Detail publikačního výsledku

Process Mining in a Manufacturing Company for Predictions and Planning

POSPÍŠIL, M.; MATES, V.; HRUŠKA, T.; BARTÍK, V.

Originální název

Process Mining in a Manufacturing Company for Predictions and Planning

Anglický název

Process Mining in a Manufacturing Company for Predictions and Planning

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

Simulationcan be used for analysis, prediction and optimization of businessprocesses. Nevertheless, process models often differ from reality.Data mining techniques can be used to improve these models based onobservations of a process and resource behavior from detailed eventlogs. More accurate process models can be used not only for analysisand optimization, but also for prediction and recommendation as well.This paper analyses process models in a manufacturing company and itshistorical performance data. Based on the observation, a simulationmodel can be created and used for analysis, prediction, planning andfor dynamic optimization. Focus of this paper is in different datamining problems that cannot be solved easily by well-known approacheslike Regression Tree.

Anglický abstrakt

Simulationcan be used for analysis, prediction and optimization of businessprocesses. Nevertheless, process models often differ from reality.Data mining techniques can be used to improve these models based onobservations of a process and resource behavior from detailed eventlogs. More accurate process models can be used not only for analysisand optimization, but also for prediction and recommendation as well.This paper analyses process models in a manufacturing company and itshistorical performance data. Based on the observation, a simulationmodel can be created and used for analysis, prediction, planning andfor dynamic optimization. Focus of this paper is in different datamining problems that cannot be solved easily by well-known approacheslike Regression Tree.

Klíčová slova

businessprocess simulation, business process intelligence, data mining,process mining, prediction, optimization, recommendation, associationrules, genetic algorithms.

Klíčová slova v angličtině

businessprocess simulation, business process intelligence, data mining,process mining, prediction, optimization, recommendation, associationrules, genetic algorithms.

Autoři

POSPÍŠIL, M.; MATES, V.; HRUŠKA, T.; BARTÍK, V.

Rok RIV

2014

Vydáno

31.12.2013

ISSN

1942-2628

Periodikum

International Journal on Advances in Software

Svazek

2013

Číslo

3

Stát

Spojené státy americké

Strany od

283

Strany do

297

Strany počet

16

URL

http://www.thinkmind.org/index.php?view=article&articleid=soft_v6_n34_2013_6

BibTex

@article{BUT106393,
  author="Milan {Pospíšil} and Vojtěch {Mates} and Tomáš {Hruška} and Vladimír {Bartík}",
  title="Process Mining in a Manufacturing Company for Predictions and Planning",
  journal="International Journal on Advances in Software",
  year="2013",
  volume="2013",
  number="3",
  pages="283--297",
  issn="1942-2628",
  url="http://www.thinkmind.org/index.php?view=article&articleid=soft_v6_n34_2013_6"
}