Abstract
Process mining is a field that uses elements from data mining and business process modeling to perform tasks such as process discovery, conformance checking, and process enhancement. This article presents a study about the application of process mining techniques in simulation and the integration between the two disciplines. Specifically, it shows a series of developments in the field that illustrate the possible applications. Also, the current main challenges of integrating process mining and simulation are exposed, one of the main issues being the lack of compatibility between tools for process mining and simulation. The objective of this article is to show the importance and practical utility of applying process mining approaches in simulation. The literature review shows that while there have been developments towards an integrated framework for process mining and simulation, the development of a standard unified methodology is still an open problem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Van Der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer Science & Business Media, Heidelberg (2011)
Van Der Aalst, W., Adriansyah, A., de Medeiros, A.K.A., Arcieri, F., Baier, T., Blickle, T., Bose, J.C., van den Brand, P., Brandtjen, R., Buijs, J., et al.: Process mining manifesto. In: Business Process Management Workshops, pp. 169–194. Springer (2011)
Tumay, K.: Business process simulation. In: Proceedings of the 28th Conference on Winter Simulation, pp. 93–98. IEEE Computer Society (1996)
Nakatumba, J., Rozinat, A., Russell, N.: Business process simulation: how to get it right. In: International Handbook on Business Process Management. Citeseer (2009)
Martin, N., Depaire, B., Caris, A.: The use of process mining in a businesss process simulation context: overview and challenges. In: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp. 381–388. IEEE (2014)
Poncin, W., Serebrenik, A., Van Den Brand, M.: Process mining software repositories. In: 2011 15th European Conference on Software Maintenance and Reengineering (CSMR), pp. 5–14. IEEE (2011)
Van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H., Weijters, A., Van Der Aalst, W.M.: The ProM framework: a new era in process mining tool support. In: ICATPN, vol. 3536, pp. 444–454. Springer (2005)
Rozinat, A., Mans, R.S., Song, M., van der Aalst, W.M.: Discovering simulation models. Inf. Syst. 34(3), 305–327 (2009)
Liu, S.: Integrating Process Mining with Discrete-Event Simulation Modeling. Brigham Young University, Provo (2015)
Senderovich, A.: Service analysis and simulation in process mining. In: International Conference on Business Process Management, pp. 578–581. Springer (2014)
Szimanski, F., Ralha, C.G., Wagner, G., Ferreira, D.R.: Improving business process models with agent-based simulation and process mining. In: Enterprise, Business-Process and Information Systems Modeling, pp. 124–138. Springer (2013)
Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. 99(suppl 3), 7280–7287 (2002)
Baqueiro, O., Wang, Y.J., McBurney, P., Coenen, F.: Integrating data mining and agent based modeling and simulation. In: Industrial Conference on Data Mining, pp. 220–231. Springer (2009)
Wagner, G.: AOR modelling and simulation: towards a general architecture for agent-based discrete event simulation. In: Agent-Oriented Information Systems, pp. 174–188. Springer (2004)
Aguirre, S., Parra, C., Alvarado, J.: Combination of process mining and simulation techniques for business process redesign: a methodological approach. In: Data-Driven Process Discovery and Analysis, pp. 24–43. Springer (2012)
Măruşter, L., van Beest, N.R.: Redesigning business processes: a methodology based on simulation and process mining techniques. Knowl. Inf. Syst. 21(3), 267 (2009)
Wynn, M., Rozinat, A., van der Aalst, W., ter Hofstede, A., Fidge, C.: Process mining and simulation. In: Modern Business Process Automation, pp. 437–457. Springer (2010)
Aguilar, M., Pater, A.J.G.: Business process simulation: a fundamental step supporting process centered management. In: Farrington, P., Nembhard, H., Sturrock, D., Evans, G. (eds.) Proceedings of the 1999 Winter Simulation Conference (WSC 1999), Phoenix, AZ, USA, December 1999, pp. 1383–1392. ACM (1999)
Bose, R., Mans, R.S., van der Aalst, W.M.: Wanna improve process mining results? In: 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp. 127–134. IEEE (2013)
Burattin, A.: Obstacles to applying process mining in practice. In: Process Mining Techniques in Business Environments, pp. 59–63. Springer (2015)
Rozinat, A., Wynn, M.T., van der Aalst, W.M., ter Hofstede, A.H., Fidge, C.J.: Workflow simulation for operational decision support. Data Knowl. Eng. 68(9), 834–850 (2009)
Gonçalves, J., Faria, B.M., Reis, L.P., Carvalho, V., Rocha, Á.: Data mining and electronic devices applied to quality of life related to health data. In: 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–4. IEEE (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Keith Norambuena, B. (2018). Integration of Process Mining and Simulation: A Survey of Applications and Current Research. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-77703-0_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77702-3
Online ISBN: 978-3-319-77703-0
eBook Packages: EngineeringEngineering (R0)