Programa de Pós-Graduação em Engenharia de Processos - PPGEP/ITEC
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/10052
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Navegando Programa de Pós-Graduação em Engenharia de Processos - PPGEP/ITEC por Orientadores "ESTUMANO, Diego Cardoso"
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Item Acesso aberto (Open Access) Aplicação do método Lean no processo de cadeia de manutenção(Universidade Federal do Pará, 2020-11-25) CAVALCANTE, Milca Daniele Marques; ESTUMANO, Diego Cardoso; http://lattes.cnpq.br/5521162828533153; https://orcid.org/0000-0003-4318-4455With the fourth industrial revolution underway and a globalized market, organizations must be agile and flexible to meet customer requirements and needs. As a result, organizations should use management tools and techniques that add value to their products and/or services, that is, that allows them to produce more with fewer resources. In this perspective, this work aims to develop an analysis of the application of Lean Manufacturing tools in the management of Maintenance Planning and Control (PCM) of a mining company. The study was based on a diagnosis of the initial situation of the PCM, in which low adherence to some indicators was identified, as well as the lack of a problem-solving method. Based on this, a methodology was developed to evaluate the indicators after the implementation of the shop floor and routine management tools (FMDS, kaizen and Andon), and also developed a flowchart to facilitate the employees' decision making regarding the type of continuous improvement tool to use to develop projects. within the PCM. With the implementation of the FMDS tools, Andon and kaizen were achieved consistent results that are presented in graphs, these results were achieved after using the Lean Manufacturing philosophy.Item Acesso aberto (Open Access) Estimativa de parâmetros aplicados em modelos epidemiológicos(Universidade Federal do Pará, 2022-01-28) PINTO, Thiago Moreira; ESTUMANO, Diego Cardoso; http://lattes.cnpq.br/5521162828533153In this study, the Bayesian Monte Carlo technique via Markov Chain (MCMC) was selected to estimate the parameters of the differential equations of the SQUIDER3 and SEIR4 compartmental models, seeking to reflect the propagation of Covid-19 in the state of Pará. An algorithm was developed in Matlab, reproducing the MCMC technique that uses stochastic processes and simulates a random selection of values of each parameter. When sampling proportionally to the probability of the values, a probability distribution was reached in order to be able to both adjust the model parameters and converge to the stationary distribution of interest. The parameters estimated in this paper for the SQUIDER and SEIR compartmental models were compared to real data using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) metrics. Both of these were applied for a better definition of the model that best represents the Covid-19 propagation phenomenon in the state of Pará. As a result, histograms were obtained that indicate a convergence of parameters in the SQUIDER model, which did not happen in the SEIR model. By applying the AIC and BIC, it was demonstrated that the SQUIDER model was the best model to represent the phenomena (i.e. the propagation of Covid-19 in the state of Pará), and has the potential to be used as a predictive model.Item Acesso aberto (Open Access) Implantação do sistema milk run em uma empresa do polo de duas rodas em Manaus(Universidade Federal do Pará, 2022-03-25) NOGUEIRA, Shelle Pontes; ESTUMANO, Diego Cardoso; http://lattes.cnpq.br/5521162828533153Considering the current situation of the global economic crisis and globalized competition, it is necessary to reduce cost and improve productivity in industrial activities. In this context, logistics in general stands out as a source of opportunity for organizations to establish competitive advantages. In this respect, the present work seeks to highlight the contributions that the Milk Run System can bring to the improvement of the flow of materials in the supply area and with the work in partnership with its suppliers, allowing cost reduction through changes in logistics operations. The work was developed in a multinational company manufacturer of electronic parts for the 2 and 4 wheel poles, located in thecity of Manaus. The study showed that by replacing the conventional system with the Milk Run system, the company is able to improve delivery rates. In the case study, the work was carried out in the four suppliers with the highest volume of cargo, in which it was creating routes and delivery times that best met the interests of the company and suppliers.Item Acesso aberto (Open Access) Modelos de estimativa de radiação solar global e análise Estatística em dez cidades do Estado do Pará – Brasil(Universidade Federal do Pará, 2022-01-28) VALENTE, Alexandre Miguel da Cruz; ESTUMANO, Diego Cardoso; http://lattes.cnpq.br/5521162828533153Estimating solar radiation is important for various segments of society such as agriculture, meteorology and electricity generation (photovoltaic systems). This workaims to estimate the Global Solar Radiation in ten cities in the state of Pará - Brazil, using estimation models, Hargreaves-Samani and Bristow-Campbell, using meteorological data provided by Automatic Meteorological Stations, belonging to the National Institute of Meteorology (INMET), to compare the observed and estimated values and analyze which model best fits the region, through the parameters Coefficient of Determination (R²), Willmott Index (d), Pearson correlation coefficient (r) andRelative Root Mean Squared Error (rRMSE). The results showed that the models are satisfactory and can be used to estimate the Global Solar Radiation, however for the less rainy period there was an overestimation, between june and november. The Castanhal station had the lowest average global solar radiation compared to the other stations with an average daily radiation equal to 15.06 M/m².day, while the city of Redenção had the highest daily average, 18.33 MJ /m².day. The city of Tomé Açu presented better fit of the models referring to the observed values, since for the HS model, the confidence index was considered very good, c equal to 0.78, and the relative RMSE was considered excellent, with rRMSE equal to 9.93%. For the B-C model for this station, the confidence index and the relative RMSE were considered good, c equal to 0.71 and rRMSE equal to 19.14%.