Publication Details
Process Mining in Manufacturing Company
Mates Vojtěch, Ing. (DIFS FIT BUT)
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT)
business process simulation, business process
intelligence, data mining; process mining, prediction,
optimization, recomendation
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.
@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"
}