Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry
To make the last mile of parcel delivery more efficient, service providers offer an increasing number of modes of delivery as alternatives to the traditional and often cost-intensive home delivery service. Parcel lockers and pickup stations can be utilized to reduce the number of stops and avoid cos...
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2023
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oai:localhost:PNK-84842023-05-23T02:34:23Z Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry Lukas, Janinhoff Robert, Klein Daniel, Scholz Multitrip vehicle routing parcel industry To make the last mile of parcel delivery more efficient, service providers offer an increasing number of modes of delivery as alternatives to the traditional and often cost-intensive home delivery service. Parcel lockers and pickup stations can be utilized to reduce the number of stops and avoid costly detours. To design smart delivery networks, service providers must evaluate different business models. In this context, a multitrip vehicle routing problem with delivery options and location-dependent costs arises. We present a data-driven framework to evaluate alternative delivery strategies, formulate a corresponding model and solve the problem heuristically using adaptive large neighborhood search. By examining large, real-life instances from a major European parcel service, we determine the potential and benefits of different delivery options. 2023-05-23T02:34:23Z 2023-05-23T02:34:23Z 2023 Book https://link.springer.com/article/10.1007/s00291-023-00710-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8484 en application/pdf Springer |
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Multitrip vehicle routing parcel industry |
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Multitrip vehicle routing parcel industry Lukas, Janinhoff Robert, Klein Daniel, Scholz Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry |
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To make the last mile of parcel delivery more efficient, service providers offer an increasing number of modes of delivery as alternatives to the traditional and often cost-intensive home delivery service. Parcel lockers and pickup stations can be utilized to reduce the number of stops and avoid costly detours. To design smart delivery networks, service providers must evaluate different business models. In this context, a multitrip vehicle routing problem with delivery options and location-dependent costs arises. We present a data-driven framework to evaluate alternative delivery strategies, formulate a corresponding model and solve the problem heuristically using adaptive large neighborhood search. By examining large, real-life instances from a major European parcel service, we determine the potential and benefits of different delivery options. |
format |
Book |
author |
Lukas, Janinhoff Robert, Klein Daniel, Scholz |
author_facet |
Lukas, Janinhoff Robert, Klein Daniel, Scholz |
author_sort |
Lukas, Janinhoff |
title |
Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry |
title_short |
Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry |
title_full |
Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry |
title_fullStr |
Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry |
title_full_unstemmed |
Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry |
title_sort |
multitrip vehicle routing with delivery options: a data-driven application to the parcel industry |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s00291-023-00710-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8484 |
_version_ |
1772331158596485120 |
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8.891145 |