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Implementación del Estudio de Tiempos para Incrementar la Productividad de Mano de Obra del Proceso de Picking en un Operador Logístico

  • Universidad Privada del Norte

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The present research work is developed with the purpose to determine the influence that the time study has on the improvement of labor productivity in the picking process in a logistic operator, using quantitative research. Likewise, a convenience sampling was developed, having a total population of 96,822 items collected in a supermarket in Lima-Perú, there was a sample of 13,049 items during the period of July and September 2021. Finally, after the implementation, the labor productivity during the picking process reaches the expected daily ratio of 50 items/HH, allowing the company to reduce the overtime generated by pickings not carried out, likewise, the economic analysis gives us a NPV of S/12,030.75, an IRR of 85.57% and a Benefit-cost of 1.20, allowing the viability of the project.

Título traducido de la contribuciónTime Study Method Implementation to Increase the Labor Productivity of the Picking Process in a Logistics Operator
Idioma originalEspañol
Título de la publicación alojadaProceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
Subtítulo de la publicación alojadaLeadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023
EditoresMaria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
ISBN (versión digital)9786289520743
EstadoPublicada - 2023
Evento21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 - Buenos Aires, Argentina
Duración: 19 jul. 202321 jul. 2023

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2023-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
País/TerritorioArgentina
CiudadBuenos Aires
Período19/07/2321/07/23

Palabras clave

  • logistic
  • picking
  • productivity
  • supermarket
  • time study

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