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Dissertação
Análise da aplicação de modelagem e simulação computacioal como apoio à tomada de decisão em processos produtivos industriais: estudo de caso em uma organização do segmento de duas rodas
This study aims to analyze the resources and advantages of using modeling and computer simulation in industrial manufacturing processes as a tool to support the decision making. Thus, a case study was made at a motorcycle company located in Manaus’ Industrial Center, in which they used the software...
Autor principal: | NOGUEIRA, Reginaldo Alves |
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Grau: | Dissertação |
Idioma: | por |
Publicado em: |
Universidade Federal do Pará
2017
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Assuntos: | |
Acesso em linha: |
http://repositorio.ufpa.br/jspui/handle/2011/8041 |
Resumo: |
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This study aims to analyze the resources and advantages of using modeling and computer simulation in industrial manufacturing processes as a tool to support the decision making. Thus, a case study was made at a motorcycle company located in Manaus’ Industrial Center, in which they used the software Tecnomatix® Plant Simulation. Initially, it was developed a simulation project, based on the industrial manufacture of a productive process of the variable support, an important item on the motorcycles production. This manufacture is known for its high complexity, due to the risks during its productive process. This dissertation also presents concepts related to the production management and the importance of decision making as well as the main definitions of modeling and computer simulation, with emphasis on Plant Simulation platform. Some other advantageous applications of using the modeling and computer simulation as tools have been identified, as we wrote this dissertation. However, we would rather make a restriction and just demonstrate the optimization of a manual productive process. After analyzing the simulation’s results, in multiple virtually modeled scenarios, taking into consideration the risk and productivity parameters, as well as having a systemic understanding of the situation, we considered the best option to organize would be the automated productive scenarios whose layouts allow greater interaction, flexibility, productivity and lower risk - providing the maximization of the desired results. Finally, from the analysis of the achieved results, as well as the relevant conclusions, it is easier to see clearly the advantages and resources of applying computer simulation as a support tool on the decision making in industrial manufacture processes. |