Cookies
Usamos cookies para melhorar nosso site e a sua experiência. Ao continuar a navegar no site, você aceita a nossa política de cookies. Ver mais
Fechar
  • Menu
Sobre

Sobre

Professora associada com Agregação da Faculdade de Engenharia da Universidade do Porto (FEUP). Licenciada em Engenharia e Gestão Industrial pela FEUP (1995). Doutorada em Industrial and Business Studies pela Warwick Business School, Reino Unido (1999). A área de investigação principal é a Investigação Operacional, com ênfase no desenvolvimento de modelos de avaliação de eficiência e evolução da produtividade com recurso à Técnica de Data Envelopment Analysis. É diretora do Mestrado Integrado em Engenharia Industrial e Gestão da FEUP e Membro do Conselho Pedagógico da FEUP. É autora de mais de 50 artigos em revistas internacionais (ISI) com revisão, na área das ciências da gestão. Tem estado envolvida em projetos de investigação nas seguintes áreas: banca, pescas, educação, saúde, transportes, retalho, indústria de construção, indústria da mineração, Responsabilidade Social Corporativa, qualidade de vida e sustentabilidade de países e cidades.

Tópicos
de interesse
Detalhes

Detalhes

001
Publicações

2019

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

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

Publicação
European Journal of Operational Research

Abstract

2019

Performance Evaluation of European Power Systems

Autores
Couto, M; Camanho, A;

Publicação
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

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

Publicação
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

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

Publicação
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

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

Publicação
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.

Teses
supervisionadas

2017

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

Autor
Renata Melo e Silva de Oliveira

Instituição
UP-FEUP

2017

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

Autor
Joana Maria Ferreira Alvura da Hora Martins

Instituição
UP-FEUP

2017

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

Autor
Carolina Lima Aparício

Instituição
UP-FEUP

2017

Melhoria de desempenho no mercado pós-venda automóvel

Autor
Miguel Ângelo Pacheco Faria

Instituição
UP-FEUP

2017

Otimização das Operações Logísticas num Armazém Grossista

Autor
Tiago Alexandre de Abreu e Silva

Instituição
UP-FEUP