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Developing a sampling plan by variables inspection for controlling lot fraction of defectives

机译:通过变量检查制定抽样计划,以控制不良品的批次比例

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Acceptance sampling has been widely used tool for determining whether the submitted lot should be accepted or rejected. However, it cannot avoid two kinds of risks, accepting undesired poor product lots and rejecting good product lots. Such risks are even more significant as the rapid advancement of the manufacturing technology and stringent customers demand is enforced. A yield index S_(pk) has been developed to provide an exact measure on process yield or fraction nonconforming for normally distributed processes with two-sided specification limits. Therefore, the aim of this paper is to develop a variables sampling plan for evaluating the lot or process fraction nonconforming based on the yield index. The probability of lot acceptance is derived based on the sampling distribution and two-point condition on OC curve is used to determine the plan parameters. Tables of the plan parameters and step-by-step procedure are provided for the practitioner to make decision on lot sentencing especially for situations of products with very low fraction of nonconformities.
机译:验收抽样已被广泛用于确定提交的批次是否应被接受的工具。但是,它不能避免两种风险,即接受不良的不良产品批次和拒收优质产品批次。随着制造技术的快速发展和严格的客户需求的实施,这些风险甚至变得更加重大。已经开发了屈服指数S_(pk),以提供针对具有两侧规格限制的正态分布过程的过程产率或不合格分数的精确度量。因此,本文的目的是制定一个基于产量指标的批次或不合格品评估变量采样计划。根据抽样分布得出批量验收的概率,并使用OC曲线上的两点条件确定计划参数。提供计划参数表和分步程序表,供从业人员就批量判决做出决策,尤其是对于不合格率极低的产品情况。

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