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Detail publikačního výsledku
POSPÍŠIL, M.; MATES, V.; HRUŠKA, T.
Originální název
Process Mining in Manufacturing Company
Anglický název
Druh
Stať ve sborníku mimo WoS a Scopus
Originální abstrakt
Simulation can be used for analysis, prediction, and optimization of business processes. Nevertheless, process models often differ from reality. Data mining techniques can be used for improving these models based on observations of process and resource behavior from detailed event logs. More accurate process models can be used not only for analysis and optimization, but for prediction and recommendation as well. This paper analyses process model in manufacturing company and its historical performance data. Based on that observation, simulation model is automatically created and used for analysis, prediction and for dynamic optimization.
Anglický abstrakt
Klíčová slova
business process simulation, business process intelligence, data mining; process mining, prediction, optimization, recomendation
Klíčová slova v angličtině
Autoři
Rok RIV
2014
Vydáno
01.01.2013
Nakladatel
International Academy, Research, and Industry Association
Místo
Nice
ISBN
978-1-61208-254-7
Kniha
The Fifth International Conference on Information, Process, and Knowledge Managemen
Strany od
143
Strany do
148
Strany počet
6
URL
https://www.fit.vut.cz/research/publication/10176/
BibTex
@inproceedings{BUT103429, author="Milan {Pospíšil} and Vojtěch {Mates} and Tomáš {Hruška}", title="Process Mining in Manufacturing Company", booktitle="The Fifth International Conference on Information, Process, and Knowledge Managemen", year="2013", pages="143--148", publisher="International Academy, Research, and Industry Association", address="Nice", isbn="978-1-61208-254-7", url="https://www.fit.vut.cz/research/publication/10176/" }
Dokumenty
eknow 2013 - Prediction