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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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Publications

2021

Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index

Authors
Camanho, AS; Varriale, L; Barbosa, F; Sobral, T;

Publication
European Journal of Operational Research

Abstract
This paper investigates the relationship between students’ performance and the type of school attended during upper secondary education. The performance of three different types of schools (Liceo, Technical and Professional schools) in four Italian macroregions (North West, North East, Centre, South & Islands) is investigated. A benchmarking analysis of the variability in students’ performance among regions (within macroregions) for cohorts of students attending Liceo is also conducted. The data was collected at the student level from the Italian Institute for the Evaluation of Education System (INVALSI), for the academic year 2017/18. Families with higher socio-economic status may self-select into Liceo, so a direct comparison with vocational schools could lead to biased conclusions regarding the impact of school type on student performance. To overcome this limitation, we used a Propensity Score Matching approach prior to the estimation of efficiency. A pseudo-Malmquist index, based on a metafrontier and satisfying the circular property, is developed. It enables comparing the location of the best-practice frontier for each type of school and the spread in the educational efficiency of the students attending each type of school. Thus, best performance of a given school type corresponds to the combined effect of these two aspects. This study is an interesting starting point to challenge the stereotypes that persist in Italy, especially concerning general and vocational studies and geographic differences in educational achievements. © 2020 Elsevier B.V.

2020

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.

2020

Solving the grocery backroom sizing problem

Authors
Pires, M; Camanho, A; Amorim, P;

Publication
International Journal of Production Research

Abstract
Backrooms are an important echelon of the retail supply chain. However, research focus has been mostly targeted to optimise both distribution centres and stores' sales area. In this paper, we propose two mathematical programming formulations to solve the grocery backroom sizing problem. This problem consists of determining the dimension of each storage department in the backroom area to optimise its overall efficiency. The first formulation is a bottom-up approach that aims to reduce the backroom life-cycle costs by determining the optimum floor space and storage height for each department. The second is a top-down approach based on Data Envelopment Analysis (DEA), which determines the efficient level of storage floor space for each backroom department, based on a comparison with the benchmarks observed among existing stores. Each approach has distinct characteristics that turn the models suitable for different retail contexts. We also describe the application of the proposed approaches to a case study of a European retailer. The application of this methodology in the design process demonstrated substantial potential for space savings (6% for the bottom-up model and 16% for the top-down model). This space reduction should either allow higher revenues in the sales area and/or lower backroom-related costs. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

2020

Benchmarking of secondary schools based on Students’ results in higher education

Authors
Silva, MCA; Camanho, AS; Barbosa, F;

Publication
Omega (United Kingdom)

Abstract
The performance of secondary schools is usually assessed based on students’ results on national exams at the end of secondary education. This research uses data on academic achievements by first-year university students to benchmark secondary schools on their ability to lead students to success in higher education. The analysis is conducted using data of University of Porto and Catholic University of Porto, Portugal, for a three-year period, corresponding to more than 10.000 students from 65 degrees, for which the school of origin is known. A number of variables representing students’ success in Higher education were constructed for each school in our sample and aggregated through a Benefit of the Doubt indicator. Results suggest that the schools’ ranking based on schools’ ability to prepare students for university success is quite different from the ranking based on results on national exams. Given these findings, we propose complementing schools’ performance assessments (traditionally based on national exam results or indicators of value added) with indicators that account for the preparation of students for success in future challenges, which is indisputably a key objective of secondary education. We propose a composite indicator for the analysis of these complementary aims as well, and results show that frontier units indeed exhibit trade offs between traditional measures of performance and our new measure of performance. © 2019 Elsevier Ltd

2020

Identifying Relevant Transfer-Connections from Entry-Only Automatic Fare Collection Data: The Case Study of Porto

Authors
Hora, J; Galvão, T; Camanho, A;

Publication
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Abstract
The synchronization of Public Transportation (PT) systems usually considers a simplified network to optimize the flows of passengers at the principal axes of the network. This work aims to identify the most relevant transfer-connections in a PT network. This goal is pursued with the development of a methodology to identify relevant transfer-connections from entry-only Automatic Fare Collection (AFC) data. The methodology has three main steps: the implementation of the Trip-Chaining-Method (TCM) to estimate the alighting stops of each AFC record, the identification of transfers, and finally, the selection of relevant transfer-connections. The adequacy of the methodology was demonstrated with its implementation to the case study of Porto. This methodology can also be applied to PT systems using entry-exit AFC data, and in that case, the TCM would not be required. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Supervised
thesis

2020

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

Author
Joana Maria Ferreira Alvura da Hora

Institution
UP-FEUP

2020

A Buy-and-Build Strategy in the Services Industry

Author
Bernardo Canedo Gomes

Institution
UP-FEUP

2020

Computer Vision enhanced by Deep Learning for Fashion Products Measurement

Author
Bruno Miguel Rocha Teixeira

Institution
UP-FEUP

2020

Open Innovation: the relationship between Startups, Accelerators and Corporates

Author
Francisco Belo Veiga de Macedo

Institution
UP-FEUP

2020

A Sustainable and Optimized Biofuel Supply Chain for Portugal Mainland

Author
Alda Almendra Henriques

Institution
UP-FEUP