Abstract

With the ever-increasing techniques of research, the traditional experimental design is not sufficient as well as satisfying to contribute enough to the experiment's robustness. Formulation development by utilising factorial design is a smarter way of experimentation which act as a crucial tool for optimization. Factorial design is more efficient for the type of experiments having effect of two or more factors. Factorial design is more adaptable and provides more significant information about the process and product, as well as a variety of software. This manuscript provides the reader with a thorough understanding of factorial experimental design, its theoretical foundation, and how to utilise the statistical tool in realworld research. Keywords: factorial design, optimization, research

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