Analysis and prediction cost of manufacturing process based on process mining

Abstract

Analysis and prediction of manufacturing cost play a decisive role in manufacturing process management; however, they face a challenge to be conducted due to the complexity of manufacturing process. Process mining has demonstrated to be a valuable tool for observing and diagnosing inefficiencies of a business process based on event logs. Nevertheless, significantly less attention has been done on investigating cost perspective. Therefore, this paper suggests a framework to analyze and predict manufacturing cost by utilizing and extending existing process mining techniques. In this study, new techniques such as process model-enhanced cost, and cost prediction based on production volume and time prediction using working progress of manufacturing processes are presented.