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Smart Manufacturing in the Internet of Things Era

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Part of the book series: Studies in Big Data ((SBD,volume 30))

Abstract

The purpose of this chapter is to synthesize opportunities and challenges related to the IoT within the manufacturing environment based on a project at Villeroy & Boch (V&B). The chapter seeks to visualize the impact of IoT methodologies, big data [2, 3] and Predictive Analytics towards the ceramics production. Key findings and challenges are related to both to the technical and organizational dimension tended to overshadow optimism. Organizations, such as V&B have been working with big data sets but emerging business models are now looking to gain deep insights from the so-called “data exhaust” that’s now become a “data gold mine” for business optimization embracing the move toward revolutionizing their production through big data and Predictive Analytics.

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Author information

Authors and Affiliations

  1. Villeroy & Boch AG, Mettlach, Germany

    Th. Ochs

  2. BTS, SAP SE, Walldorf, Germany

    U. Riemann

Authors
  1. Th. Ochs
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  2. U. Riemann
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Corresponding author

Correspondence to Th. Ochs .

Editor information

Editors and Affiliations

  1. Techno India College of Technology , Kolkata, West Bengal, India

    Nilanjan Dey

  2. Cairo University , Cairo, Egypt

    Aboul Ella Hassanien

  3. Charotar University of Science and Tech , Changa, Gujarat, India

    Chintan Bhatt

  4. Tanta University , Tanta, Egypt

    Amira S. Ashour

  5. Dept of Computer Science and Engg, PVP Siddhartha Institute of Technology Dept of Computer Science and Engg, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

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Ochs, T., Riemann, U. (2018). Smart Manufacturing in the Internet of Things Era. In: Dey, N., Hassanien, A., Bhatt, C., Ashour, A., Satapathy, S. (eds) Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. Studies in Big Data, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-60435-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-60435-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60434-3

  • Online ISBN: 978-3-319-60435-0

  • eBook Packages: EngineeringEngineering (R0)

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