A practical delivery route planning system

Asger Gitz-Johansen; Mikkel Elkjaer Holm; Laurids Vinther Kirkeby; Dan Kristiansen; Alexander Stoica Ostenfeld; Morten Konggaard Schou; Bin Yang

doi:10.1109/MDM.2019.00-37

A practical delivery route planning system

Asger Gitz-Johansen, Mikkel Elkjaer Holm, Laurids Vinther Kirkeby, Dan Kristiansen, Alexander Stoica Ostenfeld, Morten Konggaard Schou, Bin Yang

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

Abstract

Thanks to recent e-commerce growth, the parcel delivery industry is booming. We demonstrate a system that provides a practical solution for scheduling and planning parcel delivery routes. Given a parcel delivery workload, e.g., the number of parcels to be delivered and the sizes of the parcels, the system tries to identify a set of delivery routes such that the workload is satisfied and the total delivery cost is minimized. The system is developed on top of aSTEP, a spatio-Temporal data analytics platform developed at Aalborg University, and is tested with parcel delivery workloads provided by a large logistic company in Denmark.

Original language	English
Title of host publication	Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019
Number of pages	2
Publisher	IEEE
Publication date	Jun 2019
Pages	349-350
Article number	8788747
ISBN (Print)	978-1-7281-3364-5
ISBN (Electronic)	9781728133638
DOIs	https://doi.org/10.1109/MDM.2019.00-37
Publication status	Published - Jun 2019
Event	20th International Conference on Mobile Data Management, MDM 2019 - Hong Kong, Hong Kong Duration: 10 Jun 2019 → 13 Jun 2019

Conference

Conference	20th International Conference on Mobile Data Management, MDM 2019
Country/Territory	Hong Kong
City	Hong Kong
Period	10/06/2019 → 13/06/2019
Sponsor	Croucher Foundation, Hong Kong Baptist University, Department of Computer Science, IEEE, IEEE Computer Society, IEEE Technical Committee on Data Engineering

Series	Proceedings - IEEE International Conference on Mobile Data Management
Volume	2019-June
ISSN	1551-6245

Keywords

Logistics
Routing
Spatio temporal data analytics

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title = "A practical delivery route planning system",

abstract = "Thanks to recent e-commerce growth, the parcel delivery industry is booming. We demonstrate a system that provides a practical solution for scheduling and planning parcel delivery routes. Given a parcel delivery workload, e.g., the number of parcels to be delivered and the sizes of the parcels, the system tries to identify a set of delivery routes such that the workload is satisfied and the total delivery cost is minimized. The system is developed on top of aSTEP, a spatio-Temporal data analytics platform developed at Aalborg University, and is tested with parcel delivery workloads provided by a large logistic company in Denmark.",

keywords = "Logistics, Routing, Spatio temporal data analytics",

author = "Asger Gitz-Johansen and Holm, {Mikkel Elkjaer} and Kirkeby, {Laurids Vinther} and Dan Kristiansen and Ostenfeld, {Alexander Stoica} and Schou, {Morten Konggaard} and Bin Yang",

year = "2019",

month = jun,

doi = "10.1109/MDM.2019.00-37",

language = "English",

isbn = "978-1-7281-3364-5",

series = "Proceedings - IEEE International Conference on Mobile Data Management",

publisher = "IEEE",

pages = "349--350",

booktitle = "Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019",

address = "United States",

note = "20th International Conference on Mobile Data Management, MDM 2019 ; Conference date: 10-06-2019 Through 13-06-2019",

}

Gitz-Johansen, A, Holm, ME, Kirkeby, LV, Kristiansen, D, Ostenfeld, AS, Schou, MK & Yang, B 2019, A practical delivery route planning system. in Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019., 8788747, IEEE, Proceedings - IEEE International Conference on Mobile Data Management, vol. 2019-June, pp. 349-350, 20th International Conference on Mobile Data Management, MDM 2019, Hong Kong, Hong Kong, 10/06/2019. https://doi.org/10.1109/MDM.2019.00-37

A practical delivery route planning system. / Gitz-Johansen, Asger; Holm, Mikkel Elkjaer; Kirkeby, Laurids Vinther et al.
Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019. IEEE, 2019. p. 349-350 8788747 (Proceedings - IEEE International Conference on Mobile Data Management, Vol. 2019-June).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - A practical delivery route planning system

AU - Gitz-Johansen, Asger

AU - Holm, Mikkel Elkjaer

AU - Kirkeby, Laurids Vinther

AU - Kristiansen, Dan

AU - Ostenfeld, Alexander Stoica

AU - Schou, Morten Konggaard

AU - Yang, Bin

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N2 - Thanks to recent e-commerce growth, the parcel delivery industry is booming. We demonstrate a system that provides a practical solution for scheduling and planning parcel delivery routes. Given a parcel delivery workload, e.g., the number of parcels to be delivered and the sizes of the parcels, the system tries to identify a set of delivery routes such that the workload is satisfied and the total delivery cost is minimized. The system is developed on top of aSTEP, a spatio-Temporal data analytics platform developed at Aalborg University, and is tested with parcel delivery workloads provided by a large logistic company in Denmark.

AB - Thanks to recent e-commerce growth, the parcel delivery industry is booming. We demonstrate a system that provides a practical solution for scheduling and planning parcel delivery routes. Given a parcel delivery workload, e.g., the number of parcels to be delivered and the sizes of the parcels, the system tries to identify a set of delivery routes such that the workload is satisfied and the total delivery cost is minimized. The system is developed on top of aSTEP, a spatio-Temporal data analytics platform developed at Aalborg University, and is tested with parcel delivery workloads provided by a large logistic company in Denmark.

KW - Logistics

KW - Routing

KW - Spatio temporal data analytics

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DO - 10.1109/MDM.2019.00-37

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SN - 978-1-7281-3364-5

T3 - Proceedings - IEEE International Conference on Mobile Data Management

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PB - IEEE

T2 - 20th International Conference on Mobile Data Management, MDM 2019

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ER -

A practical delivery route planning system

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Keywords

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