Flexible stage-based process performance mining for customer journey analysis

Abstract

Business process performance mining offers various analysis views of the performance of a process in a given period of time. However, the analysis of the engineering-to-order (ETO) production system is limited. Stage-based process performance mining has been around to monitor and analyze the process in the predefined stages level. In the ETO production system, it requires more flexibility to analyze the stages. Meanwhile, previous work assumed that the cases should follow the sequence of all predefined stages which is not the case in the ETO production system. This study extends the stage-based process performance analysis by relaxing the definition of the stages, that is referred as a relax-stage-based process performance mining. It emphasizes the flexibility to analyze the process through three different stages: mandatory, necessary, and optional. The concept has been tested in a log data of shipbuilding company. The proof-of-concept of relax-stage-based process performance mining is shown by displaying the time-domain and frequency-domain process performance analysis, including the constructed process model.