威布尔分布下具有经济视角的多重延迟状态抽样新方案的确定。

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY Journal of Applied Statistics Pub Date : 2023-01-01 DOI:10.1080/02664763.2022.2091526
Jeyadurga Periyasamypandian, Saminathan Balamurali
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引用次数: 1

摘要

为了保证产品的平均寿命符合威布尔分布,设计了一种新的多延迟状态抽样方案。通过考虑工作特性曲线上的两个指定点来确定表征所提出计划的参数。用实时数据和模拟数据分别说明了该方案在保证电器和锂离子电池平均寿命方面的实际应用。对寿命试验的试验时间进行了敏感性分析,并将理论平均样本数与仿真结果进行了比较。通过将该方案与现有的其他抽样方案进行判别能力、批量判决所需的单位数的比较,可以看出,与现有的其他抽样方案相比,新的多重延迟状态抽样方案以较低的检验成本为产品提供了质量保证。此外,本文还研究了一种新的多延迟状态抽样方案的经济设计,并将该方案所需的总成本与其他一些现有抽样方案的总成本进行了比较。
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Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution.

This study focuses on designing a new multiple deferred state sampling plan to ensure products' mean lifetime that complies with Weibull distribution. The parameters that characterize the proposed plan are determined by considering two specified points on the operating characteristic curve. Practical applications of the proposed plan for assuring mean lifetimes of electrical appliances as well as Lithium-ion batteries are explained by using real-time data and simulated data respectively. Sensitivity analysis on testing time of the life test is done and theoretical average sample number is compared with the same obtained by simulation. By comparing the proposed plan with other existing sampling plans based on discriminating power, the number of units required for lot sentencing, it is observed that the new multiple deferred state sampling plan provides quality assurance for the products with low inspection costs compared to the other existing sampling plans. Besides, this study investigates the economic design of a new multiple deferred state sampling plan and compares the total cost needed in the proposed plan with the same required for some other existing sampling plans.

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来源期刊
Journal of Applied Statistics
Journal of Applied Statistics 数学-统计学与概率论
CiteScore
3.40
自引率
0.00%
发文量
126
审稿时长
6 months
期刊介绍: Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.
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