Optimal designs for industrial and computer experimentation

这项研究致力于获得用于工业和计算机实验的最优设计。工业筛选实验经常被用来确定哪些因素在研究中的产品或过程的质量中起着统计上显著的作用。通常情况下，一些实验因素的水平比其他因素更难或更昂贵。在这样的背景下，“分裂情节设计”经常出现。这项研究考虑了只有几个游程(例如，12、16、20、24等)的分割小区设计的最佳选择。这种设计为从业者提供了比目前文献中编目的大多数分割小区设计更灵活的游程大小，因此应该会为工业实验者节省成本。

This research is concerned with obtaining optimal designs for use in industrial and computer experimentation. Industrial screening experiments are frequently used to ascertain which factors play a statistically significant role in the quality of a product or process under study. It is often the case that the levels of some of the experimental factors are more difficult, or expensive, to vary than the rest. In such settings "split-plot designs" often arise. This research considers the optimal choice of split-plot designs consisting of only a few runs (for example, 12, 16, 20, 24, etc). Such designs offer practitioners more flexible run sizes than most split-plot designs presently cataloged in the literature and as such should result in cost-savings for industrial experimenters.