Big data analysis to ease interconnectivity in industry 4.0—A smart factory perspective

Pedro Lima-Monteiro, Mafalda Parreira-Rocha, André Dionisio Rocha, Jose Barata Oliveira

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages237-245
Number of pages9
Volume694
DOIs
Publication statusPublished - 2017

Publication series

NameStudies in Computational Intelligence
PublisherSpringer Verlag
Volume694
ISSN (Print)1860-949X

Keywords

  • Big data analysis
  • Industry 4.0
  • Internet of things
  • Smart factory

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  • Cite this

    Lima-Monteiro, P., Parreira-Rocha, M., Rocha, A. D., & Oliveira, J. B. (2017). Big data analysis to ease interconnectivity in industry 4.0—A smart factory perspective. In Studies in Computational Intelligence (Vol. 694, pp. 237-245). (Studies in Computational Intelligence; Vol. 694). Springer Verlag. https://doi.org/10.1007/978-3-319-51100-9_21