Advantages of Application of Process Mining and Agent-Based Systems in Business Domain
Businesses and business decisions are getting driven by the information gained from the data more and more nowadays. The number of businesses supporting and managing their processes through the use of information systems and new technologies is growing every day. Even though, there is still a lot of rigidity in the implementation of new technologies. There is a great potential for the use of two of so far not so common disciplines in a business domain, which complement each other. That are process mining and multi-agent systems. Thus, in this paper, we are going to demonstrate the possible utilization of both process mining and multi-agent approaches in business domain. To demonstrate it, we use multi-agent simulator of trading company called MAREA. We analyzed implemented company model with the use of process mining. Process mining was used in two different ways. Firstly, to validate the workflow of the process model. Secondly, to analyze bottlenecks in company’s business processes and the impact of marketing campaigns on these business processes.
KeywordsProcess mining MAREA Multi-agent systems Business Model Business process
The work was supported by the SGS project of Silesian University in Opava, Czechia.
- 1.Kollár, I., Král, P., Laco, P. 2016. A few notes on deployment of supervised corporate financial distress prediction models in small enterprises. In: Conference Proceedings of 19th International Scientific Conference “Applications of Mathematics and Statistics in Economics”, pp. 204–213. Univerzita Mateja Bela: Banská Bystrica (2015)Google Scholar
- 3.Medeiros, A.K.A. de, Aalst, W.M.P. van der, Weijters, A.J.M.M.: Workflow mining: current status and future directions. In: On the Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE. LNCS, vol. 2888, pp. 389–406. Springer, New York (2003)Google Scholar
- 4.van der Aalst, W.M.P.: Extracting Event Data from Databases to Unleash Process Mining. In: Brocke, J. vom, Schmiedel, T. (eds.) BPM - Driving Innovation in a Digital World, Management for Professionals, pp. 105–128. Springer International Publishing (2015)Google Scholar
- 5.Runje, B., Krstić Vukelja, E., Stepanić, J.: Agent-based simulation of measuring the quality of services. Tech. Gaz. 22(6), 1561–1566 (2015)Google Scholar
- 6.Siebers, P., Aickelin, U., Celia, H., Clegg, C.: A multi-agent simulation of retail management practices. http://dx.doi.org/10.2139/ssrn.2831284. Accessed 14 May 2018
- 7.Terano, T.: Beyond the KISS principle for agent-based social simulation. J. Soc. Inf. 1(1), 175–187 (2008)Google Scholar
- 9.North, M.J., Macal, C.M., Aubin, J.S., Thimmapuram, P., Bragen, M., Hahn, J., Karr, J., Brigham, N., Lacy, M.E., Hampton, D.: Multiscale agent-based consumer market modeling. Complexity 15(5), 37–47 (2010)Google Scholar
- 14.Vymětal, D., Ježek, F.: Demand function and its role in a business simulator. Munich Personal RePEc Archive, 54716 (2014)Google Scholar