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About

I am an Associate 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 (2000), MSc. In Operational Research, The London School of Economics and Political Sciences (1994), and I have a first degree (5-years) in Electrical Engineering and Computer, Faculdade de Engenharia da Universidade do Porto (1993). Teaching Assistant at The London School of Economics and Political Sciences (1996-99). Visiting Professor at University of Florida (2007/08) and at Texas A& M University (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. I have authored over 50 publications (WoS) and I have been coordinating and participating in several research projects. I am Associate Editor of Journal of Combinatorial Optimization and Operations Research Forum (both Springer). At FEP I have been lecturing, mainly in English, Operational Research and Operations Management to undergraduates, Research and Operations Management , 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, Pedagogical Board, Scientific Committee of the Ph.D. in Management and of the Master in Modeling, Data Analysis and Decision Support Systems, among others).

Interest
Topics
Details

Details

  • Name

    Dalila Fontes
  • Cluster

    Computer Science
  • Role

    Research Coordinator
  • Since

    01st January 2011
003
Publications

2021

A MILP Model for Energy-Efficient Job Shop Scheduling Problem and Transport Resources

Authors
Homayouni, SM; Fontes, DBMM;

Publication
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part I

Abstract
This work addresses the energy-efficient job shop scheduling problem and transport resources with speed scalable machines and vehicles which is a recent extension of the classical job shop problem. In the environment under consideration, the speed with which machines process production operations and the speed with which vehicles transport jobs are also to be decided. Therefore, the scheduler can control both the completion times and the total energy consumption. We propose a mixed-integer linear programming model that can be efficiently solved to optimality for small-sized problem instances. © 2021, IFIP International Federation for Information Processing.

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

Optimization of Sustainable Single-Machine Scheduling Problem : Short Research Paper, CSCI-ISCI

Authors
Homayouni S.M.; Fontes D.B.M.M.;

Publication
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020

Abstract
This work considers sustainable scheduling of manufacturing operations and preventive maintenance activities in a single-machine environment where the machine works continuously in three eight-hour shifts per day. The jobs can be produced at different processing speeds, which reduces energy consumption and/or processing times. In a tri-objective mixed integer linear programming model, sustainability is attained through minimizing total weighted earliness/ tardiness - economic pillar, total energy consumption - environmental pillar, and number of undesired activities - social pillar. Moreover, a multi-objective genetic algorithm finds near optimal solutions in a timely manner. Numerical results will be presented at the conference.

2019

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

Authors
Homayouni, SM; Fontes, DBMM;

Publication

Abstract

Supervised
thesis

2021

Optimizing inventory management with prepacks

Author
Ana Catarina Costa Azevedo

Institution
UP-FEP

2020

Vehicle Routing Problem with multiple trips and time constraints (VRPMTTC): A Case Study

Author
Cindy dos Santos Alves

Institution
UP-FEP

2020

Flexible Job Shop scheduling with Transportation

Author
Filipe Lopes Laginha da Palma

Institution
UP-FEP

2020

Indústria 4.0 e a Responsabilidade Social na indústria transformadora portuguesa: um estudo exploratório

Author
Cristiana Filipa Guedes Cardoso

Institution
UP-FEP

2020

Design of a Supply Chain Network with Financial Considerations.

Author
Maria Alexandra Teixeira Borges Vieira Pouzada

Institution
UP-FEP