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Transport Task Models with Variable Supplier Availabilities

Author

Listed:
  • Julian Vasilev

    (Department of Informatics, University of Economics Varna, 9002 Varna, Bulgaria)

  • Rosen Nikolaev

    (Department of Statistics and Applied Mathematics, University of Economics Varna, 9002 Varna, Bulgaria)

  • Tanka Milkova

    (Department of Statistics and Applied Mathematics, University of Economics Varna, 9002 Varna, Bulgaria)

Abstract

Background : With regard to the definition of an optimal transport plan for some material flow in the logistics system in literature and practice, the classical transport task model is developed. The minimization of total transport costs is usually considered for optimality. Some modifications to the classical transport task have also been developed. Methods : The article uses the methods of linear optimization. Based on these methods, two modified transport task models have been constructed, which consider the possibility of planning in advance the quantities available from the suppliers of the transported cargo. These models are applicable in SCM for pharmaceuticals with a national logistics hub. Furthermore, a solver in MS Excel is used to determine the optimal solution of optimization models. Results : Two new (modified, extended) models of the transport task have been constructed, in which a preliminary planning of the available quantities of the transported cargo at the suppliers is made. These quantities shall be planned in such a way as to ensure a minimum total transport cost. Conclusions : By applying the proposed new transport task models, lower total transport costs for carrying out imported pharmaceuticals can be ensured compared to an application of the classical transport task model.

Suggested Citation

  • Julian Vasilev & Rosen Nikolaev & Tanka Milkova, 2023. "Transport Task Models with Variable Supplier Availabilities," Logistics, MDPI, vol. 7(3), pages 1-12, July.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:3:p:45-:d:1204425
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    References listed on IDEAS

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