Estimating discharge time of cargo units – A case of Ro-Ro shipping

Beizhen Jia*, Niels Gorm Malý Rytter, Line Blander Reinhardt, Gauvain Haulot, Mads Bentzen Billesø


Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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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 performance and accuracy. Further investigation and testing is currently ongoing by the case company based on the results from this study.

TitelComputational Logistics - 10th International Conference, ICCL 2019, Proceedings
RedaktørerCarlos Paternina-Arboleda, Stefan Voß
Publikationsdatosep. 2019
ISBN (Trykt)9783030311391
StatusUdgivet - sep. 2019
Udgivet eksterntJa
Begivenhed10th International Conference on Computational Logistics, ICCL 2019 - Barranquilla, Colombia
Varighed: 30. sep. 20192. okt. 2019


Konference10th International Conference on Computational Logistics, ICCL 2019
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind11756 LNCS


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