Estimating Discharge Time of Cargo Units–A Case of Ro-Ro Shipping

Beizhen Jia, Line Reinhardt, Niels Grom Rytter, Mads Billesøe, G Haulot

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Ro-Ro shipping is a dominant form of short sea freight transport. Ro-Ro ship operators are today unable to provide customers with precise information about when trailers are available for pick-up by customers on the terminal despite vessel arrival times being well known in due time. This results in reduced truck utilization, longer waiting time for drivers, less efficient yard space utilization, potential terminal congestion and dissatisfied customers. In this paper the cargo unit discharge time estimation problem of Ro-Ro shipping is solved in collaboration with a European short-sea Ro-Ro shipping company. A module-based framework using statistical analysis for estimating the discharge time is proposed and tested. The initial framework is able to estimate the earliest pick-up time of each individual truck or trailer within 1 h accuracy for up to 70% of all cargo. The results of the study show potential for improving …

Cite this

@article{46d7f58b9fca4385a440b0a4746599f4,
title = "Estimating Discharge Time of Cargo Units–A Case of Ro-Ro Shipping",
abstract = "Ro-Ro shipping is a dominant form of short sea freight transport. Ro-Ro ship operators are today unable to provide customers with precise information about when trailers are available for pick-up by customers on the terminal despite vessel arrival times being well known in due time. This results in reduced truck utilization, longer waiting time for drivers, less efficient yard space utilization, potential terminal congestion and dissatisfied customers. In this paper the cargo unit discharge time estimation problem of Ro-Ro shipping is solved in collaboration with a European short-sea Ro-Ro shipping company. A module-based framework using statistical analysis for estimating the discharge time is proposed and tested. The initial framework is able to estimate the earliest pick-up time of each individual truck or trailer within 1 h accuracy for up to 70{\%} of all cargo. The results of the study show potential for improving …",
author = "Beizhen Jia and Line Reinhardt and Rytter, {Niels Grom} and Mads Billes{\o}e and G Haulot",
year = "2019",
month = "11",
day = "1",
language = "English",
journal = "Proceedings of 9th Industrial Conference on Data Mining ICDM´2009 : Lecture Notes of Computer Science, vol. 5633",
publisher = "Springer",

}

Estimating Discharge Time of Cargo Units–A Case of Ro-Ro Shipping. / Jia, Beizhen; Reinhardt, Line; Rytter, Niels Grom; Billesøe, Mads; Haulot, G.

In: Proceedings of 9th Industrial Conference on Data Mining ICDM´2009 : Lecture Notes of Computer Science, vol. 5633, 01.11.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Estimating Discharge Time of Cargo Units–A Case of Ro-Ro Shipping

AU - Jia, Beizhen

AU - Reinhardt, Line

AU - Rytter, Niels Grom

AU - Billesøe, Mads

AU - Haulot, G

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Ro-Ro shipping is a dominant form of short sea freight transport. Ro-Ro ship operators are today unable to provide customers with precise information about when trailers are available for pick-up by customers on the terminal despite vessel arrival times being well known in due time. This results in reduced truck utilization, longer waiting time for drivers, less efficient yard space utilization, potential terminal congestion and dissatisfied customers. In this paper the cargo unit discharge time estimation problem of Ro-Ro shipping is solved in collaboration with a European short-sea Ro-Ro shipping company. A module-based framework using statistical analysis for estimating the discharge time is proposed and tested. The initial framework is able to estimate the earliest pick-up time of each individual truck or trailer within 1 h accuracy for up to 70% of all cargo. The results of the study show potential for improving …

AB - Ro-Ro shipping is a dominant form of short sea freight transport. Ro-Ro ship operators are today unable to provide customers with precise information about when trailers are available for pick-up by customers on the terminal despite vessel arrival times being well known in due time. This results in reduced truck utilization, longer waiting time for drivers, less efficient yard space utilization, potential terminal congestion and dissatisfied customers. In this paper the cargo unit discharge time estimation problem of Ro-Ro shipping is solved in collaboration with a European short-sea Ro-Ro shipping company. A module-based framework using statistical analysis for estimating the discharge time is proposed and tested. The initial framework is able to estimate the earliest pick-up time of each individual truck or trailer within 1 h accuracy for up to 70% of all cargo. The results of the study show potential for improving …

M3 - Journal article

JO - Proceedings of 9th Industrial Conference on Data Mining ICDM´2009 : Lecture Notes of Computer Science, vol. 5633

JF - Proceedings of 9th Industrial Conference on Data Mining ICDM´2009 : Lecture Notes of Computer Science, vol. 5633

ER -