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 | IEEE 22nd Conference on Emerging Technologies & Factory Automation |
| Publisher | IEEE |
| Publication date | 2017 |
| ISBN (Electronic) | 978-1-5090-6505-9 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | IEEE Conference on Emerging Technologies & Factory Automation - Limassol, Cyprus Duration: 12 Sept 2017 → 15 Sept 2017 https://www.etfa2017.org/ |
Conference
| Conference | IEEE Conference on Emerging Technologies & Factory Automation |
|---|---|
| Country/Territory | Cyprus |
| City | Limassol |
| Period | 12/09/2017 → 15/09/2017 |
| Internet address |
Keywords
- Big data analytics for industrial process , Cloud Computing, Data Mining, Genetic Algorithm