Duration: 13:08

86 views

0

Authors:
- Rosaria Rossini, LINKS Foundation
- Davide Conzon, LINKS Foundation
- Gianluca Prato, LINKS Foundation
- Claudio Pastrone, LINKS Foundation
- João Pedro Correia dos Reis, University of Porto
- Gil Goncalves, University of Porto

Abstract:
Nowadays competitiveness goes through several aspects: digitalization, productivity, environmental impact. Technology is advancing fast and helping industries to obtain more and more detailed data. In fact, the possibility to monitoring and control each part of the process is a strong base on which can be build a more intelligent and focused control. Technology advance brings innovation and possibility to manage the production in terms of ""near future"" through AI prediction and decision-making support. Forecasting demands and productions, optimizing process by reducing costs and improving efficiency without corrupting the quality of the product is a big challenge at the plants level. Automation, Industrial Internet of Things (IIoT), robotics, cloud computing, AI and more... A problem arises for the industries in the time of researching, getting approval, purchasing and installing new technology, in fact, a faster and better solution may have already emerged. In this paper, a flexible, scalable and fast solution has been proposed to cope such problem and help industries to advance and discover possible optimizations.