
Industrial Engineering and Management
About the Centre
The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering.
The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies.
By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts.
CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions.
We believe that evidence-based management is key to tackling the challenges of a constantly changing world.
Team Members
Team Leaders
Selected Publications
A GRASP approach to the container-loading problem
Moura, A;Oliveira, JF;
2005
IEEE INTELLIGENT SYSTEMS
Cost efficiency, production and value-added models in the analysis of bank branch performance
Camanho, AS;Dyson, RG;
2005
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments
Camanho, AS;Dyson, RG;
2005
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
The influence of genes on the aging process of mice: A statistical assessment of the genetics of aging
de Magalhaes, JP;Cabral, JAS;Magalhaes, D;
2005
GENETICS
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Supervised Theses
Root cause analysis in semiconductor manufacturing: a propositional vs. relational approach
Eduardo Luís de Meireles e Oliveira
D - 2019
UP-FEUP
Understanding the customer engagement and the value co-creation with Smart Energy Services
Luisa de Souza Gonçalves
D - 2019
UP-FEUP
Towards solving a robust and sustainable Vehicle Routing Problem with Backhauls
Maria João Martins dos Santos
D - 2019
UP-FEUP
Integration of the multidisciplinary contributions on Service Design for Innovation
Maíra Prestes Joly
D - 2019
UP-FEUP
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