Fundamentals of Design of Experiments and Optimization: Designs for Factor Screening and Data Analysis in Pre-Response Surface Methodology

CHIAPPINI, FABRICIO A.; TEGLIA, CARLA M.; AZCARATE, SILVANA M.; GOICOECHEA, HÉCTOR C.

Introduction to Quality by Design in Pharmaceutical Manufacturing and Analytical Development

Springer

Año: 2023; p. 29 - 45

Chapter 2 presents an overview of the most important designsimplemented for factor screening, including data analysis in pre-response surfacemethodology (pre-RSM). This chapter mainly focuses on practical aspects considering a group of experimental factors at different levels at the same time, with aminimum number of experiments. Then it is discussed how to carry out studies inorder to build an empirical model that correlates the information about factors andresponses. Data analysis in pre-RSM is mostly represented by the well-knownstatistical method of multiway analysis of variance (ANOVA), whose basics arepresented, together with the analysis of the validity of the results. In addition, twographical strategies, the Pareto chart and the diagram of normal probability, arediscussed. An example is used to illustrate the concepts. Suitable references areprovided.