Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters
<p>In usual quality control methods, the quality of a process or product is evaluated by monitoring one or more quality characteristics using their corresponding distributions. However, when the quality characteristic is defined through the relationship between one or more response and indepen...
محفوظ في:
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| مؤلفون آخرون: | , , , |
| منشور في: |
2021
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513557768437760 |
|---|---|
| author | Ali Yeganeh (16624998) |
| author2 | Ali Reza Shadman (16896390) Ioannis S. Triantafyllou (16896393) Sandile Charles Shongwe (11986029) Saddam Akber Abbasi (7908302) |
| author2_role | author author author author |
| author_facet | Ali Yeganeh (16624998) Ali Reza Shadman (16896390) Ioannis S. Triantafyllou (16896393) Sandile Charles Shongwe (11986029) Saddam Akber Abbasi (7908302) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ali Yeganeh (16624998) Ali Reza Shadman (16896390) Ioannis S. Triantafyllou (16896393) Sandile Charles Shongwe (11986029) Saddam Akber Abbasi (7908302) |
| dc.date.none.fl_str_mv | 2021-02-24T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2021.3061990 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Run_Rules-Based_EWMA_Charts_for_Efficient_Monitoring_of_Profile_Parameters/24049278 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Manufacturing engineering Mathematical sciences Statistics Monitoring Control charts Process control Covariance matrices Sensitivity Quality control linear profiles phase II profile monitoring run rules scheme |
| dc.title.none.fl_str_mv | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>In usual quality control methods, the quality of a process or product is evaluated by monitoring one or more quality characteristics using their corresponding distributions. However, when the quality characteristic is defined through the relationship between one or more response and independent variables, the regime is referred to as profiles monitoring. In this article, we improve the performance of the Exponentially Weighted Moving Average Range (EWMAR) control charts, which are implemented for monitoring linear profiles (i.e., intercept, slope and average residual between sample and reference lines) by integrating them with run rules in order to quickly detect various magnitudes of shifts in profile parameters. The validation of the proposed control chart is accomplished by examining its performance using the average run length (ARL) criteria. The proposed EWMAR chart with run rules exhibits a much better performance in detecting small and decreasing shifts than the other competing charts. Finally, an example from multivariate manufacturing industry is employed to illustrate the superiority of the EWMAR chart with run rules.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3061990" target="_blank">https://dx.doi.org/10.1109/access.2021.3061990</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_b15430e98dd3c0435ec98cff9d6fb8f7 |
| identifier_str_mv | 10.1109/access.2021.3061990 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24049278 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile ParametersAli Yeganeh (16624998)Ali Reza Shadman (16896390)Ioannis S. Triantafyllou (16896393)Sandile Charles Shongwe (11986029)Saddam Akber Abbasi (7908302)EngineeringManufacturing engineeringMathematical sciencesStatisticsMonitoringControl chartsProcess controlCovariance matricesSensitivityQuality controllinear profilesphase IIprofile monitoringrun rules scheme<p>In usual quality control methods, the quality of a process or product is evaluated by monitoring one or more quality characteristics using their corresponding distributions. However, when the quality characteristic is defined through the relationship between one or more response and independent variables, the regime is referred to as profiles monitoring. In this article, we improve the performance of the Exponentially Weighted Moving Average Range (EWMAR) control charts, which are implemented for monitoring linear profiles (i.e., intercept, slope and average residual between sample and reference lines) by integrating them with run rules in order to quickly detect various magnitudes of shifts in profile parameters. The validation of the proposed control chart is accomplished by examining its performance using the average run length (ARL) criteria. The proposed EWMAR chart with run rules exhibits a much better performance in detecting small and decreasing shifts than the other competing charts. Finally, an example from multivariate manufacturing industry is employed to illustrate the superiority of the EWMAR chart with run rules.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3061990" target="_blank">https://dx.doi.org/10.1109/access.2021.3061990</a></p>2021-02-24T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2021.3061990https://figshare.com/articles/journal_contribution/Run_Rules-Based_EWMA_Charts_for_Efficient_Monitoring_of_Profile_Parameters/24049278CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240492782021-02-24T00:00:00Z |
| spellingShingle | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters Ali Yeganeh (16624998) Engineering Manufacturing engineering Mathematical sciences Statistics Monitoring Control charts Process control Covariance matrices Sensitivity Quality control linear profiles phase II profile monitoring run rules scheme |
| status_str | publishedVersion |
| title | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters |
| title_full | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters |
| title_fullStr | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters |
| title_full_unstemmed | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters |
| title_short | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters |
| title_sort | Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters |
| topic | Engineering Manufacturing engineering Mathematical sciences Statistics Monitoring Control charts Process control Covariance matrices Sensitivity Quality control linear profiles phase II profile monitoring run rules scheme |