Data‐Centric Process Systems Engineering for the Chemical Industry 4.0

Marco S. Reis; Pedro M. Saraiva

doi:10.1002/9781119513957.ch6

Data‐Centric Process Systems Engineering for the Chemical Industry 4.0

Marco S. Reis, Pedro M. Saraiva

NOVA Information Management School (NOVA IMS)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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 language	English
Title of host publication	Systems Engineering in the Fourth Industrial Revolution
Editors	Ron S. Kenett, Robert S. Swarz, Avigdor Zonnenshain
Publisher	Wiley
Pages	137-159
ISBN (Electronic)	9781119513957
ISBN (Print)	9781119513896
DOIs	https://doi.org/10.1002/9781119513957.ch6
Publication status	Published - 24 Jan 2020

Keywords

Big data
Chemical process industries
Data value
Data-intensive environments

Access to Document

10.1002/9781119513957.ch6

https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119513957.ch6

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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{\textquoteright} 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.",

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