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...

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Main Authors: Muhammad Aslam, Nasrullah Khan, Mansour Sattam Aldosari, Chi-Hyuck Jun
Format: Article
Language:English
Published: IEEE 2016-01-01
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.
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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