Published Jun 17, 2021



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Francisco Andrés Chuchoque-Urbina, MSc https://orcid.org/0000-0003-2982-5906

Martha Patricia Caro-Gutierrez, PhD https://orcid.org/0000-0003-2403-3838

Carlos Eduardo Montoya-Casa, PhD https://orcid.org/0000-0002-6472-8485

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Abstract

Objective: Designing a CPFR (collaborative planning forecasting and replenishment) model for the delivery of diabetes and arterial hypertension medicines from a health insurance company (EPS) to a healthcare provider (IPS) and comparing the performance of this collaborative chain to that of the traditional one through their corresponding supply chain costs. Methodology: A series of collaboration agreements involved in joint planning were established according to the designed CPFR model. This allowed (i) raising the levels of interaction between the health insurance company, the healthcare provider, the supplying pharmaceutical laboratories, and the patients; (ii) determining demand forecasts; (iii) locating distribution centers; and (iv) defining medicine distribution strategies oriented to the minimization of costs along the chain. Subsequently, the main differences between the current operation and CPFR models at the level of structure and decisions were characterized and then evaluated in terms of supply chain costs. Results: The significant impact of the proposed model is demonstrated. The total monthly cost of operating the chain is reduced by 11.2 % on average. Within the proposed innovation, an outstanding place is held by the savings reached in the purchase and distribution of medicines from the laboratory to the distribution centers, and by the customer satisfaction differences, which increased 15.3 % on average during the studied six-month period.

Keywords

CPFR, medicamentos, optimización, cadena de abastecimientoCPFR, Medicine, optimization supply chain

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How to Cite
Chuchoque-Urbina, F. A., Caro-Gutiérrez, M. P., & Montoya-Casas, C. E. (2021). Design of a CPFR, Location, Inventory and Routing Approach to Diabetes and High Blood Pressure Medicine Supply Network Planning . Ingenieria Y Universidad, 25. https://doi.org/10.11144/Javeriana.iued25.dcli
Section
Special Section: Health Care Engineering

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