Engenharia Mecânica
URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/23
Navegar
2 resultados
Resultados da Pesquisa
Artigo de evento 1 Citação(ões) na Scopus Integrated manufacturing laboratory and software tools applied to an industrial engineering undergraduate course(2009-03-23) Fabio Lima; PRADO, A. C.; Alexandre Augusto Massote; Fabrizio LeonardiThis paper describes the experience of using software tools associated with an integrated manufacturing laboratory in an industrial engineering undergraduate course at FEI (Fundacao Educacional Inaciana, Brazil). The integrated manufacturing laboratory has got three complete manufacturing cells integrated by computer. The aim of the laboratory is to provide to the industrial engineering student a powerful analysis capability of how to use these kinds of systems to improve product quality and production performance. To do that, computational models are implemented using software tools like Visual Object Net++, Promodel® and WEB support. Finally, the models are validated in laboratory experiments. It was observed that such strategy has been given excellent learning results.Artigo 3 Citação(ões) na Scopus Automation course for industrial engineers: An approach based on Petri Nets, software tools and laboratory experiments(2014-01-05) Fabio Lima; PRADO, A. C.; Alexandre Augusto Massote; Fabrizio Leonardi© 2014 TEMPUS Publications.This paper proposes a methodology for teaching industrial automation to Brazilian industrial engineering undergraduate students, based on analysing a computational solution associated with an integrated manufacturing laboratory. As a first approach an analytical analysis of the automated process is carried out. Then the manufacturing laboratory is combined with software tools, to provide the industrial engineering student with a powerful analysis for using these kinds of systems to improve product quality and production performance. For the computational analysis, we have inserted Petri Nets to evaluate the production system performance with a good acceptance from the students. This is the highlight of this work since using Petri Nets for Industrial Engineering undergraduate students is not a common approach. Finally, an assessment proved that such a strategy has been producing excellent learning results.