Comprehensive evaluation of Logistics Delivery Unmanned Aerial Vehicles Based on Entropy Method
- DOI
- 10.2991/978-94-6463-570-6_77How to use a DOI?
- Keywords
- Logistics delivery; comprehensive evaluation; entropy method; unmanned aerial vehicles (UAVs)
- Abstract
With the continuous progress of technology, unmanned aerial vehicles(uav) delivery, as a new logistics mode, has gradually attracted people’s attention. Compared with traditional delivery methods, UAV delivery has advantages such as fast speed, low cost, and high flexibility. However, due to many challenges faced by UAV delivery in practical applications, such as weather conditions, delivery time, and geographical environment, an evaluation model is needed to assess the adaptability of UAVs for logistics delivery. Based on a summary of domestic and foreign research and a survey of mature civil UAVs in China, this paper uses the entropy method to construct an evaluation system for the safety, delivery capability and application control of logistics delivery UAVs for comprehensive evaluation. Based on the results of the evaluation, a more reasonable evaluation model for logistics delivery UAVs is proposed, providing reference for the development of UAV delivery in logistics enterprises in China.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ziang Zhang AU - Minghai Lv PY - 2024 DA - 2024/11/22 TI - Comprehensive evaluation of Logistics Delivery Unmanned Aerial Vehicles Based on Entropy Method BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 780 EP - 787 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_77 DO - 10.2991/978-94-6463-570-6_77 ID - Zhang2024 ER -