[ABE-L] [Convite] Seminário PGEST (UFPE) - Obtaining Efficient Solutions for Port Operations Problems

[THYAGO CELSO CAVALCANTE NEPOMUCENO]

O Programa de Pós-graduação em Estatística da Universidade Federal de
Pernambuco tem a satisfaçã de convidar a comunidade acadêmica para o
seminário da Profa. Dra. Flávia Barbosa, docente no Departamento de
Engenharia e Gestão Industrial da Universidade do Porto e Instituto de
Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC -TEC) em
Portugal, que ocorrerá próxima quarta-feira, dia 10/04/2024, às 14:00h, de
maneira remota, com o tema "Obtaining Efficient Solutions for Port
Operations Problems". Informações sobre a palestra podem ser consultadas
abaixo.

*Seminário - Prof. Flávia Barbosa (Universidade do Porto)*
*Data*: Quarta-feira, 10 de abril · 2:00pm até 4:00pm (Fuso horário:
America/Recife)
*Título*: Obtaining Efficient Solutions for Port Operations Problems
*Resumo*: The search for logistics best-practices in international trade
has led to the appearance of the problems to optimize port operations. The
problem is usually computationally complex, leading to the use of
metaheuristics. This work 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. Therefore, this work proposes the use of frontier techniques to
compare the performances of alternative specifications of the parameters
for the algorithm proposed and to identify efficient solutions.
*Link da videochamada*: https://meet.google.com/ysu-wdei-rir
Ou disque: ‪(BR) +55 31 3958-9586‬ PIN: ‪849 636 713‬#
Outros números de telefone: https://tel.meet/ysu-wdei-rir?pin=9531921356541


Atenciosamente,

-- 
Thyago Nepomuceno

Professor Adjunto - Departamento de Estatística - CCEN - Universidade
Federal de Pernambuco
Vice-coordenador do Programa de Pós-graduação em Estatística - Universidade
Federal de Pernambuco
Bolsista de Produtividade em Pesquisa PQ2 - Conselho Nacional de Des.
Científico e Tecnológico (CNPq)
Research Fellow - Department of Computer, Control, and Management
Engineering - Sapienza University of Rome
Editor in chief of Socioeconomic Analytics
Contatos: thyago.nepomuceno em ufpe.br; nepomuceno em diag.uniroma1.it
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Recent publications: MCDA Distance Functions (DEA)
<https://doi.org/10.1016/j.omega.2024.103044>, Panel Data Envelopment
Analysis (DEA) <https://doi.org/10.1108/IJSE-11-2022-0767>, Maritime
Transportation Efficiency (DEA)
<http://dx.doi.org/10.1080/03088839.2023.2252431>, Knowledge Benchmarking
(DEA) <https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12967>, Webpage
Performance (DEA) <http://dx.doi.org/10.3390/data8080134>, Systematic
Reviews as a Metaknowledge (Bibliometrics)
<https://onlinelibrary.wiley.com/doi/10.1111/itor.13309>, Information
Security (Bibliometrics) <http://dx.doi.org/10.3390/fi15120393>, State of
the Art on DEA (Bibliometrics)
<https://doi.org/10.1504/IJOR.2023.129960>, Review
of Hospitals' Efficiency (Bibliometrics)
<https://www.mdpi.com/2227-9032/10/7/1316>, Innovation Hubs (MCDA)
<http://dx.doi.org/10.3390/info14030169>, Relational Governance (ITO)
<http://dx.doi.org/10.1108/ARLA-10-2022-0182>, Bedouin Syndrome
(Econometrics) <https://www.mdpi.com/1660-4601/19/15/9711>, COVID-19
Mobility Impact (Econometrics)
<http://www.aimspress.com/article/doi/10.3934/mbe.2022332>.
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<http://lattes.cnpq.br/4815452948320665>
<https://orcid.org/0000-0001-8327-6472>
<https://www.researchgate.net/profile/Thyago-Nepomuceno-2>
<https://www.linkedin.com/in/thyago-nepomuceno-78a08a42/>
<https://scholar.google.com.br/citations?user=xvNP0ioAAAAJ&hl=pt-BR&oi=ao>
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<https://www.ufpe.br/caa> <https://www.ufpe.br/ccen>
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