Data‐Centric Process Systems Engineering for the Chemical Industry 4.0

Marco S. Reis, Pedro M. Saraiva

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Industry is undergoing unprecedented conditions and challenges related to data availability, technology, and analytical solutions. New opportunities arise everywhere in existing industrial processes, but new businesses are being created as well, around companies’ ecosystems, providing them with specialized services for data handling, storage, high‐performance computing, advanced analytics, artificial intelligence, online visualization, etc. This new data‐intensive context is usually characterized by the well‐known 5Vs of Big Data: volume, velocity, variety, veracity, and value. This chapter provides examples of concrete cases where the big data 5Vs have been addressed by the authors, under the context of data‐centric process system engineering. Hopefully, these examples may contribute to consolidating the idea that the new paradigm shift, now widely recognized and coined as Industry 4.0, corresponds to an accelerating trend whose beginning started a long time ago, when analytical solutions began to be developed for addressing the challenges that Chemical Process Industries face when moving to data‐intensive environments.
Original languageEnglish
Title of host publicationSystems Engineering in the Fourth Industrial Revolution
EditorsRon S. Kenett, Robert S. Swarz, Avigdor Zonnenshain
PublisherWiley
Pages137-159
ISBN (Electronic)9781119513957
ISBN (Print)9781119513896
DOIs
Publication statusPublished - 24 Jan 2020

Keywords

  • Big data
  • Chemical process industries
  • Data value
  • Data-intensive environments

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