Publication Details

Process Mining in Manufacturing Company

POSPÍŠIL, M.; MATES, V.; HRUŠKA, T. Process Mining in Manufacturing Company. The Fifth International Conference on Information, Process, and Knowledge Managemen. Nice: International Academy, Research, and Industry Association, 2013. p. 143-148. ISBN: 978-1-61208-254-7.
Czech title
Dolování znalostí z procesu ve výrobním podniku
Type
conference paper
Language
English
Authors
Pospíšil Milan, Ing.
Mates Vojtěch, Ing., Ph.D.
Hruška Tomáš, prof. Ing., CSc. (DIFS)
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
ISBN
978-1-61208-254-7
Publisher
International Academy, Research, and Industry Association
Place
Nice
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/"
}
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