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Neste artigo, realiza-se uma análise exploratória de dados coletados em uma pesquisa aplicada a estudantes brasileiros da Universidade Estadual de Campinas (Unicamp) sobre as dificuldades observadas na transição do ensino presencial para o remoto devido à pandemia de covid-19. Conduzimos uma pesquisa bibliográfica e aplicamos a análise fatorial exploratória (AFE) às respostas de 1.776 estudantes, buscando obter um modelo que explicasse a maior parte da variação dos dados. Analisando os resultados da aplicação da AFE, destacam-se dois grupos de dificuldades: as relacionadas ao planejamento do curso e as relacionadas ao acesso e à disponibilização de infraestrutura adequada para o ensino remoto. Essas reflexões podem contribuir para os planos institucionais das instituições de ensino superior. É interessante salientar que não estamos inferindo uma prevalência de dificuldades, mas apontando que essas dificuldades devem ser analisadas e exploradas pelos stakeholders (partes interessadas) universitários.

Abstract: This article analyses the difficulties observed in adopting the Total Productive Maintenance (TPM) program in production systems. The research strategies used for this purpose consisted of a literature review, a panel of experts and a survey with professionals working in manufacturing companies. Altogether, 69 market professionals took part in the survey and the collected data was analyzed through the PLS-SEM technique. Results indicate that there is a causal relationship between difficulties associated with the planning phase of a TPM program and issues associated with its implementation. This is an original research and the results are valuable to business professionals desiring to properly implement TPM, as well for researchers interested in the mechanics of total productive maintenance system’s adoption.

In a globalized world, organizations are constantly exposed to uncertainties. Therefore, risk management is important. To conduct the risk analysis in projects, six management processes are defined, according to the project management guide of the Project Management Institute, and the focus of this work is the study of the quantitative evaluation process. Through a literature review, we aimed to understand the techniques of quantitative analysis of the risks in projects. It was noted that every application requires major investment, whether it be for computational purposes, or for financial or human knowledge, making the use of this management process in smaller projects almost unfeasible. In the 33 articles analyzed, 8 quantitative methods for risk analysis in project management were collected. The results of this research can be used both by researchers, for future research, and by market professionals, to analyze the tool that best suits their needs.

Bearing in mind the intense competition in the current economy and the increasing necessity of having more customers and keeping them loyal, this paper aims to apply the well known Queuing Theory in a bank agency to identify improvement opportunities in customer waiting time, from the assumption that the analyzed lines follow the Poisson’s distribution. This assumption results from the comparison between such distribution to the customers' arrival data in all analyzed lines. It was also found that there are queues with seasonality in demand, while others showed a regular demand. From the study performed, improvements in the management of this bank agency may be made, for example, the reallocation of staff in certain periods for functions with higher demand. It was concluded, therefore, that the application of the theory is feasible and can help to increase the competitive advantages of the agency.