Detail publikace

Process Mining in Manufacturing Company

Originální název

Process Mining in Manufacturing Company

Anglický název

Process Mining in Manufacturing Company

Jazyk

en

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.

Anglický 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.

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"
}