Abstract
Today, in modern factories, each step in manufacturing produces a bulk of valuable as well as highly precise information. This provides a great opportunity for understanding the hidden statistical dependencies in the process. Systematic analysis and utilization of advanced analytical methods can lead towards more informed decisions. In this article we discuss some of the challenges related to big data analysis in manufacturing and relevant solutions to some of these challenges.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Emerging Technologies and Factory Automation (etfa) |
| Number of pages | 8 |
| Publisher | IEEE |
| Publication date | 2017 |
| Article number | 17489120 |
| ISBN (Print) | 978-1-5090-6505-9 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation - Grand Resort Hotel, Limassol, Cyprus Duration: 12 Sept 2017 → 15 Sept 2017 Conference number: 22 https://ieeexplore.ieee.org/xpl/conhome/8233358/proceeding?isnumber=8247555 |
Conference
| Conference | 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation |
|---|---|
| Number | 22 |
| Location | Grand Resort Hotel |
| Country/Territory | Cyprus |
| City | Limassol |
| Period | 12/09/2017 → 15/09/2017 |
| Internet address |
| Series | Emerging Technologies and Factory Automation (etfa), International Conference on |
|---|---|
| ISSN | 1946-0759 |
Keywords
- Big data analytics for industrial process
- Cloud Computing
- Data Mining
- Genetic Algorithm