Publication detail
Process Mining in Manufacturing Company
POSPÍŠIL, M. MATES, V. HRUŠKA, T.
Original Title
Process Mining in Manufacturing Company
English Title
Process Mining in Manufacturing Company
Type
conference paper
Language
en
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.
English 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
RIV year
2013
Released
01.01.2013
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
Edition
NEUVEDEN
Edition number
NEUVEDEN
Pages from
143
Pages to
148
Pages count
6
URL
Documents
BibTex
@inproceedings{BUT103429,
author="Milan {Pospíšil} and Vojtěch {Mates} and Tomáš {Hruška}",
title="Process Mining in Manufacturing Company",
annote="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.",
address="International Academy, Research, and Industry Association",
booktitle="The Fifth International Conference on Information, Process, and Knowledge Managemen",
chapter="103429",
edition="NEUVEDEN",
howpublished="online",
institution="International Academy, Research, and Industry Association",
year="2013",
month="january",
pages="143--148",
publisher="International Academy, Research, and Industry Association",
type="conference paper"
}