distributionaverage run lengthmixed chart |
spellingShingle | Muhammad Aslam Nasrullah Khan Mansour Sattam Aldosari Chi-Hyuck Jun Mixed Control Charts Using EWMA Statistics IEEE Access Exponentially weighted moving average hybrid exponentially weighted moving average normal distribution average run length mixed chart |
title | Mixed Control Charts Using EWMA Statistics |
title_full | Mixed Control Charts Using EWMA Statistics |
title_fullStr | Mixed Control Charts Using EWMA Statistics |
title_full_unstemmed | Mixed Control Charts Using EWMA Statistics |
title_short | Mixed Control Charts Using EWMA Statistics |
title_sort | mixed control charts using ewma statistics |
topic | Exponentially weighted moving average hybrid exponentially weighted moving average normal distribution average run length mixed chart |
url | https://ieeexplore.ieee.org/document/7744529/ |
work_keys_str_mv | AT muhammadaslam mixedcontrolchartsusingewmastatistics AT nasrullahkhan mixedcontrolchartsusingewmastatistics AT mansoursattamaldosari mixedcontrolchartsusingewmastatistics AT chihyuckjun mixedcontrolchartsusingewmastatistics |