Dataset for the van-drone routing problem with multiple delivery drop points

被引:1
|
作者
Athanasiadis, Eleftherios [1 ]
Koutras, Vasilis [1 ]
Zeimpekis, Vasileios [1 ]
机构
[1] Univ Aegean, Sch Engn, Dept Financial & Management Engn, 41 Kountouriotou St, Chios 82100, Greece
来源
DATA IN BRIEF | 2023年 / 48卷
关键词
Last mile delivery; City logistics; Routing optimization; Van -drone in tandem delivery;
D O I
10.1016/j.dib.2023.109192
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The distribution of parcels is one of the most complex and challenging processes in supply chain execution. Lately, the development of both electronic and quick commerce has driven carriers and courier operators to identify more effective methods for express parcel delivery. To this end, the development of efficient distribution networks that aim in increasing customer experience while maintaining low operating costs is significant importance both for researchers as well as for practitioners. This article presents a dataset for the Van Drone Routing Problem with Multiple Delivery Points and Cooperation (VDRPMDPC). The latter examines a van-drone team from an operational viewpoint, where a van moves along a road network while the drone egress and ingress from a van to a nearby delivery location and then travels back to the van. This problem has been created with the aim of assessing the design of more sustainable and costeffective delivery routes in urban and semi urban environments via the use of Unmanned Aerial Vehicles (UAVs). For the development of this dataset real geographical positions have been used located at two different areas of Athens, Greece. The entire benchmark is composed of 14 instancescomprised by 20, 40, 60 and 100 clients respectively. The dataset is publicly available for its use and modification.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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页数:9
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