Methodology for implementing a collaborative planning, forecasting and replenishment (CPFR) model in a pharmaceutical laboratory in the health sector

Main Article Content

Leila Nayibe Ramírez Castañeda
Carmen Vanesa Dimas
Cesar Augusto Reyes

Abstract

This article proposes to implement a methodology for the development of collaborative alliances between the 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, efficiency assessment showing analysis of results.


 


Article Details

Section

Artículos de Investigación Científica y Tecnológica

How to Cite

[1]
L. N. Ramírez Castañeda, C. V. Dimas, and C. A. Reyes, “Methodology for implementing a collaborative planning, forecasting and replenishment (CPFR) model in a pharmaceutical laboratory in the health sector”, I, vol. 16, no. 31, pp. 50–60, Oct. 2021, doi: 10.26620/uniminuto.inventum.16.31.2021.50-60.

References

J. P. Sepulveda Rojas and Y. Frein, “Coordination and demand uncertainty in supply chains,” Prod. Plan. Control, vol. 19, no. 7, pp. 712–721, Oct. 2008, https://doi.org/10.1080/09537280802573965

A. Dondossola, J. C. Zilli, D. Volpato, and A. C. P. Vieira, “Internacionalização de Empresas Brasileiras,” Rev. Gestão Sustentabilidade, vol. 1, no. 1, pp. 1–20, Feb. 2019, doi: 10.36661/2596-142x.201 9v1i1.7896.

I. Chen and A. Paulraj, “Towards a theory of supply chain management: the constructs and measurements,” J. Oper. Manag., 2004, Accessed: May 11, 2017. [Online]. Available: http://www.sciencedirect. com/science/article/pii/S0272696304000063.

S. Karadayi-Usta, “An interpretive structural fuzzy analysis for CPFR implementation barriers: A food supply chain case study,” in Advances in Intelligent Systems and Computing, Jul. 2020, vol. 1029, pp. 423–431, doi: 10.1007/978-3-030-23756-1_53.

J. Antonio Díaz-Batista and D. Pérez-Armayor, “Inventory levels optimization in a supply chain.”

Y. Yao, R. Kohli, S. A. Sherer, and J. Cederlund, “Learning curves in collaborative planning, forecasting, and replenishment (CPFR) information systems: An empirical analysis from a mobile phone manufacturer,” J. Oper. Manag., vol. 31, no. 6, pp. 285–297, Sep. 2013, doi: 10.1016/j.jom. 2013.07.004.

F. Panahifar, P. J. Byrne, and C. Heavey, “A hybrid approach to the study of CPFR implemen-tation enablers,” Prod. Plan. Control, vol. 26, no. 13, pp. 1090–1109, Oct. 2015, doi: 10.1080/09537287. 2015.1011725.

L. Cassivi, “Collaboration planning in a supply chain,” Supply Chain Manag., vol. 11, no. 3, pp. 249–258, 2006, doi: 0.1108/13598540610662158.

P. Danese, “The extended VMI for coordinating the whole supply network,” J. Manuf. Technol. Manag., vol. 17, no. 7, pp. 888–907, 2006, doi: 10.1108/ 17410380610688223.

M. Singer and P. Donoso, “Internal supply chain management in the Chilean sawmill industry,” Int. J. Oper. Prod. Manag., vol. 27, no. 5, pp. 524–541, 2007, doi: 10.1108/01443570710742393.

T. López García and M. Cano Flores, “El foda: una técnica para el análisis de problemas en el contexto de la planeación en las organizaciones .” Accessed: Jun. 28, 2021. [Online]. Available: https://www. uv.mx/iiesca/files/2013/01/foda1999-2000.pdf.

H. Ponce Talacón, “‘Contribuciones a la Economía’ septiembre 2006 una revista académica con el Número Internacional Normalizado de Publicaciones Seriadas ISSN 16968360,” pp. 1–16, 2006.

“La matriz de Vester para identificar causas y efectos + Modelo en EXCEL.” https://www.ingenioempresa. com/matriz-de-vester/ (accessed Jun. 28, 2021).

“Inicio - Sanofi en Colombia.” https://www.sanofi. com.co/ (accessed Jun. 28, 2021).