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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Resultados da Pesquisa
Item Modelo Fuzzy para avaliar o nível do Lean Manufacturing em uma Empresa de Fabricação de Ar-Condicionado Comercial(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-10-31) SOARES, Raquel Borges; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798Proper management of shop floor resources has fundamental importance for the financial health and survival of companies. Organizations that work with high levels of waste lose competitiveness due to directing their efforts and investments constantly in corrections instead of new technologies. The waste must be studied and eliminated or mitigated to guarantee the generation of profit, for this purpose the company chosen as the object of application of the research started using the tools of the Lean manufacturing methodology. This work aims to implement a model for assessing the level of Lean Manufacturing based on fuzzy inference in this company that is undergoing a lean transformation process and whose organizational culture was initially not established with the pillars of lean manufacturing. For the creation of the model, the entire production process was mapped, the processes were selected and defined as variables 4 of the tools already implemented by the company 5S, VSM (value stream map), TPM (total productive maintenance) and SMED (single minute exchange of die). The model adopted to determine the Lean level was based on computer simulation as a tool, based on fuzzy logic. The application of the developed model shows that the evaluation of Lean Maturity through the application of Lean Manufacturing tools in the Production Process to be used through the fuzzy methodology proved to be feasible to assist in the desired validations, allowing to understand the impact of each linguistic variable in the research result, pointing out how the Company “MCJV” can use the information obtained to improve the Lean transformation management process. A great advantage of the created model is the possibility of being adjusted to any type of organization, whose input and output variables can receive other linguistic values. As a future suggestion for research, we have the inclusion of new entries such as VOP (voice of process) or PSP (problem solving).Item Aplicação de ferramentas da gestão da qualidade para redução de scrap em uma indústria de caixa eletrônico no Polo Industrial de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-12-10) RODRIGUES, Suede da Luz; BEZERRA, Roberval Monteiro; http://lattes.cnpq.br/0466572603004690Due to the globalization that has increased the competitiveness among markets, companies have sought to improve their production processes to reduce waste and production costs. To optimize the processes, the industry has invested in the implementation of advanced technologies and has also sought to apply different quality tools, ranging from traditional tools to more modern methods. Quality tools are means that facilitate the resolution of problems that can interfere with the good performance of a process, product, or service. They enable continuous process improvement and allow organizations to take appropriate action to avoid recurrence of the problem. In addition, applying quality tools to reduce process scrap can bring medium- and long-term benefits to companies, which will reflect in customer satisfaction, and cost reduction due to the rejection of non-conforming materials. The objective of this work was to reduce scrap of financial resources and time through the introduction of robust quality tools applied to the production process in the ATM industry. The research methodology used was the case study, applied in a company in the Industrial Pole of Manaus. The methodological proposals, conceptualization, and the main quality tools used in the industry were presented. The results were analyzed through the use of the following quality tools: Pareto Diagram, Trend Graph, Brainstorming, 5-Why Analysis and 5W2H. The results found point out that the quality tools are effective for the identification of causes and solution of problems related to rejection of materials. The Pareto diagram evidenced that the card reader was the main cause of rejection, and together with 7 other items represented 78% of the rejection costs of 2018 and 2019. Finally, with the application of the 5W2H tool it was possible to implement action plans to solve the problems identified, which generated a significant reduction of 95% of the 2020 rejection costs.