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

Agora exibindo 1 - 3 de 3
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    Application of the Six Sigma Methodology and Use of the DMAIC Method to Reduce the Loss Rate of Aluminium Cans in a Beverage Industry to Reduce Operational Costs: Case Study: Latax Refrigerantes Ltda
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) SANTOS, João Felipe Silva dos LEITE, Jandecy Cabral; LEITE, Jandecy Cabral
    Six Sigma is an internationally recognized tool widely used to identify and implement improvements in an organization’s internal processes, aiming at reducing operational costs and increasing profit margins. This study demonstrates how the application of Six Sigma can assist in reducing operational costs by minimizing can losses in the production process through cause analysis and the implementation of action plans in an aluminum can soft drink production line. The DMAIC methodology (Define, Measure, Analyze, Implement, and Control) was used, along with statistical tools such as VOC (Voice of the Customer), Ishikawa Diagram, and SIPOC. The results indicate that, after implementing the proposed actions, the average can loss rate was reduced from 0.53% to 0.26%, resulting in an annual savings of approximately $6,926 for the company.
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    Reduction of Sugar Loss Using Lean Six Sigma Tools and DMAIC Method to Increase Competitiveness and Reduce Costs in a Soft Drink Company
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) AMARAL, Kelen Farias de LEITE, Jandecy Cabral; LEITE, Jandecy Cabral
    The Lean Six Sigma method integrates Lean Manufacturing and Six Sigma principles to enhance production processes and reduce costs. This study applies Lean Six Sigma tools and the DMAIC methodology to optimize beverage manufacturing and bottling processes in a Simões Group company. Using tools such as VOC, CTQs, Ishikawa Diagram, and SIPOC, the main sources of sugar waste were identified. The implementation of corrective actions reduced the sugar loss rate from 2.02% to 0.07%, resulting in an annual savings of approximately $25,194 for the company. Palavras-chave (5 termos):
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    Sistema de inferência fuzzy para avaliação da conformidade do ensaio de mostradores de energia, baseado em normas
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Márcio André de Oliveira; BRITO JUNIOR, Jorge de Almeida
    This dissertation develops a fuzzy inference system to evaluate the compliance of energy meter displays according to the criteria of Portaria 221, May 23, 2022. Using fuzzy logic, the system analyzes variables such as Digit Segment Quality (QSD), sharpness, and functionality, providing a more precise and adaptable evaluation. The model proposes improvements in cost, speed, and scalability by automating the analysis and reducing human errors, standing out as an effective tool for quality control in industrial environments.