Conformance Checking for Manufacturing Processes using Control-flow Perspective and Time Perspective

Abstract

Recently, the amount of manufacturing data being collected has been increasing dramatically due to growing interests of convergence of manufacturing and IT. As such, it is possible to analyze the recorded manufacturing data for various purposes. One of the most important goals of manufacturing data analysis is to understand the current situation of manufacturing processes based on comparing actual and plan data. In order to execute such analysis, conformance checking, which is to check for deviations between models and logs, can be applied. However, existing conformance checking research mostly focuses on the control-flow perspective. Thus, it is hard to apply existing conformance checking methods in the manufacturing industry since other factors such as resources, machines, groups, deadlines, and processing time needs to be determined and considered as well. Therefore, this paper proposes a comprehensive conformance checking method using the control-flow perspective and time perspective and validates the proposed method by applying actual data extracted from a manufacturing company in Korea.