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The Design of Blocked Fractional Factorial Split-Plot Experiments

机译:封闭式分数阶因子分解图实验的设计

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摘要

In industrial screening experiments, if some factors are hard to vary and others are easy to vary, randomization restrictions may lead to the use of fractional factorial split-plot (FFSP) designs. Blocked FFSP (BFFSP) designs arise when all runs cannot be performed under homogeneous conditions. This article introduces three approaches for blocking FFSP designs. A catalog of designs is presented in which BFFSP designs are ranked according to the minimum aberration criterion. In addition, additional optimality criteria are used to assist in the ranking procedure. The case study that motivated this research is also discussed in detail.
机译:在工业筛选实验中,如果某些因素难以改变而另一些因素易于改变,则随机限制可能会导致使用分数阶因子分裂图(FFSP)设计。当无法在均质条件下执行所有运行时,就会出现阻塞FFSP(BFFSP)设计。本文介绍了三种阻止FFSP设计的方法。提出了一个设计目录,其中BFFSP设计根据最小像差标准进行排名。另外,附加的最佳化标准被用于协助排名程序。还详细讨论了激发这项研究的案例研究。

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