Design of Experiment (DOE) provides a highly structured way to study the effects of multiple variables on product performance as well as efficient and effective methods for determining the most significant factors and interactions in a given design problem. Design of Experiments (DOE) is an off line quality improvement methodology that dramatically improves industrial products and processes. Input factors are varied in a planned manner to optimize output responses with minimal variability. Design of Experiments is a standard statistical technique used in quality engineering, pharmaceuticals, manufacturing, and other industries to identify key factors and levels that influence system performance and variability. This technique is especially useful when there is the need to understand the interactions and effects of several system variables and an absence of concrete information. In industry, designed experiments can be used to systematically investigate the process or product variables that influence product quality.

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