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Production Model Based on Lean Tools to Increase the Overall Efficiency of the Equipment in the Sole Pressing Process of a Footwear Company

  • Araceli Nicol Lucia Ortega-Leguia
  • , Lesly Fiorella Vargas-Purizaca
  • , Juan Carlos Quiroz-Flores

Producción científica: Capítulo del libro/informe/acta de congresoArticulo (Contribución a conferencia)revisión exhaustiva

Resumen

The present investigation was carried out in a rubber soles production company in the footwear industry in Peru, which belongs to the manufacturing sector. In this sector, several problems affecting the Overall Equipment Effectiveness (OEE) of small and medium-sized companies were identified, either due to a large amount of downtime, low availability and performance of equipment, or low quality, among others; this study has its main objective to improve OEE according to the global industry standard (85%). The proposed solution implemented a production model in which SMED, TPM, and Poka-Yoke methodologies were applied. With this, the simulation of the current and the improved situation was carried out with the Arena software. Additionally, it was demonstrated that the proposed model improved the OEE to 86.17% because availability, performance, and quality improved to 95.85%, 89.95%, and 99.94%, respectively. Finally, this research was done to contribute to the sector's growth and to be a reference for companies with similar processes that want to increase OEE.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2023 4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas62-67
Número de páginas6
ISBN (versión digital)9798350324280
DOI
EstadoPublicada - 2023
Evento4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023 - Chiang Mai, Tailandia
Duración: 27 abr. 202329 abr. 2023

Serie de la publicación

NombreProceedings - 2023 4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023

Conferencia

Conferencia4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023
País/TerritorioTailandia
CiudadChiang Mai
Período27/04/2329/04/23

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