Modelo de optimización de la red de transporte primario en el sector de alimentos en Colombia

Hugo Fernando Castro Silva; Marling Carolina Cordero Díaz; Diego José Merchán Fernández

doi:10.24054/rcta.v2i46.4073

Authors

Hugo Fernando Castro Silva Universidad Pedagógica y Tecnológica de Colombia https://orcid.org/0000-0001-6020-402X
Marling Carolina Cordero Díaz Universidad Francisco de Paula Santander https://orcid.org/0000-0002-2913-5588
Diego José Merchán Fernández Universidad Pedagógica y Tecnológica de Colombia https://orcid.org/0009-0000-0504-1432

DOI:

https://doi.org/10.24054/rcta.v2i46.4073

Keywords:

Overland logistics, primary transportation, mixed integer linear programming, optimization model

Abstract

Logistics management is essential for organizations to generate competitive advantages, especially in Colombia, where geographic conditions and poor road infrastructure increase ground transportation costs. This study proposes a mixed-integer nonlinear programming model to optimize ground transportation costs in a food company, considering constraints such as regional warehouse demand, vehicle capacity, tray return, and use of outsourced transportation. The model's results show that optimal vehicle allocation not only reduces costs but also generates environmental benefits by reducing the number of necessary trips and prioritizing vehicles with a lower carbon footprint. Furthermore, the model ensures demand is met in terms of timeliness, quantity, and product conservation, contributing to the companies' competitiveness and reducing the environmental impact of their transportation operations.

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