ALTERNATIVA PARA REALIZAR ANÁLISIS DE RENDIMIENTO DE PROCESOS AUTOMATIZADOS EMPLEANDO TÉCNICAS DE MINERÍA DE PROCESOS Y SIMULACIÓN SOBRE REDES DE PETRI

Abstract

Nowadays Process Mining and Simulation are recognized like innovative alternatives for business process analysis and improvement. Traditional techniques of process analysis need generally long processing times and are supported on analysts expertise, with the corresponding risk of human error; however, process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems through less expensive methods in time and resources. Whereas traditional simulation approaches rely on hand-made models, we advocate the use of process mining techniques for creating more reliable simulation models based on real event data. The present paper shows the results obtained with process mining and simulation on Petri Nets and ARENA in the same process, in order to compare the results obtained by each of them and determine if there are significant differences between them.