The recent scenario of accomplishment with faultlessness indulges a bent towards the techniques that develop the final formulations with the precise use of experimental designs. Also, the application of computer-aided optimization techniques has proved to be favorable in the development of drug delivery systems with reliable results. The optimization techniques have a comprehensive range of designs in total, Design of experiments (DoE) being one, enables a formulator to find a suitable blueprint to formulate a best-optimized formulation. The technology focuses on preparing the drug delivery system with the least expenditure, minimal efforts, and less cost. Using DoE techniques may lead to a perfect combination of a drug product with equivalent excipients. This systematic approach is exclusively constructed for developing optimized pharmaceutical formulations, and processes through phases like screening of factors, different experimental designs along with response surface analysis. The realization of computer-aided optimization techniques has empowered the research within academics and at the industry, level to burgeon the pharmaceutical products of various kinds. The key elements of a DoE optimization methodology encompass planning the study objectives, screening of influential variables, experimental designs, the postulation of mathematical models for various chosen response characteristics, fitting experimental data into these model(s), mapping and generating graphic outcomes, and design validation using model-based response surface methodology. This review endeavors to impart awareness on manifold concepts of DoE and its terminology.
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