DESIGNING OF A SINGLE SAMPLING PLAN FOR LIFETESTING UNDER THE WEIBULL RAYLEIGH DISTRIBUTION IN CNG MANUFACTURING.
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| Title: | DESIGNING OF A SINGLE SAMPLING PLAN FOR LIFETESTING UNDER THE WEIBULL RAYLEIGH DISTRIBUTION IN CNG MANUFACTURING. |
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| Authors: | JAYALAKSHMI, S.1 statjayalakshmi16@gmail.com, SIVASANTHIYA, R.2 sivasanthiya.statistics@buc.edu.in |
| Source: | Reliability: Theory & Applications. Mar2026, Vol. 21 Issue 1, p159-165. 7p. |
| Subjects: | Acceptance sampling, Compressed natural gas, Statistical reliability, Distribution (Probability theory), Sampling (Process), Quality control, Reliability in engineering |
| Abstract: | Compressed Natural Gas (CNG) products are widely employed in energy-related applications, including equipment and vehicles designed to operate on CNG as a fuel source. While modern technological integration reduces errors and production costs, achieving a completely defect-free product remains unattainable. Conducting 100 percentage inspection is time-consuming and costly, whereas no inspection exposes consumers to potential risks. To address this, Statistical Quality Control (SQC) is implemented to ensure consistent product quality in manufacturing environments. Within SQC, reliability-based sampling plans play a critical role, providing effective quality control while safeguarding both producers and consumers and optimizing resource utilization by reducing experimental cost and time. This study develops an Economic Reliability Single Sampling Plan (ERSSP) under the assumption that product lifetimes follow a WeibullRayleigh distribution. The proposed plan determines the termination time and Operating Characteristic value for a given producers risk. Furthermore, it establishes the required minimum sample sizes and acceptance numbers based on the plan parameters. A numerical illustration is provided within a CNG manufacturing context to demonstrate the practical application and effectiveness of the proposed plan. [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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192779625 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DESIGNING OF A SINGLE SAMPLING PLAN FOR LIFETESTING UNDER THE WEIBULL RAYLEIGH DISTRIBUTION IN CNG MANUFACTURING. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22JAYALAKSHMI%2C+S%2E%22">JAYALAKSHMI, S.</searchLink><relatesTo>1</relatesTo><i> statjayalakshmi16@gmail.com</i><br /><searchLink fieldCode="AR" term="%22SIVASANTHIYA%2C+R%2E%22">SIVASANTHIYA, R.</searchLink><relatesTo>2</relatesTo><i> sivasanthiya.statistics@buc.edu.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Reliability%3A+Theory+%26+Applications%22">Reliability: Theory & Applications</searchLink>. Mar2026, Vol. 21 Issue 1, p159-165. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Acceptance+sampling%22">Acceptance sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Compressed+natural+gas%22">Compressed natural gas</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Sampling+%28Process%29%22">Sampling (Process)</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+control%22">Quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Compressed Natural Gas (CNG) products are widely employed in energy-related applications, including equipment and vehicles designed to operate on CNG as a fuel source. While modern technological integration reduces errors and production costs, achieving a completely defect-free product remains unattainable. Conducting 100 percentage inspection is time-consuming and costly, whereas no inspection exposes consumers to potential risks. To address this, Statistical Quality Control (SQC) is implemented to ensure consistent product quality in manufacturing environments. Within SQC, reliability-based sampling plans play a critical role, providing effective quality control while safeguarding both producers and consumers and optimizing resource utilization by reducing experimental cost and time. This study develops an Economic Reliability Single Sampling Plan (ERSSP) under the assumption that product lifetimes follow a WeibullRayleigh distribution. The proposed plan determines the termination time and Operating Characteristic value for a given producers risk. Furthermore, it establishes the required minimum sample sizes and acceptance numbers based on the plan parameters. A numerical illustration is provided within a CNG manufacturing context to demonstrate the practical application and effectiveness of the proposed plan. [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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.24412/1932-2321-2026-190-159-165 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 159 Subjects: – SubjectFull: Acceptance sampling Type: general – SubjectFull: Compressed natural gas Type: general – SubjectFull: Statistical reliability Type: general – SubjectFull: Distribution (Probability theory) Type: general – SubjectFull: Sampling (Process) Type: general – SubjectFull: Quality control Type: general – SubjectFull: Reliability in engineering Type: general Titles: – TitleFull: DESIGNING OF A SINGLE SAMPLING PLAN FOR LIFETESTING UNDER THE WEIBULL RAYLEIGH DISTRIBUTION IN CNG MANUFACTURING. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: JAYALAKSHMI, S. – PersonEntity: Name: NameFull: SIVASANTHIYA, R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19322321 Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: Reliability: Theory & Applications Type: main |
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