Faculty of Information Technology, BUT

Publication Details

Process Mining in Manufacturing Company

POSPÍŠIL Milan, MATES Vojtěch and HRUŠKA Tomáš. Process Mining in Manufacturing Company. In: The Fifth International Conference on Information, Process, and Knowledge Managemen. Nice: International Academy, Research, and Industry Association, 2013, pp. 143-148. ISBN 978-1-61208-254-7.
Czech title
Dolování znalostí z procesu ve výrobním podniku
Type
conference paper
Language
english
Authors
Keywords
business process simulation, business process
intelligence, data mining; process mining, prediction,
optimization, recomendation
Abstract
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.
Published
2013
Pages
143-148
Proceedings
The Fifth International Conference on Information, Process, and Knowledge Managemen
Conference
The Fifth International Conference on Information, Process, and Knowledge Management, Nice, France, FR
ISBN
978-1-61208-254-7
Publisher
International Academy, Research, and Industry Association
Place
Nice, FR
BibTeX
@INPROCEEDINGS{FITPUB10176,
   author = "Milan Posp\'{i}\v{s}il and Vojt\v{e}ch Mates and Tom\'{a}\v{s} Hru\v{s}ka",
   title = "Process Mining in Manufacturing Company",
   pages = "143--148",
   booktitle = "The Fifth International Conference on Information, Process, and Knowledge Managemen",
   year = 2013,
   location = "Nice, FR",
   publisher = "International Academy, Research, and Industry Association",
   ISBN = "978-1-61208-254-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10176"
}
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