Effects of Model Accuracy on Residual Control Charts
Residual control charts are acknowledged to be effective tools for statistical process control of multistage processes. In these monitoring procedures, the models on the stage‐wise correlation should be first derived before the control charts are implemented. Therefore, the monitoring performance is...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhou, Min [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: Copyright © 2015 John Wiley & Sons, Ltd. |
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| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Quality and reliability engineering international - Chichester [u.a.] : Wiley, 1985, 32(2016), 5, Seite 1785-1794 |
|---|---|
| Übergeordnetes Werk: |
volume:32 ; year:2016 ; number:5 ; pages:1785-1794 |
| Links: |
|---|
| DOI / URN: |
10.1002/qre.1913 |
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OLC1979247501 |
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| 520 | |a Residual control charts are acknowledged to be effective tools for statistical process control of multistage processes. In these monitoring procedures, the models on the stage‐wise correlation should be first derived before the control charts are implemented. Therefore, the monitoring performance is inevitably affected by the model fitting scheme. Most of the previous works are under the assumption that the derived models represent the process behavior perfectly. Far less is known about the effects of the model inaccuracy on the monitoring performance. To investigate the effects of the underlying models on the monitoring performance, residual control charts based on two different modeling schemes are compared in this paper. The results indicate that the charting performance is correlated with the model fitting schemes. That is, a more accurate model will significantly increase the detection power and decrease the false alarm rate as well. Copyright © 2015 John Wiley & Sons, Ltd. | ||
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10.1002/qre.1913 doi PQ20160720 (DE-627)OLC1979247501 (DE-599)GBVOLC1979247501 (PRQ)p1193-5ba87fd202171378d392e1cca01f8b61365a39d92eeabd2ff278e2a886647853 (KEY)0136540120160000032000501785effectsofmodelaccuracyonresidualcontrolcharts DE-627 ger DE-627 rakwb eng 650 690 DNB 50.16 bkl 85.38 bkl Zhou, Min verfasserin aut Effects of Model Accuracy on Residual Control Charts 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Residual control charts are acknowledged to be effective tools for statistical process control of multistage processes. In these monitoring procedures, the models on the stage‐wise correlation should be first derived before the control charts are implemented. Therefore, the monitoring performance is inevitably affected by the model fitting scheme. Most of the previous works are under the assumption that the derived models represent the process behavior perfectly. Far less is known about the effects of the model inaccuracy on the monitoring performance. To investigate the effects of the underlying models on the monitoring performance, residual control charts based on two different modeling schemes are compared in this paper. The results indicate that the charting performance is correlated with the model fitting schemes. That is, a more accurate model will significantly increase the detection power and decrease the false alarm rate as well. Copyright © 2015 John Wiley & Sons, Ltd. Nutzungsrecht: Copyright © 2015 John Wiley & Sons, Ltd. average run length multivariate autogressive modeling residual control charts multistage process monitoring Goh, T.N oth Enthalten in Quality and reliability engineering international Chichester [u.a.] : Wiley, 1985 32(2016), 5, Seite 1785-1794 (DE-627)129167614 (DE-600)50641-2 (DE-576)028403312 0748-8017 nnns volume:32 year:2016 number:5 pages:1785-1794 http://dx.doi.org/10.1002/qre.1913 Volltext http://onlinelibrary.wiley.com/doi/10.1002/qre.1913/abstract http://search.proquest.com/docview/1803380603 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-WIW GBV_ILN_70 50.16 AVZ 85.38 AVZ AR 32 2016 5 1785-1794 |
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effects of model accuracy on residual control charts |
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Effects of Model Accuracy on Residual Control Charts |
| abstract |
Residual control charts are acknowledged to be effective tools for statistical process control of multistage processes. In these monitoring procedures, the models on the stage‐wise correlation should be first derived before the control charts are implemented. Therefore, the monitoring performance is inevitably affected by the model fitting scheme. Most of the previous works are under the assumption that the derived models represent the process behavior perfectly. Far less is known about the effects of the model inaccuracy on the monitoring performance. To investigate the effects of the underlying models on the monitoring performance, residual control charts based on two different modeling schemes are compared in this paper. The results indicate that the charting performance is correlated with the model fitting schemes. That is, a more accurate model will significantly increase the detection power and decrease the false alarm rate as well. Copyright © 2015 John Wiley & Sons, Ltd. |
| abstractGer |
Residual control charts are acknowledged to be effective tools for statistical process control of multistage processes. In these monitoring procedures, the models on the stage‐wise correlation should be first derived before the control charts are implemented. Therefore, the monitoring performance is inevitably affected by the model fitting scheme. Most of the previous works are under the assumption that the derived models represent the process behavior perfectly. Far less is known about the effects of the model inaccuracy on the monitoring performance. To investigate the effects of the underlying models on the monitoring performance, residual control charts based on two different modeling schemes are compared in this paper. The results indicate that the charting performance is correlated with the model fitting schemes. That is, a more accurate model will significantly increase the detection power and decrease the false alarm rate as well. Copyright © 2015 John Wiley & Sons, Ltd. |
| abstract_unstemmed |
Residual control charts are acknowledged to be effective tools for statistical process control of multistage processes. In these monitoring procedures, the models on the stage‐wise correlation should be first derived before the control charts are implemented. Therefore, the monitoring performance is inevitably affected by the model fitting scheme. Most of the previous works are under the assumption that the derived models represent the process behavior perfectly. Far less is known about the effects of the model inaccuracy on the monitoring performance. To investigate the effects of the underlying models on the monitoring performance, residual control charts based on two different modeling schemes are compared in this paper. The results indicate that the charting performance is correlated with the model fitting schemes. That is, a more accurate model will significantly increase the detection power and decrease the false alarm rate as well. Copyright © 2015 John Wiley & Sons, Ltd. |
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Effects of Model Accuracy on Residual Control Charts |
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http://dx.doi.org/10.1002/qre.1913 http://onlinelibrary.wiley.com/doi/10.1002/qre.1913/abstract http://search.proquest.com/docview/1803380603 |
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