Robust Drone Delivery with Weather Information

无人机 调度(生产过程) 运筹学 计算机科学 可扩展性 聚类分析 数学优化 工程类 数学 遗传学 生物 数据库 机器学习
作者
Chun Cheng,Yossiri Adulyasak,Louis-Martin Rousseau
出处
期刊:Manufacturing & Service Operations Management [Institute for Operations Research and the Management Sciences]
卷期号:26 (4): 1402-1421 被引量:28
标识
DOI:10.1287/msom.2022.0339
摘要

Problem definition: Drone delivery has recently garnered significant attention due to its potential for faster delivery at a lower cost than other delivery options. When scheduling drones from a depot for delivery to various destinations, the dispatcher must take into account the uncertain wind conditions, which affect the delivery times of drones to their destinations, leading to late deliveries. Methodology/results: To mitigate the risk of delivery delays caused by wind uncertainty, we propose a two-period drone scheduling model to robustly optimize the delivery schedule. In this framework, the scheduling decisions are made in the morning, with the provision for different delivery schedules in the afternoon that adapt to updated weather information available by midday. Our approach minimizes the essential riskiness index, which can simultaneously account for the probability of tardy delivery and the magnitude of lateness. Using wind observation data, we characterize the uncertain flight times via a cluster-wise ambiguity set, which has the benefit of tractability while avoiding overfitting the empirical distribution. A branch-and-cut (B&C) algorithm is developed for this adaptive distributionally framework to improve its scalability. Our adaptive distributionally robust model can effectively reduce lateness in out-of-sample tests compared with other classical models. The proposed B&C algorithm can solve instances to optimality within a shorter time frame than a general modeling toolbox. Managerial implications: Decision makers can use the adaptive robust model together with the cluster-wise ambiguity set to effectively reduce service lateness at customers for drone delivery systems. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72101049 and 72232001], the Natural Science Foundation of Liaoning Province [Grant 2023-BS-091], the Fundamental Research Funds for the Central Universities [Grant DUT23RC(3)045], and the Major Project of the National Social Science Foundation [Grant 22&ZD151]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/msom.2022.0339 .
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
雨柏完成签到 ,获得积分10
1秒前
wanci应助qwe1108采纳,获得10
2秒前
明天过后完成签到,获得积分10
4秒前
jin完成签到,获得积分10
5秒前
yhy完成签到 ,获得积分10
6秒前
黑色卡布奇诺完成签到,获得积分20
6秒前
tanglu发布了新的文献求助10
6秒前
可爱的函函应助梁大海采纳,获得10
6秒前
成就绮琴完成签到 ,获得积分10
7秒前
xicifish完成签到,获得积分10
7秒前
目光之澄完成签到,获得积分10
8秒前
wanci应助研友_ndDPBn采纳,获得10
8秒前
耍酷的白梦完成签到,获得积分10
9秒前
miracle完成签到 ,获得积分10
10秒前
coding完成签到,获得积分10
11秒前
12秒前
犹豫水蓝完成签到,获得积分10
13秒前
yin完成签到,获得积分10
13秒前
JUGG完成签到,获得积分10
13秒前
CipherSage应助阿湫采纳,获得10
14秒前
FIN应助手机采纳,获得20
14秒前
星辰大海应助东黎采纳,获得10
14秒前
量子星尘发布了新的文献求助10
14秒前
wujingshuai完成签到,获得积分10
15秒前
少年完成签到,获得积分10
15秒前
星辰大海应助ficus_min采纳,获得10
16秒前
小柒柒完成签到,获得积分10
17秒前
sdfwsdfsd完成签到,获得积分10
18秒前
亮仔完成签到,获得积分10
19秒前
土豆丝发布了新的文献求助10
19秒前
ylw完成签到,获得积分20
20秒前
西门明雪完成签到,获得积分10
20秒前
20秒前
烟花应助万松辉采纳,获得10
21秒前
爆米花应助不站在雾里采纳,获得10
21秒前
yy完成签到,获得积分20
22秒前
高贵宛海完成签到,获得积分10
22秒前
854fycchjh完成签到,获得积分10
23秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038524
求助须知:如何正确求助?哪些是违规求助? 3576221
关于积分的说明 11374737
捐赠科研通 3305912
什么是DOI,文献DOI怎么找? 1819354
邀请新用户注册赠送积分活动 892688
科研通“疑难数据库(出版商)”最低求助积分说明 815048