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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

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.

2019

The performance of education systems in the light of Europe 2020 strategy

Authors
Stumbriene, D; Camanho, AS; Jakaitiene, A;

Publication
Annals of Operations Research

Abstract
The performance evaluation of education systems is at the top of the agenda of governments and education authorities worldwide. However, research involving cross-country comparisons of the performance of education systems is still incipient. This paper proposes a new composite indicator to summarise the performance of education systems, enabling benchmarking comparisons and the definition of objectives for improvement. The research analyses different modelling alternatives for the construction of composite indicators, with varying degrees of weight flexibility. Our study uses annual data of 29 European countries, collected from Eurostat and the Organisation for Economic Co-operation and Development databases. The results obtained in terms of performance scores and country rankings are presented and their managerial implications are discussed. We conclude that composite indicators estimated using frontier techniques can support the transition from the paradigm of performance assessment (control) to performance management (improvement). © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

2019

The use of frontier techniques to identify efficient solutions for the Berth Allocation Problem solved with a hybrid evolutionary algorithm

Authors
Barbosa, F; Berbert Rampazzo, PCB; Yamakami, A; Camanho, AS;

Publication
COMPUTERS & OPERATIONS RESEARCH

Abstract
The search for logistics best-practices in international trade has led to the appearance of the Berth Allocation Problem. If the vessels have release dates, the problem is proved to be NP-hard and the performance of exact algorithms is not satisfactory, leading to the use of metaheuristics. This paper develops a Hybrid Evolutionary Algorithm for the discrete and dynamic Berth Allocation Problem. A challenge of using Genetic Algorithms is the identification of the best approach to model a specific problem. This paper proposes the use of frontier techniques (Data Envelopment Analysis and Free Disposal Hull models) to compare the performances of alternative specifications of the parameters for the algorithm proposed and to identify efficient solutions.

2019

The assessment of corporate social responsibility: The construction of an industry ranking and identification of potential for improvement

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

Publication
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Abstract
This paper proposes an innovative composite indicator to evaluate Corporate Social Responsibility (CSR). The methodology proposed involves two stages. The first stage specifies an optimization model, based on Directional Distance Functions, to obtain a relative measure of CSR at the firm level that can guide performance improvements. This model allows distinguishing the firms with best practices from those with potential for improvement and can suggest targets for future achievements. In the second stage, a goal programming model is proposed to identify a common set of weights for the key performance indicators, enabling the evaluation of all firms on common grounds. These weights are used to construct an industry ranking, which is based on the distance of firms to a common frontier of technology that respects the trade-offs determined for the industry. An illustrative application of the method proposed is presented at the end of the paper. The indicators considered in the evaluation were selected according to international standards and guidelines applicable to mining firms. All dimensions of the Triple Bottom Line (economic, environmental and social) were taken into account. The results and their managerial implications are discussed with the objective of promoting the awareness of CSR levels in the mining activity, supporting the sustainable development of industrial activities.

2019

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
This paper proposes an innovative composite indicator to evaluate Corporate Social Responsibility (CSR). The methodology proposed involves two stages. The first stage specifies an optimization model, based on Directional Distance Functions, to obtain a relative measure of CSR at the firm level that can guide performance improvements. This model allows distinguishing the firms with best practices from those with potential for improvement and can suggest targets for future achievements. In the second stage, a goal programming model is proposed to identify a common set of weights for the key performance indicators, enabling the evaluation of all firms on common grounds. These weights are used to construct an industry ranking, which is based on the distance of firms to a common frontier of technology that respects the trade-offs determined for the industry. An illustrative application of the method proposed is presented at the end of the paper. The indicators considered in the evaluation were selected according to international standards and guidelines applicable to mining firms. All dimensions of the Triple Bottom Line (economic, environmental and social) were taken into account. The results and their managerial implications are discussed with the objective of promoting the awareness of CSR levels in the mining activity, supporting the sustainable development of industrial activities. © 2018 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