Abstract
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.
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Notes
- 1.
Figure 2 shows only part of the sales process with bottlenecks. However, “Sales quote acceptance” activity is followed by the series of sequential activities {“Material request”, “Productio request”, “Sales order”, “Bonus payment”, “Production ready”, “Stock level”}.
- 2.
The w in the scenario name means without marketing campaign, m means with marketing campaign, 1 s means one sales representative and 2 s means two representatives, and 100c means 100 customers and 500c means 500 customers in particular scenario.
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Acknowledgement
The work was supported by the SGS project of Silesian University in Opava, Czechia.
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Halaška, M., Šperka, R. (2019). Advantages of Application of Process Mining and Agent-Based Systems in Business Domain. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_17
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