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Economic and environmental location of logistics integration centers: the Brazilian soybean transportation case

Author

Listed:
  • Conrado V. Plaza

    (Federal University of Rio de Janeiro
    Federal University of Rio de Janeiro-UFRJ/Macaé)

  • Vanessa de A. Guimarães

    (Federal Center for Technological Education Celso Suckow da Fonseca-CEFET/RJ)

  • Glaydston Ribeiro

    (Federal University of Rio de Janeiro)

  • Laura Bahiense

    (Federal University of Rio de Janeiro)

Abstract

This paper presents a study to locate logistics integration centers (LICs) by applying a capacitated multi-layer location-allocation mathematical model, considering economic (transport and installation costs) and environmental criteria (CO $$_2$$ 2 emissions). This model is applied on scenarios that include information of the National Logistics and Transport Plan about soybean transport in Brazil. The economic and environmental gains obtained by the optimized location of LICs are evaluated, indicating savings in both logistics costs (between 22 and 40%) and carbon emissions (between 24 and 38%). The application of the proposed mathematical model supports the decision-makers to elaborate better strategic plans that can improve the utilization of the intermodal transport, making the logistic system operations more efficient, both economically and environmentally.

Suggested Citation

  • Conrado V. Plaza & Vanessa de A. Guimarães & Glaydston Ribeiro & Laura Bahiense, 2020. "Economic and environmental location of logistics integration centers: the Brazilian soybean transportation case," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 749-771, October.
    • Handle: RePEc:spr:topjnl:v:28:y:2020:i:3:d:10.1007_s11750-020-00566-x
    DOI: 10.1007/s11750-020-00566-x
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    References listed on IDEAS

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    Cited by:

    1. Malk Almalki & Mohammed Alkahtani, 2022. "Allocation of Regional Logistics Hubs and Assessing Their Contribution to Saudi Arabia’s Logistics Performance Index Ranking," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    2. Gustavo Rodrigues de Morais & Yuri Clements Daglia Calil & Gabriel Faria de Oliveira & Rodney Rezende Saldanha & Carlos Andrey Maia, 2023. "A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil," Sustainability, MDPI, vol. 15(2), pages 1-27, January.

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