(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-05-01) BATISTA, Roberto Lopes; UHLMANN, Iracyanne Retto
This work presents a route optimization model for product collection and delivery using georeferencing and genetic algorithms, focusing on courier companies. The study was motivated by the increased demand for delivery services during the COVID-19 pandemic, highlighting the need for improvements in logistics efficiency. The research addresses the importance of optimizing resource use and reducing operational costs, especially in a scenario of growing reliance on e-commerce. Using techniques such as the vehicle routing problem and the traveling salesman problem, the proposed model aims to improve the operational capacity of companies, ensuring better vehicle utilization and route planning.
