Smart products are often deployed in significant numbers in an always connected and active network. Therefore, the availability and operationability of the smart application depends critically on the reliability of the build-in electronics. The smart products are often highly innovative and mandate a short time-to-market. A traditional product development approach applying (conservative) design rules and extensive qualfication tests based on field experience is obsolete. An agile New Product Introduction methodology is required. The basic elements of such an NPI approach - Physics-of-Failure, science based technology qualification and virtual prototyping - will be presented.
Speaker: Geert Willems | Center of Electronics Design & Manufacturing Group Leader | imec
14.45 - 15.15: Smart productivity: data analytics optimizing machine uptime and maintenance
Production machines are becoming increasingly intelligent and contain more and more sensors to monitor all sorts of physical quantities. By connecting production machines to a cloud environment, these sensor values can continuously be monitored from a distance. Applying machine learning on the sensor data can reveal anomalies and give insights into the machines’ condition, this way allowing to adjust the operation of the machine accordingly. By using fleet monitoring, data from similar machines is combined in order to further improve the data analytics and the reliability and robustness of the models.
Speaker: Sofie Van Hoecke | Associate Professor | Ugent & imec
The smart connectivity experimental project focusses on (i) the realisation of communication in challenging industry 4.0 environments. and (ii) providing contextual information from industry 4.0 goods, mobile units and objects (object location, status, etc). Within the testing ground, both aspects are demonstrated by having an autonomous visual inventory by a having a drone inspecting a process carried out by means of an indoor localization system.
Speaker: Eli De Poorter | Professor | Ugent & imec
