Analytics de Defeitos por Mix de Produção em Oficina de Montagem

Main Article Content

Monique Suellen de Lima e Silva Tomaz
https://orcid.org/0000-0002-5234-6789
Antônio Ferreira Da Silva Netto
https://orcid.org/0009-0006-1366-7666
Diogo Henrique Aguiar Prado Pereira
https://orcid.org/0009-0000-9680-5601
Thiago De Santana Salustiano
https://orcid.org/0009-0005-7893-6233
Alexandre Magno Andrade Maciel
https://orcid.org/0000-0003-4348-9291

Abstract

This article presents an in-depth investigation of the defect analysis pattern associated with the classification of problems in produced vehicles, with emphasis on a specific company in the automotive sector. The main objective of this study is to improve the quality and safety of manufactured vehicles, through the identification of patterns and correlations in the collected data related to defects. To achieve this goal, advanced data analysis techniques and artificial intelligence tools are applied, together with other specialized solutions in this area.

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How to Cite
Tomaz, M., Silva Netto, A., Pereira, D., Salustiano, T., & Maciel, A. (2023). Analytics de Defeitos por Mix de Produção em Oficina de Montagem. Journal of Engineering and Applied Research, 9(1), 60-68. https://doi.org/10.25286/repa.v9i1.2779
Section
Edição Especial em Ciência de Dados e Analytics