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Aplicação de análise ergonômica do trabalho auxiliada por pontos de verificação ergonômica e aplicação de conceitos de aprendizagem expansiva
(Universidade Federal de São Carlos, 2021-08-11) Almeida, Flavio Coutinho; Moura, Daniel Braatz Antunes de Almeida; https://lattes.cnpq.br/5287608431146025; Silva, Sérgio Luis da; https://lattes.cnpq.br/4164265591178698; https://lattes.cnpq.br/2640143546735800
Among the most widespread forms of practical application of ergonomic concepts, the activity centered ergonomic analysis stands out. This study aims to apply the Ergonomic Checkpoints Points (ECP) tool in activity centered ergonomic analysis, via Case Study method, to investigate possibilities of expanding the limits of collaborative solving of problems and the proposing of collective solutions, by using Expansive Learning concepts, from Cultural Historical Action Theory. This approach was applied in an environment characterized by access restrictions and lack of qualified personnel for doing more complex analyses, and in which the initial demand was focused on the design of artifacts in a small company of veterinary services. As results, we could point out the novelty represented by the joint application, in a case study, of concepts of Expansive Learning in situated ergonomic analysis, guided by ECP, resulting in aspects of learning and collective knowledge construction, bringing better situational awareness about ergonomic problems that affect the company, its operational context and the expansion of the consensual figuring of problems by company’s professionals, as immaterial aspects. As material results, we could cite data for establishing specifications, drawings and prototypes, instrumental for the development of solutions, through artifacts.
Análises Bayesiana para o modelo de regressão Birnbaum-Saunders com zeros ajustados
(Universidade Federal de São Carlos, 2021-08-11) Marcelino, Jadson Luan dos Santos; Tomazella, Vera Lucia Damasceno; https://lattes.cnpq.br/8870556978317000; https://lattes.cnpq.br/7834036517430540
Modeling based on the Birnbaum-Saunders distribution has received considerable attention in recent years. In this work we consider the reparametrized Birnbaum-Saunders distribution with zero-adjusted (ZARBS) (SANTOS-NETO et al., 2012). This distribution admits the occurrence of zeros with positive probability, considering a discretecontinuous mixing model that is constructed using a probability mass at zero and a continuous component. ZARBS generalizes at least seven reparametrized Birnbaum- Saunders regression models. In this context, the main contribution of this dissertation is to study ZARBS under a Bayesian approach using the BAMLSS package developed in the R software, as well as to derive influence diagnoses for the model. Diagnostic methods have been important tools in regression analysis to detect anomalies, such as breaking assumptions in the stochastic part of the model, presence of outliers and influential observations. We assess the local influence on parameter estimates considering a perturbation scheme. To verify the potential of the proposed methodology, an application to a set of real data will be considered.