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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

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Date
2023
Author(s)
Roncal Coronel, Milagros Liliana
Tarazona Ballon, Fabricio Abraham
Quiroz Flores, Juan Carlos
Metadata
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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%.
URI
https://hdl.handle.net/20.500.12724/18498
DOI
https://doi.org/10.1145/3587889.3587913
How to cite
Tarazona-Ballon, F., Roncal-Coronel, M., & Quiroz-Flores, J. C.(2023). Warehouse Management model to reduce return rate applying Lean Manufacturing Techniques and Multicriteria ABC in a SMEs in the textile sector. ACM International Conference Proceeding Series. https://doi.org/10.1145/3587889.3587913
Publisher
Association for Computing Machinery
Subject
Industria textil
Pequeñas y medianas empresas
Producción eficiente
Textile industry
Lean manufacturing
Event
ACM International Conference Proceeding Series
Collections
  • Ingeniería Industrial [182]


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