摘要

Plackett-Burman designs are among the most popular small, two-level experimental plans used in engineering and industrial applications, due primarily to their relatively small size and orthogonal structure. Two important practical limitations of these designs are (1) the lack of replicate points from which experimental error might be directly assessed, and (2) the potential for serious estimation bias if interactions among the experimental factors are present. We describe a strategy for augmenting these designs that adds replicate runs and reduces potential bias, while preserving first-order orthogonality.

  • 出版日期2016-12