Millions of measuring instruments are verified each year before being placed on the markets worldwide. In the EU, such initial conformity assessments are regulated by the Measuring Instruments Directive (MID). The MID modules F and F1 on product verification allow for statistical acceptance sampling, whereby only random subsets of instruments need to be inspected. This paper re-interprets the acceptance sampling conditions formulated by the MID. The new interpretation is contrasted with the one advanced in WELMEC guide 8.10, and three advantages have become apparent. Firstly, an economic advantage of the new interpretation is a producers' risk bounded from above, such that measuring instruments with sufficient quality are accepted with a guaranteed probability of no less than 95 %. Secondly, a conceptual advantage is that the new MID interpretation fits into the well-known, formal framework of statistical hypothesis testing. Thirdly, the new interpretation applies unambiguously to finite-sized lots, even very small ones. We conclude that the new interpretation is to be preferred and suggest re-formulating the statistical sampling conditions in the MID. Re-interpreting the MID conditions implies that currently available sampling plans are either not admissible or not optimal. We derive a new acceptance sampling scheme and recommend its application.
翻译:在欧盟,关于产品核查的MID单元F和F1允许进行统计验收抽样,只有随机的仪器组群才需要检查。本文件重新解释MID所制定的验收抽样条件。新的解释与WELMEC指南8.10的先进解释形成鲜明对比,有三种好处。第一,新解释的经济优势是生产者受到上述约束的风险,因此接受质量足够的测量工具的保证概率不低于95%。第二,概念优势是新的MID解释符合众所周知的正式统计假设测试框架。第三,新的解释明确适用于有限大小的块块,甚至很小的块。我们的结论是,新的解释是可取的,并建议重新拟订MID的统计采样条件。重新解释意味着现有的采样计划不是可以接受的,就是不理想的。我们提出了新的接受采样计划,并建议采用新的接受办法。