Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Interactive Visual Analytics of Production Data - Predictive Manufacturing Linköping University Electronic Press Conference Proceedings
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Title:
Interactive Visual Analytics of Production Data - Predictive Manufacturing
Author:
Juhani Heilala: VTT Technical Research Centre of Finland Ltd, Espoo, Finland Paula Järvinen: VTT Technical Research Centre of Finland Ltd, Espoo, Finland Pekka Siltanen: VTT Technical Research Centre of Finland Ltd, Espoo, Finland Jari Montonen: VTT Technical Research Centre of Finland Ltd, Espoo, Finland Markku Hentula: VTT Technical Research Centre of Finland Ltd, Espoo, Finland Mikael Haag: VTT Technical Research Centre of Finland Ltd, Espoo, Finland
DOI:
10.3384/ecp17142181
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
026
Pages:
181-186
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Manufacturing creates a lot of data, and this is increasing due to digitalization of manufacturing, industrial Internet of Things (IIoT) and needs for product traceability as well as predictive maintenance. Typically data from production material flow is not analyzed and thus the improvement potential is not found. There is need for interactive analytics tools that can turn raw data from heterogeneous data sources e.g. starting from sensor data, manufacturing IT systems, (e.g. Enterprise Resource Planning, ERP, Manufacturing Execution System, MES and Supervisory Control And Data Acquisition, SCADA), into meaningful information and predictions—and presented on easy-to-use interfaces. This paper presents a feasibility study focusing on interactive visual analytics of manufacturing data set carried out at VTT Technical Research Centre of Finland Ltd.

Keywords: manufacturing industry; statistical analysis; machine learning; visual analytics; industrial internet of things

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Juhani Heilala, Paula Järvinen, Pekka Siltanen, Jari Montonen, Markku Hentula, Mikael Haag
Title:
Interactive Visual Analytics of Production Data - Predictive Manufacturing
DOI:
http://dx.doi.org/10.3384/ecp17142181
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Juhani Heilala, Paula Järvinen, Pekka Siltanen, Jari Montonen, Markku Hentula, Mikael Haag
Title:
Interactive Visual Analytics of Production Data - Predictive Manufacturing
DOI:
https://doi.org10.3384/ecp17142181
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Citations:
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