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Warehouse Management model to reduce return rate applying Lean Manufacturing Techniques and Multicriteria ABC in a SMEs in the textile sector

Research output: Chapter in Book/ReportConference contributionpeer-review

6 Scopus citations

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 languageAmerican English
Title of host publicationProceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
PublisherAssociation for Computing Machinery
Pages155-161
Number of pages7
ISBN (Electronic)9781450398527
DOIs
StateIndexed - 9 Jan 2023
Externally publishedYes
Event10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023 - Rome, Italy
Duration: 9 Jan 202311 Jan 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
Country/TerritoryItaly
CityRome
Period9/01/2311/01/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

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