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Research Article | Open Access

Reliability assessment through group acceptance sampling under the Darna distribution

Amer Ibrahim Al-Omari1Ehab M. Almetwally2Harsh Tripathi3Ahmad A. Hanandeh4( )
Department of Mathematics, Faculty of Science, Al Al-Bayt University, Mafraq 25113, Jordan
Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia
Symbiosis Statistical Institute, Symbiosis International (Deemed University), Pune, India
Department of Mathematics, Faculty of Science, Islamic University of Madinah, Madinah 42351, Saudi Arabia
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Abstract

In this study, a group acceptance sampling plan was proposed when the lifetime of an item follows the Darna distribution (DD). The mean served as a quality parameter to determine the design parameters, including the acceptance number and minimum group size, under a specified test termination time and consumer risk. The operating characteristic values were presented graphically and in tabular form. The minimum group size and operating characteristic values were obtained for various values of the distribution parameters, and the results were illustrated with an example. To illustrate the applicability of the proposed plan, two real-life data sets of failure times in minutes and weeks were analyzed as practical examples. It is preferable to choose higher t / μ 0 ( μ 0 is a given mean value) values to minimize the required number of groups and, hence, reduce the overall cost and inspection effort. In addition, choosing suitable values of r ( r is the size of the group) and t / μ 0 ensures a balance between the inspection effort and the risk of the producer.

CLC number: 62D05, 62N05, 62P30

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AIMS Mathematics
Pages 19033-19057

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Cite this article:
Al-Omari AI, Almetwally EM, Tripathi H, et al. Reliability assessment through group acceptance sampling under the Darna distribution. AIMS Mathematics, 2025, 10(8): 19033-19057. https://doi.org/10.3934/math.2025851

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Received: 19 July 2025
Revised: 07 August 2025
Accepted: 11 August 2025
Published: 15 August 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)