Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
University of Lisbon · Uninova · +4 more institutions
Abstract
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are becoming more and more dynamic, connected but also inherently more complex, with additional inter-dependencies, uncertainties and large volumes of data being generated. Recent advances in Industrial Artificial Intelligence have showcased the potential of this technology to assist manufacturers in tackling the challenges associated with this digital transformation of Cyber-Physical Systems, through its data-driven predictive analytics and capacity to assist decision-making in highly complex, non-linear and often multistage environments. However, the industrial adoption of such solutions is still relatively low beyond…
Citation impact
- FWCI
- 43.18
- Percentile
- 100%
- References
- 118
Authors
6Topics & keywords
- Interdependence
- Computer science
- Industry 4.0
- Field (mathematics)
- Big data
- Analytics
- Data science
- Manufacturing
- Industry, innovation and infrastructure