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About

I am an Assistant Professor with habilitation at Faculdade de Economia da Universidade do Porto (FEP) and board member of LIAAD, Laboratório de Inteligência Artificial e de Apoio à Decisão of UP. LIAAD is a unit of INESC TEC since 2007. I am Ph.D. in Management Science, Imperial College of London – Business School, MSc. In Operational Research, The London School of Economics and Political Sciences, and I have a first degree (5-years) in Electrical Engineering and Computer, Faculdade de Engenharia da Universidade do Porto. Visiting Professor at University of Florida - Department of Industrial and Systems Engineering (2007/08) and at Texas A&M University – Department Industrial & Systems Engineering (2015-16).

My research interests include developing and applying Operational Research and Artificial Intelligence techniques for decision support in Management problems (including production, storage, logistics and transportation, and services), with particular interest on combinatorial optimization applications.

At FEP I have been lecturing, mainly in English, Operational Research and Operations Management to undergraduates, Logistics, Decision Analysis, and Optimization to Master students and Ph.D. candidates. At FEP have also been involved in several boards and councils (Representative Council, Scientific Board, Scientific Committee of the Ph.D. in Management, among others).

Interest
Topics
Details

Details

  • Name

    Dalila Fontes
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st January 2011
003
Publications

2020

A Lagrangian Bound on the Clique Number and an Exact Algorithm for the Maximum Edge Weight Clique Problem

Authors
Hosseinian, S; Fontes, DBMM; Butenko, S;

Publication
INFORMS Journal on Computing

Abstract

2020

Layout optimization of an airborne wind energy farm for maximum power generation

Authors
Roque, LAC; Paiva, LT; Fernandes, MCRM; Fontes, DBMM; Fontes, FACC;

Publication
Energy Reports

Abstract
We consider a farm of Kite Power Systems (KPS) in the field of Airborne Wind Energy (AWE), in which each kite is connected to an electric ground generator by a tether. In particular, we address the problem of selecting the best layout of such farm in a given land area such that the total electrical power generated is maximized. The kites, typically, fly at high altitudes, sweep a greater area than that of traditional wind turbines, and move within a conic shaped volume with vertex on the ground station. Therefore, constraints concerning kite collision avoidance and terrain boundaries must be considered. The efficient use of a given land area by a set of KPS depends on the location of each unit, on its tether length and on the elevation angle. In this work, we formulate the KPS farm layout optimization problem. Considering a specific KPS and wind characteristics of the given location, we study the power curve as a function of the tether length and elevation angle. Combining these results with an area with specified length and width, we develop and implement a heuristic optimization procedure to devise the layout of a KPS farm that maximizes wind power generation. © 2019

2020

Layout optimization of an airborne wind energy farm for maximum power generation

Authors
Roque, LAC; Paiva, LT; Fernandes, MCRM; Fontes, DBMM; Fontes, FACC;

Publication
Energy Reports

Abstract
We consider a farm of Kite Power Systems (KPS) in the field of Airborne Wind Energy (AWE), in which each kite is connected to an electric ground generator by a tether. In particular, we address the problem of selecting the best layout of such farm in a given land area such that the total electrical power generated is maximized. The kites, typically, fly at high altitudes, sweep a greater area than that of traditional wind turbines, and move within a conic shaped volume with vertex on the ground station. Therefore, constraints concerning kite collision avoidance and terrain boundaries must be considered. The efficient use of a given land area by a set of KPS depends on the location of each unit, on its tether length and on the elevation angle. In this work, we formulate the KPS farm layout optimization problem. Considering a specific KPS and wind characteristics of the given location, we study the power curve as a function of the tether length and elevation angle. Combining these results with an area with specified length and width, we develop and implement a heuristic optimization procedure to devise the layout of a KPS farm that maximizes wind power generation. © 2019

2019

Joint scheduling of production and transport with alternative job routing in flexible manufacturing systems

Authors
Homayouni, SM; Fontes, DBMM;

Publication

Abstract

2019

Modeling Supply Chain Network: A Need to Incorporate Financial Considerations

Authors
Borges, A; Fontes, DBMM; Gonçalves, JF;

Publication
Springer Proceedings in Mathematics and Statistics

Abstract
In the past few years, important supply chain decisions have captured managerial interest. One of these decisions is the design of the supply chain network incorporating financial considerations, based on the idea that establishment and operating costs have a direct effect on the company’s financial performance. However, works on supply chain network design (SCND) incorporating financial decisions are scarce. In this work, we address a SCND problem in which operational and investment decisions are made in order to maximize the company value, measured by the Economic Value Added, while respecting the usual operational constraints, as well as financial ratios and constraints. This work extends current research by considering debt repayments and new capital entries as decision variables, improving on the calculation of some financial values, as well as introducing infrastructure dynamics; which together lead to greater value creation. © 2019, Springer Nature Switzerland AG.

Supervised
thesis

2019

Corporate Social Responsibility Communication in The Logistics Industry: The Home Country Role

Author
Ester Santos da Costa

Institution
UP-FEP

2019

A workforce size optimization framework for retailers

Author
Patrícia Gomes da Conceição

Institution
UP-FEP

2019

Sustainability in the manufacturing - a systematic literature review

Author
Catarina Sofia Martins Pereira

Institution
UP-FEP

2019

Assortment Optimization in Online Retail

Author
Helena Beatriz Oliveira Santos

Institution
UP-FEP

2018

Application of a Genetic Algorithm to the design of a supply chain management with financial considerations

Author
Maria Alexandra Teixeira Borges

Institution
UP-FEP