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Sobre

Sobre

Sou Ana Maria Rodrigues, natural da Maia, distrito do Porto, licenciada em Matemática Aplicada e Computação pela Universidade de Aveiro, Mestre em Métodos Quantitativos Aplicados à Gestão pela Escola de Gestão do Porto da Universidade do Porto (UP) e Doutorada, desde 2014, em Engenharia Industrial e Gestão pela Faculdade de Engenharia da UP com a tese intitulada “Sectores e Rotas na Recolha de Resíduos Sólidos Urbanos”.

Presentemente, sou Professora Adjunta no Instituto Superior de Contabilidade e Administração do Porto do Instituto Politécnico do Porto (ISCAP-PPorto), onde exerço funções desde Dezembro de 1998, e investigadora no INESC TEC – CESE.

Tenho especial interesse de investigação em problemas de otimização combinatória em particular problemas de setorização e problemas de localização e rotas. 

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Ana Maria Rodrigues
  • Desde

    01 novembro 2000
003
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
Sectorization problems refer to dividing a large set, area or network into smaller parts concerning one or more objectives. A decision support system (DSS) is a relevant tool for solving these problems, improving optimisation procedures, and finding feasible solutions more efficiently. This paper presents a new web-based Decision Support System for Sectorization (D3S). D3S is designed to solve sectorization problems in various areas, such as school and health districting,planning sales territories and maintenance operations zones, or political districting. Due to its generic design, D3S bridges the gap between sectorization problems and a state-of-the-art decision support tool. The paper aims to present the generic and technical attributes of D3S by providing detailed information regarding the problem-solution approach (based on Evolutionary Algorithms), objectives (most common in sectorization), constraints, structure and performance.

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; Ferreira, JS; Oliveira, CT;

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. © 2024 Authors.

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

Sectorization of a Parcel Delivery Service

Autores
Mostardinha, M; Escobar, P; Lopes, C; Rodrigues, AM;

Publicação
Lecture Notes in Mechanical Engineering

Abstract
This paper explores the problem of sectorization of a parcel delivery service that wants to assign an action region to each of its teams, regarding the number of deliveries scheduled for each zone, so that there is a balanced service amongst sectors, covering contiguous zones, and considering limited capacities for the teams. Besides being relatively easy to model, the available optimization tools and software provide poor results when dimension increases in these types of problems, with computational capacity exceeding. In this paper an integer programming model, combined with an heuristic to return a faster solution, was implemented to solve a sectorization problem in two different situations. The main advantage of the strategy proposed, compared to previous ones, is its simplicity and easy implementation while still returning an optimal solution. © 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

Teses
supervisionadas

2019

Sistema de Consentimento Informado e Reputação persistido em Blockchain

Autor
Hélder Miguel Ribeiro de Sousa

Instituição
IPP-ESTG

2019

Optimal Operation of a Rooftop Photovoltaic Electric Vehicle Parking Lot

Autor
Helena Maria Dias Espassandim

Instituição
UP-FEUP

2019

Application of Safety Verification Techniques on ROS Software

Autor
Tiago Filipe Miranda Neto

Instituição
UP-FEUP

2018

Online model estimation for predictive control of air conditioners in buildings.

Autor
Bruno Miguel Tulha Moreira

Instituição
UP-FEUP