Using intermediate points in parcel delivery operations with truck‐based autonomous drones

无人机 卡车 计算机科学 运筹学 运营管理 业务 数学 汽车工程 工程类 遗传学 生物
作者
Bo Lan,Yoshinori Suzuki
出处
期刊:Decision Sciences [Wiley]
被引量:4
标识
DOI:10.1111/deci.12628
摘要

Abstract Autonomous drones are no longer science fiction but are becoming reality. Prior studies have investigated how an autonomous drone can be used in conjunction with a parcel delivery truck, but they all restricted the drones’ launch/recovery sites to customer nodes visited by a truck. In practice, parcel carriers are considering the use of intermediate points (IPs), the sites found along the arcs connecting customer nodes, as drones' launch/recovery points. This means that the academic literature currently lags the industry practice. This article extends the previous works on truck‐and‐drone last‐mile delivery by investigating the conditions under which the use of IPs is beneficial by using both theoretical and empirical approaches. Our results show that, although using IPs is an effective concept that can save the cost (time) of package deliveries by 2.189% on average, the cost saving realized by using IPs can vary notably across carriers depending on their network characteristics. Specifically, our results suggest that the benefit of using IPs becomes high when a network has the following characteristics: (1) low customer density (a small number of customers served per square mile), and (2) large number of time‐sensitive packages (subject to time window constraints). Based on these findings, we provide normative implications on if, when, where, and to what extent IPs can be beneficial for the truck‐and‐drone joint operations in last‐mile logistics.

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