Design of double acceptance sampling plan for Weibull distribution under indeterminacy

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-01-01 DOI:10.3934/math.2023672

A. H. Al-Marshadi, M. Aslam, Abdullah Alharbey

引用次数: 0

Abstract

This paper addresses neutrosophic statistics that will be used to design a double- acceptance sampling plan. We will design the sampling plans when the lifetime of the product follows the neutrosophic Weibull distribution. The plan parameters of the proposed double sampling plan will be determined using nonlinear optimization at various indeterminacy values and parameters. The productivity of the double sampling plan using neutrosophic statistics over the sampling plan under classical statistics will be given. The presentation of the proposed double sampling plan will be given with the help of industrial data.

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不确定情况下威布尔分布的双重验收抽样方案设计

本文讨论了将用于设计双重接受抽样计划的嗜中性统计。当产品寿命服从中性威布尔分布时，我们将设计抽样方案。所提出的双采样方案的方案参数将在各种不确定性值和参数下采用非线性优化确定。给出了在经典统计条件下，采用嗜中性统计的双抽样方案优于抽样方案的生产率。在工业数据的帮助下，将介绍所建议的双重抽样计划。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.