Application of a CPFR (Collaborative Planning Forecasting and Replenishment) model in a pharmaceutical laboratory in the health sector

Authors

  • Carmen Vanessa Dimas Yate Universidad Libre
  • Cesar Augusto Reyes Universidad Libre
  • Leila Nayibe Ramírez Castañeda Universidad Libre

DOI:

https://doi.org/10.18041/1909-2458/ingeniare.30.7928

Keywords:

Demand planning, forecasting, inventory classification, Supply chain

Abstract

This article proposes to implement a methodology for the development of collaborative alliances between the pharmaceutical laboratory under study and a VIC (Very Important Customer) client of the chain channel; which seeks to reduce inventory costs and the percentage of error in projections and increase the level of service. The development of the project is divided into four phases: diagnosis, definition of key aspects and ABC multicriteria classification, preparation and conciliation of Forescast and, finally, evaluation of efficiency showing analysis of results, where it was found that the high variability of demand In the products selected in the characterization, it does not allow to define a single demand planning model and, although there are technological tools within the Laboratory to estimate the best model, they do not reach the level of detail per Client, their scope is more limited, even defining demand projections to the products it sells.

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References

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Published

2021-05-30 — Updated on 2021-05-30

Issue

Section

Artículos

How to Cite

1.
Dimas Yate CV, Augusto Reyes C, Ramírez Castañeda LN. Application of a CPFR (Collaborative Planning Forecasting and Replenishment) model in a pharmaceutical laboratory in the health sector. ingeniare [Internet]. 2021 May 30 [cited 2025 Dec. 5];15(30):109-24. Available from: https://revistas.unilibre.edu.co/index.php/ingeniare/article/view/7928

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