Design of experiments for multi‐stage processes

摘要: Many industrial processes involve large numbers of input variables so that the complete factorial design would require prohibitively many experimental runs. This is particularly case with multi-stage processes. We offer a view processes, in terms autoregressive models, wich can help sensible reduction size experiments and also allow different stages process to be investigated separately.