A Framework for the Development of Design and Control Spaces

Abstract

We present a framework for the development of design and control spaces that simultaneously considers the raw material property space (Z), the critical to quality process variable space (X), and the critical quality attribute space (Y). The importance of jointly defining all of these spaces and simultaneously considering the eventual process feedforward–feedback control system is illustrated. It is shown that changes in any one of these spaces or in the control system will greatly affect the other spaces. Justification is provided for the use of multivariate principal component analysis and projection to latent structures methods to define more meaningful raw material design spaces and the use of statistical process control concepts to redefine control spaces.