Interactive Visual Analytics of Production Data: Predictive Manufacturing

Juhani Heilala; Paula Järvinen; Pekka Siltanen; Montonen Jari; Markku Hentula; Mikael Haag

doi:10.3384/ecp17142181

Interactive Visual Analytics of Production Data: Predictive Manufacturing

Juhani Heilala
, Paula Järvinen
, Pekka Siltanen
, Montonen Jari
, Markku Hentula
, Mikael Haag

VTT (former employee or external)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Publisher	Linköping University Electronic Press
Pages	181-186
Number of pages	6
ISBN (Print)	978-91-7685-399-3
DOIs	https://doi.org/10.3384/ecp17142181
Publication status	Published - 2018
MoE publication type	A4 Article in a conference publication
Event	9th Eurosim Congress on Modelling and Simulation: 57th SIMS conference on Simulation and Modelling (SIMS 2016) - Oulu, Finland Duration: 12 Sept 2016 → 16 Sept 2016

Publication series

Series	Linköping Electronic Conference Proceedings
ISSN	1650-3686

Conference

Conference	9th Eurosim Congress on Modelling and Simulation
Abbreviated title	EUROSIM 2016
Country/Territory	Finland
City	Oulu
Period	12/09/16 → 16/09/16
Other	The EUROSIM 2016 Congress provides a forum where modelling and simulation professionals from industry, society and science exchange knowledge, experiences and strengthen multidisciplinary network.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

Access to Document

10.3384/ecp17142181

Cite this

Heilala, J., Järvinen, P., Siltanen, P., Jari, M., Hentula, M., & Haag, M. (2018). Interactive Visual Analytics of Production Data: Predictive Manufacturing. In Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 (pp. 181-186). Linköping University Electronic Press. https://doi.org/10.3384/ecp17142181

Heilala, Juhani ; Järvinen, Paula ; Siltanen, Pekka et al. / Interactive Visual Analytics of Production Data : Predictive Manufacturing. Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. Linköping University Electronic Press, 2018. pp. 181-186 (Linköping Electronic Conference Proceedings).

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title = "Interactive Visual Analytics of Production Data: Predictive Manufacturing",

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.",

keywords = "manufacturing industry, statistical analysis, machine learning, visual analytics, industrial internet of things",

author = "Juhani Heilala and Paula J{\"a}rvinen and Pekka Siltanen and Montonen Jari and Markku Hentula and Mikael Haag",

note = "Project : 109807 ; 9th Eurosim Congress on Modelling and Simulation : 57th SIMS conference on Simulation and Modelling (SIMS 2016), EUROSIM 2016 ; Conference date: 12-09-2016 Through 16-09-2016",

year = "2018",

doi = "10.3384/ecp17142181",

language = "English",

isbn = "978-91-7685-399-3",

series = "Link{\"o}ping Electronic Conference Proceedings",

publisher = "Link{\"o}ping University Electronic Press",

pages = "181--186",

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

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Heilala, J, Järvinen, P, Siltanen, P, Jari, M, Hentula, M & Haag, M 2018, Interactive Visual Analytics of Production Data: Predictive Manufacturing. in Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. Linköping University Electronic Press, Linköping Electronic Conference Proceedings, pp. 181-186, 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland, 12/09/16. https://doi.org/10.3384/ecp17142181

Interactive Visual Analytics of Production Data: Predictive Manufacturing. / Heilala, Juhani; Järvinen, Paula; Siltanen, Pekka et al.
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. Linköping University Electronic Press, 2018. p. 181-186 (Linköping Electronic Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Interactive Visual Analytics of Production Data

T2 - 9th Eurosim Congress on Modelling and Simulation

AU - Heilala, Juhani

AU - Järvinen, Paula

AU - Siltanen, Pekka

AU - Jari, Montonen

AU - Hentula, Markku

AU - Haag, Mikael

N1 - Project : 109807

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - manufacturing industry

KW - statistical analysis

KW - machine learning

KW - visual analytics

KW - industrial internet of things

U2 - 10.3384/ecp17142181

DO - 10.3384/ecp17142181

M3 - Conference article in proceedings

SN - 978-91-7685-399-3

T3 - Linköping Electronic Conference Proceedings

SP - 181

EP - 186

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

PB - Linköping University Electronic Press

Y2 - 12 September 2016 through 16 September 2016

ER -

Heilala J, Järvinen P, Siltanen P, Jari M, Hentula M, Haag M. Interactive Visual Analytics of Production Data: Predictive Manufacturing. In Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. Linköping University Electronic Press. 2018. p. 181-186. (Linköping Electronic Conference Proceedings). doi: 10.3384/ecp17142181

Interactive Visual Analytics of Production Data: Predictive Manufacturing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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