PPG.EGPSA/ITEGAM

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/1

A comunidade dispõe da produção técnica e científica do Programa de Pós-graduação em Engenharia, Gestão de Processos, Sistema e Ambiental (PPG.EGPSA) do Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM), fruto da atividade de pesquisa e desenvolvimento (P&D). É possível acessar os trabalhos de conclusão do programa de pós-graduação, artigos e livros vinculados a pesquisa, desenvolvimento, inovação e extensão.

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Modelo para estimar o risco de ruptura pela falta de abastecimento de insumos, com base em simulação digital – o caso de uma indústria de eletroeletrônicos
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-04-09) BRANDÃO, Edio Paulo Segnini; RODRIGUEZ, Carlos Manuel Taboada; http://lattes.cnpq.br/5905893327298080
The supply flow of components for the manufacture of technology products has been suffering restrictions in its supply dynamics, due to the increase in market demand for more sophisticated products, by the exclusivity of a few manufacturing plants in the global supply, limitations of transportation infrastructure and natural impacts that affects the flow of cargo transportation. This context has resulted in the worsening of the global supply crisis for the electrical and electronic goods industry, in particular for the automotive industries, from 2020 onwards. Faced with this scenario of uncertainties, this study aimed to create a model that estimates the risk of disruption in a manufacturing process of an automotive electrical and electronic product, for periods, due to the lack of supply of inputs and through a case study. This study development examined how traditional production planning and control systems are integrating with new information technologies enabling to obtain an accurate data for predicting disruption risks. The model is based on real data and requirements generated by Production Planning and Manufacturing Resource Planning (MRP) calculation to determine the disruption point, integrated within a Low Code Development Platform (LCDP) digital platform. To facilitate the achievement of the objectives, a four-step was developed. First, the steps of the production process and of the inputs supply planning were mapped, based on the production planning. In the second step, it was created a method for calculating the consumption and the point of disruption of the inputs in the production process, based on the requirements generated by production planning. In the third stage, the choice of the supporting digital platform was determined, whose selection criterion was determined by the evaluation of the artificial intelligence elements contained on it and by the complexity of the programing codes. Finally, the application of digital simulation by the real data. The results achieved can be mentioned: a model that estimates the rupture of the production process by the date of and the period involved in the disruption. By this study it was identified 66% of production plan coverage from the total production plan of the period due to the disruptions found. The contribution to the literature through a model that estimates the risk of disruption of a production process, through a digital tool.