Navegando por Autor "BATISTA, Roberto Lopes"

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Modelo de otimização de roteirização de veículos baseado em georreferenciamento e algoritmo genético
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-08-15) BATISTA, Roberto Lopes; UHLMANN, Iracyanne Retto; http://lattes.cnpq.br/3663501102156953
COVID-19 Accelerated by e-commerce in the logistics sector has been driven by the rapid collection pandemic, however, the infrastructure accompanied by customer service and meeting deadlines do not have the same speed as payment for delivery of payments, late payments and deliveries from clients. The successive costs of the operation and the fierce competition on the part of industrial companies, especially when dealing with the service to the business sector. Process is executed based on the driver's experience, which is experiences without the aid of technological resources. This study addresses the Vehicle Routing Problem (VRP) as one of the most objective in the logistics sector, with the main purpose of proposing a delivery delivery of routes for collection and/or contracts for products contracted in contracts between courier companies and large companies. Thus, a systematic review of the literature was presented, in which an analysis of the state of the art on the PRV and its variants was carried out through the ProK methodology, having identified that the animal used (GA) was the most tool in the planning and routing of vehicles. This perspective used a GA computational intelligence technique in conjunction with complex georeferencing coordinates to solve this industrial logistical problem, not which the exact location of the mapped points was determined. The scenarios were implemented in simulation systems and compared with data from a real operation, with a courier company. At the end of the research, the new route model of possible expected result, through an efficient method, the maximum capacity and the minimum distance by an optimized method for the execution of vehicles and, still, an efficient time, optimized for an optimal solution costs and improved the quality of the studied process.
Modelo de otimização de roteirização de veículos baseado em georreferenciamento e algoritmo genético
(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.