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Construction of Single Sampling Plans by Attributes for Heterogeneous Lots Using a Mixture of Two Poisson Distributions

机译:使用两个Poisson分布的混合函数基于异质批次的属性构造单个采样计划

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摘要

In many manufacturing processes, production takes place in more than one stream, with the objective of increasing the production in order to meet the demands of the consumers for the products. The lots or batches of finished products that can be constructed by grouping the products manufactured from various streams are generally heterogeneous (non-homogeneous) in nature. In such a situation, the lot quality might vary as a result of the machines used, the skill of working personnel, and the raw materials, and existing sampling plans are not suitable or viable for carrying out inspection activity in sentencing such lots. When the inspection lots are non-homogeneous, a finite mixture distribution is an appropriate probability model for determining the quality variation of the product. In this paper, the design of single' sampling plans by attributes under a mixture of two Poisson distributions is considered under the assumption that the products are manufactured in two independent streams. Tables providing plan parameters protecting the interests of the producer and the consumer for specified strengths are presented. The risk efficiency of Poisson bi-mixture plans relative to Poisson sampling plans is studied. The selection of plan parameters is illustrated.
机译:在许多制造过程中,生产以不止一个流的形式进行,目的是增加产量以满足消费者对产品的需求。可以通过分组从各种流制造的产品来构造的最终产品批次或批次本质上通常是异质的(非均质的)。在这种情况下,批次质量可能因所使用的机器,工作人员的技能和原材料而异,并且现有的抽样计划不适合或不可行进行此类批次的检验活动。当检验批不均匀时,有限的混合物分布是确定产品质量变化的合适概率模型。在本文中,假设产品是在两个独立的流中制造的,则考虑了按两个Poisson分布混合的属性设计的单一抽样计划。列出了提供计划参数的表格,这些参数可以保护生产者和消费者在指定优势下的利益。研究了Poisson双混合计划相对于Poisson抽样计划的风险效率。说明了计划参数的选择。

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