Abstract

This article evaluates the repeatability and reproducibility of a measurement system with crossed and nested factors. The number of measurements is reduced so that not all measurements are replicated as is usual in R&R experiments. D-optimal design is employed to allocate replicated treatments, and the effect of the reduction is investigated through computer simulation. The analysis is based on a random effects model and the variance components are estimated by the ANOVA method. Recommendations are provided for selecting the number of replicated treatments so that the impact on the precision of estimating the %GRR metric is sufficiently small.

中文翻译：

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D最优设计在扩展量规R＆R研究中的使用

摘要

本文评估了具有交叉和嵌套因素的测量系统的可重复性和可重复性。减少了测量次数，因此并非像R＆R实验中那样重复所有测量。D优化设计用于分配重复处理，并通过计算机模拟研究减少的效果。该分析基于随机效应模型，并且通过方差分析方法估算方差分量。提供了建议，以选择重复处理的次数，以使对％GRR指标的估算精度的影响足够小。