
José Fernando Oliveira
My main area of scientific activity is Operations Research and Management Science. Within Operations Research my main application area are the Cutting and Packing Problems, while from the techniques viewpoint my research is centered in the use and development of Metaheuristics approaches.
Cutting and Packing problems are hard combinatorial optimization problems that arise under several practical contexts, whenever big pieces of raw-material have to be cut into smaller items, or small items have to be packed inside a larger container, so that waste is minimized. These problems include hard geometric constraints when dealing with the optimization layer. I have also worked on Vehicle Routing Problem. My research on Lotsizing and Scheduling problems in industrial contexts, planogram optimization in retailing, and shared mobility mainly builds on my expertise on Metaheuristics.
I also work on the use of the quantitative methods, provided by Operations Research and Management Science, to support decision making in Higher Education institutions management, which includes workload models, sustainability, institutional benchmarking and assessment and evaluation of institutions and teaching staff.
Publications
Optimizing multi-attribute pricing plans with time- and location-dependent rates for different carsharing user profiles
Golalikhani, M;Oliveira, BB;Correia, GHD;Oliveira, JF;Carravilla, MA;
2024
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Preface
Almeida, JP;Geraldes, CS;Lopes, IC;Moniz, S;Oliveira, JF;Pinto, AA;
2023
Springer Proceedings in Mathematics and Statistics
Foreword
Oliveira, JF;
2023
Springer Proceedings in Mathematics and Statistics
Heuristics for online three-dimensional packing problems and algorithm selection framework for semi-online with full look-ahead
Ali, S;Ramos, AG;Carravilla, MA;Oliveira, JF;
2024
APPLIED SOFT COMPUTING
Supervised Theses
Cervical Cancer Screening: Deep Learning Tools For Automatic Diagnosis Support
Francisca Marques de Almeida Morgado
M - 2019
UP-FEUP

