An advanced acceptance reliability sampling plan for heterogeneous items subject to external shocks

IF 1.9 3区工程技术 Q3 MANAGEMENT

IMA Journal of Management Mathematics Pub Date : 2023-05-22 DOI:10.1093/imaman/dpad010

J. Cha, M. Finkelstein

引用次数: 0

Abstract

In practice, many engineering items have more than one failure mode, whereas most of the existing reliability acceptance sampling plans reported in the literature assume that they have only one basic failure mode. To fill the gap, in this paper, we propose a reliability sampling plan for items with an additional failure mode that is due to external shocks. Moreover, heterogeneous populations of items are considered when items’ lifetime distributions differ from subpopulation to subpopulation. A new two-stage reliability sampling plan that takes into account these factors is developed and lifetimes of items in a population before and after the acceptance test are stochastically compared. It is shown that the developed sampling plan improves the reliability characteristic of the population.

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外部冲击下异质项目的先进验收可靠性抽样计划

在实践中，许多工程项目有不止一种失效模式，而文献中报道的大多数现有可靠性验收抽样计划都假设它们只有一种基本失效模式。为了填补这一空白，在本文中，我们提出了一个可靠性抽样计划，用于具有由外部冲击引起的额外故障模式的项目。此外，当项目的寿命分布因子群体而异时，会考虑项目的异质性群体。考虑到这些因素，制定了一个新的两阶段可靠性抽样计划，并随机比较了验收测试前后总体中项目的寿命。结果表明，所制定的抽样方案改善了总体的可靠性特征。

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

IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.70

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.