Rediseño de las rutas de transporte de una empresa comercializadora de insumos de construcción

Abstract

CONDITION FOR PUBLICATION OF PROJECT. The organization under analysis is dedicated to the nationwide commercialization and distribution of construction materials. It currently operates with a single distribution center and a fleet of 8 vehicles. The objective of this project is to redesign the company’s distribution routes through the application of a mathematical routing model that incorporates environmental and operational constraints. The justification lies in the need to reduce logistics costs, minimize traveled distances and delivery times, and contribute to the sustainability of operations. For the development, the DMADV methodology was applied to structure a mixed-integer programming model based on multi-depot routing, implemented in Python, and solved and simulated under various conditions on the Google Colab platform, using data obtained from one week of operations. The results showed reductions of 14% in traveled distance, CO₂ emissions, and weekly travel hours, as well as a 7% decrease in transportation costs. It is concluded that the proposed model enhances logistics efficiency, ensures regulatory compliance, and contributes to the overall sustainability of the operation. Keywords: Route optimization, sustainable logistics, mixed-integer programming, MDVRP.