Navegando por Autor "NEVES, Renato Martins das"

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Acesso aberto (Open Access)
Análise do desenvolvimento de competências gerenciais na construção civil através do modelo da Aprendizagem Baseada em Problemas adaptado ao contexto organizacional
(2014-03) MARTINS, Vitor William Batista; NEVES, Renato Martins das; MACÊDO, Alcebíades Negrão
Continuous changes in the civil engineering scenario, and consequently in construction production management require engineers with a different profile, resulting in the need of new competences, related to innovation, customer focus, planning and control, quality management systems, sustainability and a humanistic vision. The main goal of this article is to identify the competences developed in a construction company through the implementation of problem-based learning adapted to the organizational context. The strategy applied in this study was action research, in which researchers work with practitioners to improve the way they understand and solve problems. The results obtained involve the development of competences related to the organizational context, individual, collective and organizational learning process, pointing out problems and possible managerial solutions in the company. By developing managerial competences, a sustainable and humanistic vision, with client focus was stimulated, besides improvements in the quality management system. Some problems were identified in the organizational management system, making evident the need to create an environment that facilitates information exchange among the different sectors of the company.
Acesso aberto (Open Access)
Construction delays: a case study in the Brazilian Amazon
(Universidade Federal do Pará, 2017-09) MAUÉS, Luiz Mauricio Furtado; SANTANA, Wylliam Bessa; SANTOS, Paulo Cerqueira dos; NEVES, Renato Martins das; DUARTE, André Augusto Azevedo Montenegro
The construction industry is one of the industrial sectors with the lowest rates of fulfilment of contract deadlines, especially in developing countries. This fact has been the focus of considerable discussions seeking to identify the causes of the delays. The main purpose of this paper is to use factor analysis to identify the factors that are correlated with delay, contemplating exclusively residential real estate projects and using a city in the Brazilian Amazon as a case study. Based on the database from the government agency that authorises constructions in the city of Belém (City Planning Department - Secretaria Municipal de Urbanismo, SEURB) and data from construction companies, the study investigated 274 construction projects from the past 11 years. Factor analysis and work with the variables that can be identified and measured in the initial phase of the project, i.e., during the feasibility study, demonstrate that the physical characteristics of the apartments and the construction project are the primary causes for variations in construction delays; these causes have not yet been reported in the literature. We hope that the results of this study will contribute to more consistent forecasting of construction time, minimising the risk of delays.
Acesso aberto (Open Access)
Modelagem do tempo de execução de obras civis: estudo de caso na Universidade Federal do Pará
(2012-03) COUTINHO, Lêda Sílvia de Aguiar Lédo; DUARTE, André Augusto Azevedo Montenegro; NEVES, Renato Martins das; COUTINHO NETO, Benedito; MANESCHY, Carlos Edilson de Almeida; PINHEIRO, Ana Maria Guerra Seráfico
This article proposes the adoption of a numerical prognosis model to estimate the variable "execution time" for public projects in an objective way. The field work consisted of the application of statistical methods for analyzing data from projects that were bid and contracted by the Federal University of Pará (UFPA) between 2006 and 2009. Data analysis involved linear regression and transformed functions. After the stratification and initial treatment of the data, the evidence adopted for the construction of the final model was limited to 102 out of the 225 projects originally investigated, resulting in the following statistical parameters: correlation coefficient (R) of 0.899, coefficient of determination (R2) of 0.808, adjusted coefficient of determination (adjusted R2) of 0.796, and standard error (Se) of 0.41. These parameters show a strong linear correlation between the variables, indicating that 79.60% of the variability of the execution of a public project is jointly caused by variations in the gross floor area, the estimated cost, the operational technical capacity of the client organization; the operational capacity of the company; the type of service, and the season.