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Implementation of a Mathematical Model to Improve Sustainability in the Handling of Transport Costs in a Distribution Network

Author

Listed:
  • José Manuel Velarde

    (Department of Industrial Engineering, Instituto Tecnológico de Sonora, Navojoa, Sonora 85800, Mexico)

  • Susana García

    (Department of Industrial Engineering, Instituto Tecnológico de Sonora, Navojoa, Sonora 85800, Mexico)

  • Mauricio López

    (Department of Industrial Engineering, Instituto Tecnológico de Sonora, Navojoa, Sonora 85800, Mexico)

  • Alfredo Bueno-Solano

    (Department of Industrial Engineering, Instituto Tecnológico de Sonora, Cd. Obregon, Sonora 85000, Mexico)

Abstract

This work considers the application of a mathematical model using mixed-integer linear programming for the vehicle routing problem. The model aims at establishing the distribution routes departing from a distribution center to each customer in order to reduce the transport cost associated with these routes. The study considers the use of a fleet of different capacities in the distribution network, which presents the special characteristic of a star network and which must meet different efficiency criteria, such as the fulfillment of each customer’s demand, the vehicle carrying capacity, work schedule, and sustainable use of resources. The intention is to find the amount of equipment suitable to satisfy the demand, thus improving the level of customer service, optimizing the use of both human and economic resources in the distribution area, and leveraging maximum vehicle capacity usage. The MILP mixed-integer linear programming mathematical model of the case study is presented, as well as the corresponding numerical study.

Suggested Citation

  • José Manuel Velarde & Susana García & Mauricio López & Alfredo Bueno-Solano, 2019. "Implementation of a Mathematical Model to Improve Sustainability in the Handling of Transport Costs in a Distribution Network," Sustainability, MDPI, vol. 12(1), pages 1-10, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:63-:d:300020
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    References listed on IDEAS

    as
    1. Darat Dechampai & Ladda Tanwanichkul & Kanchana Sethanan & Rapeepan Pitakaso, 2017. "A differential evolution algorithm for the capacitated VRP with flexibility of mixing pickup and delivery services and the maximum duration of a route in poultry industry," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1357-1376, August.
    2. Monique Guignard, 2007. "En hommage à Joseph-Louis Lagrange et à Pierre Huard," Annals of Operations Research, Springer, vol. 149(1), pages 103-116, February.
    Full references (including those not matched with items on IDEAS)

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