FRANCISCO DE SOUSA RAMOS

Dr. FRANCISCO DE SOUSA RAMOS

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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2014 in Transportation Research Part A: Policy and Practice
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ACAlexandra Maria Rios Cabral
Alexandra Maria Rios Cabral
FRFRANCISCO DE SOUSA RAMOS
FRANCISCO DE SOUSA RAMOS

1 December 2012 in Revista de Economia Contemporânea
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ECEdward Martins Costa
Edward Martins Costa
HSHermínio Ramos de Souza
Hermínio Ramos de Souza
FRFRANCISCO DE SOUSA RAMOS
FRANCISCO DE SOUSA RAMOS
JSJorge Luiz Mariano da Silva
Jorge Luiz Mariano da Silva
Este trabalho tem como objetivo mensurar a eficiência educacional do ensino superior no Brasil, no período de 2004 a 2008, com ênfase nas Instituições Federais de Ensino Superior (IFES). Para tal propósito, mensuraram-se os escores da eficiência educacional por meio da análise de dados DEA-SBM. Procurou-se considerar os indicadores de gestão educacional das próprias instituições observando-as em dois subconjuntos: o grupo A, contendo 28 instituições; e um grupo B, com 21. Os resultados apontaram, em todos os períodos avaliados, níveis elevados de eficiência educacional. As causas da ineficiência da produção educacional das IFES variaram de acordo com os grupos analisados; por exemplo, para a maioria das IFES do grupo A, o elevado número de alunos por professores e o aumento do custo por aluno foram causas de ineficiência. Já para as IFES do grupo B, os fatores que mais comprometeram a eficiência foram o elevado número de alunos por professores e por funcionários, e o índice de qualificação do corpo docente. Ademais, a baixa taxa de sucesso nos cursos de graduação e do conceito CAPES-MEC, dos cursos de pós-graduação, representaram fatores de ineficiência das IFES.

28 February 2024 in Mathematics
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LTLívia Torres
Lívia Torres
FRFRANCISCO DE SOUSA RAMOS
FRANCISCO DE SOUSA RAMOS
Shared resources are common among supply chain partners and also occur in multiple linked stages of an internal network. The sharing of these resources impacts the organization’s profits. This study is focused on the potential benefits of resource sharing on a three-stage network system and on the profit improvement allocation. Previous treatments concentrate on defining optimal proportions to allocate resources and disregard the impacts of allocations to promote cooperation and are limited to static evaluations. Data Envelopment Analysis performs the decision-making units (DMUs) efficiency measurement. Methodological advances have resulted in models that analyze their internal structure and temporal impacts on efficiency. We propose an integrated cooperative game and dynamic network DEA that considers known quantities of resources used in each stage and the time effects to optimize the system’s profit. Each DMU stage is a player, and we investigate performance before and after resource sharing. Using Shapley value and Nucleolus, it is possible to allocate the benefits obtained based on the marginal contributions of each stage, providing incentives to motivate and maintain cooperation. A numerical example is used to illustrate the method. The results confirm the identification of inefficient DMUs and that sharing resources allows for profit increase for all of them.

1 May 2004 in Brazilian Review of Econometrics
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CGCarlos Eduardo Gasparini
Carlos Eduardo Gasparini
FRFRANCISCO DE SOUSA RAMOS
FRANCISCO DE SOUSA RAMOS
Relative deficit of health services in Brazilian states and regions

15 March 2018 in The Central European Review of Economics and Management
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ACAlexandra Maria Rios Cabral
Alexandra Maria Rios Cabral
FRFRANCISCO DE SOUSA RAMOS
FRANCISCO DE SOUSA RAMOS
Aim: This study aims to evaluate the technical efficiency of 44 Brazilian port terminals that handled containers in 2016. The evaluation will first proceed by identifying the main benchmarks. It will then provide an analysis of variables that may have an effect on technical efficiency as well as the nature of their relationship with the latter--namely: container movement and specialized terminals. Design / Research methods: In this work we apply the techniques of Data Envelopment Analysis and Free Disposal Hull. Output-oriented models were constructed, using three inputs - berth depth, berth length and number of berths, and three outputs - number of containers handled, medium board measured in container handled per hour of mooring, and medium consignment rate measured in container throughput per ship. Conclusions / findings: The main results show that half of the terminals have an inefficient infrastructure, with capacity larger than necessary to meet current demand for transportation of containers. In addition, there is a strong relationship between the efficiency and size of a terminal port and between the efficiency and degree of specialization. Moreover, the private use terminal of (TUP) Itacal and public quay OCRIM can serve as benchmarks for most of the terminals. Originality / value of the article: Relatively few works in the literature tried to measure technical efficiency for developing countries. Besides that, none of the works found regarding Brazilian ports have shown the scenario after promulgation of the Port’s Law in 2013, and only a few used container cargo as focus. This article is of interest for scientists of the sector, exporters/importers, and Brazilian Government officers interested in observing the effects of public policies aimed at the sector. We also suggest future work concerning the sector's improvements which can follow from our findings.