Interactive Visual Analytics of Production Data

Predictive Manufacturing

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

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.
Original languageEnglish
Title of host publication9th EUROSIM Congress on Modelling and Simulation
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages166-171
ISBN (Print)978-1-5090-4119-0
Publication statusAccepted/In press - 2016
MoE publication typeA4 Article in a conference publication
Event9th Eurosim Congress on Modelling and Simulation: 57th SIMS conference on Simulation and Modelling (SIMS 2016) - Oulu, Finland
Duration: 12 Sep 201616 Sep 2016

Conference

Conference9th Eurosim Congress on Modelling and Simulation
Abbreviated titleEUROSIM 2016
CountryFinland
CityOulu
Period12/09/1616/09/16
OtherThe EUROSIM 2016 Congress provides a forum where modelling and simulation professionals from industry, society and science exchange knowledge, experiences and strengthen multidisciplinary network.

Fingerprint

Enterprise resource planning
Data acquisition
Sensors
Internet of things

Keywords

  • manufacturing industry
  • statistical analysis
  • machine learning
  • visual analytics
  • industrial internet of things

Cite this

Heilala, J., Järvinen, P., Siltanen, P., Jari, M., Hentula, M., & Haag, M. (Accepted/In press). Interactive Visual Analytics of Production Data: Predictive Manufacturing. In 9th EUROSIM Congress on Modelling and Simulation (pp. 166-171). Institute of Electrical and Electronic Engineers IEEE.
Heilala, Juhani ; Järvinen, Paula ; Siltanen, Pekka ; Jari, Montonen ; Hentula, Markku ; Haag, Mikael. / Interactive Visual Analytics of Production Data : Predictive Manufacturing. 9th EUROSIM Congress on Modelling and Simulation. Institute of Electrical and Electronic Engineers IEEE, 2016. pp. 166-171
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abstract = "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.",
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Heilala, J, Järvinen, P, Siltanen, P, Jari, M, Hentula, M & Haag, M 2016, Interactive Visual Analytics of Production Data: Predictive Manufacturing. in 9th EUROSIM Congress on Modelling and Simulation. Institute of Electrical and Electronic Engineers IEEE, pp. 166-171, 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland, 12/09/16.

Interactive Visual Analytics of Production Data : Predictive Manufacturing. / Heilala, Juhani; Järvinen, Paula; Siltanen, Pekka; Jari, Montonen; Hentula, Markku; Haag, Mikael.

9th EUROSIM Congress on Modelling and Simulation. Institute of Electrical and Electronic Engineers IEEE, 2016. p. 166-171.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Haag, Mikael

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Heilala J, Järvinen P, Siltanen P, Jari M, Hentula M, Haag M. Interactive Visual Analytics of Production Data: Predictive Manufacturing. In 9th EUROSIM Congress on Modelling and Simulation. Institute of Electrical and Electronic Engineers IEEE. 2016. p. 166-171