Um sistema para apoiar especialistas no gerenciamento de entregas de produtos para marcenarias

Abstract

For companies that fulfill custom customer orders, such as those in the custom furniture industry, managing deliveries efficiently—meaning in less time and with lower fuel consumption—is a significant challenge. In this context, the objective of this work is to identify an alternative for finding the shortest possible delivery routes to support managers in the logistical planning of orders. This work involved planning and developing a system to manage customer orders, as well as developing search algorithms to determine the delivery sequence that best serves all customers. An experiment was conducted with customers in a city, where it was observed that the algorithm integrated with A* outperformed other adopted algorithms, both in terms of the total distance between customer visits and the algorithm's execution time. Thus, the system allowed managers to track orders and obtain route suggestions to serve all customers.