IoT and AI for Real-time Production Planning Adjustments
(César Toscano @ INESC TEC)
NEED for AI:
Installing an IoT platform that covers all demonstrators, supports future equipment integration in the iiLab and the collection of data for artificial intelligence experiments, to adjust the running production schedule taking into account current delays and faults.
AI REGIO SOLUTION:
This pilot will show how to integrate information collected through the IoT system into a production planning software for real-time planning adjustments.
The aim is to adjust the running production schedule taking into account current delays and faults, by reassigning operations to another production resources, matching required and available skills in both sides.
production Planning and Optimisation
increase the % (from 20% to 80%) of equipment and software connected to the IoT Platform
increase the % of detected deviations
NORTE region DIH experiment is focused on the demonstration of how to integrate information collected through an IoT system into a production planning software for real-time planning adjustments.
The aim is to install an IoT platform and AI demonstrator at the iiLab - Industry and Innovation Lab of INESC TEC with 12 demonstrators of concepts and advanced technologies in the areas of robotics, automation, and industrial cyber-physical systems in the form of a show-room.