Rule Extraction Required for Manufacturing Process Design

Abstract

We propose a method of extracting Main Sub process rules for process design of manufacturing company in 4th industry. In order to extract process design rules, we construct the model as an instance representation model, transform it into data that can utilize the instance data through the dimension reduction algorithm and clustering algorithm, and extract the process information based on the association rule mining algorithm. The process information extracted by the association rule mining algorithm can be used as the main process design rule through vectorization and the part that is difficult to extract can be set as the sub process design rule to design the integrated process rule.