ABSTRACT
In the last two chapters, a state space model was used to describe variation and its propagation in a multistage manufacturing process. Product and process design information were assumed to be available, and the first principles were used to get the state space model coefficient matrices. The prerequisite for using the methodology is that it must be possible for the variation to be obtained from the design of the product and its process. However, if the variation model cannot be obtained offline from the product and process design, the methodology of the stream of variation (SoV) modeling will not be directly applicable. Apley and Shi [1]
have developed a methodology that models and analyzes the variation of a complex system with factor analysis based on product measurement data.
