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About

Adelaide Cerveira received the B.Sc. degree in Mathematics- Operations Research branch from the University of Coimbra, Coimbra, Portugal, in 1993, the M.Sc. degree in Operations Research from the University of Lisbon, Lisbon, Portugal, in 1998, and the Ph.D. degree in Statistics and Operations Research from the University of Lisbon, Lisbon, Portugal, in 2006.

She is currently an Auxiliary Professor in Mathematics Department of Science and Technology School with UTAD.

Her current research interests include combinatorial optimization and applications, especially on forest management and Network Design. Her past research also includes Semidefinite Programming and applications to Structural Design.

Interest
Topics
Details

Details

  • Name

    Adelaide Cerveira
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st May 2015
Publications

2019

Statistical Study of Curing Conditions in Alkali Activation of Mine Tailings

Authors
Correia, E; Cerveira, A; Fernández-Jiménez, A; Coelho, J; Miranda, T; Castro, F; Cristelo, N;

Publication
Environmental Geotechnics

Abstract

2019

Size–Density Trajectory in Regenerated Maritime Pine Stands after Fire

Authors
Enes, T; Lousada, J; Aranha, J; Cerveira, A; Alegria, C; Fonseca, T;

Publication
Forests

Abstract
Research Highlights: This study bridges a gap of knowledge about the maximum size–density trajectory for juvenile stands of maritime pine. The continuity of the trajectory along the development stages to maturity is assured with a straightforward approach providing support to determine optimum density along all the revolution periods for the species. Background and Objectives: Forest fire is a significant threat to forests in the Mediterranean regions, but also a natural disturbance that plays a vital role in the perpetuation of forest stands. In recent decades, there has been an increase of burnt area in maritime forests in Portugal, followed by an increased interest in managing the natural and usually abundant regeneration occurring after the fires. The gap in the knowledge of growth dynamics for juvenile stages, for these forest systems, currently constrains their correct management, for forest planning, particularly in determining the optimal densities. The study aims to identify the maximum attainable density trajectory at the early stages of development of the species that could support a non-empirical definition of silvicultural prescriptions and thinning decisions, along the revolution. Materials and Methods: A representative data set collected in stands regenerated after fire supports the analysis of the maximum size–density trajectory for the species. Results: The maximum size–density trajectory for the juvenile stands deviates from the expected trajectory defined in the self-thinning line published for the species. Significant deviation occurs at the lower end of the line, indicating the need for a reevaluation of the existing self-thinning line. We propose a new self-thinning model for the species that explicitly considers the behavior of size–density for juvenile stands. The new model assures a logical continuity for the trajectory from the young stages of development to maturity. Conclusions: The proposed model based on the maximum attainable size–density trajectory provides ecological-based support to define silvicultural guidelines for management of the species.

2019

Logistic Operations in a Hospital: A Multi-item Inventory Distribution Problem with Heterogeneous Fleet

Authors
Agra, A; Cerveira, A; Requejo, C;

Publication
Pharmaceutical Supply Chains - Medicines Shortages - Lecture Notes in Logistics

Abstract

2018

Wine productivity per farm size: a maximum entropy application

Authors
Galindro, A; Santos, M; Santos, C; Marta Costa, A; Matias, J; Cerveira, A;

Publication
Wine Economics and Policy

Abstract

2018

A climate index proposal for the wine sector: A descriptive statistical approach

Authors
Galindro, A; Marta Costa, AA; Cerveira, A; Matias, J;

Publication
E3S Web of Conferences

Abstract
Understanding the role of the climate on the wine production is one of the major concerns of this sector since the environment usually determines the output of this industry. There are only a few previous studies that attempted to compile these environmental effects as an index, usually considering the temperature and the precipitation as their core variables. The present study suggests a new climate index which is based on descriptive statistics. Our index tries to mimic the target region characteristics and avoid the past studies premise of imposing previously conceived restrictions such as a fixed optimal climate. We then used yearly production and daily temperature data (1950-2016) from the Portuguese Minho wine region to test our proposed index and compare it with Ribéreau-Gayon and Peynaud (RGP, Ribéreau-Gayon et al., 2003) and Growing Degree-Days (GDD, Winkler et al., 1974) indexes. Our results showed that the newly proposed index may outperform the explanatory power of the other indexes and, in addition, may output interesting and unknown characteristics such as the different ideal temperatures regarding the studied region. © The Authors, published by EDP Sciences, 2018.

Supervised
thesis

2017

Otimização do abastecimento interno do Centro Hospitalar de Trás-os-Montes e Alto Douro, EPE

Author
Javier Alvarez da Rocha

Institution
UTAD

2017

Sistemas de Suporte à Decisão Aplicados à Gestão Florestal Sustentável em Povoamentos de Pinus pinaster Ait.

Author
Paulo Daniel Monteiro Costa

Institution
UTAD

2016

Sistemas de Suporte à Decisão Aplicados à Gestão Florestal Sustentável em Povoamentos de Pinus pinaster Ait.

Author
Paulo Daniel Monteiro Costa

Institution
UTAD

2016

Otimização do abastecimento interno do Centro Hospitalar de Trás-os-Montes e Alto Douro, EPE

Author
Javier Alvarez da Rocha

Institution
UTAD

2015

Ecologia e relação diâmetro-densidade em povoamentos sobreiro (Quercus Suber L.)

Author
Luísa Raquel Ribeiro Monteiro

Institution
UTAD