{"title":"Using intermediate points in parcel delivery operations with truck-based autonomous drones","authors":"Bo Lan, Yoshinori Suzuki","doi":"10.1111/deci.12628","DOIUrl":null,"url":null,"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.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"52 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DECISION SCIENCES","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1111/deci.12628","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
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.
自主无人机不再是科幻小说,而是正在成为现实。先前的研究已经探讨了如何将自动无人机与包裹递送卡车结合使用,但这些研究都将无人机的发射/回收地点限制在卡车所访问的客户节点上。在实践中,包裹承运商正在考虑使用中间点(IP),即沿着连接客户节点的弧线发现的站点,作为无人机的发射/回收点。这意味着目前的学术文献滞后于行业实践。本文扩展了之前关于卡车和无人机最后一英里配送的研究,通过理论和实证方法研究了在哪些条件下使用中转站是有益的。我们的研究结果表明,虽然使用 IP 是一个有效的概念,可以将包裹投递的成本(时间)平均节省 2.189%,但不同运营商的网络特点不同,使用 IP 所实现的成本节省也会有明显差异。具体而言,我们的研究结果表明,当网络具有以下特征时,使用 IPs 的效益会变得很高:(1)客户密度低(每平方英里服务的客户数量少);(2)时间敏感型包裹数量多(受时间窗口限制)。基于这些发现,我们就 IP 是否、何时、何地以及在多大程度上有利于最后一英里物流中的卡车与无人机联合作业提出了规范性的建议。
期刊介绍:
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.