Collaborative delivery problem of trucks and multiple drones: an en‐route operation with flexible launch positions

无人机 卡车 计算机科学 航空学 运筹学 航空航天工程 工程类 生物 遗传学
作者
Bing Han,Tianze Chi,Zhengyi Sun
出处
期刊:International Transactions in Operational Research [Wiley]
卷期号:33 (6): 4072-4109 被引量:2
标识
DOI:10.1111/itor.70045
摘要

Abstract Drones are gradually being used in logistics, and collaborative systems combining trucks and drones are proposed for last‐mile delivery. Therefore, it is a meaningful study to improve the efficiency of collaborative delivery of truck–drone system. Based on the truck–drone collaborative delivery problem with en‐route operations, this paper introduces a new concept of flexible launch point, which is to set up multiple non‐customer stops in the truck's route for launching drones. In light of this concept, an en‐route operation with flexible positions in the truck–drone collaborative delivery problem is proposed. The problem is formulated as a mixed integer linear program that aims to minimize customer waiting times, determine the optimal route for the truck with multi‐drones, and establish the optimal flexible launch positions for the drones. We developed a variable neighborhood search algorithm and conducted large‐scale experiments. The experiments have demonstrated that the new collaborative approach maximizes drone utilization, expands the range of drone services, and ensures flexible launch. The en‐route operation with flexible launch positions presented in this paper provides innovative ideas for further application of trucks with multi‐drones in last‐mile delivery. This is also relevant for other scenarios, such as emergency management and routine inspections, which involve collaboration between trucks and drones.
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