Urban logistics applied to retail distribution of products and services

The impact of the pandemic on the economy due to the constraints of purchasing, transportation and customer distribution has driven the need to use strategies for product delivery in essential sectors such as health and food. The rapid implementation of digital solutions, to give greater relevance to omnichannel purchasing models, has been accompanied by the need to strengthen the analytical component of product delivery in order to respect the commitments that make up a satisfactory level of service. In this project, optimal distribution techniques are presented using geo-referenced maps seeking to improve retail distribution for the case of delivery companies in the city of Lima.
The problem faced by these food outlets is the effect of the lack of technology applied to the development of entrepreneurial models. It is for this reason that in this research we include various digital strategies to improve efficiencies in the delivery of products, especially in the food industry but that can be applied to other types of retail products.

Routing algorithms play an important role in last mile logistics distribution frameworks. These have been studied in the last thirty years, starting with the classical vehicle routing problem with the objective of minimizing the total distance traveled. Subsequently, many variants have been studied in the following years, with combinatorial problem approaches with variants related to the increase in the complexity of the delivery scenario (with time windows, with capacity constraints on the delivery means, with selection of types of delivery means, among others).

Los algoritmos heurísticos y técnicas de programación entera mixta se complementan para diseñar modelos de distribución con tiempos adecuados para diferentes escenarios de distribución.