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VARIABLES CHAIN SAMPLING PLAN BASED ON THE MINIMUM ANGLE METHOD INVOLVING MINIMUM SUM OF RISKS.

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Title: VARIABLES CHAIN SAMPLING PLAN BASED ON THE MINIMUM ANGLE METHOD INVOLVING MINIMUM SUM OF RISKS.
Authors: Suthersan, P.1 suthersan8@gmail.com, Balamurali, S.2 sbmurali@rediffmail.com
Source: Reliability: Theory & Applications. Dec2025, Vol. 20 Issue 4, p1104-1114. 11p.
Subjects: Acceptance sampling, Product quality, Sampling (Process), False positive error, Receiver operating characteristic curves, Adaptive sampling (Statistics), Design techniques
Abstract: This study presents a designing methodology for a variables based chain sampling plan utilizing the minimum angle criterion. In the context of acceptance sampling, managing both producer's risk and consumer's risk is essential for ensuring consistent product quality, particularly within industrial applications. These risks must be addressed concurrently when making quality related decisions. In this work, both risks are effectively reduced by minimizing the tangent angle formed between two points on the operating characteristic curve: the producer's quality level, associated with the probability of accepting a good lot, and the consumer's quality level, associated with the probability of accepting a bad lot. The variables chain sampling plan provides the underlying framework for this formulation. The proposed design procedures are detailed through step-by-step methodologies to demonstrate the implementation of the approach. [ABSTRACT FROM AUTHOR]
Copyright of Reliability: Theory & Applications is the property of International Group on Reliability and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: VARIABLES CHAIN SAMPLING PLAN BASED ON THE MINIMUM ANGLE METHOD INVOLVING MINIMUM SUM OF RISKS.
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  Data: <searchLink fieldCode="AR" term="%22Suthersan%2C+P%2E%22">Suthersan, P.</searchLink><relatesTo>1</relatesTo><i> suthersan8@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Balamurali%2C+S%2E%22">Balamurali, S.</searchLink><relatesTo>2</relatesTo><i> sbmurali@rediffmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Reliability%3A+Theory+%26+Applications%22">Reliability: Theory & Applications</searchLink>. Dec2025, Vol. 20 Issue 4, p1104-1114. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Acceptance+sampling%22">Acceptance sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Product+quality%22">Product quality</searchLink><br /><searchLink fieldCode="DE" term="%22Sampling+%28Process%29%22">Sampling (Process)</searchLink><br /><searchLink fieldCode="DE" term="%22False+positive+error%22">False positive error</searchLink><br /><searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+sampling+%28Statistics%29%22">Adaptive sampling (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Design+techniques%22">Design techniques</searchLink>
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  Label: Abstract
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  Data: This study presents a designing methodology for a variables based chain sampling plan utilizing the minimum angle criterion. In the context of acceptance sampling, managing both producer's risk and consumer's risk is essential for ensuring consistent product quality, particularly within industrial applications. These risks must be addressed concurrently when making quality related decisions. In this work, both risks are effectively reduced by minimizing the tangent angle formed between two points on the operating characteristic curve: the producer's quality level, associated with the probability of accepting a good lot, and the consumer's quality level, associated with the probability of accepting a bad lot. The variables chain sampling plan provides the underlying framework for this formulation. The proposed design procedures are detailed through step-by-step methodologies to demonstrate the implementation of the approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Reliability: Theory & Applications is the property of International Group on Reliability and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.24412/1932-2321-2025-489-1104-1114
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      – Code: eng
        Text: English
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      – SubjectFull: Acceptance sampling
        Type: general
      – SubjectFull: Product quality
        Type: general
      – SubjectFull: Sampling (Process)
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      – SubjectFull: False positive error
        Type: general
      – SubjectFull: Receiver operating characteristic curves
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      – SubjectFull: Adaptive sampling (Statistics)
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      – SubjectFull: Design techniques
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      – TitleFull: VARIABLES CHAIN SAMPLING PLAN BASED ON THE MINIMUM ANGLE METHOD INVOLVING MINIMUM SUM OF RISKS.
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              M: 12
              Text: Dec2025
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              Y: 2025
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