Applied Sciences (Oct 2023)

A Petri Net Approach for Business Process Modeling and Simulation

  • Samuel Medina-Garcia,
  • Joselito Medina-Marin,
  • Oscar Montaño-Arango,
  • Manuel Gonzalez-Hernandez,
  • Eva Selene Hernandez-Gress

DOI
https://doi.org/10.3390/app132011192
Journal volume & issue
Vol. 13, no. 20
p. 11192

Abstract

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A business process is a set of activities executed in a specific sequence involving various actors. This relationship between actors, activities, and sequence is crucial for achieving the goals and objectives of organizations. Business process modeling involves determining the actors, activities, and execution sequence necessary to accomplish the organization’s objectives, permitting analysis of the overall process in order to identify and rectify potential failures, improve operations, or eliminate activities that do not generate value. In this study, Petri nets have been selected as the modeling tool due to their ability to provide graphical and mathematical representations of business processes, which offers a significant advantage over other tools. The objective of this research is to develop a BP modeling algorithm using Petri nets. It aims to simulate the behavior of each activity within a case study in which the mathematical representation of Petri nets is utilized to measure process performance. Additionally, a software artifact is created to assess the algorithm’s functionality and compare the performance of two different business process that share the same goal.

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