Delivery Operations in Warehouses by Ultracapacitor Powered Drones


Creative Commons License

Yanık F., Boynueğri A. R. , Eren Y.

Istanbul Rumeli University 1st International Scientific Research Conference on Sustainable Engineering and Technology, İstanbul, Turkey, 13 - 15 May 2022, vol.1, no.57, pp.219-229

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.219-229

Abstract

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.