SILVA, T. B.; http://lattes.cnpq.br/6080890396029130; SILVA, Tamires Bezerra da.
Résumé:
The industrial food sector is a market that has been growing a lot, so it is necessary to distribute large quantities of products over long distances. In this context, logistics has become indispensable for the execution of business activities, especially regarding the physical distribution of products, as it is the same to deliver goods at the exact time and place, so that the expectations of its consumers are met and that the cost of the carrier vehicle is as low as possible. Given this scenario, the present paper presents the problem of vehicle routing in a non-perishable food industry, performed empirically, without any structured method to perform the studied routes. For this, the closest neighbor's heuristic method was applied, which defined the sequence of points of care of each route. Then, as a solution to the problem, the programmed routing plan can be elaborated regarding the mileage, travel time, vehicle and days required to deliver products for the analyzed routes. The proposed plan proved to be effective in reducing transportation costs, as the number of trucks was reduced from five to three, so fuel and other vehicle costs can be reduced, as well as reducing the number and costs of drivers, leading to a 40% reduction in driver-related logistics costs.
