Process Mining in Manufacturing Company
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106289" target="_blank" >RIV/00216305:26230/13:PU106289 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10176" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10176</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Process Mining in Manufacturing Company
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Fifth International Conference on Information, Process, and Knowledge Managemen
ISBN
978-1-61208-254-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
143-148
Publisher name
International Academy, Research, and Industry Association
Place of publication
Nice
Event location
Nice, France
Event date
Feb 24, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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