Rutas de transporte para la distribución y entrega de productos de la empresa embutidos La Madrileña

Abstract

The optimization of transportation routes is vitally important for organizations, since it allows them to improve the distribution of their products and reduce the associated logistics costs. The objective of this study was to optimize transportation routes for products distribution and delivery at Embutidos La Madrileña company. The applied methodology contemplates a diagnosis of the current situation in organization's transportation routes, as well as the identification of the costs associated to distribution of its products, together with an analysis of weighted factors for the selection of an optimization model, method and tool most applicable to the conditions for organization. Thus, a model based on the Travelling Salesman Problem (TSP) model was developed, using the Genetic Algorithm as a solution implemented through Microsoft Excel Solver. Results showed a representative reduction in traveled distances from 518.2 km to 267.2 km per week for mobile 1 and from 421.8 km to 254.6 km per week for mobile 2, which economically represents an estimated weekly saving in the total cost of transportation and distribution of $116.89 for mobile 1 and $93.38 for mobile 2. It is concluded that optimization techniques application are viable strategies to improve the product transportation and distribution operations.