Monitoring non-parametric profiles using adaptive EWMA control chart
<p dir="ltr">To monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables (which is denoted as profile monitoring) is becoming an increasingly common approach. Most o...
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2022
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| _version_ | 1864513548247367680 |
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| author | Saddam Akber Abbasi (7908302) |
| author2 | Ali Yeganeh (16624998) Sandile C. Shongwe (10099044) |
| author2_role | author author |
| author_facet | Saddam Akber Abbasi (7908302) Ali Yeganeh (16624998) Sandile C. Shongwe (10099044) |
| author_role | author |
| dc.creator.none.fl_str_mv | Saddam Akber Abbasi (7908302) Ali Yeganeh (16624998) Sandile C. Shongwe (10099044) |
| dc.date.none.fl_str_mv | 2022-08-22T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1038/s41598-022-18381-8 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Monitoring_non-parametric_profiles_using_adaptive_EWMA_control_chart/29069615 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Chemical engineering Mathematical sciences Statistics Statistical process control (SPC) Profile monitoring Non-parametric control charts Adaptive control chart Regression profile monitoring |
| dc.title.none.fl_str_mv | Monitoring non-parametric profiles using adaptive EWMA control chart |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">To monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables (which is denoted as profile monitoring) is becoming an increasingly common approach. Most of the studies in the SPC literature considered parametric approaches in which the functional relationship has the same form in the in-control (IC) and out-of-control (OC) situations. Non-parametric profiles, which have a different functional relationship in the OC conditions are very common. This paper designs a novel control chart to monitor not only the regression parameters but also the variation of the profiles in Phase II applications using an adaptive approach. Adaptive control charts adjust the final statistic with regard to information of the previous samples. The proposed method considers the relative distance of the chart statistic to the control limits as a tendency index and provides some outcomes about the process condition. The results of Monte Carlo simulations show the superiority of the proposed monitoring scheme in comparison with the common non-parametric control charts.</p><h2>Other Information</h2><p dir="ltr">Published in: Scientific Reports<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-022-18381-8" target="_blank">https://dx.doi.org/10.1038/s41598-022-18381-8</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_bc5772f93fcffe749cee62cc99a98c4a |
| identifier_str_mv | 10.1038/s41598-022-18381-8 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29069615 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Monitoring non-parametric profiles using adaptive EWMA control chartSaddam Akber Abbasi (7908302)Ali Yeganeh (16624998)Sandile C. Shongwe (10099044)EngineeringChemical engineeringMathematical sciencesStatisticsStatistical process control (SPC)Profile monitoringNon-parametric control chartsAdaptive control chartRegression profile monitoring<p dir="ltr">To monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables (which is denoted as profile monitoring) is becoming an increasingly common approach. Most of the studies in the SPC literature considered parametric approaches in which the functional relationship has the same form in the in-control (IC) and out-of-control (OC) situations. Non-parametric profiles, which have a different functional relationship in the OC conditions are very common. This paper designs a novel control chart to monitor not only the regression parameters but also the variation of the profiles in Phase II applications using an adaptive approach. Adaptive control charts adjust the final statistic with regard to information of the previous samples. The proposed method considers the relative distance of the chart statistic to the control limits as a tendency index and provides some outcomes about the process condition. The results of Monte Carlo simulations show the superiority of the proposed monitoring scheme in comparison with the common non-parametric control charts.</p><h2>Other Information</h2><p dir="ltr">Published in: Scientific Reports<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-022-18381-8" target="_blank">https://dx.doi.org/10.1038/s41598-022-18381-8</a></p>2022-08-22T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1038/s41598-022-18381-8https://figshare.com/articles/journal_contribution/Monitoring_non-parametric_profiles_using_adaptive_EWMA_control_chart/29069615CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/290696152022-08-22T09:00:00Z |
| spellingShingle | Monitoring non-parametric profiles using adaptive EWMA control chart Saddam Akber Abbasi (7908302) Engineering Chemical engineering Mathematical sciences Statistics Statistical process control (SPC) Profile monitoring Non-parametric control charts Adaptive control chart Regression profile monitoring |
| status_str | publishedVersion |
| title | Monitoring non-parametric profiles using adaptive EWMA control chart |
| title_full | Monitoring non-parametric profiles using adaptive EWMA control chart |
| title_fullStr | Monitoring non-parametric profiles using adaptive EWMA control chart |
| title_full_unstemmed | Monitoring non-parametric profiles using adaptive EWMA control chart |
| title_short | Monitoring non-parametric profiles using adaptive EWMA control chart |
| title_sort | Monitoring non-parametric profiles using adaptive EWMA control chart |
| topic | Engineering Chemical engineering Mathematical sciences Statistics Statistical process control (SPC) Profile monitoring Non-parametric control charts Adaptive control chart Regression profile monitoring |