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122 results on '"Costa, Igor Pinheiro de Araújo"'

1. Risk Analysis Related to the Corrosıon of Atmospheric Storage Tanks: A Multimethodological Approach Using the FRAM and the ELECTRE-MOr Methods

Author

Moreıra, Érıck Pınto, Costa, Igor Pınheıro de Araújo, Maınıer, Fernando Benedıcto, Gomes, Carlos Francısco Sımões, dos Santos, Marcos, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ranganathan, G., editor, Bestak, Robert, editor, and Fernando, Xavier, editor

Published
2023
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2. Governance Applicable to Public Organizations: An Analysis based on the Multicriteria Method (MCDM) Parsimonious AHP (PAHP) under the perspective of the Leadership Mechanism in the light of the Union Court of Audits (TCU)

Author

Júnior, Enderson Luiz Pereira, Morreira, Miguel Ângelo Lellis, Gomes, Carlos Francisco Simões, Santos, Marcos dos, Costa, Arthur Pinheiro de Araújo, Chagas, Stephanye dos Santos Sbano, Costa, Igor Pinheiro de Araújo, and Kojima, Emerson Hissao

Published
2023
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10. Study of the Location of a Second Fleet for the Brazilian Navy: Structuring and Mathematical Modeling Using SAPEVO-M and VIKOR Methods

Author

de Almeida, Isaque David Pereira, Corriça, José Victor de Pina, Costa, Arthur Pinheiro de Araújo, Costa, Igor Pinheiro de Araújo, Maêda, Sérgio Mitihiro do Nascimento, Gomes, Carlos Francisco Simões, dos Santos, Marcos, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Rossit, Daniel Alejandro, editor, Tohmé, Fernando, editor, and Mejía Delgadillo, Gonzalo, editor

Published
2021
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27. The SAPEVO-M-NC Method

Author

Maêda, Sérgio Mitihiro do Nascimento, primary, Basílio, Marcio Pereira, additional, Costa, Igor Pinheiro de Araújo, additional, Moreira, Miguel Ângelo Lellis, additional, dos Santos, Marcos, additional, and Gomes, Carlos Francisco Simões, additional

Published
2021
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29. Investments in Times of Pandemics: An Approach by the SAPEVO-M-NC Method

Author

Maêda, Sérgio Mitihiro do Nascimento, primary, Basílio, Marcio Pereira, additional, Costa, Igor Pinheiro de Araújo, additional, Moreira, Miguel Ângelo Lellis, additional, dos Santos, Marcos, additional, Gomes, Carlos Francisco Simões, additional, de Almeida, Isaque David Pereira, additional, and Costa, Arthur Pinheiro de Araújo, additional

Published
2021
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34. SAPEVO-PC: Integrating Multi-Criteria Decision-Making and Machine Learning to Evaluate Navy Ships.

Author

Costa, Igor Pinheiro de Araújo, Costa, Arthur Pinheiro de Araújo, Moreira, Miguel Ângelo Lellis, Castro Junior, Marcos Alexandre, Pereira, Daniel Augusto de Moura, Gomes, Carlos Francisco Simões, and Santos, Marcos dos

Subjects
MULTIPLE criteria decision making, PRINCIPAL components analysis, MARINE sciences, OPERATIONS research, DECISION making
Abstract

The selection of a navy ship is essential to guarantee a country's sovereignty, deterrence capabilities, and national security, especially in the face of possible conflicts and diplomatic instability. This paper proposes the integration of concepts related to multi-criteria decision making (MCDM) methodology and machine learning, creating the Simple Aggregation of Preferences Expressed by Ordinal Vectors—Principal Components (SAPEVO-PC) method. The proposed method proposes an evolution of the SAPEVO family, allowing the inclusion of qualitative preferences, and adds concepts from Principal Component Analysis (PCA), aiming to simplify the decision-making process, maintaining precision and reliability. We carried out a case study analyzing 32 warships and ten quantitative criteria, demonstrating the practical application and effectiveness of the method. The generated rankings reflected both subjective perceptions and the quantitative performance data of each ship. This innovative integration of qualitative data with a quantitative machine learning algorithm ensures comprehensive and robust analyses, facilitating informed and strategic decisions. The results showed a high degree of consistency and reliability, with the top and bottom rankings remaining stable across different decision-makers' perspectives. This study highlights the potential of SAPEVO-PC to improve decision-making efficiency in complex, multi-criteria environments, contributing to the field of marine science. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Study of the Location of a Second Fleet for the Brazilian Navy: Structuring and Mathematical Modeling Using SAPEVO-M and VIKOR Methods

Author

de Almeida, Isaque David Pereira, primary, Corriça, José Victor de Pina, additional, Costa, Arthur Pinheiro de Araújo, additional, Costa, Igor Pinheiro de Araújo, additional, Maêda, Sérgio Mitihiro do Nascimento, additional, Gomes, Carlos Francisco Simões, additional, and dos Santos, Marcos, additional

Published
2021
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39. Advancing Efficiency Sustainability in Poultry Farms through Data Envelopment Analysis in a Brazilian Production System.

Author

Marmelstein, Stefanni, Costa, Igor Pinheiro de Araújo, Terra, Adilson Vilarinho, Silva, Ricardo Franceli da, Capela, Gabriel Pereira de Oliveira, Moreira, Miguel Ângelo Lellis, Junior, Claudio de Souza Rocha, Gomes, Carlos Francisco Simões, and Santos, Marcos dos

Subjects
*DATA envelopment analysis, *POULTRY farms, *SUSTAINABLE agriculture, *POULTRY farming, *AGRICULTURE, *DECISION support systems
Abstract

Simple Summary: This research evaluates the production efficiency of broiler batches using the production efficiency factor and unit cost of production. Employing Data Envelopment Analysis (DEA), it considers variables like poultry housing, age at slaughter, feed consumed, mortality, and unit cost, with the total available weight as the output. Among 31 decision-making units (DMUs), only DMU 4 and DMU 23 approached maximum efficiency. Efficient DMUs serve as benchmarks for disseminating best practices to less efficient ones, enhancing overall efficiency and financial sustainability in poultry farming. This study highlights the significance of unit cost in evaluating production efficiency and proposes actionable insights for improving practices in the sector. The production efficiency factor is widely used to measure the zootechnical performance of a batch of broilers. The unit cost of production brings new elements to improve efficiency evaluation and financial sustainability for this activity in agriculture. This research aims to evaluate the production efficiency level of the crop to maximize the return on investment. This study uses Data Envelopment Analysis (DEA) with the computational processing of the SIAD software (Integrated Decision Support System). The variables selected were poultry housing, age at slaughter, feed consumed, mortality, and unit cost. The chosen output variable was the total available weight. The analysis spans 31 decision-making units (DMUs) composed of integrated producers, unveiling a frontier of efficiency delineated by the most exemplary DMUs. Notably, only two DMUs, specifically DMU 4 and DMU 23, approached the threshold of maximum relative efficiency. This research illuminates the critical role of unit cost in enhancing the assessment of production efficiency and financial sustainability within the agriculture environment. By setting benchmarks for efficient management and operational protocols, our findings serve as a cornerstone for improving practices among less efficient DMUs, contributing significantly to the literature on agricultural efficiency and offering actionable insights for the poultry farming sector. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Feasibility of a Hospital Information System for a Military Public Organization in the Light of the Multi-Criteria Analysis

Author

Pereira, Ruan Carlos Alves, primary, Moreira, Miguel Ângelo Lellis, additional, Costa, Igor Pinheiro de Araújo, additional, Tenório, Fabrício Maione, additional, Barud, Naia Augusto, additional, Fávero, Luiz Paulo, additional, Al-Qudah, Anas Ali, additional, Gomes, Carlos Francisco Simões, additional, and Santos, Marcos dos, additional

Published
2022
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48. Implementação computacional do método ELECTRE-MOr: uma ferramenta a serviço da meritocracia na avaliação dos militares das Forças Armadas brasileiras

Author

Costa, Igor Pinheiro de Araújo and Gomes, Carlos Francisco Simões

Subjects
Seleção de pessoal, Tomada de decisão, Apoio Multicritério à Decisão (AMD), Engenharia de produção, ELECTRE-MOr
Abstract

A seleção de pessoal está cada vez mais se mostrando um fator essencial para o sucesso das organizações. Essas questões envolvem quase universalmente múltiplos objetivos conflitantes, incertezas, custos e benefícios no processo de tomada de decisão. Nesse contexto, devido à natureza dos problemas de avaliação de pessoal, que incluem vários candidatos como alternativas, juntamente com vários critérios complexos de avaliação, esses tipos de problemas podem ser resolvidos pela aplicação de métodos de Apoio Multicritério à Decisão (AMD). No âmbito militar, a escolha de pessoal para missões ou promoção reveste-se de incerteza e subjetividade. Dessa maneira, configura-se o problema de pesquisa, expresso por meio da dificuldade em priorizar os militares das Forças Armadas (FFAA) brasileiras para cargos e promoções de uma forma transparente e justa. Para o entendimento e estruturação da situação problemática, foi aplicada a abordagem Value Focused Thinking (VFT), que proporcionou o estabelecimento de 4 critérios e 34 subcritérios, à luz dos quais foram avaliados 30 oficiais da Marinha do Brasil (MB). Para apoiar o processo de decisão no que tange à promoção de oficiais, foi aplicado o Elimination Et Choix Traduisant la Realité – Multicriteria Ordinal (ELECTRE-MOr), método de classificação de múltiplos critérios com entrada de pesos ordinal, que inclui múltiplos tomadores de decisão e distribui as alternativas em categorias predefinidas. Na modelagem proposta neste trabalho, as alternativas foram categorizadas em 3 classes, a saber: Classe A (Promoção por merecimento), Classe B (Promoção por antiguidade) e Classe C (Militares não promovidos). Como resultado, o método apresentou 20% dos oficiais avaliados com desempenho correspondente à classe A, 53% das alternativas à classe B, e 26,7% com desempenhos atribuídos à classe C. Além disso, foi apresentado um procedimento de análise de sensibilidade, mediante variação do valor do nível de corte λ, permitindo tomar decisões baseadas em cenários mais flexíveis ou rigorosos, a critério da Alta Administração Naval. Ademais, foi implementada e apresentada a ferramenta computacional ELECTRE-MOr Web, que implementa a axiomática do método e facilita a utilização e difusão da metodologia proposta de maneira simples e intuitiva. Este trabalho traz valiosa contribuição para academia e sociedade, uma vez que representa a aplicação de um método de AMD no estado da arte para contribuir com a solução de um problema real que pode ser replicado em diversas instituições públicas e privadas, nas esferas táticas, operacionais e estratégicas. Dissertação apresentada ao Programa de Pós-Graduação Stricto Sensu em Engenharia de Produção da Universidade Federal Fluminense como requisito parcial para obtenção do Grau de Mestre em Engenharia de Produção. The personnel selection is increasingly proving to be an essential factor for the success of organizations. These issues almost universally involve multiple conflicting objectives, uncertainties, costs and benefits in the decision-making process. In this context, due to the nature of personnel assessment problems, which include several candidates as alternatives, along with several complex evaluation criteria, these types of problems can be solved by applying Multicriteria Decision Making (MCDM) methods. At the military level, the choice of personnel for missions or promotion is characterized by uncertainty and subjectivity. Thus, the research problem is expressed through the question: “How to prioritize the Brazilian Armed Forces (FFAA) military for positions and promotions in a transparent and fair manner?”. To understand and structure the problem situation, the Value Focused Thinking (VFT) approach was applied, which provided the establishment of 4 criteria and 34 subcriteria, in the light of which 30 Brazilian Navy (BN) officers were evaluated. To support the decision-making process regarding the promotion of officers, we applied the Elimination Et Choix Traduisant la Realité – Multicriteria Ordinal (ELECTRE-MOr), a multi-criteria classification method with ordinal weight entry, which includes multiple decision makers and distributes alternatives into predefined categories. In the modeling proposed in this work, the alternatives were categorized into 3 classes, namely: Class A (Promotion by deserving), Class B (Promotion by seniority) and Class C (Military not promoted). As a result, the method presented 20% of the officers evaluated with performance corresponding to class A, 53% of the alternatives to class B, and 26.7% with performances attributed to class C. Also, a sensitivity analysis procedure was presented, through variation of the cut-off level λ, allowing decisions to be made based on more flexible or rigorous scenarios, at the discretion of the Naval High Administration. Besides, we implemented and presented the ELECTRE-MOr Web computational tool, which implements the axiomatics of the method and facilitates the use and dissemination of the proposed methodology in a simple and intuitive way. This work brings valuable contribution to academia and society, since it represents the application of a MCDM method in the state of the art to contribute to the solution of a real problem that can be replicated in various public and private institutions, in the tactical, operational and strategic spheres.

Published
2022

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