International Journal of
Innovation, Management and Technology

Editor-In-Chief: Prof. Jin Wang
Frequency: Semi-annual
ISSN: 2010-0248 (Print)
E-mali: editor@ijimt.org
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IJIET 2023 Vol.14(4): 138-142
doi: 10.18178/ijimt.2023.14.4.950

Management Model to Increase Inventory Rotation in SMEs in the Mining Industry

Zenia Beatriz Campos-Espejo , Anthony Andre Coronado-Zamalloa , Juan Carlos Quiroz-Flores* , Martín Collao-Diaz , Alberto Flores-Pérez

  • Facultad de Ingeniería, Universidad de Lina, Perú.

* Corresponding author

Abstract

Logistics is an area that determines, in many cases,the prosperity of a company. Regardless of its size, the searchfor new tools, procedures and management techniques hasincreased in recent years. In the mining sector, the 49,9% ofcompanies do not have an inventory control mechanism;therefore, a low turnover of this. This can be for three reasons:inefficient purchasing policy, inadequate demand planning, andinadequate storage method. For this reason, a model conformedby the following tools was developed: ABC classification, JIT,MRP, and inventory management. Likewise, the ArenaSoftware was used in an SMEs that imported drill bits for themining industry to validate the described model. The resultswere a 62% improvement over the purchasing policy, a 73%decrease in cycle time, and only the use of one worker for theimport process, allowing the other worker to be in another area.Finally, with this research is possible to conclude that correctinventory management has a positive impact on the company'seconomy.

Keywords

  • ABC
  • JIT
  • MRP
  • Inventory management
  • inventory rotation
IJIMT-V14N4-950

How to Cite

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Zenia Beatriz Campos-Espejo, Anthony Andre Coronado-Zamalloa, Juan Carlos Quiroz-Flores, Martín Collao-Diaz, and Alberto Flores-Pérez, "Management Model to Increase Inventory Rotation in SMEs in the Mining Industry," International Journal of Innovation, Management and Technology, vol. 14, no. 4, pp. 138-142, 2023. https://doi.org/10.18178/ijimt.2023.14.4.950

Copyright & License

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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