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URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/19
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Resultados da Pesquisa
- Exploring the readiness of a Brazilian technological university during the COVID-19 pandemic(2023-01-05) Gabriela Scur; Alliprandini D.H.; Chinaglia E.F.; Roberto Santos© 2022, Emerald Publishing Limited.Purpose: The paper investigates the learning practices carried out by Higher Education Institutions (HEIs) in the transition from strictly face-to-face to remote teaching in response to the coronavirus disease 2019 (COVID-19) pandemic. It also analyses how these practices could be used as a baseline to support new perspectives on learning in the technological education field. Design/methodology/approach: The authors conducted a single-case study of a Brazilian technological university. Findings: This study’s findings indicate that institutional planning and providing support to faculty and students were essential measures for a successful transition from face-to-face teaching to emergency remote teaching. Planning includes careful selection by the HEI of the tools that make a virtual learning environment and the strategies used to replace face-to-face teaching with emergency remote teaching. Our study points out the lessons learned during the pandemic. It presents guidelines for HEIs on how to prepare for a return to face-to-face teaching, embodying some learning dimensions such as synchronous or asynchronous, active or passive, individual or collective, and mediated or not mediated by information and communication technologies (ICTs). Originality/value: The paper provides reflections on the four dimensions to support decisions to leverage learning in each educational institution. This paper's main contribution is that the concept of teaching and learning must be comprehensive and inclusive according to the particular HEI context.
- The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19(2023-02-05) Débora Bianco; BUENO, A.; GODINHO FILHO, M.; LATAN, H.; GANGA, G. M. D.; FRANK, A. G.; JABBOUR, C. J. C.© 2022 Elsevier B.V.Humanity has faced many crises in the past, such as pandemics, wars, and economic crises, and other crises are certain to come in the future; however, emerging technologies have a role to play in improving companies’ resilience in the face of such crises. The coronavirus (COVID-19) pandemic has led to human, technological, and managerial constraints for manufacturing companies due to scarce resources or supply chain (SC) disruptions. The research goal of this paper is to investigate whether Industry 4.0 implementation improved companies’ resilience and whether companies’ performance maintained stability during the COVID-19 outbreak. Composite-based structural equation modeling is applied to analyse data collected from 207 manufacturing companies. The theoretical model is grounded in the Practice-Based View (PBV) theory. The research findings show that operational responses based on Industry 4.0, smart manufacturing practices, and smart capabilities enable manufacturers to build resilience and quickly mitigate performance loss in times of global crisis. Therefore, the results demonstrate that Industry 4.0 implementation provides resilience for companies through flexibility, reliability, robustness, and responsiveness. The main practical implication of this study is to support managers in achieving manufacturing performance stability during disrupted times, such as the COVID-19 crisis, using Industry 4.0 approaches to make their companies more resilient and prepared to face future challenges and crises.
Trabalho de Conclusão de Curso Modelagem matemática com aplicação de lógica Fuzzy na programação de compras no ramo hospitalar em contexto da pandemia de COVID-19(2021-12) Paschoalino, Felipe Augusto; Golpian, Igor Lima; Pereira, Leonardo Bonfante; Fonseca, Tomaso Reinaud; Rocha, Rodrigo CarvalhoDevido a pandemia de COVID-19, a demanda por procedimentos de hemodiálise cresceu significativamente, dificultando as atividades de planejamento dos hospitais no processo de aquisição de insumos e medicamentos. No presente trabalho será apresentado um método capaz de prever os gastos necessários para atender a previsão de demanda em um renomado hospital de São Paulo. Um modelo matemático de programação linear foi desenvolvido com objetivo de minimizar os custos de aquisição de material considerando restrições de demanda e estoque. Para refletir a oscilação dos preços de materiais hospitalares em períodos nos quais a demanda e o abastecimento dos mercados fornecedores sofrem incertezas será adicionado ao modelo matemático um fator de correção calculado a partir da metodologia Fuzzy. O modelo desenvolvido foi implementado em linguagem de programação Python utilizando o software Gurobi Optimizer e bibliotecas de algoritmos para metodologia Fuzzy. Testes computacionais foram realizados para validação dos resultados obtidos. Observou-se uma variação de 4% em relação ao orçamento previsto pelo modelo e o orçamento executado em 6 meses entre os anos 2020 e 2021. Em conclusão, a equipe de planejamento do hospital será capaz de realizar uma estimativa de custos de aquisição para um determinado período com a segurança de que o valor provisionado será capaz de atender as compras, sem que haja a necessidade de volumes de estoque excessivos, o que ocasiona em altos custos para o hospital.