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Sobre

Sobre

Professor da FEUP - Faculdade de Engenharia da Universidade do Porto, Departamento de Engenharia e Gestão Industrial

Investigador do INESC Porto

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    José Soeiro Ferreira
  • Cargo

    Investigador Afiliado
  • Desde

    20 junho 1985
007
Publicações

2024

D3S: Decision support system for sectorization

Autores
Öztürk, EG; Rocha, P; Rodrigues, AM; Ferreira, JS; Lopes, C; Oliveira, C; Nunes, AC;

Publicação
Decision Support Systems

Abstract

2024

How to know it is “the one”? Selecting the most suitable solution from the Pareto optimal set. Application to sectorization

Autores
Öztürk, EG; Rodrigues, AM; Soeiro Ferreira, J; Teles Oliveira, C;

Publicação
Operations Research and Decisions

Abstract
Multi-objective optimization (MOO) considers several objectives to find a feasible set of solutions. Selecting a solution from Pareto frontier (PF) solutions requires further effort. This work proposes a new classification procedure that fits into the analytic hierarchy Process (AHP) to pick the best solution. The method classifies PF solutions using pairwise comparison matrices for each objective. Sectorization is the problem of splitting a region into smaller sectors based on multiple objectives. The efficacy of the proposed method is tested in such problems using our instances and real data from a Portuguese delivery company. A non-dominated sorting genetic algorithm (NSGA-II) is used to obtain PF solutions based on three objectives. The proposed method rapidly selects an appropriate solution. The method was assessed by comparing it with a method based on a weighted composite single-objective function.

2023

A Resectorization of Fire Brigades in the North of Portugal

Autores
Lima, MM; de Sousa, FS; Öztürk, EG; Rocha, PF; Rodrigues, AM; Ferreira, JS; Nunes, AC; Lopes, IC; Oliveira, CT;

Publicação
Springer Proceedings in Mathematics and Statistics

Abstract
Sectorization consists of grouping the basic units of a large territory to deal with a complex problem involving different criteria. Resectorization rearranges a current sectorization avoiding substantial changes, given a set of conditions. The paper considers the case of the distribution of geographic areas of fire brigades in the north of Portugal so that they can protect and rescue the population surrounding the fire stations. Starting from a current sectorization, assuming the geographic and population characteristics of the areas and the fire brigades’ response capacity, we provide an optimized resectorization considering two objectives: to reduce the rescue time by maximizing the compactness criterion, and to avoid overload situations by maximizing the equilibrium criterion. The solution method is based on the Non-dominated Sorting Genetic Algorithm (NSGA-II). Finally, computational results are presented and discussed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2023

Developing a System for Sectorization: An Overview

Autores
Göksu Öztürk, E; Soares de Sousa, F; Margarida Lima, M; Filipe Rocha, P; Maria Rodrigues, A; Soeiro Ferreira, J; Catarina Nunes, A; Cristina Lopes, I; Teles Oliveira, C;

Publicação
Operational Research

Abstract

2023

Dynamic Sectorization - Conceptualization and Application

Autores
de Sousa, FS; Lima, MM; Öztürk, EG; Rocha, PF; Rodrigues, AM; Ferreira, JS; Nunes, AC; Oliveira, C;

Publicação
Lecture Notes in Mechanical Engineering

Abstract
Sectorization is the division of a large area, territory or network into smaller parts considering one or more objectives. Dynamic sectorization deals with situations where it is convenient to discretize the time horizon in a certain number of periods. The decisions will not be isolated, and they will consider the past. The application areas are diverse and increasing due to uncertain times. This work proposes a conceptualization of dynamic sectorization and applies it to a distribution problem with variable demand. Furthermore, Genetic Algorithm is used to obtain solutions for the problem since it has several criteria; Analytical Hierarchy Process is used for the weighting procedure. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Teses
supervisionadas

2021

Privacy and Security in Data Mining

Autor
Mafalda Guimarães Nunes

Instituição
UM

2021

Integrating multi-source data into HandSpy

Autor
Hristo Orlinov Valkanov

Instituição
UP-FCUP

2021

Desenvolvimento de um Parser de ficheiros ARXML

Autor
NUNO MIGUEL SILVA PACHECO

Instituição
IPP-ISEP

2021

Blue Energy Harvesting of Ocean Waves: Optimizing Triboelectric Nanogenerators to Sea States in Integrated Experimental and Multiphysics Modelling

Autor
Isabel Pinto Gonçalves

Instituição
UM

2021

Plataforma digital para a prevenção, monitorização e gestão inteligente da "praga mosca da azeitona"

Autor
Adília Isabel Domingues da Cruz Alves

Instituição