Navegando por Autor "PONTES, Kleber de Lima"

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    Análise do grau de riscos em projetos de P&Di utilizando lógica fuzzy para identificação de viabilidade técnica
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-08-10) PONTES, Kleber de Lima; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
    Currently, business structures are increasingly focused on pursuit of continuous improvement in their processes so that organizations can remain competitive in the market, since customers require more and more products or services with high quality levels. With the reference this scenario, this work brings a methodology of analysis of the risk of R&DI (Research, Development and Innovation) projects, using the fuzzy mathematical model, developed in an organization whose core business is the research and development of new technologies. This analysis occurs through the development of linguistic variables (input), with the aim of identifying measure the degree of risk in projects. After the determination of the guidelines to be followed, it was possible to obtain results that demonstrate that the developed fuzzy model can assist in the identification and prioritization of the variables that increase the degree of risk of technologies development projects.
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    Análise do Grau de Riscos em Projetos de P&DI Utilizando Lógica Fuzzy para Identificação de Viabilidade Técnica
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-11-11) PONTES, Kleber de Lima; NASCIMENTO, Manoel Henrique Reis
    This work proposes the use of Fuzzy Logic as a tool to analyze and manage risks associated with Research, Development, and Innovation (R&D&I) projects. Globalization and growing demands for innovation require organizations to develop products and services efficiently, minimizing risks and maximizing technical feasibility. The developed Fuzzy model allows for the identification, classification, and evaluation of risks, providing a robust tool for decision-making in uncertain environments. The research highlights the importance of effective risk management to ensure the delivery of innovative projects within planned timelines and costs.