Detail publikace

Process Mining in Manufacturing Company

POSPÍŠIL, M. MATES, V. HRUŠKA, T.

Originální název

Process Mining in Manufacturing Company

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

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.

Klíčová slova

business process simulation, business process
intelligence, data mining; process mining, prediction,
optimization, recomendation

Autoři

POSPÍŠIL, M.; MATES, V.; HRUŠKA, T.

Rok RIV

2013

Vydáno

1. 1. 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.pdf