An optimized method of business process mining bused on the behavior profile of petri nets

Abstract

A good business process is the key role to enhance the operational efficiency and the service quality in Business Process Management (BPM). So the purpose of the study is to establish an algorithm to approve the business process. Especially, the analyzing method is presented based on behavior profiles of Petri net, while most of the existing methods are based on the analysis of the structural properties of Petri nets and ignoring the behavioral properties. First, the behavioral order relations are constructed and analyze their behavior profile to establish initial process model; then present the measurement methods of consistency analysis and other evaluation criteria to optimize the initial process model and last get the optimized model according to the algorithm. Finally, simulation analysis is conducted on the PROM5.2 platform and through comparing this method with another, the result show the advantages of the method.