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Statements

Subject Item
n2:RIV%2F47813059%3A19520%2F13%3A%230002436%21RIV14-MSM-19520___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
The motivation of the paper is to introduce agent-based technology in the business process simulation. As in other cases, such simulation needs sufficient input data. However, in the case of business systems, real business data are not always available. Therefore, multi-agent systems often operate with randomly (resp. pseudo randomly) generated parameters. This method can also represent unpredictable phenomena. The core of the paper is to introduce the control loop model methodology in JADE business process simulation implementation. At the end of this paper the analysis of agent-based simulation outputs through process mining methods and methods for analysis of agents' behavior in order to verify the correctness of used methodology is presented. The business process simulation inputs are randomly generated using the normal distribution. The results obtained show that using random number generation function with normal distribution can lead to the correct output data and therefore can be used to simulate real business processes. The motivation of the paper is to introduce agent-based technology in the business process simulation. As in other cases, such simulation needs sufficient input data. However, in the case of business systems, real business data are not always available. Therefore, multi-agent systems often operate with randomly (resp. pseudo randomly) generated parameters. This method can also represent unpredictable phenomena. The core of the paper is to introduce the control loop model methodology in JADE business process simulation implementation. At the end of this paper the analysis of agent-based simulation outputs through process mining methods and methods for analysis of agents' behavior in order to verify the correctness of used methodology is presented. The business process simulation inputs are randomly generated using the normal distribution. The results obtained show that using random number generation function with normal distribution can lead to the correct output data and therefore can be used to simulate real business processes.
dcterms:title
Control Loop Model of Virtual Company in BPM Simulation Control Loop Model of Virtual Company in BPM Simulation
skos:prefLabel
Control Loop Model of Virtual Company in BPM Simulation Control Loop Model of Virtual Company in BPM Simulation
skos:notation
RIV/47813059:19520/13:#0002436!RIV14-MSM-19520___
n10:predkladatel
n19:orjk%3A19520
n3:aktivita
n15:I n15:S
n3:aktivity
I, S
n3:dodaniDat
n4:2014
n3:domaciTvurceVysledku
n8:6159958 n8:6108229 n8:2029480
n3:druhVysledku
n11:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
66957
n3:idVysledku
RIV/47813059:19520/13:#0002436
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Agent based simulation; Agent based technologies; Business Process; Business process simulation; Business systems; Control loop; Input datas; Multi agent system (MAS); Output data; Process mining; Real business data
n3:klicoveSlovo
n6:Agent%20based%20simulation n6:Agent%20based%20technologies n6:Control%20loop n6:Multi%20agent%20system%20%28MAS%29 n6:Input%20datas n6:Business%20Process n6:Output%20data n6:Business%20process%20simulation n6:Process%20mining n6:Business%20systems n6:Real%20business%20data
n3:kontrolniKodProRIV
[B8C7C3DBACC5]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Berlin Heidelberg, Germany
n3:nazevZdroje
Advances in Intelligent Systems and Computing 188 AISC
n3:obor
n14:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n4:2013
n3:tvurceVysledku
DRÁŽDILOVÁ, Pavla ŠPERKA, Roman SLANINOVÁ, Kateřina SPIŠÁK, Marek MARTINOVIČ, Jan
n3:typAkce
n20:WRD
n3:wos
000312974600053
n3:zahajeniAkce
2013-09-11+02:00
s:numberOfPages
9
n5:doi
10.1007/978-3-642-32922-7_53
n22:hasPublisher
Springer-Verlag
n17:isbn
978-3-642-32921-0
n16:organizacniJednotka
19520