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About

About

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. 

Interest
Topics
Details

Details

003
Publications

2021

A Comparison Between Simultaneous and Hierarchical Approaches to Solve a Multi-Objective Location-Routing Problem

Authors
Teymourifar, A; Rodrigues, AM; Ferreira, JS;

Publication
AIRO Springer Series - Graphs and Combinatorial Optimization: from Theory to Applications

Abstract

2021

A Two-Stage Method to Solve Location-Routing Problems Based on Sectorization

Authors
Teymourifar, A; Rodrigues, AM; Ferreira, JS; Lopes, C; Oliveira, C; Romanciuc, V;

Publication
Innovations in Industrial Engineering - Lecture Notes in Mechanical Engineering

Abstract

2021

An Integer Programming Approach to Sectorization with Compactness and Equilibrium Constraints

Authors
Romanciuc, V; Lopes, C; Teymourifar, A; Rodrigues, AM; Ferreira, JS; Oliveira, C; Öztürk, EG;

Publication
Innovations in Industrial Engineering - Lecture Notes in Mechanical Engineering

Abstract

2020

Geographically Separating Sectors in Multi-Objective Location-RoutingProblems

Authors
Teymourifar, A; Rodrigues, AM; Ferreira, JS;

Publication
WSEAS TRANSACTIONS ON COMPUTERS

Abstract
This paper deals with multi-objective location-routing problems (MO-LRPs) and follows a sectorizationapproach, which means customers are divided into different sectors, and a distribution centre is opened for eachsector. The literature has considered objectives such as minimizing the number of opened distribution centres,the variances of compactness, distances and demands in sectors. However, the achievement of these objectivescannot guarantee the geographical separation of sectors. In this sense, and as the geographical separation ofsectors can have significant practical relevance, we propose a new objective function and solve a benchmarkof problems with the non-dominated sorting genetic algorithm (NSGA-II), which finds multiple non-dominatedsolutions. A comparison of the results shows the effectiveness of the introduced objective function, since, in thenon-dominated solutions obtained, the sectors are more geographically separated when the values of the objectivefunction improve.

2020

A Comparison between NSGA-II and NSGA-III to Solve Multi-Objective Sectorization Problems based on Statistical Parameter Tuning

Authors
Teymourifar, A; Rodrigues, AM; Ferreira, JS;

Publication
2020 24th International Conference on Circuits, Systems, Communications and Computers (CSCC)

Abstract

Supervised
thesis

2020

Apoio à Decisão em Projetos de Solidariedade Social - Redução do Desperdício Alimentar

Author
João Gil Costa Ramos Pereira

Institution
UP-FEUP

2019

Planeamento de Rotas no Transporte de Alimentos em Projetos de Solidariedade Social

Author
Henrique Daniel Martins Correia

Institution
UP-FEUP

2019

Setorização no Desenho de Rotas - aplicação ao transporte de utentes não urgentes entre as suas residências e um centro hospitalar

Author
Tiago Gaspar Pereira

Institution
UP-FEUP

2015

Problemas de rotas em recolha de resíduos urbanos: uma abordagem heurística

Author
Hugo Miguel Rodrigues Rego

Institution
UP-FEUP