Análise da inicialização da cadeia de suprimento de um complexo de beneficiamento de minério de ferro utilizando simulação de eventos discretos

• Ano de defesa: 2019
• Autor(a) principal: Oliveira, Gustavo Bonella de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Engenharia Civil; Centro Tecnológico; UFES; Programa de Pós-Graduação em Engenharia Civil
• Palavras-chave em Português: Simulação de eventos discretos; Período de aquecimento; Start-up industrial; Discrete event simulation; ARENA; Warming up period; Industrial start-up; subject.br-rjbn; Engenharia Civil
• Link de acesso: http://repositorio.ufes.br/handle/10/13824

Building a self-sufficient logistics system in a company can determine its success by leveraging profits to a national and even international level of recognition. Reactivating, or even activating, an industrial plant requires a lot of planning, study and market analysis. In view of this, the use of various tools can be used from works, previous studies of gender industries, bechmarking and simulation tools, provided they are used in the right way. This paper aims to study the reactivation of an industrial plant, focusing on its logistics chain, and how long it will take for the company to return to the steady state supply of its key inputs. As a case study, the Brazilian mining company Samarco and the Fundão dam rupture, located in Minas Gerais, which took place in November 2015, were used. mining supply chain scenarios. A mining supply chain simulator was developed with actual company data prior to shutdown. The software was Arena®, with the objective of determining the time required to return the mining supply chain activities to its stable level of activity. In this sense, this study was based on the simulators warm-up period, normally disregarded in many studies and that can bring valuable information to the company. In all, 13 alternative scenarios and one real-time scenario of the system were proposed before the production interruption, and in all simulation scenarios the proposals were based on inventory levels, collaborative chain and operational production levels. As a result of the research, it was found that the greatest negative influence on the company's inventory level is the input of higher supply lead time, this input that could burden production and lead to plant disruption time. With the proposed models and interventions, it was possible to foresee solutions and study the best of them to apply to the real scenario. As a conclusion of this dissertation it can be seen that a collaborative supply between distinct supply chains can increase the efficiency of the productive return of this industry. The best scenario simulated was the mining company's partial operation with the supply through its shareholder.