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Implementing Lean Manufacturing and SLP tools to reduce order errors in a pharmaceutical warehouse in Peru

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Date
2023
Author(s)
Ramirez Cruz, Cesar Alejandro
Salirrosas Espinoza, Leonardo
Quiroz Flores, Juan Carlos
Metadata
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Abstract
The storage of pharmaceutical products is often complex, as multiple factors can determine whether a product can be sold to customers or must be discarded. It is here where the everyday problems of a warehouse are usually aggravated, as it would be the disorder in the aisles, poor distribution of work areas, poor handling of products or misreading of orders, causing unnecessary reprocessing, a request for time in tasks that do not add value to the product and above all an over cost in warehouse activities. Therefore, the following research proposes the application of the 5S, Standardized Work, and SLP or Systematic Layout Planning tools so that the problems present in the warehouse to be investigated are mitigated. A preliminary diagnosis was made to the warehouse to determine the primary and secondary causes of the problem, where it was found that there was a high percentage of errors in the orders of 6.59%, so then we proceeded to the implementation of the tools through a pilot test and a simulation performed in the Arena software to corroborate the results. In the end, an analysis of the proposed indicators was carried out, where a reduction in order errors of up to 2.36% was observed.
URI
https://hdl.handle.net/20.500.12724/18489
DOI
https://doi.org/10.1145/3587889.3588199
How to cite
Ramirez-Cruz, C. A., Salirrosas-Espinoza, L. & Quiroz-Flores, J. C. (2023). Implementing Lean Manufacturing and SLP tools to reduce order errors in a pharmaceutical warehouse in Peru. In Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications (pp. 192-198). https://doi.org/10.1145/3587889.3588199
Publisher
Association for Computing Machinery
Subject
Medicamentos
Almacenamiento industrial
Producción eficiente
Drugs
Industrial storage
Lean manufacturing
Event
ACM International Conference Proceeding Series
Collections
  • Ingeniería Industrial [182]


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