Abstract
Thriving and challenging market trends led to changes in the manufacturing industry. Production lines that need to adapt to customisable products on the fly emerged. By applying communication and sensors to the shop-floor, along with Industry 4.0 principles, this became a possibility. The growing amount of sensors led to an exponential boom of the amount of data available, creating the concept of Smart Factory. By applying Big Data Analysis to this data, it may be possible to optimise Smart Factories. There are technologies capable of doing this, even though only some are capable of guaranteeing Smart Factory requirements, such as real-time. A study of these technologies, based on SME’s experts’ opinion, is hereby presented to assess the most suitable ones to analyse Big Data in a Smart Factory environment.
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Acknowledgements
This research was supported by the openMOS (Open Dynamic Manufacturing Operating System for Smart Plug-and-Produce Automation Components) project of European Union’s H2020. This document does not represent the opinion of the European Community, and the European Community is not responsible for any use that might be made of its content.
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Lima-Monteiro, P., Parreira-Rocha, M., Rocha, A.D., Barata Oliveira, J. (2017). Big Data Analysis to Ease Interconnectivity in Industry 4.0—A Smart Factory Perspective. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., Oliveira, J. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing . SOHOMA 2016. Studies in Computational Intelligence, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-51100-9_21
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