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

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 develop...

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Autores principales: Athanasiadis, Eleftherios, Koutras, Vasilis, Zeimpekis, Vasileios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184041/
https://www.ncbi.nlm.nih.gov/pubmed/37197055
http://dx.doi.org/10.1016/j.dib.2023.109192
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author Athanasiadis, Eleftherios
Koutras, Vasilis
Zeimpekis, Vasileios
author_facet Athanasiadis, Eleftherios
Koutras, Vasilis
Zeimpekis, Vasileios
author_sort Athanasiadis, Eleftherios
collection PubMed
description 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 cost-effective 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 instances comprised by 20, 40, 60 and 100 clients respectively. The dataset is publicly available for its use and modification.
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spelling pubmed-101840412023-05-16 Dataset for the van-drone routing problem with multiple delivery drop points Athanasiadis, Eleftherios Koutras, Vasilis Zeimpekis, Vasileios Data Brief Data Article 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 cost-effective 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 instances comprised by 20, 40, 60 and 100 clients respectively. The dataset is publicly available for its use and modification. Elsevier 2023-04-29 /pmc/articles/PMC10184041/ /pubmed/37197055 http://dx.doi.org/10.1016/j.dib.2023.109192 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Athanasiadis, Eleftherios
Koutras, Vasilis
Zeimpekis, Vasileios
Dataset for the van-drone routing problem with multiple delivery drop points
title Dataset for the van-drone routing problem with multiple delivery drop points
title_full Dataset for the van-drone routing problem with multiple delivery drop points
title_fullStr Dataset for the van-drone routing problem with multiple delivery drop points
title_full_unstemmed Dataset for the van-drone routing problem with multiple delivery drop points
title_short Dataset for the van-drone routing problem with multiple delivery drop points
title_sort dataset for the van-drone routing problem with multiple delivery drop points
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184041/
https://www.ncbi.nlm.nih.gov/pubmed/37197055
http://dx.doi.org/10.1016/j.dib.2023.109192
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AT koutrasvasilis datasetforthevandroneroutingproblemwithmultipledeliverydroppoints
AT zeimpekisvasileios datasetforthevandroneroutingproblemwithmultipledeliverydroppoints