Optimization of experiments, such as those used in drug discovery is useful for saving scientific resources. As
bioavailability, practical mass production criteria of process and product reproducibility are foremost requirements of any
final product and to meet these requirements optimization of production process is a necessary step. The main goal of this
chapter is to provide different approaches of optimization and important features, strengths and limitations of optimization
techniques like factorial design, Taguchi design, response surface methodology, simplex lattice design that used for the
optimization of fast dissolving drug delivery systems. Factorial design is the design of choice for simultaneous determination
of the effect of several factors and their interactions while Taguchi method reduces the variation in a process through
robust design of experiments. Response surface methodology is a collection of statistical and mathematical techniques
useful for developing, improving and optimizing processes. Simplex lattice can be used to determine the relative proportion
of ingredients and optimizes a formulation with respect to specified variables.
Keywords: Factorial design, optimization, response surface methodology, simples design, taguchi design.
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