Abstract
The textile industry represents 6.4% of the G.D.P., which has a high demand for orders with fast and correct deliveries. Nevertheless, there is a rate of returns that has been increasing in the last few years due to the high number of orders received. For this reason, the article is based on a case study of a SME.That sells children's clothing in Peru. A model was developed using 5s methodology, ABC Multicriteria, Jidoka, and Standardized Work, seeking to improve the current 7.14% of returns. The proposed model was implemented with a pilot plan and simulated with Arena Software, proving that the combination of Lean methodologies can optimize the warehouse processes, reducing the rate of returns to 4%.
| Original language | American English |
|---|---|
| Title of host publication | Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023 |
| Publisher | Association for Computing Machinery |
| Pages | 155-161 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781450398527 |
| DOIs | |
| State | Indexed - 9 Jan 2023 |
| Externally published | Yes |
| Event | 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023 - Rome, Italy Duration: 9 Jan 2023 → 11 Jan 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023 |
|---|---|
| Country/Territory | Italy |
| City | Rome |
| Period | 9/01/23 → 11/01/23 |
Bibliographical note
Publisher Copyright:© 2023 ACM.
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