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INESC TEC projects acknowledged at the Portugal Digital Awards 2020

ScalABLE 4.0 and KnowLogis were acknowledged at the Portugal Digital Awards 2020, in the Industry and Health categories.

11th December 2020

The INESC TEC projects ScalABLE 4.0 - Scalable automation for flexible production systems, and KnowLogis - Expertise in Healthcare Logistics, were acknowledged at the Portugal Digital Awards 2020, an initiative promoted by IDC, in partnership with Axians.

The European project ScalABLE 4.0, coordinated by INESC TEC through the Centre for Robotics in Industry and Intelligent Systems (CRIIS) and the Centre for Enterprise Systems Engineering (CESE), won the award for Best Manufacturing Project, while the KnowLogis, promoted by the Centre for Industrial Engineering and Management (CEGI), won the prize for Best Health Project.  

The ceremony of the Portugal Digital Awards took place on December 10, online, and it aimed to acknowledge the organisations and companies that stood out in the digital transformation of their business.

According to Germano Veiga, assistant coordinator of CRIIS, Associate Professor at the Faculty of Engineering of the University of Porto and head of the ScalABLE project, "this award acknowledges INESC TEC's ongoing effort to develop multidisciplinary solutions with application in advanced production systems".

Mário Amorim Lopes, the CEGI researcher in charge of the KnowLogis project, and Associate Professor at the Faculty of Engineering of the University of Porto, mentioned that “above all, this award acknowledges that our research work can have a positive impact on society in the short-term".

The ScalABLE 4.0 project, having Simoldes as technological partner, aimed at the development of scalable and flexible automation systems, which enable the optimisation and maintenance of production lines in real time, thus adapting the automation of a factory according to the immediate needs of production.

Regarding KnowLogis, implemented by Gaia/Espinho hospital in partnership with Glintt, focused on the development of an intelligent management system for the active and dynamic monitoring of the indicators of the most critical activities in hospital logistics. It estimates, quantifies and suggests correction and improvement measures.