Modified Synthetic Control Chart for One-Step Markov-Dependent Processes
Quality measurement by the attributes method often does not result in independent random variables for the count of non conformities or non conforming units. A model based on Markovian dependence can be considered as a practical option in such situations. For a Markovian production process, Adnaik e...
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Gespeichert in:
| Autor*in: |
Bajirao, Adnaik Sachin [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: Copyright © Taylor & Francis Group, LLC 2015 |
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| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Communications in statistics / Theory and methods - London : Taylor and Francis, 1982, 44(2015), 5, Seite 942-952 |
|---|---|
| Übergeordnetes Werk: |
volume:44 ; year:2015 ; number:5 ; pages:942-952 |
| Links: |
|---|
| DOI / URN: |
10.1080/03610926.2012.749286 |
|---|
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OLC196878005X |
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10.1080/03610926.2012.749286 doi PQ20160617 (DE-627)OLC196878005X (DE-599)GBVOLC196878005X (PRQ)c2115-6c7b1289860f393e00a3810e859f58f7d9c948764f5c03a968388fdfa821ffba0 (KEY)0108848320150000044000500942modifiedsyntheticcontrolchartforonestepmarkovdepen DE-627 ger DE-627 rakwb eng 510 DNB 31.73 bkl Bajirao, Adnaik Sachin verfasserin aut Modified Synthetic Control Chart for One-Step Markov-Dependent Processes 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quality measurement by the attributes method often does not result in independent random variables for the count of non conformities or non conforming units. A model based on Markovian dependence can be considered as a practical option in such situations. For a Markovian production process, Adnaik et al. (in press) have proposed the "Single Attribute Control Charts" (SACCs) using two criteria. The first one is by controlling the error probabilities being (α*, β*) and the second, by using the ATS criterion. In this article, we propose a "Modified Synthetic Single Attribute Control Chart" for one-step Markovian Dependent process using ATS criterion (MSyn-SACC-MD). Zero state as well as the steady-state performance of the chart is studied. It is numerically illustrated that the proposed chart is more efficient than SACC-MD-A as proposed by Adnaik et al. (in press). Nutzungsrecht: Copyright © Taylor & Francis Group, LLC 2015 Conforming run length Average time to signal Steady state Serial correlation np chart Markovian dependence 62P30 Synthetic control chart Control charts Statistical process control Random variables Parasharam, Gadre Mukund oth Enthalten in Communications in statistics / Theory and methods London : Taylor and Francis, 1982 44(2015), 5, Seite 942-952 (DE-627)129862290 (DE-600)283673-7 (DE-576)015173747 0361-0926 nnns volume:44 year:2015 number:5 pages:942-952 http://dx.doi.org/10.1080/03610926.2012.749286 Volltext http://www.tandfonline.com/doi/abs/10.1080/03610926.2012.749286 http://search.proquest.com/docview/1664173589 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_100 31.73 AVZ AR 44 2015 5 942-952 |
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Modified Synthetic Control Chart for One-Step Markov-Dependent Processes |
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Modified Synthetic Control Chart for One-Step Markov-Dependent Processes |
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Bajirao, Adnaik Sachin |
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Communications in statistics / Theory and methods |
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modified synthetic control chart for one-step markov-dependent processes |
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Modified Synthetic Control Chart for One-Step Markov-Dependent Processes |
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Quality measurement by the attributes method often does not result in independent random variables for the count of non conformities or non conforming units. A model based on Markovian dependence can be considered as a practical option in such situations. For a Markovian production process, Adnaik et al. (in press) have proposed the "Single Attribute Control Charts" (SACCs) using two criteria. The first one is by controlling the error probabilities being (α*, β*) and the second, by using the ATS criterion. In this article, we propose a "Modified Synthetic Single Attribute Control Chart" for one-step Markovian Dependent process using ATS criterion (MSyn-SACC-MD). Zero state as well as the steady-state performance of the chart is studied. It is numerically illustrated that the proposed chart is more efficient than SACC-MD-A as proposed by Adnaik et al. (in press). |
| abstractGer |
Quality measurement by the attributes method often does not result in independent random variables for the count of non conformities or non conforming units. A model based on Markovian dependence can be considered as a practical option in such situations. For a Markovian production process, Adnaik et al. (in press) have proposed the "Single Attribute Control Charts" (SACCs) using two criteria. The first one is by controlling the error probabilities being (α*, β*) and the second, by using the ATS criterion. In this article, we propose a "Modified Synthetic Single Attribute Control Chart" for one-step Markovian Dependent process using ATS criterion (MSyn-SACC-MD). Zero state as well as the steady-state performance of the chart is studied. It is numerically illustrated that the proposed chart is more efficient than SACC-MD-A as proposed by Adnaik et al. (in press). |
| abstract_unstemmed |
Quality measurement by the attributes method often does not result in independent random variables for the count of non conformities or non conforming units. A model based on Markovian dependence can be considered as a practical option in such situations. For a Markovian production process, Adnaik et al. (in press) have proposed the "Single Attribute Control Charts" (SACCs) using two criteria. The first one is by controlling the error probabilities being (α*, β*) and the second, by using the ATS criterion. In this article, we propose a "Modified Synthetic Single Attribute Control Chart" for one-step Markovian Dependent process using ATS criterion (MSyn-SACC-MD). Zero state as well as the steady-state performance of the chart is studied. It is numerically illustrated that the proposed chart is more efficient than SACC-MD-A as proposed by Adnaik et al. (in press). |
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Modified Synthetic Control Chart for One-Step Markov-Dependent Processes |
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