Optimal design of a skip-lot sampling reinspection plan with a double sampling plan as a reference plan

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Sequential Analysis-Design Methods and Applications Pub Date : 2021-07-03 DOI:10.1080/07474946.2021.1940499
N. Murugeswari, P. Jeyadurga, S. Balamurali
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引用次数: 5

Abstract

Abstract Skip-lot sampling plans have the provision of inspecting only a fraction of lots, which reduces time and cost of the inspection. Thus, the skip-lot sampling plan is more cost-effective. The intention of this article is to propose the designing methodology to determine the optimal parameters of skip-lot sampling plan of type 2 with a double sampling plan as a reference plan for resubmitted lots by using two points on the operating characteristic curve. Tables summarize the optimal parameters determined under binomial and Poisson distributions for various combinations of producer quality level and consumer quality level by minimizing the average sample number and subject to satisfying both producer’s risk and consumer’s risk. The execution of the proposed plan is provided with an illustrative example. By comparison, it is proved that the proposed plan is an outstanding plan than the existing skip-lot and conventional sampling plans in terms of probability of acceptance, average sample number, and average total inspection.
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以双抽样方案为参考的跳批抽样复验方案的优化设计
摘要跳批抽样方案只对一小部分批次进行抽样,减少了抽检的时间和成本。因此,跳批抽样方案更具成本效益。本文的目的是提出利用工作特征曲线上的两点,以双采样方案作为重新提交批次的参考方案,确定第2类跳过批次抽样方案的最优参数的设计方法。表中总结了在二项分布和泊松分布下,在生产者质量水平和消费者质量水平的各种组合下,以最小化平均样本数,同时满足生产者风险和消费者风险为前提确定的最优参数。给出了所提计划的实施实例。通过比较,证明该方案在验收概率、平均样本数、平均总检验次数等方面都优于现有的跳批和常规抽样方案。
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来源期刊
CiteScore
1.40
自引率
12.50%
发文量
20
期刊介绍: The purpose of Sequential Analysis is to contribute to theoretical and applied aspects of sequential methodologies in all areas of statistical science. Published papers highlight the development of new and important sequential approaches. Interdisciplinary articles that emphasize the methodology of practical value to applied researchers and statistical consultants are highly encouraged. Papers that cover contemporary areas of applications including animal abundance, bioequivalence, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are deemed especially important. Of particular value are expository review articles that critically synthesize broad-based statistical issues. Papers on case-studies are also considered. All papers are refereed.
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