Application of the 𝜌-median method for the location of distribution centers: a case study in the food industry

Authors
Keywords:
Distribution center, supply chain, facility location
Abstract

In a dynamic business environment, customer interaction is crucial for companies seeking to optimize logistics processes and strengthen their competitive advantage. This study aims to identify the best locations for three Distribution Centers (DCs) in Ceará for a company in the food industry. It considers the demand history of 114 cities and the existing units in Eusébio and Crato. The methodology applies the 𝜌-median method to determine locations that minimize distribution costs by balancing distance, cost, and service level. The mathematical model seeks to refine logistics by reducing operational expenses and increasing delivery speed. As a result, Sobral, Quixeramobim, and Limoeiro do Norte were identified as the most suitable cities for expansion. Consequently, the redistribution of operations led to a reduction of approximately R$ 1,263 in the average cost per ton, improving the service level to meet growing demand more efficiently.

Author Biographies
  1. Antônio Douglas Araújo dos Santos, Federal University of Ceará
  2. Juliane Maria Alves Costa, Federal University of Ceará
  3. Kamille da Silva Costa, Federal University of Ceará
  4. Heráclito Lopes Jaguaribe Pontes, Federal University of Ceará
  5. Levi Ribeiro Abreu, Federal University of Ceará
References

Abreu, L. R., et al. (2023). A decision tree model for the prediction of the stay time of ships in Brazilian ports. Engineering Applications of Artificial Intelligence, 117, 105634. https://doi.org/10.1016/j.engappai.2022.105634

Albertin, M. R., et al. (2015). Flexible benchmarking: a new reference model. Benchmarking: An International Journal, 22(5), 920-44. http://repositorio.ufc.br/handle/riufc/13115

Albertin, M. R., et al. (2015). Industrial performance assessment through the application of a benchmarking and monitoring system. In Dynamics in Logistics: Proceedings of the 4th International Conference LDIC, 2014 Bremen, Germany (643-53). Springer International Publishing. http://repositorio.ufc.br/handle/riufc/13869

Ballou, R. H. (2006). Gerenciamento da cadeia de suprimentos/logística empresarial (5. ed.). Bookman.

Bertrand, J. W. M. & Fransoo, J. C. (2002). Modelling and simulation: operations management research methodologies using quantitative modeling. International Journal of Operations & Production Management, 22(3), 241-64. https://doi.org/10.4324/9780203886816

Bowersox, D. J., Closs, D. J., Cooper, M. B., & Bowersox, J. C. (2014). Gestão logística da cadeia de suprimentos (4. ed.). AMGH.

Casarotto Filho, N. & Kopittke, B. H. (2020). Análise de investimentos: manual para solução de problemas e tomadas de decisão (12. ed.). Atlas.

Cauchick, P., Morabito, R., & Pureza, V. (2011). Metodologia de Pesquisa em Engenharia de Produção (2. ed.). Elsevier Brasil.

Chin, S. Y., Pontes, H. L. J., & Porto, A. L. V. (2005). Retrieving process analysis in a parts distribution center: a case study of manual trolley fleet substitution. In Proceedings of the Winter Simulation Conference. IEEE.

Ching, H. Y. (2010). Gestão de estoques na cadeia de logística integrada: supply chain (4. ed.). Atlas.

Christopher, M. (2018). Logística e gerenciamento da cadeia de suprimentos. Cengage.

Council of Supply Chain Management Professionals (CSCMP). (2013). CSCMP Supply Chain Management Definitions and Glossary: definitions of supply chain management. CSCMP. https://cscmp.org/CSCMP/cscmp/educate/scm_definitions_and_glossary_of_terms.aspx

Corrêa, H. L. (2019). Administração de cadeias de suprimentos e logística: integração na era da Indústria 4.0 (2. ed.). Atlas.

Daskin, M. S. (2013). Network and Discrete Location: Models, Algorithms, and Applications (2nd ed.). John Wiley & Sons.

Drezner, Z. (1995). Facility Location: A Survey of Applications and Methods (1. ed.). Springer-Verlag.

Durán-Mateluna, C., Alès, Z., & Elloumi, S. (2023). An efficient Benders decomposition for the p-median problem. European Journal of Operational Research, 308(1), 84-96. https://doi.org/10.1016/j.ejor.2022.11.033

Gil, A. C. (2022). Como elaborar projetos de pesquisa (7. ed.). Atlas. https://integrada.minhabiblioteca.com.br/books/9786559771653

Grant, D. B. (2013). Gestão de logística e cadeia de suprimentos (1. ed.). Saraiva.

IBGE - Instituto Brasileiro de Geografia e Estatística. (2024). API de Localidades. https://servicodados.ibge.gov.br/api/docs/localidades

Martins, I. & Pizzolato, N. D. (2004). Utilização da p-mediana para Simulação de Bases Táticas de Helicópteros Policiais. XII SIMPEP, Bauru - SP.

Novaes, A. G. (2021). Logística e gerenciamento da cadeia de distribuição: estratégia, avaliação e operação (5. ed.). GEN Atlas. https://integrada.minhabiblioteca.com.br/books/9788595157217

Pizzolato, N. D., Raupp, F. M. P., & Alzamora, G. S. (2012). Revisão de desafios aplicados em localização com base em modelos da p-mediana e suas variantes. Revista Eletrônica Pesquisa Operacional para o Desenvolvimento, 4(1), 13-42. https://www.podesenvolvimento.org.br/podesenvolvimento/article/view/174

Reid, D. R. & Sanders, N. R. (2012). Operations management: an integrated approach (5. ed.). John Wiley & Sons.

Siaudzionis Filho, F. A. B., et al. (2018). Application of visual management panel on an airplane assembly station. International Journal of Productivity and Performance Management, 67(6), 1045-62. https://doi.org/10.1108/IJPPM-09-2016-0189

Silva, E. L. & Menezes, E. M. (2025). Metodologia da pesquisa e elaboração de dissertação (4. ed.). UFSC. https://encurtador.com.br/P9QZD

Turrioni, J. B. & Mello, C. H. P. (2012). Metodologia de pesquisa em engenharia de produção. Universidade Federal de Itajubá - UNIFEI

Cover Image
"Cover image of the Brazilian Journal of Production Engineering featuring orange industrial robots operating in a modern warehouse, with one robot carrying a cardboard box and automated storage systems in the background. The title reads 'Smart Logistics: Where to Distribute Better?', by Santos, Costa, Costa, Pontes & Abreu (2026). Institutional logos appear along the bottom."
Published
2026-11-12
Section
LOGISTICS
License

Copyright (c) 2026 Santos, A. D. A. dos, Costa, J. M. A., Costa, K. da S., Pontes, H. L. J., & Abreu, L. R.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All works published in the Brazilian Journal of Production Engineering (BJPE) are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). This means that: Anyone can copy, distribute, display, adapt, remix, and even commercially use the content published in the journal; Provided that due credit is given to the authors and to BJPE as the original source; No additional permission is required for reuse, as long as the license terms are respected. This policy complies with the principles of open access, promoting the broad dissemination of scientific knowledge. 🔗 Click here to access the full license

How to Cite

Santos, A. D. A. dos, Costa, J. M. A., Costa, K. da S., Pontes, H. L. J., & Abreu, L. R. (2026). Application of the 𝜌-median method for the location of distribution centers: a case study in the food industry. Brazilian Journal of Production Engineering, 12(4), 165-177. https://doi.org/10.47456/bjpe.v12i4.52631