Akademik Veri Yönetim Sistemi
Istanbul Rumeli University 1st International Scientific Research Conference on Sustainable Engineering and Technology, İstanbul, Türkiye, 13 - 15 Mayıs 2022, cilt.1, sa.57, ss.219-229
In recent years, it has become an important target for companies to reduce the fixed
costs (number of workers, number of vehicles, etc.) on each level of the production process as well
as storing the products. In this manner, the autonomous drones operating in closed warehouses
have been often addressed. They provide an alternative solution to the storage problem in terms of
effort, time spent, and occupational safety thanks to their good throughput and ease of access in
confined locations. In this study, a practical delivery algorithm in a closed warehouse has been
presented to achieve assigned duties to carry the payload to the storage positions by utilizing the
autonomous operated drones. The drone fleets have been respectively equipped with lithium-ion
battery and ultracapacitors (UCs) and each case have been simulated to reveal the merits of the
procedure. For the test, we have randomly assigned 7200 payload items subjected to the delivery
process and the matching among the drones and payloads have been realized by the proposed
procedure. The simulation studies have been realized in Matlab® and the results are examined.
The results show that the drone fleet powered by the UCs reveals excellent performance than the
fleet powered by batteries in terms of delivery time and long-term operational costs.