Alex Paranahyba
de Abreu

Optimisation • Production • Logistics

Alex Abreu is an Assistant Professor of Operational Research at the Faculty of Sciences and Technology (FCT) of the Federal University of Goiás (UFG). He holds a Master's degree in Production Engineering from the Federal University of São Carlos (UFSCar) and is currently pursuing a PhD at the same institution. During his Master's, he completed a research period at the School of Management at the University of Bath (UK). He holds a Bachelor's degree in Production Engineering from UFG. Alex received the Best Master's Dissertation Award from the Brazilian Society of Operational Research (SOBRAPO) in 2026 and the Best Technological Product Award from the National Association of Graduate Programmes and Research in Production Engineering (ANPEPRO) in 2025. He has experience in Operational Research, with a focus on vehicle routing, production planning and scheduling, optimisation under uncertainty, and exact methods.

Email
alexabreu@ufg.br
Profiles
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2026 - Present

Assistant Professor of Operational Research

Universidade Federal de Goiás, Faculdade de Ciências e Tecnologia

2023 - 2024

Visiting Researcher

University of Bath, School of Management

2025 - Present

Doctor's degree • Production Engineering / Operational Research

Universidade Federal de São Carlos, São Carlos-SP, Brazil.

Advisor: Prof. Dr. Reinaldo Morabito. • Co-advisor: Prof. Dr. Pedro Munari.

2022 - 2025

Master's degree • Production Engineering / Operational Research

Universidade Federal de São Carlos, São Carlos-SP, Brazil.

Thesis: The robust pickup and delivery problem with time windows
Advisor: Prof. Dr. Pedro Munari. • Co-advisor: Prof. Dr. Luciano Costa (UFPB)
Best Master's Dissertation Award 2026 - Brazilian Society of Operational Research (SOBRAPO)

2017 - 2022

Bachelor's degree • Production Engineering

Universidade Federal de Goiás, Aparecida de Goiânia-GO, Brazil.

Final project:
Advisor: Prof. Dr. Hélio Yochihiro Fuchigami.

Routing problems

Scheduling problems

Lot-sizing problems

Optimization under uncertainty

2026

The robust pickup and delivery problem with time windows doi

Abreu, A., Battarra, M., Costa, L. & Munari, P.

European Journal of Operational Research

2026

Optimising manufacturing schedules with tailored metrics to reduce unproductive times doi

Abreu, A. & Fuchigami, H.

Production

2025

Performance investigation of metaheuristics for the just-in-time single-machine under different time windows and setup restrictions doi

de Freitas M. G., Abreu, A., Branco, F. J. C., Fuchigami, H. Y. & de Mello, R. T.

International Journal of Industrial Engineering Computations

2024

Innovative optimization algorithms for large-sized industrial scheduling problems doi

Fuchigami, H. Y. & Abreu, A. P.

Brazilian Archives of Biology and Technology

2022

An efficiency and robustness analysis of warm-start mathematical models for idle and waiting times optimization in the flow shop doi

Abreu, A. P., & Fuchigami, H. Y.

Computers & Industrial Engineering