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Sobre

Sobre

Ana Viana é Doutorada em Engenharia Electrotécnica e de Computadores pela Univesidade do Porto (2004).

É coordenadora do Centro de Engenharia e Gestão Industrial do INESC TEC e Professora Coordenadora do Instituto Superior de Engenharia do Porto.

A sua principal área de investigação é Investigação Operacional, com foco em problemas de optimização combinatória. Como técnicas de resolução deste tipo de problemas explora quer abordagens baseadas em técnicas exactas, quer heurísticas.

Liderou vários projectos financiados por fundos públicos nas áreas de Saúde, Logística e Energia e publica regularmente em revistas científicas de referência, na sua área de actividade.

Tópicos
de interesse
Detalhes

Detalhes

016
Publicações

2022

The Probabilistic Travelling Salesman Problem with Crowdsourcing

Autores
Santini, A; Viana, A; Klimentova, X; Pedroso, JP;

Publicação
COMPUTERS & OPERATIONS RESEARCH

Abstract
We study a variant of the Probabilistic Travelling Salesman Problem arising when retailers crowdsource last-mile deliveries to their own customers, who can refuse or accept in exchange for a reward. A planner must identify which deliveries to offer, knowing that all deliveries need fulfilment, either via crowdsourcing or using the retailer's own vehicle. We formalise the problem and position it in both the literature about crowdsourcing and among routing problems in which not all customers need a visit. We show that to evaluate the objective function of this stochastic problem for even one solution, one needs to solve an exponential number of Travelling Salesman Problems. To address this complexity, we propose Machine Learning and Monte Carlo simulation methods to approximate the objective function, and both a branch-and-bound algorithm and heuristics to reduce the number of evaluations. We show that these approaches work well on small size instances and derive managerial insights on the economic and environmental benefits of crowdsourcing to customers.

2022

2-echelon lastmile delivery with lockers and occasional couriers

Autores
Dos Santos, AG; Viana, A; Pedroso, JP;

Publicação
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Abstract
We propose a new approach for the lastmile delivery problem where, besides serving as collecting points of orders for customers, parcel lockers are also used as transshipment nodes in a 2-echelon delivery system. Moreover, we consider that a customer (occasional courier) visiting a locker may accept a compensation to make a delivery to another customer on their regular traveling path. The proposed shared use of the locker facilities - by customers that prefer to self-pick up their orders, and also as a transfer deposit for customers that prefer home delivery - will contribute to better usage of an already available storage capacity. Furthermore, the use of occasional couriers (OCs) brings an extra layer of flexibility to the delivery process and may positively contribute to achieving some environmental goals: although non-consolidation of deliveries may, at first sight, seem negative, by only considering OCs that would go to the locker independently of making or not a delivery on their way home, and their selection being constrained by a maximum detour, the carbon footprint can be potentially reduced when compared to that of dedicated vehicles. We present a mixed-integer linear programming formulation for the problem that integrates three delivery options - depot to locker, depot to locker followed by final delivery by a professional fleet, and depot to locker followed by final delivery by an OC. Furthermore, to assess the impact of OCs' no show on the delivery process, we extend the formulation to re-schedule the delivery of previous undelivered parcels, and analyze the impact of different no-show rates. Thorough computational experiments show that the use of OCs has a positive impact both on the delivery cost and on the total distance traveled by the dedicated fleets. Experiments also show that the negative impact of no-shows may be reduced by using lockers with higher capacities.

2021

Robust Models for the Kidney Exchange Problem

Autores
Carvalho, M; Klimentova, X; Glorie, K; Viana, A; Constantino, M;

Publicação
INFORMS JOURNAL ON COMPUTING

Abstract
Scope and Mission

2021

Fairness models for multi-agent kidney exchange programmes

Autores
Klimentova, X; Viana, A; Pedroso, JP; Santos, N;

Publicação
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Abstract
Nowadays there are several countries running independent kidney exchange programmes (KEPs). These programmes allow a patient with kidney failure, having a willing healthy but incompatible donor, to receive a transplant from a similar pair where the donor is compatible with him. Since in general larger patient-donor pools allow for more patients to be matched, this prompts independent programmes (agents) to merge their pools and collaborate in order to increase the overall number of transplants. Such collaboration does however raise a problem: how to assign transplants to agents so that there is a balance between the contribution each agent brings to the merged pool and the benefit it gets from the collaboration. In this paper we propose a new Integer Programming model for multi-agent kidney exchange programmes (mKEPs). It considers the possible existence of multiple optimal solutions in each matching period of a KEP and, in consecutive matching periods, selects the optimal solution among the set of alternative ones in such a way that in the long-term the benefit each agent gets from participating in the mKEP is balanced accordingly to a given criterion. This is done by use of a memory mechanism. Extensive computational tests show the benefit of mKEPs, when compared to independent KEPs, in terms of potential increase in the number of transplants. Furthermore, they show that, under different policies, the number of additional transplants each agent receives can vary significantly. More importantly, results show that the proposed methodology consistently obtains more stable results than methodologies that do not use memory. © 2020 Elsevier Ltd

2021

Modelling and optimisation in European Kidney Exchange Programmes

Autores
Biro, P; van de Klundert, J; Manlove, D; Pettersson, W; Andersson, T; Burnapp, L; Chromy, P; Delgado, P; Dworczak, P; Haase, B; Hemke, A; Johnson, R; Klimentova, X; Kuypers, D; Costa, AN; Smeulders, B; Spieksma, F; Valentin, MO; Viana, A;

Publicação
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Abstract
The complex multi-criteria optimisation problems arising in Kidney Exchange Programmes have received considerable attention both in practice and in the scientific literature. Whereas theoretical advancements are well reviewed and synthesised, this is not the case for practice. We present a synthesis of models and methods applied in present European Kidney Exchange Programmes, which is based on detailed descriptions we created for this purpose. Most descriptions address national programmes, yet we also present findings on emerging cross-national programmes. The synthesis provides a systematic and detailed description of the models and methods the programmes use, revealing important commonalities as well as considerable variation among them. Rather than distilling a single best practice from these results, we find that the variation in models and methods arises because of variation in country characteristics, policies, and ethics. The synthesised state of the art may benefit future national and cross-national initiatives and direct future theoretical contributions within and across the boundaries of the Operations Research discipline. © 2019

Teses
supervisionadas

2021

In situ real-time Zooplankton Detection and Classification

Autor
PEDRO NUNO DE QUEIRÓS SALCEDAS DE CARVALHO GERALDES

Instituição
IPP-ISEP

2019

A data-driven compensation scheme for last-mile delivery with crowdsourcing

Autor
Miguel Moreira da Silva Lima Barbosa

Instituição
UP-FCUP

2018

ANÁLISE DA REDE LOGÍSTICA E POLÍTICAS DE APROVISIONAMENTO NUMA EMPRESA DE DISTRIBUIÇÃO DE CONTADORES ELÉTRICOS

Autor
VÍTOR NETO MAGALHÃES

Instituição
IPP-ISEP

2017

Análise e Proposta de Melhorias do Pipeline de processamento do wiiGO

Autor
PEDRO MANUEL DA SILVA RIBEIRO

Instituição
IPP-ISEP

2015

Desenvolvimento de Sequenciador para um Problema de Roteamento de Veículos

Autor
HÉLDER FILIPE DE CASTRO PINHEIRO

Instituição
IPP-ISEP