TY - GEN
T1 - Production Model Based on Lean Tools to Increase the Overall Efficiency of the Equipment in the Sole Pressing Process of a Footwear Company
AU - Ortega-Leguia, Araceli Nicol Lucia
AU - Vargas-Purizaca, Lesly Fiorella
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85179129805
U2 - 10.1109/IEAI59107.2023.00016
DO - 10.1109/IEAI59107.2023.00016
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85179129805
T3 - Proceedings - 2023 4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023
SP - 62
EP - 67
BT - Proceedings - 2023 4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023
Y2 - 27 April 2023 through 29 April 2023
ER -