Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/46853

TitleA Big Data system supporting Bosch Braga Industry 4.0 strategy
Author(s)Santos, Maribel Yasmina
Oliveira e Sá, Jorge
Andrade, Carina
Vale Lima, Francisca
Costa, Eduarda
Costa, Carlos
Martinho, Bruno
Galvão, João
KeywordsBig Data
Big Data Analytics
Big Data Architecture
Industry 4.0
Bosch
Issue date2017
PublisherElsevier Ltd.
JournalInternational Journal of Information Management
CitationSantos, Maribel Yasmina, Jorge Oliveira e Sá, Carina Andrade, Francisca Vale Lima, Eduarda Costa, Carlos Costa, Bruno Martinho, João Galvão, “A Big Data System supporting Bosch Braga Industry 4.0 Strategy”, International Journal of Information Management, http://dx.doi.org/10.1016/j.ijinfomgt.2017.07.012
Abstract(s)People, devices, infrastructures and sensors can constantly communicate exchanging data and generating new data that trace many of these exchanges. This leads to vast volumes of data collected at ever increasing velocities and of different variety, a phenomenon currently known as Big Data. In particular, recent developments in Information and Communications Technologies are pushing the fourth industrial revolution, Industry 4.0, being data generated by several sources like machine controllers, sensors, manufacturing systems, among others. Joining volume, variety and velocity of data, with Industry 4.0, makes the opportunity to enhance sustainable innovation in the Factories of the Future. In this, the collection, integration, storage, processing and analysis of data is a key challenge, being Big Data systems needed to link all the entities and data needs of the factory. Thereby, this paper addresses this key challenge, proposing and implementing a Big Data Analytics architecture, using a multinational organisation (Bosch Car Multimedia – Braga) as a case study. In this work, all the data lifecycle, from collection to analysis, is handled, taking into consideration the different data processing speeds that can exist in the real environment of a factory (batch or stream).
TypeArticle
URIhttp://hdl.handle.net/1822/46853
DOI10.1016/j.ijinfomgt.2017.07.012
ISSN0268-4012
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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