D 2018

Advantages of Application of Process Mining and Agent-Based Systems in Business Domain

HALAŠKA, Michal a Roman ŠPERKA

Základní údaje

Originální název

Advantages of Application of Process Mining and Agent-Based Systems in Business Domain

Autoři

HALAŠKA, Michal (203 Česká republika, domácí) a Roman ŠPERKA (703 Slovensko, domácí)

Vydání

Heidelberg, Smart Innovation, Systems and Technologies, od s. 177-186, 10 s. 2018

Nakladatel

Springer Nature

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

Kód RIV

RIV/47813059:19520/18:00011031

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

ISBN

978-331992030-6

Klíčová slova anglicky

process mining; MAREA; multi-agent systems; business; model; business process
Změněno: 21. 11. 2019 15:04, RNDr. Daniel Jakubík

Anotace

V originále

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 demon-strate 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 pro-cesses and the impact of marketing campaigns on these business processes.