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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

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2023 4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages62-67
Number of pages6
ISBN (Electronic)9798350324280
DOIs
StatePublished - 2023
Event4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023 - Chiang Mai, Thailand
Duration: 27 Apr 202329 Apr 2023

Publication series

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

Conference

Conference4th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2023
Country/TerritoryThailand
CityChiang Mai
Period27/04/2329/04/23

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