Gonçalo Reis Figueira

I am a researcher in the Center for Industrial Engineering and Management from INESC TEC, and a professor in the Department of Industrial Engineering and Management at FEUP. I hold M.Sc. and Ph.D. degrees in Industrial Engineering and Management from FEUP.

My research interests include operations management and decision support systems. I have published in international journals such as MSOM, Omega, IJPE, IJPR, COR and DSS - Google citation profile.

I have also been a researcher/consultant in several R&D projects, funded by different types of entities, in the areas of production planning, supply chain design, scheduling, inventory replenishment and artificial intelligence.

Domains

Industrial Engineering and Management Artificial Intelligence Systems Engineering and Management

Projects

DM4Manufacturing

Aligning Manufacturing Decision Making with Advanced Manufacturing Technologies

KnowLOGIS

Project Datasheet

View all projects

Publications

Simulação-Otimização: porque e como combiná-las?

Figueira, G;

2019

Pesquisa Operacional para o Desenvolvimento

A cooperative coevolutionary hyper-heuristic approach to solve lot-sizing and job shop scheduling problems using genetic programming

Zeiträg, Y;Figueira, JR;Figueira, G;

2024

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Using Supplier Networks to Handle Returns in Online Marketplaces

Pinto, C;Figueira, G;Amorim, P;

2023

OPERATIONAL RESEARCH, IO 2022-OR

Scheduling wagons to unload in bulk cargo ports with uncertain processing times

Ferreira, C;Figueira, G;Amorim, P;Pigatti, A;

2023

COMPUTERS & OPERATIONS RESEARCH

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Supervised theses

Multiparty CRDT synchronization

Pedro Manuel da Silva Gomes

M - 2024

UP-FEUP

Centres

Industrial Engineering and Management

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.