The two-echelon vehicle routing problem with covering options: City logistics with cargo bikes and parcel lockers

车辆路径问题 水准点(测量) 卡车 启发式 计算机科学 布线(电子设计自动化) 城市物流 运筹学 整数规划 运输工程 数学优化 数学 算法 工程类 计算机网络 人工智能 航空航天工程 大地测量学 地理
作者
David L.J.U. Enthoven,Bolor Jargalsaikhan,Kees Jan Roodbergen,Michiel A.J. uit het Broek,Albert H. Schrotenboer
出处
期刊:Computers & Operations Research [Elsevier BV]
卷期号:118: 104919-104919 被引量:101
标识
DOI:10.1016/j.cor.2020.104919
摘要

We introduce the two-echelon vehicle routing problem with covering options (2E-VRP-CO). This problem arises in sustainable applications for e-commerce and city distribution. In the first echelon, trucks depart from a single depot and transport goods to two types of locations. At covering locations, such as parcel lockers, customers can pick up goods themselves. At satellite locations, goods are transferred to zero-emission vehicles (such as cargo bikes) that deliver to customers. If desired, customers can indicate their choice for delivery. The 2E-VRP-CO aims at finding cost-minimizing solutions by selecting locations and routes to serve all customers. We present a compact mixed integer programming formulation and an efficient and tailored adaptive large neighborhood search heuristic that provides high-quality, and often optimal, solutions to the 2E-VRP-CO. The 2E-VRP-CO has as special cases the two-echelon vehicle routing problem, and the simultaneous facility location and vehicle routing problem without duration constraints. On these special cases, for which our heuristic predominantly solves the established benchmark instances either to optimality or to the best-known solution, our heuristic finds three new best-known solutions. Moreover, we introduce a new set of benchmark instances for the 2E-VRP-CO and provide managerial insights when distribution via both satellite and covering locations is most beneficial. Our results indicate that customers in the same area are best-served either via cargo-bikes or parcel lockers (i.e., not both), and that the use of parcel lockers has a great potential to reduce driving distance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
Mr.Su完成签到 ,获得积分10
1秒前
molly完成签到 ,获得积分10
2秒前
搞怪的思卉完成签到,获得积分10
3秒前
梅夕阳完成签到,获得积分10
4秒前
超级的冷菱完成签到 ,获得积分10
6秒前
C_Li完成签到,获得积分10
7秒前
ruuuu完成签到,获得积分10
7秒前
林结衣完成签到,获得积分10
9秒前
冷酷孤风完成签到,获得积分10
11秒前
明明如月完成签到,获得积分10
12秒前
GONTUYZ完成签到 ,获得积分10
12秒前
洛莫完成签到,获得积分10
13秒前
眼睛大樱桃完成签到,获得积分10
16秒前
言非离完成签到,获得积分10
18秒前
19秒前
彭于晏应助C_Li采纳,获得10
21秒前
风格完成签到,获得积分10
23秒前
Song完成签到 ,获得积分10
24秒前
来福发布了新的文献求助10
24秒前
holly完成签到 ,获得积分10
25秒前
999完成签到,获得积分10
26秒前
对方正在看文献完成签到,获得积分10
30秒前
诚心的映梦完成签到,获得积分20
34秒前
mjc完成签到 ,获得积分10
37秒前
珠珠完成签到 ,获得积分10
38秒前
a2480896完成签到,获得积分10
45秒前
FashionBoy应助科研通管家采纳,获得10
46秒前
SciGPT应助科研通管家采纳,获得10
46秒前
46秒前
46秒前
46秒前
乐乐应助科研通管家采纳,获得10
46秒前
46秒前
zhaonana完成签到 ,获得积分10
48秒前
徐慕源完成签到,获得积分10
48秒前
星辰大海应助a2480896采纳,获得10
52秒前
cl完成签到 ,获得积分10
53秒前
xixixi完成签到 ,获得积分10
53秒前
雪落你看不见完成签到,获得积分10
57秒前
Criminology34应助笨笨映寒采纳,获得10
59秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6355858
求助须知:如何正确求助?哪些是违规求助? 8170527
关于积分的说明 17201202
捐赠科研通 5411774
什么是DOI,文献DOI怎么找? 2864385
邀请新用户注册赠送积分活动 1841922
关于科研通互助平台的介绍 1690224