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Presentation

Industrial Engineering and Management

The centre is an international reference in business analytics through decision support systems for service and operations management, contributing also in service design, performance assessment and asset management.

Our core areas of application include Mobility/Transports, Retail/Industry and Healthcare, also with significant contributions in the Energy Sector and a strengthened collaboration with the Centre for Power and Energy Systems.

In the latest years, CEGI substantially contribute to Industry 4.0 initiatives (improving scheduling rules based on the additional information available in manufacturing systems).

Latest News
Systems Engineering and Management

TestBed 5G: INESC TEC in half of the pilots that aim to boost the manufacturing industry

INESC TEC’s Industry and Innovation Laboratory (iiLab) has already received six of the 12 planned pilots. The demonstrations aim to provide industrial solutions with different operating and coordination features.  

29th October 2024

Systems Engineering and Management

Sorting, organising, palletising: INESC TEC technology paving the way to an optimised supply chain

The Institute contributed to a solution that reduces manual efforts and ensures a more flexible supply chain. This involvement was “fundamental”, stemming from the ongoing progress of the PRODUTECH R3 mobilising agenda.  

29th October 2024

Drones, automation and sensing: here are INESC TEC’s solutions to the challenges of the wine sector

INESC TEC researchers led discussions on innovative solutions for vineyards at an event that brought together companies, universities and players in the sector.  

24th October 2024

Systems Engineering and Management

INESC TEC researcher warns companies about the quality of data generated through AI in a paper published by MIT management journal

Could the increasing interest in language models, like ChatGPT, be diverting resources away from companies to adopt advanced analytics practices that truly support smart decisions? Pedro Amorim, INESC TEC researcher, and João Alves (from INESC TEC LTPLabs spin-off) believe so. In a paper published in MIT Sloan Management Review, they warn about the quality and unpredictability of data generated solely from generative language models - despite advocating for more investment in Artificial Intelligence (AI) that incorporates these models with advanced analysis (with concrete reasons provided).

25th June 2024

This technology aims to make cities more accessible for everyone - and earned a recognition for an INESC TEC researcher

INESC TEC researcher Marta Campos Ferreira participated in the development of a prototype that seeks to improve the experiences of people with reduced mobility in cities – and make them more inclusive. The new solution featured at an international conference, and the researcher's work was acknowledged. Now, the goal is for the solution to reach everyone through an application.

17th May 2024

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Featured Projects

PFAI4_5eD

Programa de Formação Avançada Industria 4 - 5a edição

2024-2024

Team

Facts & Figures

2Book Chapters

2020

13Academic Staff

2020

19Senior Researchers

2016