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

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6 Citas (Scopus)

Resumen

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.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
EditorialAssociation for Computing Machinery
Páginas192-198
-7
ISBN (versión digital)9781450398527
DOI
EstadoIndizado - 9 ene. 2023
Publicado de forma externa
Evento10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023 - Rome, Italia
Duración: 9 ene. 202311 ene. 2023

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
País/TerritorioItalia
CiudadRome
Período9/01/2311/01/23

Nota bibliográfica

Publisher Copyright:
© 2023 ACM.

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