application of design of experiment (doe) for optimization of multiple parameter resource constrain process: taguchi-based fractional factorial approach

Traditionally, for process optimization, a single factor is varied single time while keeping all others constant which is not only time and resource-consuming but also scientifically not valid. generally, the objective is to minimize costs and maximize performance, productivity, and efficiency. statistics-based solutions may provide better results by utilizing comparatively lesser resources, energy and labour. one such approach is the design of the experiment (doe). generally, the organic process includes more than one controlled or input parameter. therefore, taguchi’s orthogonal design of the experiment may provide a better insight into such a process. being orthogonal, it provides the impact of each controlling factor on the output characteristic. therefore, keeping in view, the importance of the fractional factorial doe, especially for resource-constrained projects, here in the present study a detailed step-by-step approach is discussed by taking an experimental study on the quaternization process of guar gum as a model case.