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A Multi-Product and Multi-Period Inventory Planning Model to Optimize the Supply of Medicines in a Pharmacy in Barranquilla, Colombia

Author

Listed:
  • Katherinne Salas-Navarro

    (Department of Productivity and Innovation, Universidad de la Costa, Street 58 55-66, Barranquilla 080002, Colombia)

  • Jousua Pardo-Meza

    (Department of Productivity and Innovation, Universidad de la Costa, Street 58 55-66, Barranquilla 080002, Colombia)

  • Juan Torres-Prentt

    (Department of Productivity and Innovation, Universidad de la Costa, Street 58 55-66, Barranquilla 080002, Colombia)

  • Juan Rivera-Alvarado

    (Facultad de Administración y Negocios, Universisdad Simón Bolivar, Avenue 59 59-65, Barranquilla 080002, Colombia)

Abstract

Background : Supply chains in pharmaceutical industry encounter constant challenges in balancing the availability of medicine with cost efficiency, particularly in developing regions with limited storage capacity, as regulatory constraints increase operational complexity. Methods : This research focuses on developing a multi-product, multi-period inventory planning model designed to optimize the supply process for a pharmacy located in Barranquilla, Colombia. The methodology involves conducting field studies within the pharmaceutical sector, which includes regular visits to pharmacies, interaction with employees, and analysis of historical data collected over a 16-month period. Results : The primary goal is to minimize costs while ensuring that products remain available to customers, considering various internal and external factors. Several scenarios will be examined to evaluate different alternatives for enhancing the supply process. Initial findings suggest that the proposed model could reduce inventory planning costs by approximately 15.78% by classifying antibiotics, which in turn leads to better resource utilization and improved order management. Conclusions : The proposed model minimizes the inventory planning costs associated with antibiotic management, ultimately leading to improved resource utilization and more accurate order management.

Suggested Citation

  • Katherinne Salas-Navarro & Jousua Pardo-Meza & Juan Torres-Prentt & Juan Rivera-Alvarado, 2025. "A Multi-Product and Multi-Period Inventory Planning Model to Optimize the Supply of Medicines in a Pharmacy in Barranquilla, Colombia," Logistics, MDPI, vol. 9(4), pages 1-21, October.
  • Handle: RePEc:gam:jlogis:v:9:y:2025:i:4:p:151-:d:1776191
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    References listed on IDEAS

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    1. Fabián Silva-Aravena & Irlanda Ceballos-Fuentealba & Eduardo Álvarez-Miranda, 2020. "Inventory Management at a Chilean Hospital Pharmacy: Case Study of a Dynamic Decision-Aid Tool," Mathematics, MDPI, vol. 8(11), pages 1-20, November.
    2. Shaju George & Safaa Elrashid, 2023. "Inventory Management and Pharmaceutical Supply Chain Performance of Hospital Pharmacies in Bahrain: A Structural Equation Modeling Approach," SAGE Open, , vol. 13(1), pages 21582440221, January.
    3. Xinhui Zhang & Doug Meiser & Yan Liu & Brett Bonner & Lebin Lin, 2014. "Kroger Uses Simulation-Optimization to Improve Pharmacy Inventory Management," Interfaces, INFORMS, vol. 44(1), pages 70-84, February.
    4. Amiri-Aref, Mehdi & Klibi, Walid & Babai, M. Zied, 2018. "The multi-sourcing location inventory problem with stochastic demand," European Journal of Operational Research, Elsevier, vol. 266(1), pages 72-87.
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