BETTER CONFORMANCE CHECKING FROM PROCESS MODEL GENERATED BY PROCESS TREE

Abstract

Process mining field is massively used nowadays by medium and large size enterprises, in order to have a better understanding of the processes that occurs and it helps them in the decision-making aspect by presenting the workflow of the organization as a whole and evidencing bottlenecks and unknown procedures that before were unknown or irrelevant. This study aims to check conformance and to analyze bottleneck of these processes by means of process mining techniques. To check conformance and to do bottleneck analyzes, an Enterprise resource planning system (ERP) was taken into consideration. A custom technique of data gathering (system event logs) was used for this information system (IS), based on an aspect oriented programming (AOP) technique. Also there was the need for robotic process automation (RPA) technique application, due to COVID-19 pandemic, which made data gathering difficult due to the enterprise lockdown. The result showed a better conformance checking after usage of the inductive miner algorithm and Petri net representation of the process model. The result showed a better conformance checking by means of fitness and precision. As for bottleneck analyze, the only conclusion was due to operator delay during processes.