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INESC TEC
INESC TEC
INESC TEC
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INESC TEC

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.

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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