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Control Metrics Evaluation Model for Business Processes using Process Mining

Authors:
Rodrigo Alfonso García Oliva
Jesús Javier Santos Barrenechea
Jimmy Alexander Armas Aguirre
Santiago Aguirre Mayorga

Keywords: Process Mining; Event Logs; Business Process Intelligence; Process Cubes.

Abstract:
Process mining is considered a discipline that contains a set of techniques, algorithms and methods for discovering, monitoring and optimizing business processes through event logs extracted from transactional systems. Based on this discipline, a model is proposed that allows the evaluation of the performance and behaviour of business processes through a set of control metrics. As a result of the model evaluation, six control metrics were analyzed in the logistic process of a peruvian retail enterprise using ProM Tools for the application of Process Mining techniques and Qlikview for the implementation of the Process Cube and results presentation.

Pages: 5 to 10

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-620-0

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018