Logistics risk management in the supply chain in a pharmaceutical distribution organization

Authors
DOI:
https://doi.org/10.47456/bjpe.v11i4.49515
Keywords:
Logistic, Supply Chain, Risk Management, Strategic Supplier Management
Abstract

In the contemporary scenario, one of the main challenges faced by companies concerns the need to manage the flow of products and services that make up the supply chain, with the purpose of identifying how the integration of links and the sharing of information among them occurs. In this context, supply chain management becomes essential for studying the flow of materials, information, and products among the various members that constitute it. Given this scenario, the objective of this study is to model the supply chain of a pharmaceutical company that distributes products in the hinterlands of Paraíba, Brazil. To this end, the initial configuration of the organization's supply chain was established, and mapping strategies were applied, taking into account the location, lead time, relationships, and quantity of product families supplied by the components of the supply chain. Finally, the data obtained through the mapping process were analyzed. As a result, it was possible to observe, at each level of the chain, how many suppliers and customers the company has in each region of the country, the number of product families each supplier delivers, the nature of relationships among the various links in the chain, and which suppliers have longer lead times and how many have shorter ones.

Author Biographies
  1. Hellen Leite Neves, Federal University of Campina Grande

    Graduated in Production Engineering from the Federal University of Campina Grande.

  2. Yuri Laio Teixeira Veras Silva, Federal University of Campina Grande

    Adjunct Professor at the Production Engineering Unit of the Federal University of Campina Grande. He has experience in the major areas of Production Engineering, especially in operations research and simulation, production management, investment analysis, logistics and supply chain, with a focus on the implementation of decision-making support tools, based mainly on mixed integer programming approaches, non-linear, stochastic models, meta-heuristics, artificial intelligence and computational simulation approaches.

References

Barra, G. M. J., Silva, R. O. da, & Silveira, R. I. M. da. (2020). Impacto da greve dos caminhoneiros na gestão de risco em cadeias de suprimentos: O caso de um hospital da Zona da Mata Mineira. Brazilian Journal of Production Engineering, 6(6), 11-28. https://periodicos.ufes.br/bjpe/article/view/30711

Conserva, J. C. V., & Silva, Y. L. T. V. (2024). A hybrid evolutionary metaheuristic proposal applied to job-shop scheduling problems with earliness and tardiness penalties. Revista Gestão & Tecnologia, 24(1), 31-57. https://doi.org/10.20397/2177-6652/2024.v24i1.2583

de Carvalho André, M. V., Da Silva, H. L. R., & Silva, Y. L. T. V. (2024). A local search heuristic for nurse assignment problems with personal preferences. Brazilian Journal of Production Engineering-BJPE, 10(2), 70-81. https://doi.org/10.47456/bjpe.v10i2.44130

Fagundes, M. V. C. (2021). Modelagem da gestão de riscos da cadeia de suprimentos na indústria de petróleo e gás (Tese de doutorado). Escola Politécnica, Universidade Federal da Bahia. Recuperado de https://repositorio.ufba.br/bitstream/ri/35092/1/Tese_Marcus%20Fagundes_PEI.UFBA_VF_OFICIAL.pdf

Gardner, J. T., & Cooper, M. C. (2003). Strategic supply chain mapping approaches. Journal of Business Logistics, 24(2), 37–64.

Ghadge, A., Dani, S., Ojha, R., & Caldwell, N. (2017). Using risk sharing contracts for supply chain risk mitigation: A buyer-supplier power and dependence perspective. Computers & Industrial Engineering, 103, 262–270. https://doi.org/10.1016/j.cie.2016.11.034

Gohr, C. F., & Silva, Y. L. T. V. (2015). Gerenciando o relacionamento entre recursos estratégicos e prioridades competitivas segundo a visão baseada em recursos. Revista Produção Online, 15(2), 734-757. https://doi.org/10.14488/1676-1901.v15i2.1939

He, P., Wang, T. Y., Shang, Q., Zhang, J., & Xu, H. (2024). Knowledge mapping of e-commerce supply chain management: a bibliometric analysis. Electronic Commerce Research, 24(3), 1889-1925. https://doi.org/10.1007/s10660-022-09609-w

Ho, W., Zheng, T., & Yildiz, H. (2015). Supply chain risk management: A literature review. International Journal of Production Research, 53(16), 5031-5069. https://doi.org/10.1080/00207543.2015.1030467

Jahani, H., Abbasi, B., Alavifard, F., & Talluri, S. (2018). Supply chain network redesign with demand and price uncertainty. International Journal of Production Economics, 205, 287-312. https://doi.org/10.1016/j.ijpe.2018.08.022

Li, G., Fan, H., Lee, P. K. C., & Cheng, T. C. E. (2015). Joint supply chain risk management: An agency and collaboration perspective. International Journal of Production Economics, 164, 83-94. https://doi.org/10.1016/j.ijpe.2015.02.021

Mubarik, M. S., Naghavi, N., Mubarik, M., Kusi-Sarpong, S., Khan, S. A., Zaman, S. I., & Kazmi, S. H. A. (2021). Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility. Journal of Cleaner Production, 292, 126058. https://doi.org/10.1016/j.jclepro.2021.126058

Nunes, P. dos S. A., Souza, K. I. de, Bezerra, C. A., & Silva, Y. L. T. V. M. (2023). Mapeamento e análise da cadeia de suprimentos: Um estudo de caso na indústria calçadista. Brazilian Journal of Production Engineering, 9(2), 99–112. https://doi.org/10.47456/bjpe.v9i2.40869

Ruiz, L. L., Mendes, J. V., & Da Silva, J. E. A. R. (2016). Análise da cadeia de suprimentos de uma empresa química utilizando mapa de fluxo de valor. Revista Reuna, 21(3), 73-104.

Santos, M. E. P., Silva, Y. L. T. V., & De Araujo, M. C. B. (2025). An adaptive local search for large-scale parallel machine scheduling in textile production with release dates and sequence-dependent setup times. International Journal of Industrial Engineering Computations. 16, 693-708. https://doi.org/10.5267/j.ijiec.2025.4.004

Silva, K. K. N., Silva, Y. L. T. V., & de Andrade, P. R. M. (2024). Mapeamento de Critérios Competitivos e Análise de Posicionamento Estratégico: Estudo de Caso. Revista Gestão em Análise, 13(3), 7-24. https://doi.org/10.12662/2359-618xregea.v13i3.p7-24.2024

Vishnu, C. R., Sridharan, R., & Kumar, P. R. (2019). Supply chain risk management: models and methods. International Journal of Management and Decision Making, 18(1), 31-75. https://doi.org/10.1504/IJMDM.2019.10013542

Yoseph, G. K., & Sunitiyoso, Y. (2025). Navigating supply chain risk in the pharmaceutical industry: a bibliographic mapping and systematic review using global supply chain risk framework. Journal of Global Operations and Strategic Sourcing. https://doi.org/10.1108/JGOSS-06-2024-0050

Cover Image
“Three workers in a distribution warehouse, wearing orange reflective vests and safety helmets, smile while posing for a selfie among tall shelves stocked with boxes. The image illustrates a logistics environment related to supply chain risk management.”
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Published
2025-10-28
Issue
Vol. 11 No. 4 (2025): Regular Issue (October - December) *Continuous Publication of Articles
Section
LOGISTICS
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Copyright (c) 2025 Neves, H. L., & Silva, Y. L. T. V.

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How to Cite

Neves, H. L., & Silva, Y. L. T. V. (2025). Logistics risk management in the supply chain in a pharmaceutical distribution organization. Brazilian Journal of Production Engineering, 11(4), 85-99. https://doi.org/10.47456/bjpe.v11i4.49515