A Big Data system supporting Bosch Braga Industry 4.0 strategy |
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| Institution: | 1. Gerald D. Hines College of Architecture and Design, University of Houston, 4200 Elgin St., Houston, TX 77204-4000, USA;2. I3B, Universitat Politècnica de València, Camino de Vera s/n, 46010 Valencia, Spain;3. Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain;1. LIM Laboratory, University of Laghouat, Algeria;2. ERIC Laboratory, University of Lyon 2, France;3. JC College, University of Florida, USA;1. University of North Carolina at Chapel Hill, 200 Manning Hall, Chapel Hill, NC 27599-3360, USA;2. Syracuse University, Hinds Hall 348, Syracuse, NY 13244-4100, USA;3. Kateryna Bondar International University of La Rioja Avenida de la Paz, 137, 26006, Logroño, Spain;4. Formerly of the Center for Technology and Innovation Management, CeTIM@ UniBw München, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany;1. Yeungnam University, Gyeongsan, South Korea;2. University of North Texas, Denton, TX, USA;1. Knowledge Management and Engineering Research Group, Universidade Atlântica, Fábrica da Pólvora de Barcarena, 2730-036 Barcarena, Portugal;2. Departamento de Engenharia Informática, Universidade de Coimbra, Pólo II - Pinhal de Marrocos, 3030-290 Coimbra, Portugal;3. Department of Science and Information Technology, Instituto Universitário de Lisboa (ISCTE-IUL), Lisboa, Portugal |
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| Abstract: | 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). |
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| Keywords: | Big Data Industry 4 0 Big Data analytics Big Data architecture Bosch |
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