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 | |
| Publication status | Published - 24 Jan 2020 |
Keywords
- Big data
- Chemical process industries
- Data value
- Data-intensive environments