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

Beizhen Jia, Niels Gorm Rytter, Line Reinhardt, Gauvain Haulot, Mads Bentzen Billesøe

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review


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 …
TitelComputational Logistics : 10th International Conference, ICCL 2019, Barranquilla, Colombia, September 30 – October 2, 2019, Proceedings
RedaktørerCarlos Paternina-Arboleda, Stefan Voß
Antal sider13
Publikationsdato30 sep. 2019
ISBN (Trykt)978-3-030-31139-1
ISBN (Elektronisk)978-3-030-31140-7
StatusUdgivet - 30 sep. 2019
Begivenhed10th International Conference on Computational Logistics - Universidad del Norte, Barranquilla, Colombia
Varighed: 30 sep. 20192 okt. 2019


Konference10th International Conference on Computational Logistics
Lokation Universidad del Norte
NavnLecture Notes in Computer Science

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