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.
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]
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Database:	Engineering Source

Description
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]
ISSN:	19322321
DOI:	10.24412/1932-2321-2026-190-159-165