Application of Statistical Causal Analysis to Process Analysis

Abstract

In this paper, statistical causal analysis is applied to the model building of manufacturing process mechanism in process analysis. Originally, the cause-and-effect diagrams, the relation diagrams and so on have been widely used as QC tools to clarify process mechanism. Although they can represent process mechanism as a causal model, the conventional process analysis, in which the multiple regression model has been mainly used, has lacked the viewpoint of causality. The aim of this paper is to identify some of the problems of the conventional process analysis and to illustrate that the statistical causal analysis of using the path analysis and the graphical modelling is very useful in process analysis. In this paper two real examples in which causal analysis is successfully applied to process analysis are presented.KeywordsProcess AnalysisPath AnalysisMultiple Regression ModelPath CoefficientCausal ModelThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.