Ciclo PDCA como ferramenta de análise em um processo fabril: o caso Seyconel

The lifting segment and cargo handling requires its equipment and accessories are quality and its specifications are within the norms (NBR 15637-1: 2012) and legislation. Failure to comply with the requirements established by law may compromise the safety of operators and generates dissatisfaction a...

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Principais autores: Yokota, Alexandre, Shimizu, Anderson Tsuyoshi Taguchi, Brito, Julimar César
Formato: Trabalho de Conclusão de Curso (Graduação)
Idioma: Português
Publicado em: Universidade Tecnológica Federal do Paraná 2020
Assuntos:
Acesso em linha: http://repositorio.utfpr.edu.br/jspui/handle/1/9386
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Resumo: The lifting segment and cargo handling requires its equipment and accessories are quality and its specifications are within the norms (NBR 15637-1: 2012) and legislation. Failure to comply with the requirements established by law may compromise the safety of operators and generates dissatisfaction and return by the customer. To avoid this, organizations invest in quality tools and methods to improve the management of their production processes and thereby reduce errors, complaints and anything that can generate damage to the company. In this study, is implemented PDCA cycle as an analysis tool in the manufacture of straps for lifting and moving loads, as were many errors occurring in the length of Sling type straps (S01), generating return material and customer complaint. In addition to the PDCA, the analysis was developed with the help of other tools such as Cause and Effect Diagram (Ishikawa), Flowchart, 5W2H, among other quality tools. The study took place in the company Seyconel Industrial Automation Ltda. which operates in the industrial automation industry for the lifting segment and cargo handling, and the implementation of the improvement occurred in the process in the production sector where it manufactures the straps. During the stages of the study, two questionnaires were applied. The first was at the stage before the analysis of the PDCA cycle and another after, aiming to verify the perception of employees before and after the implementation of continuous improvement.