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About

About

Professor at FEUP - Faculdade de Engenharia da Universidade do Porto, Departamento de Engenharia e Gestão Industrial Researcher at INESC TEC

Interest
Topics
Details

Details

  • Name

    José Soeiro Ferreira
  • Role

    Affiliated Researcher
  • Since

    20th June 1985
007
Publications

2024

D3S: Decision support system for sectorization

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

Publication
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

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

Publication
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

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

Publication
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

Authors
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;

Publication
Operational Research

Abstract

2023

Dynamic Sectorization - Conceptualization and Application

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

Publication
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.

Supervised
thesis

2021

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

Author
Isabel Pinto Gonçalves

Institution
UM

2021

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

Author
Adília Isabel Domingues da Cruz Alves

Institution

2021

Sistema de visão computacional para monitorização do protocolo de higienização hospitalar

Author
João Pedro Fernandes Pereira

Institution
UTAD

2021

Bem estar emocional em contexto familiar. O jogo como ferramenta promotora da comunicação

Author
Margarida Teixeira da Fonseca Bachofen Lehrfeld

Institution
UP-FEUP

2021

Desenvolvimento de soluções energeticamente sustentáveis para ginásios

Author
Nuno Henrique Gaspar Pacheco

Institution
UTAD