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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.

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Details

Details

001
Publications

2019

Performance Evaluation of European Power Systems

Authors
Couto, M; Camanho, A;

Publication
Springer Proceedings in Mathematics and Statistics

Abstract
Electric power systems are facing significant challenges regarding their organization and structure. Energy infrastructures are crucial to ensure a transition to low-carbon societies, contributing to sustainable development. This paper uses Data Envelopment Analysis to compare the performance of the power systems in 16 European countries using data available to the public. Three perspectives were considered, focusing on technical aspects affecting quality of service, network costs and environmental impact. It is proposed a new formulation of the DEA model that estimates a composite indicator (CI) aggregating individual indicators which should be minimized. The benchmarking results can give insights to electric operators, regulators and decision-makers on the strengths and weakness of national power systems and disclose the potential for performance improvements. Based on the outcomes from the CI model, Austria, Croatia, Denmark, Germany, Greece, Ireland, Italy and Netherlands are identified as the benchmarks for the power systems in the Europe. The discussion of the results is intended to raise public awareness on the performance of the European power systems and contribute to the definition of public policies for the promotion of continuous improvement. © 2019, Springer Nature Switzerland AG.

2018

The use of composite indicators to evaluate the performance of Brazilian hydropower plants

Authors
Calabria, FA; Camanho, AS; Zanella, A;

Publication
International Transactions in Operational Research

Abstract
This paper investigates the performance of the largest Brazilian hydropower plants. This study covers 78% of the total installed capacity from hydros in the country, and considers indicators reflecting operational and maintenance costs as well as quality of service. The assessment was conducted using a new approach for the construction of composite indicators, based on a directional distance function model. First, we assessed the hydropower plants allowing for complete flexibility in the definition of weights, enabling the identification of underperforming plants, and quantification of their potential for improvement. Next, we assessed the plants considering different perspectives regarding the importance attributed to each indicator. This allowed reflecting different points of view, focusing primarily on operation and maintenance costs or quality issues. The results identify the hydropower plants that can be considered benchmarks in different scenarios, and allow testing the robustness of plants' classification as benchmarks in the unrestricted model. © 2016 The Authors.

2018

The Assessment of Corporate Social Responsibility: the construction of an industry ranking and identification of potential for improvement

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

Publication
European Journal of Operational Research

Abstract

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.

Supervised
thesis

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

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