Publication detail

Process Mining in Manufacturing Company

POSPÍŠIL, M. MATES, V. HRUŠKA, T.

Original Title

Process Mining in Manufacturing Company

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

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

Authors

POSPÍŠIL, M.; MATES, V.; HRUŠKA, T.

RIV year

2013

Released

1. 1. 2013

Publisher

International Academy, Research, and Industry Association

Location

Nice

ISBN

978-1-61208-254-7

Book

The Fifth International Conference on Information, Process, and Knowledge Managemen

Pages from

143

Pages to

148

Pages count

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/"
}

Documents

eknow 2013 - Prediction.pdf