Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario

Mikel Nino; Fernando Saenz; Jose Miguel Blanco; Arantza Illarramendi

doi:10.1109/INDIN.2016.7819372

Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario

Mikel Nino
, Fernando Saenz
, Jose Miguel Blanco
, Arantza Illarramendi

Savvy Data Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

Big Data is one of the key enabling technologies in smart manufacturing, where manufacturing companies aim at leveraging the data generated throughout their processes. The potential of Big Data Analytics is particularly significant in the context of manufacturing companies distributed worldwide. These companies own several manufacturing plants operating the same process in different environments and conditions. This generates massive amounts of data that could be analyzed in order to improve process efficiency and product quality. This paper presents the requirements for an architecture to capture, integrate and analyze the large-scale volumes of data generated in a real-world manufacturing business scenario - a chemical manufacturing sector distributed worldwide-. This scenario serves as a case study for an applied research project on Big Data Analytics. The business nature of this scenario provides those real-life requirements the architecture has to deal with. Existing approaches can be extended to fulfill these requirements, in order to be effectively applied in similar manufacturing business contexts.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1326-1329
Number of pages	4
ISBN (Electronic)	9781509028702
DOIs	https://doi.org/10.1109/INDIN.2016.7819372
Publication status	Published - 2 Jul 2016
Externally published	Yes
Event	14th IEEE International Conference on Industrial Informatics, INDIN 2016 - Poitiers, France Duration: 19 Jul 2016 → 21 Jul 2016

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
Volume	0
ISSN (Print)	1935-4576

Conference

Conference	14th IEEE International Conference on Industrial Informatics, INDIN 2016
Country/Territory	France
City	Poitiers
Period	19/07/16 → 21/07/16

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Big Data Analytics
Cloud Computing
Decision-Guidance Systems
Industry 4.0
Predictive Analytics
Prescriptive Control
Smart Manufacturing

Access to Document

10.1109/INDIN.2016.7819372

Cite this

Nino, M., Saenz, F., Blanco, J. M., & Illarramendi, A. (2016). Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario. In Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016 (pp. 1326-1329). Article 7819372 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDIN.2016.7819372

Nino, Mikel ; Saenz, Fernando ; Blanco, Jose Miguel et al. / Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario. Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1326-1329 (IEEE International Conference on Industrial Informatics (INDIN)).

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abstract = "Big Data is one of the key enabling technologies in smart manufacturing, where manufacturing companies aim at leveraging the data generated throughout their processes. The potential of Big Data Analytics is particularly significant in the context of manufacturing companies distributed worldwide. These companies own several manufacturing plants operating the same process in different environments and conditions. This generates massive amounts of data that could be analyzed in order to improve process efficiency and product quality. This paper presents the requirements for an architecture to capture, integrate and analyze the large-scale volumes of data generated in a real-world manufacturing business scenario - a chemical manufacturing sector distributed worldwide-. This scenario serves as a case study for an applied research project on Big Data Analytics. The business nature of this scenario provides those real-life requirements the architecture has to deal with. Existing approaches can be extended to fulfill these requirements, in order to be effectively applied in similar manufacturing business contexts.",

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Nino, M, Saenz, F, Blanco, JM & Illarramendi, A 2016, Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario. in Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016., 7819372, IEEE International Conference on Industrial Informatics (INDIN), vol. 0, Institute of Electrical and Electronics Engineers Inc., pp. 1326-1329, 14th IEEE International Conference on Industrial Informatics, INDIN 2016, Poitiers, France, 19/07/16. https://doi.org/10.1109/INDIN.2016.7819372

Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario. / Nino, Mikel; Saenz, Fernando; Blanco, Jose Miguel et al.
Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1326-1329 7819372 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Big Data is one of the key enabling technologies in smart manufacturing, where manufacturing companies aim at leveraging the data generated throughout their processes. The potential of Big Data Analytics is particularly significant in the context of manufacturing companies distributed worldwide. These companies own several manufacturing plants operating the same process in different environments and conditions. This generates massive amounts of data that could be analyzed in order to improve process efficiency and product quality. This paper presents the requirements for an architecture to capture, integrate and analyze the large-scale volumes of data generated in a real-world manufacturing business scenario - a chemical manufacturing sector distributed worldwide-. This scenario serves as a case study for an applied research project on Big Data Analytics. The business nature of this scenario provides those real-life requirements the architecture has to deal with. Existing approaches can be extended to fulfill these requirements, in order to be effectively applied in similar manufacturing business contexts.

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Nino M, Saenz F, Blanco JM, Illarramendi A. Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario. In Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1326-1329. 7819372. (IEEE International Conference on Industrial Informatics (INDIN)). doi: 10.1109/INDIN.2016.7819372

Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario

Abstract

Publication series

Conference

UN SDGs

Keywords

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