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About

Associate Professor of the Faculty of Engineering of the University of Porto (FEUP). Degree in Industrial Engineering and Management from FEUP (1995). PhD in Industrial and Business Studies from Warwick Business School, UK (1999). The main research area is Operational Research, with emphasis on the development of efficiency and productivity change models using the Data Envelopment Analysis Technique. Director of the Integrated Master in Industrial Engineering and Management of FEUP and Member of the Pedagogical Council of FEUP. She is the author of more than 50 articles in international journals (ISI) with revision, in the area of management science. She has been involved in research projects in the following areas: banking, fisheries, education, health, transport, retail, construction industry, mining industry, Corporate Social Responsibility, quality of life and sustainability of countries and cities.

Interest
Topics
Details

Details

Publications

2017

Predicting direct marketing response in banking: comparison of class imbalance methods

Authors
Migueis, VL; Camanho, AS; Borges, J;

Publication
SERVICE BUSINESS

Abstract
Customers' response is an important topic in direct marketing. This study proposes a data mining response model supported by random forests to support the definition of target customers for banking campaigns. Class imbalance is a typical problem in telemarketing that can affect the performance of the data mining techniques. This study also contributes to the literature by exploring the use of class imbalance methods in the banking context. The performance of an undersampling method (the EasyEnsemble algorithm) is compared with that of an oversampling method (the Synthetic Minority Oversampling Technique) in order to determine the most appropriate specification. The importance of the attribute features included in the response model is also explored. In particular, discriminative performance was enhanced by the inclusion of demographic information, contact details and socio-economic features. Random forests, supported by an undersampling algorithm, presented very high prediction performance, outperforming the other techniques explored.

2017

Expanded eco-efficiency assessment of large mining firms

Authors
Oliveira, R; Camanho, AS; Zanella, A;

Publication
JOURNAL OF CLEANER PRODUCTION

Abstract
Assessing eco-efficiency of companies is important to ensure the creation of wealth without compromising the needs of future generations. This work aims to extend the eco-efficiency concept by including in the assessment new features related to environmental benefits and environmental burdens. This concept is implemented using an innovative Directional Distance Function model, which searches for improvements in the magnitude of the indicators and in the composition of the resources consumed. This framework can help firms to become more sustainable by replacing non-renewable inputs with "greener" alternatives. We present an empirical application to large mining companies. Different scenarios regarding managerial priorities for adjustments to firms' economic and environmental indicators are explored. The results obtained and their managerial implications are discussed in the context of mining firms activity.

2017

Exploring the relationship between corruption and health care services, education services and standard of living

Authors
Morais, P; Migueis, VL; Camanho, A;

Publication
Lecture Notes in Business Information Processing

Abstract
Understanding the impact of corruption in modern societies, namely in standard of living, health and education services, is an issue that has attracted increased attention in recent years. This paper examines the relationship between the Corruption Perception Index (CPI) provided by Transparency International and the Human Development Index (HDI) of the United Nations Development Program and its components. The analysis is done for clusters of countries with similar levels of development. For the countries with high levels of development, it was found a negative relationship between corruption and human development. Moreover, for these countries, higher corruption levels are related to poor health care services, poor education services and low standard of living. For the other clusters of countries, these relationships were not statistically significant. The results obtained reinforce the importance of efforts by international politicians and organizations in fighting corruption, particularly in highly developed countries, to promote development. © Springer International Publishing AG 2017.

2017

Forecasting bivalve landings with multiple regression and data mining techniques: The case of the Portuguese Artisanal Dredge Fleet

Authors
Oliveira, MM; Camanho, AS; Walden, JB; Migueis, VL; Ferreira, NB; Gaspar, MB;

Publication
MARINE POLICY

Abstract
This paper develops a decision support tool that can help fishery authorities to forecast bivalve landings for the dredge fleet accounting for several contextual conditions. These include weather conditions, phytotoxins episodes, stock-biomass indicators per species and tourism levels. Vessel characteristics and fishing effort are also taken into account for the estimation of landings. The relationship between these factors and monthly quantities landed per vessel is explored using multiple linear regression models and data mining techniques (random forests, support vector machines and neural networks). The models are specified for different regions in the Portugal mainland (Northwest, Southwest and South) using six years of data 2010-2015). Results showed that the impact of the contextual factors varies between regions and also depends on the vessels target species. The data mining techniques, namely the random forests, proved to be a robust decision support tool in this context, outperforming the predictive performance of the most popular technique used in this context, i.e. linear regression.

2017

Estimation of Origin-Destination matrices under Automatic Fare Collection: The case study of Porto transportation system

Authors
Hora, J; Dias, TG; Camanho, A; Sobral, T;

Publication
Transportation Research Procedia

Abstract
Entry-only Automatic Fare Collection (AFC) systems are widely used in urban transports. Its main advantages include easy usability by passengers, improvement of the efficiency of revenue management, adequacy to integrate inter-modality approaches, easy cooperation between operators, systematic data collection and gathering tools, contributing to improve the planning process. This work starts with the literature review on applications of the Trip-Chaining Method (TCM) to the estimation of Origin-Destination (OD) matrices using entry-only AFC data. The main contribution of this study is to provide an OD matrix for the city of Porto, allowing to improve the quality of its public transport system. The paper reports the implementation of the TCM to estimate the alighting locations at the disaggregated level in the case study of Porto. The main assumptions adopted are: passengers start the next journey stage at or near the alighting location of their previous trip, passengers end the last trip of the day at the boarding location of the first trip of the day, passengers can only alight in the sequence of stops not yet traveled by the route / direction they boarded, passengers have a maximum interchange distance, above which the destination of that journey stage is not inferred. © 2017 The Authors. Published by Elsevier B.V.

Supervised
thesis

2017

The assessment of Corporate Social Responsibility in the mining sector using Data Envelopment Analysis

Author
Renata Melo e Silva de Oliveira

Institution
UP-FEUP

2017

Mitigating impacts from unforeseen events by optimizing robustness in urban trnasportation systems

Author
Joana Maria Ferreira Alvura da Hora Martins

Institution
UP-FEUP

2017

Aplicação de métodos lean na melhoria do desempenho da cadeia de abastecimento

Author
Carolina Lima Aparício

Institution
UP-FEUP

2017

Melhoria de desempenho no mercado pós-venda automóvel

Author
Miguel Ângelo Pacheco Faria

Institution
UP-FEUP

2017

Otimização das Operações Logísticas num Armazém Grossista

Author
Tiago Alexandre de Abreu e Silva

Institution
UP-FEUP