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Application of statistics has broadened far beyond its origin to various areas of research and one among them is the design of experiments. Design of experiments gathers the maximum amount of information in the lowest number of analyses. In order to optimize a process and maintain repeatability, screening designs are performed. A two-level, mathematically derived multiples of four screening design, popularly known as Plackett-Burman screening design, is thoroughly reviewed in this paper. Application of this design in various areas of research such as formulation development and analytical development has also been focused to explore its potential in screening unbiased estimates of all main effects in the smallest design.
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Vanaja et al. (2007) studied this question.
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