Engenharia Civil 4.0

URI Permanente desta comunidadehttps://repositorio.cesupa.br/handle/prefix/29

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Navegando Engenharia Civil 4.0 por Autor "Miranda Neto, Armando Batista de"

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    Análise de falhas na concepção de projetos, orçamentos e planejamentos de obras públicas: estudo de caso
    (Centro Universitário do Estado do Pará, 2023-11-27) Miranda Neto, Armando Batista de; Silva, Jason Kuroki da; Santos Junior, Evaristo Clementino Rezende dos; http://lattes.cnpq.br/8092046333311366; Sousa, Andreia do Socorro Conduru de; http://lattes.cnpq.br/6242878820643068; Jorge, Bruno Norat; http://lattes.cnpq.br/2657455132558480
    In Brazil, the topic of public works is widely discussed, however, most of the time superficially and without due analysis regarding its shortcomings and problems; Due to this type of vision, this work aimed to deepen and presente in a statistical and analytical way such gaps that exist throughout the process of a public work in the state of Pará, from the opening of the bidding notice, through the execution and inspection, partial deliveries (measurements), and delivery of the final product. This analysis was carried out, with the aim of enhancing the results, using the exploratory method, where two types of research occur; a case study in order to identify the problems presented in a type of public work with on-site monitoring (corpo de bombeiros /CMAN), and a quantitative research, where a questionnaire was carried out in order to collect data regarding existing gaps, by type of work (civil/infrastructure), specification of the work (ex: roads), by role of the interviewee (inspector/executor), size of the work, finally, several issues are presented where the interviewee points out the degree of interference in the result end of the work; Finally, a comparison was made between the data obtained in the quantitative research and the case study, resulting in compatibility between the two studies, showing that the field research did not meet the standards of public works in the state of Pará, according to data from quantitative research,.