Abstract

A REVIEW ON ANALYTICAL METHOD DEVELOPMENT USING DESIGN OF EXPERIMENT

Preeti Vinod Gaikwad*, Dr. Sanjay R. Chaudhari, Pooja Kesaram Sutar, Sejal Dattatraya Shinde, Ritu Popat Sawant and Subodh Dilip Tayade

ABSTRACT

Design of Experiments (DOE) is a structured and efficient statistical methodology employed to systematically plan, execute, analyze, and interpret controlled tests, aiming to understand the relationship between input factors and output responses. Originating from the pioneering work of Sir Ronald Fisher in the 1920s, DOE has grown into a vital tool across various sectors such as manufacturing, engineering, medicine, agriculture, and marketing. It facilitates optimization, quality improvement, and cost reduction by enabling identification of critical variables and their interactions. Common DOE types include full factorial designs, response surface methodology (RSM), Taguchi methods, and Plackett-Burman designs, each serving specific experimental needs. DOE plays a pivotal role in quality control and assurance by supporting defect reduction, processvalidation, and Six Sigma implementation. The use of statistical software tools simplifies DOE applications in various fields.

Keywords: Design of Experiments, Optimization, Quality Control, Statistical Analysis.